JP2020177547A - Work support system - Google Patents

Abstract

To provide a work support system capable of providing information such as know-how stored in a database with excellent convenience and easy understanding.SOLUTION: A work support system 100 includes: a database 120 for storing knowledge data 121 representing know-how related to work and sense data 122 representing sense perceptible in relation to the knowledge data 121 in a searchable and renewable fashion; a controller 111 for executing a drive analysis function 130 that is an analysis function for setting search conditions based on input information, and searching knowledge data and sensory data stored in the database 120 to derive a solution for input information and a resolution analysis function 140; and an output unit 114 for outputting a solution obtained by executing the drive analysis function 130 and the solution analysis function 140 by the controller 111 as output information. Input information is first information described in a predetermined format including characters, numerals and symbols and output information is second information that expresses senses.SELECTED DRAWING: Figure 1

Description

The present invention relates to a work support system.

Conventionally, for example, a processing condition automatic search control method (hereinafter, simply referred to as “conventional control method”) disclosed in Japanese Patent Application Laid-Open No. 4-122524 is known. In this conventional control method, knowledge data including machining condition data and production rules are stored in a numerical control device that controls an electric discharge machine. Then, a plurality of electric discharge machining conditions are obtained by the inference engine according to the knowledge data and the setting conditions set by the operator.

Further, conventionally, for example, a knowledge model construction system and a knowledge model construction method disclosed in Japanese Patent Application Laid-Open No. 2018-147351 (hereinafter, simply referred to as "conventional system and the like") are also known. In this conventional system or the like, a factor extraction means for extracting terms of technical information in the field as a factor on a knowledge model, a relationship extraction means for extracting the relationship between the extracted factors, and a relationship between the extracted factors. The strength of the interrelationship between the factors is shown based on the interrelationship information generation means that stylizes the sex and generates the information on the interrelationship of the factors, and the interrelationship of the extracted factors and the interrelationship of the generated factors. It is provided with an interfactor contribution calculation means for calculating the interfactor contribution.

In addition, the conventional system describes the extracted factors, the relationships between the extracted factors, the information on the interrelationships between the extracted factors, and the calculated contributions between the factors according to a predetermined format, and is a knowledge model. It has a knowledge model storage means to store in. As a result, the conventional system can construct a knowledge model as information expressed in a form that can be easily interpreted.

JP-A-4-122524 Japanese Unexamined Patent Publication No. 2018-147351

By the way, in the above-mentioned conventional control method and the conventional system, input information in a predetermined format using only characters, numerical values and symbols is input, and the knowledge, knowledge and experience obtained so far based on the input information, Search for knowledge data and knowledge models that have accumulated information such as ideas, that is, know-how. Then, the conventional control method, the conventional system, and the like provide output information in a predetermined format using only characters, numerical values, and symbols for the know-how obtained by the search. That is, in the above-mentioned conventional control method and the conventional system, it is necessary to input the input information for obtaining the required know-how in a predetermined format using only characters, numerical values and symbols, and the obtained know-how is It is expressed in a predetermined format using only letters, numbers and symbols.

In this case, it may be difficult for an inexperienced worker who lacks knowledge, experience, etc. in a predetermined field to compose input information using only characters, numerical values, and symbols, and as a result. , You may not get the know-how you need. On the other hand, for inexperienced workers, even if the know-how is provided using only letters, numerical values and symbols, it may be difficult to understand the know-how, and there is room for improvement.

The present invention has been made to solve the above problems, and an object of the present invention is to provide a work support system capable of providing information such as know-how accumulated in a database with excellent convenience and easy understanding. To do.

The work support system according to the present invention is based on a database that can searchably and updately store knowledge data representing work know-how and sensory data representing a sense perceptible by an operator in relation to the knowledge data, and input information. The control unit that sets the search conditions, searches the knowledge data and sensory data stored in the database, and executes the analysis function that derives the solution to the input information, and outputs the solution obtained by executing the analysis function by the control unit. It is provided with an output unit that outputs information, and is used for work because it is described in a predetermined format including characters, numerical values and symbols, and is described in a predetermined format including characters, numerical values and symbols. Of the state and sensation of the device, at least one of the second information representing the sensation is the input information, and the other of the first information and the second information is the output information.

According to this, the work support system inputs one of a predetermined form of first information using characters, numerical values and symbols as input information and at least one of second information representing a sensation perceptible by the operator. Can be done. As a result, by inputting, for example, a video of the operating state of the device, a second information representing a sense of sound, vibration, etc. of the device as input information, even an inexperienced worker can obtain appropriate second information. Can be easily entered, and convenience can be enhanced. Further, by inputting the first information, an ordinary worker does not need to prepare, for example, a video of the operating state of the device and various data representing the sound, vibration, etc. of the device, and enhances convenience. Can be done.

On the other hand, the work support system can output the other of the first information and the second information as output information. As a result, by outputting the second information as output information, even an inexperienced worker can perceive at least a sense related to know-how, and for example, a predetermined value using only letters, numerical values and symbols. Know-how can be easily understood compared to when information in the form is provided. Further, by outputting the first information, a normal worker can easily understand, for example, an improvement point of the work by comparing the experience and know-how so far.

It is a block diagram of the work support system which concerns on one Embodiment of this invention. It is a top view which shows the whole structure of a cutting apparatus. It is sectional drawing of the cutting apparatus. It is a block diagram of the control device provided in the cutting device of FIGS. 2 and 3. It is a figure for demonstrating various information which is stored updatable in a database. This is a table referred to by the control unit of FIG. This is a map referred to by the control unit of FIG. It is a flowchart of the work support tool program executed by the control part of FIG. It is a figure for demonstrating the setting of recommended machining conditions by the control part of FIG. It is a figure for demonstrating the recommended machining condition set by the control part of FIG. It is a figure for demonstrating the background information and the degree of certainty (priority) included in the answer generated by the control part of FIG. It is a figure for demonstrating the measure plan included in the answer generated by the control part of FIG. It is a schematic diagram for demonstrating the image at the time of cutting a non-defective workpiece by the cutting apparatus of FIG. 2 and FIG. It is a figure for demonstrating the vibration output by the output part of FIG. It is a schematic diagram for demonstrating the image at the time of cutting a defective workpiece by the cutting apparatus of FIG. 2 and FIG.

(1. Configuration of work support system 100)
Hereinafter, the work support system 100 will be described with reference to the drawings. The work support system 100 in one embodiment supports machining (production method), which is work using a machine tool by a worker who operates a machine tool (for example, a cutting device 200 described later) which is a production facility. Is. In particular, the work support system 100 provides the knowledge (knowledge) and experience of skilled workers who have abundant experience in machining (cutting, etc.) using machine tools for inexperienced workers who have little experience in operating machine tools. Provides a perceptible sensation for inexperienced workers in relation to know-how and know-how regarding machining based on. As a result, the work support system 100 can support machining by an inexperienced worker using a machine tool, and can also support an educational work for an inexperienced worker.

As shown in FIG. 1, the work support system 100 includes a personal computer 110 and a database 120 as a database for investigating the factors of problems (problems) that have occurred in machining. Further, the work support system 100 includes a drive analysis function 130 as a first analysis function executed by the personal computer 110 and a solution analysis function 140 as a second analysis function executed by the personal computer 110. .. Here, as the analysis function, for example, a solver or the like, which is a function for obtaining the optimum value of a variable by analysis in a mathematical formula including a plurality of variables, can be used in order to obtain a desired result.

As shown in FIG. 1, the personal computer 110 includes a control unit 111 whose main components are a CPU, ROM, RAM, and the like, and the control unit 111 comprehensively controls the operation of the work support system 100. Therefore, the input unit 112, the storage unit 113, the output unit 114, the interface 115, and the database update unit 116 are communicably connected to the control unit 111.

The input unit 112 as a question input unit has a keyboard, a microphone, or an interface for inputting images such as still images and moving images, and is mainly operated by an inexperienced worker to produce a production method (for example, a machine tool). Enter questions about the machining method (cutting method, etc.) and the machine tool (cutting device 200, etc.) that is the production equipment. The storage unit 113 stores various programs including the work support tool program described later and various data acquired by executing the work support tool program (for example, recommended machining conditions recommended as described later). Further, the storage unit 113 stores the drive analysis function 130 and the solution analysis function 140 as a file, and outputs the drive analysis function 130 and the solution analysis function 140 to the control unit 111 as an executable file.

The output unit 114 outputs the processing content including the answer to be described later obtained by executing the work support tool program to an inexperienced worker. The output unit 114 includes a monitor device that displays images such as characters, still images, and moving images, a speaker device that generates sound, a vibration device that reproduces vibration generated during machining, and heating that reproduces heat generated during machining. It is appropriately selected from an apparatus and an odor generator that generates an odor generated during machining (for example, a burnt oil odor). In the present embodiment, the output unit 114 is a display 114a installed on a desk so as to display images such as characters, still images, and moving images, and a vibration device that reproduces vibration generated during machining (during work). It is composed of 114b (see FIG. 14).

The vibrator 114b can also operate as a speaker device based on the vibration data described later. Further, the vibrator 114b is not limited to the box shape as shown in FIG. 14, and may be, for example, a glove worn by an inexperienced worker. Further, since the vibrator 114b can be contacted by an inexperienced worker, it can be configured to generate heat perceived by the inexperienced worker as a tactile sensation in addition to generating vibration. ..

The interface 115 as an acquisition unit is communicably connected to a machine tool (cutting device 200, etc.) to acquire various information. The database update unit 116 as an update unit updates various information stored in the database 120, that is, knowledge data and sensory data described later.

The database 120 is communicably connected to the personal computer 110 (specifically, the control unit 111 and the database update unit 116). The database 120 stores various information related to machining (cutting, etc.) based on the knowledge (knowledge) and experience possessed by skilled workers, that is, knowledge data 121 representing know-how, which can be updated and stored in a predetermined storage position. doing.

Further, the database 120 stores the sensory data 122, which is electronic data for reproducing the visual, auditory, tactile, and odor senses that can be perceived by an inexperienced worker in relation to the knowledge data which is the know-how, at a predetermined storage position. It is stored and stored up to date. The sensory data is, for example, electronic data representing images such as still images and moving images perceived as vision, electronic data representing vibration, heat or sound perceived as tactile or auditory sense, and electronic data representing odor perceived as odor. And so on. In the present embodiment, the database 120 is used as video data as electronic data representing still images and moving images displayed on the display 114a of the output unit 114, and electronic data representing vibration reproduced by the vibrator 114b. The case where the waveform data is stored as the sensory data 122 will be described.

The database 120 may be connected to the personal computer 110 and may be connected to another personal computer via a network line (not shown). In this case, a skilled worker can input the knowledge data 121 and the sensory data 122 into the database 120 by using the input unit 112 of the personal computer 110 or the keyboard of another personal computer.

The drive analysis function 130 as the first analysis function is a function file executed by the control unit 111. The drive analysis function 130 searches for knowledge data 121 related to machining (cutting, etc.) stored and accumulated in the database 120, and guides the search process and search path described later as the first solution. In the following description, the "search process" and the "search route" may be collectively referred to as "background information". Further, the drive analysis function 130 searches the sensory data 122 related to the knowledge data 121 to which the route information is derived, which is stored and stored in the database 120.

The solution analysis function 140 as the second analysis function is a function file executed by the control unit 111. The solution analysis function 140 generates a search condition based on a question or the like input by an inexperienced worker as input information and outputs the search condition to the drive analysis function 130. Further, the solution analysis function 140 outputs an answer as output information to a question or the like input by an inexperienced worker as a second solution from the output unit 114 based on the background information obtained from the drive analysis function 130. ..

(2. Configuration of cutting device 200)
The cutting device 200 is a lathe as shown in FIG. The cutting device 200 includes a workpiece holding device 210, a workpiece feeding device 220, a tool holding device 230, and a bite 240 as a tool.

The work holding device 210 rotatably holds the work W (for example, a simple cylinder or the like) which is a production object. The geographic feature holding device 210 includes a headstock 211 and a tailstock 212. The headstock 211 is a rotary spindle 214 that is rotatably supported by the headstock main body 213 as a housing and the headstock main body 213 and rotatably supports one end side (right side of the paper surface in FIG. 2) of the workpiece W in the axial direction. And a rotary spindle motor 215 (see FIG. 4) that applies a driving force for rotating the rotary spindle 214. The tailstock 212 includes a tailstock main body 216 as a housing and a tailstock center 217 that rotatably supports the other end side (left side of the paper surface in FIG. 2) of the workpiece W in the axial direction.

The work holding device 210 supports both ends of the work W in the direction of the rotation axis Aw by the rotation spindle 214 and the tailstock center 217 in a state where the rotation axis Aw of the work W is oriented parallel to the X-axis direction. Then, the workpiece W rotates around the rotation axis Aw by being driven by the rotation spindle motor 215.

The work feed device 220 feeds the work W in the X-axis direction, which is a predetermined direction. The geographic feature feeding device 220 includes a feeding table 221 and an X-axis driving device 222 (see FIG. 4). In addition, in FIGS. 2 and 3, the illustration of the X-axis drive device 222 is omitted. The feeder 221 is provided so that the upper surface of the bed 201 can be moved in the X-axis direction. Specifically, as shown in FIG. 3, a pair of X-axis guide rails 223 extending in the X-axis direction are provided on the upper surface of the bed 201, and the feed base 221 is guided by the X-axis guide rail 223 and has an X-axis. It is installed so that it can move in the direction. The X-axis drive device 222 is a screw feed device that feeds the feed base 221 to the bed 201 in the X-axis direction (that is, in the direction of the rotation axis Aw of the workpiece W).

A headstock 211 and a tailstock 212 are installed on the upper surface of the feed base 221. Therefore, the work piece W supported by the headstock 211 and the tailstock 212 drives the X-axis drive device 222 to move the feed base 221 in the X-axis direction, thereby moving the work piece W in the direction of the rotation axis Aw of the work piece W. Will be sent to.

The tool holding device 230 holds the bite 240 as a tool in a non-rotatable manner. The tool holding device 230 includes a column 231 and a Z-axis driving device 232 (see FIG. 4) as a tool displacement device, a saddle 233, and a holder 234. Note that in FIGS. 2 and 3, the Z-axis drive device 232 is not shown.

The column 231 is provided so that the upper surface of the bed 201 can be moved in the Z-axis direction. Specifically, a pair of Z-axis guide rails 235 extending in the Z-axis direction are provided on the upper surface of the bed 201, and the column 231 is installed so as to be movable in the Z-axis direction while being guided by the Z-axis guide rail 235. .. The Z-axis drive device 232 is a screw feed device that feeds the column 231 to the bed 201 in the Z-axis direction.

The holder 234 is fixed to the saddle 233 and holds the bite 240 detachably. As a result, the bite 240 held in the holder 234 moves in parallel with the bed 201 in the Z-axis direction (direction orthogonal to the X-axis direction, which is the feed direction) as the column 231 and the saddle 233 move.

Further, the cutting device 200 includes a control device 250 as shown in FIG. The control device 250 includes a workpiece rotation control unit 251, a feed control unit 252, a displacement control unit 253, and a machining condition input unit 254. The work piece rotation control unit 251 controls the drive of the rotation spindle motor 215 to rotate the work piece W supported by the rotation spindle 214 and the tailstock center 217.

The feed control unit 252 controls the drive of the X-axis drive device 222 and moves the feed base 221 in the X-axis direction to feed the workpiece W held by the workpiece holding device 210 in the X-axis direction. The displacement control unit 253 controls the drive of the Z-axis drive device 232 and translates the bite 240 mounted on the tool holding device 230 in the Z-axis direction.

The machining condition input unit 254 is operated by the worker, and the worker inputs the machining conditions when cutting the workpiece W which is the production target. Specifically, the machining condition input unit 254 uses the displacement amount of the cutting tool 240 (that is, the holder 234) in the Z-axis direction, the feeding speed of the workpiece W relative to the cutting tool 240 in the X-axis direction, the cutting speed, and cutting. Various machining conditions related to cutting including the loading amount and the material of the workpiece W are input. The machining condition input unit 254 is connected to the work rotation control unit 251, the feed control unit 252, and the displacement control unit 253, and the machining conditions input by the operator can be input to the work rotation control unit 251, the feed control unit 252, and the displacement control. Output to unit 253.

(3. Knowledge data 121 and sensory data 122 stored (registered) in the database 120)
Next, knowledge data 121, which is a production method accumulated in the database 120 and is know-how regarding a machining method (cutting method, etc.) and a machine tool (cutting device 200), will be specifically exemplified. Here, the knowledge data 121 described below includes a plurality of factors (factor elements) that cause problems in machining, the particle size of the problems and factors, and the connections (relationships) and factors between the problems and the factors. The connection (relevance) between factors. The "granularity" is, for example, simply a stepwise numerical value such as "1 to 5", a ranking by characters such as "large, medium and small", or a range represented by "large, medium and small" or numerical notation. is there.

Specifically, when a skilled worker stores (registers) knowledge data 121 corresponding to a large amount of wear of the bite 240 in the database 120 as a problem that occurs in machining, for example, cutting using a cutting device 200. Is illustrated. As shown in FIG. 5, the skilled worker first inputs "tool wear" as the "problem".

Then, the skilled worker inputs "cutting force" as a factor A considered to cause "wear of the tool", and inputs "cutting amount" as a factor B. The factors are not limited to two, and three or more factors include, for example, "cutting heat", "chemical wear", "cutting speed", "feed amount", "tool material", etc. Needless to say, it is possible to input.

Further, as shown in FIG. 5, a skilled worker inputs, for example, a numerical range (wear amount) as the "particle size" of the "problem", and increases the value as the numerical range (wear amount) increases. Enter the "rank" represented by the numerical notation of "1 to 5" and the "rank" or "range" represented by the letters "large, medium and small". In addition, a skilled worker inputs, for example, a numerical range (cutting force) as the "particle size" of "factor A", and the characters "large, medium, and small" correspond to the decrease in the numerical range (cutting force). Enter the "range" represented by the step notation by and the range notation by numerical value.

Further, a skilled worker inputs, for example, a numerical range (cutting amount) as the "particle size" of "factor B", and "1 to 4" so as to increase as the numerical range (cutting amount) increases. Enter the "rank" or "range" represented by the letters "rank" or "large, medium and small" in the stepwise notation of the numbers. Here, the "rank" and the "range" can be related (associated) with each other by using, for example, numerical values. As a result, when a skilled worker inputs both "rank" or "range" or "rank" and "range", for example, "range" corresponding to the input "rank" is also input, and vice versa. , The "rank" corresponding to the input "range" is also input, that is, the "rank" and the "range" can be linked.

Further, as shown by the arrow in FIG. 5, the skilled worker inputs the connection (relevance) between the "problem" and the "factor A", and also inputs the "factor A" and the "factor B". Enter the connection (relevance) between.
Specifically, there is a relationship that the skilled worker has a large "tool wear" when the cutting process is performed in a state where the "cutting force" is large and the "cutting amount" is large. I know that from my experience.

Therefore, based on this experience, in other words, based on the relevance, the skilled worker has "rank: 5" and "factor A" in which "tool wear" is extremely large as a "problem", as shown in FIG. Enter the connection with "Range: Large", which has a large "cutting force". In addition, a skilled worker inputs a connection between "range: large" of "cutting force" which is "factor A" and "rank: 2" which has a relatively large "cutting amount" which is "factor B". To do.

Similarly, a skilled worker has a relatively large "rank: 4" and "rank: 3" of "tool wear" which is a "problem" and a relatively large "range" of "cutting force" which is "factor A". : Enter the connection with "Medium". In addition, a skilled worker connects "range: medium", which is "factor A" with a relatively large "cutting force", and "rank: 3", which is a "factor B" with a large "cutting amount". input.

Furthermore, skilled workers have a relatively small "rank: 2" and "rank: 1" of "tool wear" which is a "problem" and a small "range: small" of "cutting force" which is "factor A". Enter the connection with. In addition, the skilled worker inputs the connection between "range: small" of "cutting force" which is "factor A" and "rank: 4" which is extremely large "cutting amount" which is "factor B". .. In this way, the skilled worker digitizes the knowledge data 121, which is the electronic data (digitization) of the plurality of factors (identified) and the connections (relationships) between these factors that have been scrutinized so as to solve the problem. It is stored (registered) in the database 120 as know-how.

Further, the skilled worker makes the sensory data 122 when the machining conditions are different in relation to the "problem" such as "tool wear" and "large vibration" correspond to the knowledge data 121 ( Store (register) in the database 120 (by linking). The sensory data 122 is, for example, video data of a still image or a moving image of a machining state by the cutting device 200, a state of a workpiece W, or a waveform data representing a sound or vibration of the cutting device 200 that changes according to the machining state. Alternatively, it is possible to register sample identification data or the like corresponding to the odor of cutting oil (oil burning, etc.) that changes according to the processing state.

Specifically, as shown in FIG. 6, the video data as the sensory data 122 includes an abnormality (state) that occurs in the workpiece W due to machining and an abnormality (state) that occurs in the cutting device 200 due to machining. It is electronic data obtained by photographing. In this case, in the work W, "scratches on the machined surface", "peeling", "burning", "burrs" and the like can be listed as abnormal items.

For example, a skilled worker indicates the degree of each item, that is, the deviation from the recommended machining conditions, based on the state of machining according to the "recommended machining conditions" as the actual solution described later, and can be a similar solution. Describe "medium" and "small" in table format. Then, the skilled worker stores (registers) the video data corresponding to "large", "medium", and "small" in each item as sensory data 122. Further, the skilled worker can obtain a similar solution by indicating the degree of each item shown in FIG. 6, that is, the deviation from the recommended processing conditions, in the waveform data as the sensory data 122 as well as the video data. Waveform data corresponding to "medium" and "small" is stored (registered) as sensory data 122.

Regarding the sensory data 122 in which one factor (for example, "cutting speed" or "cutting amount" in the cutting device 200) is related to one knowledge data 121, the control unit 111 provides an actual solution to be described later. Refer to the table shown in FIG. 6 using the difference between the recommended processing conditions of the above and the countermeasure plan which is the predicted solution. As a result, the control unit 111 selects the sensory data 122 corresponding to the “degree”, that is, the similar solution, which changes based on the “cutting speed” or the “cutting amount”. On the other hand, for the sensory data 122 in which two or more factors (for example, "cutting speed" and "cutting amount" in the cutting device 200) are related to one knowledge data 121, the control unit 111 recommends machining conditions. Refer to the map shown in FIG. 7 using the difference between the above and the countermeasure plan which is the predicted solution. As a result, the control unit 111 selects the “degree”, that is, the sensory data 122 corresponding to the similar solution, which changes in a complex manner based on the “cutting speed” and the “cutting amount”.

(4. Details of work support)
An example of work support will be described below. The control unit 111 of the personal computer 110 (more specifically, the CPU constituting the control unit 111; the same applies hereinafter) starts the work support tool program shown in FIG. 8 in step S10. Then, in the subsequent step S11, the control unit 111 inputs the initial conditions related to the cutting process as the machining process.

The initial condition is input by an inexperienced worker using the input unit 112. Specifically, as shown in FIG. 9, the initial conditions are, for example, the specifications of the work material (heat characteristics of the work material, hardness of the work material, elongation of the work material) forming the work W and the work W. This is the first information described in a predetermined format including characters, numerical values and symbols such as machining requirements (high quality, high efficiency, long tool life).

In this case, for example, the work material hardness as the work material specifications is added to the "rank" and "range" in the same manner as the above-mentioned "factor A" and "factor B", and is stored in the database as knowledge data 121. It is accumulated (registered) in 120. Then, when the initial condition is input, the control unit 111 proceeds to step S12.

Returning to FIG. 8 again, in step S12, the control unit 111 reads and executes the drive analysis function 130 and the solution analysis function 140 stored in the storage unit 113. As a result, the drive analysis function 130 and the solution analysis function 140 work together to generate recommended machining conditions as an actual solution. Specifically, the drive analysis function 130 searches the inside of the database 120 using the initial condition (input information) input in step S11 as the search condition, extracts a plurality of factors as the first solution, and solves the analysis function. Output to 140.

The solution analysis function 140 generates recommended machining conditions as a second solution (actual solution) by using a plurality of output factors, that is, know-how registered by a skilled worker. When the control unit 111 executes the drive analysis function 130 and the solution analysis function 140 to generate recommended machining conditions, the process proceeds to step S13. The generation of recommended processing conditions will be described in detail later.

In step S13, the control unit 111 outputs the recommended machining conditions generated in step S12. Specifically, the control unit 111 outputs the acquired recommended machining conditions to the output unit 114. As a result, the display 114a constituting the output unit 114 displays the output recommended machining conditions in characters and numbers as shown in FIG. 10, and teaches the recommended machining conditions to the inexperienced worker. Here, the control unit 111 stores the recommended machining conditions generated and taught in the storage unit 113 as an actual solution.

An inexperienced worker inputs the recommended machining conditions displayed on the display 114a of the output section 114 to the machining condition input section 254 constituting the control device 250 of the cutting device 200. As a result, in the cutting device 200, the control device 250 operates the rotary spindle motor 215, the X-axis drive device 222, and the Z-axis drive device 232 based on the recommended machining conditions input to the machining condition input unit 254. , The workpiece W is machined.

By the way, in the present embodiment, the recommended machining conditions are generated and taught based on the knowledge data 121 stored in the database 120, that is, the know-how input by the skilled worker. In this case, the inexperienced worker can confirm how the recommended machining conditions are set in order to realize the "work material specifications" and "machining requirements" that he / she has entered. Specifically, the inexperienced worker can confirm the relationship between the plurality of factors stored in the database 120 and these factors, that is, the search process and the search route.

Specifically, as shown by being surrounded by a thick solid line in FIG. 9, "work material hardness" is selected from the "work material specifications" input by an inexperienced worker as an initial condition, and recommended processing is performed. When "Rotary feed" is selected from the conditions, the factors (search process) that connect "work material hardness" and "rotary feed" and the relationship between the factors (search path) are taught. In FIG. 11, the search process is shown by a thick broken line, and the search path is shown by a thick solid line.

In this way, in the work support system 100, it is possible to present the search process (relationship) between the search process and the search process (factor) searched by the drive analysis function 130. This makes it possible for an inexperienced worker to easily understand why the "rotational feed" needs to be reduced when the "work material hardness" is large.

That is, as shown in FIG. 9, when the input factor is "work material hardness", it is necessary to secure "required tool cutting edge strength" in "tool required performance". Then, in order to secure this "required tool cutting edge strength", the "bite rake angle", "bite clearance angle" and "bite R" of the "tool specifications" are appropriately maintained at the time of cutting. There is a need. Therefore, inexperienced workers can understand that an output factor, that is, a machining condition, that it is necessary to reduce the "rotational feed" in order to maintain these "tool specifications" can be obtained.

Further, as shown in FIG. 9, in order to realize "high quality" which is an input factor, it is necessary to secure "required estimated surface roughness" in "tool required performance". Then, in order to secure this "required estimated surface roughness", it is necessary to appropriately maintain the "bite R" of the "tool specifications" at the time of cutting.

Therefore, an inexperienced worker can understand that an output factor, that is, a machining condition, that it is necessary to reduce the "rotational feed" in order to maintain the "bite R" can be obtained. In addition, inexperienced workers can also understand that it is necessary to directly reduce the "rotational feed" as a processing condition in order to realize "high quality".

In this way, the work support system 100 presents a plurality of factors that are path processes between input factors and output factors and a route search that is a connection (relationship) between these multiple factors (so-called visualization). can do. As a result, the inexperienced worker can easily learn the factors to be examined and the connection (relationship) between the factors when setting the machining conditions for realizing the cutting process in the desired state.

The route process and route search presented to the inexperienced worker are based on the know-how input by the skilled worker. For this reason, inexperienced workers will pass on their know-how by learning the factors to be examined and the connections (relationships) between the factors.

Further, in the work support system 100, the control unit 111 provides the inexperienced worker with the machining state of the non-defective product W of the workpiece W cut according to the recommended machining conditions based on the sensory data 122 via the output section 114. be able to. Specifically, the control unit 111 causes the display 114a to reproduce a still image or a moving image showing the processing state of the workpiece W, as shown in FIG. 13, based on the video data of the sensory data 122 associated with the recommended processing conditions. .. When processing a good product, the chips are shortened as shown by the thick line in FIG. Further, the control unit 111 causes the vibrator 114b to reproduce the vibration or the processing sound representing the processing state of the cutting device 200, as shown in FIG. 14, based on the waveform data of the sensory data 122 associated with the recommended processing conditions.

As a result, an inexperienced worker can visually perceive a still image or moving image, and can perceive vibration by touch or auditory sense of processed sound. That is, the work support system 100 can teach an inexperienced worker a processing state when processing a non-defective product through the display 114a and the vibrator 114b of the output unit 114 with a sense.

The inexperienced worker judges the finish condition such as the shape and the surface texture of the workpiece W cut based on the recommended machining conditions, and judges the quality of the machining result which is the processing result with respect to the standard desired by himself / herself. An inexperienced worker inputs the quality of the processing result to the control unit 111 via the input unit 112 as the processing result information which is the processing result information. In this way, instead of the inexperienced worker inputting the quality of the machining result (processing result), that is, the machining result information (processing result information), the interface 115 of the personal computer 110 and the control device 250 of the cutting device 200 When a measuring device (not shown) is connected between the two, the measurement information is input from the measuring device via the interface 115, and the machining result information is automatically input to the control unit 111. It is also possible.

The control unit 111 determines whether or not the machining result input as described above is defective in step S14 of the work support tool program shown in FIG. That is, if the machining result is defective based on the machining result information input (determined) by the inexperienced worker, the control unit 111 determines "Yes" in step S14 and each step after step S15. Execute the process.

On the other hand, if the machining result is good based on the machining result information input (determined) by the inexperienced worker, the control unit 111 determines "No" in step S14 and proceeds to step S19. Then, in step S19, the control unit 111 updates the stored contents of the database 120 as described later.

If the machining result is defective due to the determination process in step S14, the control unit 111 executes the step process in step S15. Then, in step S15, the control unit 111 tells an inexperienced worker a problem (problem) or a cutting device to be improved in order to improve the machining result of the workpiece W that has been machined based on the recommended machining conditions. Encourage them to enter a question about the problem (issue) that occurred in 200.

Specifically, the control unit 111 causes, for example, the display 114a of the output unit 114 to display a screen display on which an inexperienced worker can input a question. Here, for example, when an inexperienced worker actually performs cutting based on the recommended machining conditions and finds that the cutting tool 240 has a large amount of wear, or when the cutting chips generate a large amount of vibration in the cutting. An example is given when it is found that there are many cases.

In these cases, the inexperienced worker changes "tool wear is large", "chips are large and vibration is large", or some or all of the recommended machining conditions are changed according to the screen display displayed on the display 114a. The processed processing conditions and the like are input using the input unit 112 as questions and the like by an inexperienced worker, that is, as input information. In this case, the inexperienced worker asks a question or the like, including the first information described in a predetermined format consisting of characters, numerical values and symbols, or video data or waveform data which is a perceptible sensation of the inexperienced worker. It can be entered as information.

When a question or the like by an inexperienced worker is input as input information in step S15, the control unit 111 is a predictive solution constituting an answer as output information to the question or the like by an inexperienced worker input in step S16. Generate a countermeasure plan. Specifically, the control unit 111 reads and executes the drive analysis function 130 and the solution analysis function 140 stored in the storage unit 113.

As a result, the drive analysis function 130 sets the search condition as a question or the like by an inexperienced worker, that is, a character string extracted from the written characters, numerical values and symbols, and outputs the question or the like to the collaborative solution analysis function 140. The solution analysis function 140 searches the inside of the database 120 based on the search conditions from the drive analysis function 130.

The drive analysis function 130 acquires a search path representing a plurality of factors in the search process and the relationship between the factors, and also acquires a countermeasure plan as a predictive solution as knowledge data 121, and the acquired search process, search path, and search path. The countermeasure plan is output to the solution analysis function 140. Then, when the search process, the search route, and the countermeasure plan are output to the solution analysis function 140, the control unit 111 proceeds to step S16.

In step S16, the control unit 111 receives output information for the knowledge data 121 acquired by the solution analysis function 140, that is, a question or the like (for example, "a large amount of tool wear" or "a large amount of vibration") by an inexperienced worker. As an answer, the search process and the search route are displayed on the display 114a of the output unit 114, and the degree of certainty, that is, the priority, which indicates the certainty of solving the question of the countermeasure plan is given to a plurality of countermeasure plans which are predicted solutions. Attach and display. Hereinafter, these matters will be specifically described.

As shown in FIG. 11, the control unit 111 causes the display 114a of the output unit 114 to display “working diagnosis (why-why analysis)” as an answer to a question or the like by an inexperienced worker. In this answer, the "problem" corresponding to the question etc. by the inexperienced worker and the "countermeasure order" which is the priority given so that the higher the conviction of the plurality of countermeasure proposals, the higher the priority, are displayed on the display 114a. Is displayed. In the answer, the answer consists of "factor A" and "factor B" (search process), which are multiple factors for solving the "problem", and a connection (search path) representing the relationship between these multiple factors. "Factor analysis" is displayed on the display 114a. In FIG. 11, the search process is shown by a thick broken line, and the search path is shown by a thick solid line.

In the case of the example of FIG. 11, for the "problem", for example, "the tool wear is large", the drive analysis function 130 searches the inside of the database 120 (see FIG. 1) and "factor A". The "cutting force" which is "cutting force" and the "cutting amount" which is "factor B" are specified as the first solution. Further, the drive analysis function 130 is connected (relevance) based on the "rank" or "range" attached to the "problem", "factor A" and "factor B", and the "rank" or "range". Is also specified as the first solution.

The solution analysis function 140 performs factor analysis on the "factor A" and "factor B" specified by the drive analysis function 130 based on the connection (relevance) input corresponding to these factors. As for the relevance, for example, a well-known method of scoring "rank" or "range" and performing factor analysis in consideration of the score may be adopted. Then, the solution analysis function 140 determines the "countermeasure order" as the second solution based on the conviction that represents the certainty (magnitude) of the connection (relevance) between each factor for the solution of the "problem".

In the case of the example of FIG. 11, in order to solve the "problem" "tool wear is large", the certainty of "cutting force" is high as "factor A", and the relationship with "factor A" is large. As "factor B" with a large value, the degree of certainty of "cutting amount" is the largest, and the degree of certainty decreases in the order of "feed amount" and "tool material". Therefore, as the "countermeasure order", the certainty of "cutting force"-"cutting amount" is the highest, so it is "ranked 1st", and "cutting force"-"feed amount" is "ranked 2nd", "rank". "Cutting force"-"Tool material" is "3rd place".

Then, as shown in FIG. 12, the control unit 111 gives a second solution, that is, an answer (countermeasure plan) as a predicted solution derived by the solution analysis function 140, to a plurality of countermeasure plans, specifically, the above-mentioned "countermeasures". The countermeasure plan according to the "rank" is displayed on the display 114a of the output unit 114. As a result, the control unit 111 teaches (recommends) a plurality of countermeasures as predictive solutions to inexperienced workers. Specifically, three countermeasures are proposed (recommended) in FIG. 12 as "improvement proposals (countermeasures)" as an answer to the display 114a.

Here, when there is a matching cause for the "problem", for example, "the tool wear is large", the control unit 111 teaches an inexperienced worker a countermeasure plan for the matching cause. On the other hand, when there is no matching cause for the "problem", the control unit 111 estimates the cause of another problem close to the "problem" and proposes a countermeasure plan for the estimated cause to an inexperienced worker. (Recommendation to. That is, the control unit 111 realizes a "recommendation unit that recommends a countermeasure plan for the probable cause".

As a countermeasure plan, reduction of the depth of cut (reduced by 〇〇%) is a processing condition corresponding to "cutting force"-"cutting amount" in which the above-mentioned "countermeasure ranking" is "ranked first". Proposed (recommended). Similarly, a reduction in feed amount (decrease by △△%) is proposed (recommended) as a machining condition corresponding to "cutting force"-"feed amount" in which "countermeasure rank" is "rank 2nd". .. Similarly, it is proposed (recommended) to change the material A of the bite 240 to the material B as a tool condition corresponding to the "cutting force"-"tool material" in which the "countermeasure rank" is "rank 3rd". ).

Here, the reduction of the cutting amount, the reduction of the feed amount, and the change of the tool material proposed as countermeasures are the background information of the search process and the search path output by the drive analysis function 130 searching the database 120, that is, The solution analysis function 140 generates the information stored in the storage unit 113 so as to correspond to the "factor A" and the "factor B" specified by the drive analysis function 130. Therefore, the plurality of countermeasures proposed to the inexperienced worker are each based on the knowledge (knowledge) and experience, that is, know-how (knowledge data 121) of the skilled worker. As shown in FIG. 12, when a countermeasure plan for a question or the like by an inexperienced worker is taught, general precautions are also displayed to the inexperienced worker to call attention to the inexperienced worker. It has become.

By the way, the control unit 111 outputs a countermeasure plan which is a predicted solution predicted as an answer to a question or the like by an inexperienced worker and is data described in a predetermined format including characters, numerical values and symbols. , That is, the sensory data 122 related to the knowledge data 121 can be reproduced and output by the output unit 114. This will be specifically described below.

The control unit 111 executes the drive analysis function 130 and the solution analysis function 140, and acquires the sensory data 122 corresponding to the countermeasure plan which is the predicted predicted solution as the answer which is the output information. In this case, for example, when the countermeasure plan which is the predicted solution and the recommended machining condition which is the actual solution corresponding to the feeling to be reproduced are the same, the control unit 111 is the case of the countermeasure plan, that is, the recommendation which is the actual solution. As shown in FIG. 13, the display is displayed on the display 114a of the output unit 114 based on the video data corresponding to the normal processing state according to the processing conditions.

On the other hand, when the countermeasure plan which is the predicted solution and the recommended machining condition which is the actual solution are different, the control unit 111 determines the difference between the countermeasure plan and the recommended machining condition (for example, the difference in "cutting speed" and "cutting amount"). Refer to the table of FIG. 6 or the map of FIG. 7 using. Then, the control unit 111 is closest to the recommended machining condition which is the actual solution among the “large”, “medium”, and “small” of the countermeasure plan which is the predicted solution based on the degree of the difference, in other words, the actual The countermeasure plan with the highest similarity to the solution (either "large", "medium", or "small" of the countermeasure plan) is derived as a similar solution. Then, the control unit 111 selects video data according to the similar solution. That is, the control unit 111 executes the drive analysis function 130 and compares the similarity (degree of difference) between the predicted solution and the actual solution, whereby the countermeasure plan having the highest similarity (the degree of difference is the smallest). (Countermeasure plan) is derived as a similar solution, and video data corresponding to the similar solution is selected. Then, the control unit 111 causes the display 114a of the output unit 114 to display the data based on the selected video data, as shown in FIG.

Here, the control unit 111 refers to the table of FIG. 6 or the map of FIG. 7, and selects video data according to an abnormal processing state in a case other than the countermeasure plan. Then, based on the selected video data, the control unit 111 also displays an abnormal machining state that is predicted to occur when cutting is not performed according to the countermeasure plan on the display 114a as shown in FIG. Can be made to.

Further, when the countermeasure plan which is the predicted solution and the recommended machining condition which is the actual solution are the same, the control unit 111 corresponds to the case of the countermeasure plan, that is, the normal machining state according to the recommended machining condition which is the actual solution. Based on the waveform data, as shown in FIG. 14, the vibrator 114b of the output unit 114 is vibrated or a processing sound is generated. Further, when the countermeasure plan which is the predicted solution and the recommended machining condition which is the actual solution are different, the control unit 111 determines the difference between the countermeasure plan and the recommended machining condition (for example, the difference in "cutting speed" and "cutting amount"). Refer to the table of FIG. 6 or the map of FIG. 7 using. Then, the control unit 111 selects waveform data according to the degree of difference, that is, “large”, “medium”, and “small”. That is, the control unit 111 executes the drive analysis function 130, compares the similarity (degree of difference) between the predicted solution and the actual solution, and derives the waveform data having the highest similarity as the similar solution. Then, the control unit 111 vibrates the vibrator 114b of the output unit 114 or generates a processing sound based on the selected waveform data, as shown in FIG.

Here, the control unit 111 refers to the table of FIG. 6 or the map of FIG. 7, and selects waveform data according to an abnormal processing state in a case other than the countermeasure plan. Then, based on the selected waveform data, the control unit 111 can also generate abnormal vibrations and processing sounds that are predicted to occur when cutting is not performed according to the countermeasure plan from the vibrator 114b.

That is, the control unit 111 can teach an inexperienced worker a countermeasure plan and provide a perceptible sensation in relation to the countermeasure plan. In this case, even if the sensory data 122 that matches the countermeasure plan is not stored in the database 120 in advance, the control unit 111 reproduces the sensory data 122 that is the most similar (closest) similar solution to the countermeasure plan. Can be provided to inexperienced workers. As a result, the inexperienced worker can acquire know-how including a countermeasure plan while perceiving the sense, and for example, when the work support system 100 is used in the educational field, the educational effect can be enhanced.

When a plurality of countermeasure plans are taught while perceiving a sense in step S17, the inexperienced worker changes the recommended machining conditions in order from, for example, "rank 1st" according to the countermeasure plans, and the changed recommended machining conditions. Is input to the processing condition input unit 254 of the control device 250. Then, the inexperienced worker cuts the workpiece W according to the recommended machining conditions changed according to the countermeasure plan, determines the finish condition such as the shape and surface properties of the workpiece W, and determines the wear state of the bite 240.

An inexperienced worker inputs the quality of the machining result including the wear state of the bite 240 to the control unit 111 by using the input unit 112. Even in this case, when a measuring device (not shown) is connected between the interface 115 and the control device 250 of the cutting device 200, the machining result information is automatically input from the measuring device. It is also possible to do.

In step S18 of the work support tool program, the control unit 111 determines whether or not the machining result input by the inexperienced worker is good. That is, if the machining result according to at least one or all of the above-mentioned plurality of countermeasures is good, the control unit 111 determines "Yes" in step S18 and proceeds to step S19. When an inexperienced worker inputs that the processing result is good, among the plurality of taught countermeasures, the countermeasures that contributed to the solution of the "problem" or the order of contribution of the countermeasures (hereinafter, "contribution"). Also enter (referred to as "information") (for example, the number of the "countermeasure plan" shown in FIG. 12).

On the other hand, if the machining result according to all of the plurality of countermeasures described above is defective, the control unit 111 determines "No" in step S18 and returns to the step S15, and each step process after the step S15. To execute. That is, the inexperienced worker inputs a question or the like by the inexperienced worker as input information again with the first information or the second information, and receives the teaching of the countermeasure plan and the sense. Then, the control unit 111 repeats the determination process in step S18 until the machining result according to the taught countermeasure plan is determined to be good by an inexperienced worker.

In step S19, the control unit 111 updates the stored contents of the database 120 based on the machining conditions that reflect the good machining results. Specifically, when the control unit 111 determines that the machining result is good by the determination process in step S14, it is assumed that the recommended machining condition first taught is a good product condition for cutting a good product. Then, the control unit 111 updates the database 120 in cooperation with the database update unit 116.

In this case, specifically, the control unit 111 sets, for example, the recommended machining condition (actual solution) this time so that the recommended machining condition of this time, which is the actual solution, can be preferentially taught in the next and subsequent searches. Therefore, the "rank" and "range" are changed and stored so that the certainty of the factor (search process) searched by the drive analysis function 130 is increased. In addition, the control unit 111 cooperates with the database update unit 116 to update the association between the recommended processing condition (actual solution) and the sensory data 122 so as to correspond to the updated recommended processing condition (actual solution). ..

Further, when the control unit 111 determines that the processing result is good by the determination process in step S18, the control unit 111 cooperates with the database update unit 116 to give priority to the countermeasure plan that contributes to the solution of the "problem". The database 120 is updated so that it can be taught to. In this case, the control unit 111 updates the database 120 by changing the "priority" of the countermeasure plan according to the contribution information, for example. Alternatively, the control unit 111 is changed so that, for example, the "certainty" of the factor (search process) searched by the drive analysis function 130 for setting the countermeasure plan is increased. As a result, the machining conditions when the immature worker actually machined are fed back to the knowledge data 121 of the database 120, that is, the know-how input by the skilled worker, and the accuracy of the recommended machining conditions and the questions by the immature worker were answered. The accuracy of teaching countermeasures can be improved.

In addition, the control unit 111 collaborates with the database update unit 116 to provide recommended processing conditions (actual solution) and sensory data 122 so as to correspond to the countermeasure proposal in which the "priority" and "confidence" are updated. Update the association of. In this case, the inexperienced worker inputs, for example, video data such as images and moving images taken in machining (cutting) carried out according to the countermeasure plan, or waveform data representing vibration using the input unit 112. be able to. As a result, the control unit 111 links the input video data and waveform data, that is, the sensory data 122, with the countermeasure plan in which the "priority" and "confidence" are updated, and stores them in the predetermined storage position of the database 120. To do. Therefore, when another inexperienced worker executes the work support tool program and teaches the countermeasure plan, the control unit 111 can reproduce and provide a more appropriate countermeasure plan and feeling.

When the control unit 111 updates the database 120 in step S19, the control unit 111 proceeds to step S20. In step S20, the control unit 111 ends the execution of the work support tool program. Then, after the lapse of a predetermined period, the control unit 111 starts executing the work support tool program again in step S10.

As can be understood from the above description, the work support system 100 of the above-described embodiment searches for knowledge data 121 representing work know-how and sensory data 122 representing a sense perceptible by an operator in relation to the knowledge data 121. A drive analysis function that is an analysis function that sets search conditions based on input information and searches for knowledge data and sensory data stored in the database 120, and derives a solution to the input information. A control unit 111 that executes the 130 and the solution analysis function 140, and an output unit 114 that outputs the solution obtained by executing the drive analysis function 130 and the solution analysis function 140 by the control unit 111 as output information. At least of the first information described in a predetermined format including numerical values and symbols, and the state and feeling of the cutting device 200 which is described in a predetermined format including characters, numerical values and symbols and is used for work. One of the second information representing the sensation is the input information, and the other of the first information and the second information is the output information.

That is, in the work support system 100, when the input information is the first information and the output information is the second information expressing the feeling, the control unit 111 executes the drive analysis function 130 and the solution analysis function 140. , The solution to the first information can be derived as the second information.

According to these, the work support system 100 can input the first information in a predetermined format using characters, numerical values and symbols as input information. As a result, the operator does not need to prepare, for example, an image of the operating state of the cutting device 200 and various data representing the sound, vibration, etc. of the device by inputting the first information, which enhances convenience. be able to.

On the other hand, the work support system 100 can output the second information expressing the sense as the output information. As a result, by outputting the second information as output information, even an inexperienced worker can perceive at least a sense related to know-how, and for example, a predetermined value using only letters, numerical values and symbols. Know-how can be easily understood compared to when information in the form is provided. Further, by outputting the second information, a normal worker can easily understand, for example, an improvement point of the work by comparing the experience and know-how so far.

Further, in the work support system 100, the database 120 stores the know-how regarding the machining method as the production method and the machining equipment as the production equipment as knowledge data 121 in a searchable and updateable manner, and is a production target. An input unit 112 and an interface 115 as an acquisition unit for acquiring processing result information (processing result information) representing a processing result (processing result) of a processing (cutting process) applied to a certain workpiece W, and an input unit 112. And the first information, which is one of the first information and the second information, such as a question by an inexperienced worker, which is a question about the machining method and the machining equipment, according to the machining result information acquired by the interface 115. The control unit 111 includes an input unit 112 as a question input unit for inputting data as input information, and the control unit 111 executes the drive analysis function 130 and the solution analysis function 140, and at least by an inexperienced worker input to the input unit 112. A search condition based on a question or the like is set to search the database 120, and a solution corresponding to the search condition is derived as an answer to the question. The output unit 114 provides a plurality of countermeasures related to the solution of the question and a plurality of countermeasures. The degree of certainty that indicates the certainty of solving the question of each countermeasure plan, and the plurality of visually displayed drive analysis function 130 and solution analysis function 140 for searching the database 120 and guiding the countermeasure plan as a solution. The second information is output as output information so as to include the search process consisting of the above factors and the background information representing the search path representing the relationship between a plurality of factors in the search process.

Here, the cutting device 200, which is a production facility, is held by a tool holding device 230 that holds a cutting tool 240 as a tool having a cutting edge, a workpiece holding device 210 that holds a workpiece W, and a workpiece holding device 210. A work feed device 220 that sends the work piece W in the X-axis direction, which is a predetermined direction, a Z-axis drive device 232 that is a tool displacement device that moves the bite 240 relative to the work piece W, and a Z-axis drive. It includes a control device 250 that controls the operation of the device 232.

Further, in these cases, the analysis function executed by the control unit 111 searches the database 120 based on the input search conditions, and guides the search process and the search route, that is, the route information as the first solution according to the search conditions. The drive analysis function 130, which is the first analysis function, and at least the search conditions are set based on the questions (questions by inexperienced workers, etc.) and the machining result information, and at least the recommended machining conditions are set in cooperation with the drive analysis function 130. Alternatively, it is composed of a solution analysis function 140 as a second analysis function that derives an answer including route information and a countermeasure plan which is a predicted solution as a second solution.

According to these, in the work support system 100, the control unit 111 asks questions about the machining method (cutting method) and the machining equipment (cutting device 200) via the input unit 112 (questions by inexperienced workers, etc.). Is input, it is possible to search the database 120 that stores various information representing know-how in a searchable and updatable manner by setting search conditions based on the input question (question by an inexperienced worker, etc.). Then, the control unit 111 includes a plurality of countermeasure proposals related to the solution of the question (question by an inexperienced worker, etc.), the certainty (priority) of each countermeasure proposal, the search process (plural factors), and the search route. It is possible to output (teach) the background information representing (relationship between factors), the sensation, and the second information to be represented as output information to the output unit 114.

As a result, for example, even an inexperienced worker who lacks knowledge (knowledge) and experience in machining (cutting) can relate to the machining method (cutting method) and production equipment (cutting device 200) according to the presented answer. Questions (questions by inexperienced workers, etc.) can be visually confirmed and solved while perceiving the senses, and the opportunity to rely on skilled workers can be reduced. Therefore, the skilled worker can reduce the chance of interrupting his / her work, and as a result, can suppress the decrease in the productivity of the skilled worker.

Further, the knowledge data 121 of the database 120 is stored as know-how (knowledge) of machining (cutting) and know-how obtained by a skilled worker with abundant experience. Therefore, even if a skilled worker retires, valuable know-how can be permanently stored and used, and as a result, valuable know-how can be inherited continuously. In addition, the answers presented to inexperienced workers include background information. As a result, the inexperienced worker can learn the factors for obtaining the presented countermeasure plan and the relationship between the factors, that is, the way of thinking in the factor analysis.

Further, in these cases, the work support system 100 can include a database update unit 116 as an update unit that updates the sensory data 122 stored in the database 120 based on the second information.

According to this, the knowledge data 121 and the sensory data 122 stored in the database 120 can be constantly updated and stored. As a result, the control unit 111 can always present (teach) an appropriate answer (including a countermeasure plan with a high degree of certainty) with high accuracy to a question or the like by an inexperienced worker.

The practice of the present invention is not limited to the above embodiment, and various modifications can be made without departing from the object of the present invention.

For example, in the above embodiment, the display 114a of the output unit 114 is a desk-mounted monitor device. Instead of this, it is also possible to adopt as the display 114a a head-up display that is attached to the head of an inexperienced worker and displays an image or the like in front of the eyes of the inexperienced worker. Then, in this case, the display 114a may output the output information by at least one of the virtual reality and the augmented reality. By outputting the output information by at least one of the virtual reality and the augmented reality, the inexperienced worker can freely confirm, for example, the part, the state, or the sensation that he / she wants to confirm in the cutting device 200.

Further, in the above embodiment, the video data and the waveform data obtained by photographing the state in which the cutting device 200 is actually operated to process the workpiece W are stored in the database 120 as sensory data 122 so as to be updatable. I made it. In this case, for example, as shown in FIGS. 6 and 7, the sensation provided to the inexperienced worker may be provided by selecting the sensation data 122 which is a similar solution with high similarity.

Instead of this, the control unit 111 extracts various parameters related to the operation of the cutting device 200 included in, for example, a question input as input information, and uses these parameters to simulate the operating state of the cutting device 200 by calculation. It is also possible to configure it to do so. In this case, the control unit 111 causes the output unit 114 to output the second information (output information) including the simulation resulting from the calculation as a sensation. Thereby, the display 114a can display the simulated still image or moving image or characters, numerical values and symbols, and the vibrator 114b can output the simulated vibration and sound, that is, can provide a feeling closer to the actual solution. ..

Further, in the above embodiment, the first information such as a question described in a predetermined format including characters, numerical values and symbols is input as input information, and the output information is in a predetermined format including characters, numerical values and symbols. Second information, which is a sensation based on the described processing conditions and sensation data 122, is output. Instead of this, input the second information representing the processing conditions or / and the feeling described in the predetermined format including characters, numerical values and symbols as the input information, and input the secondary information including the characters, numerical values and symbols as the output information. The first information such as the question described in may be output.

In this way, when the immature worker inputs the second information as the input information, the immature worker may, for example, take a picture of the operating state of the cutting device 200 used for the work, the operating sound of the cutting device 200, or the operation sound of the cutting device 200. Prepare the waveform data obtained by acquiring the vibration generated by the operation. Then, the inexperienced worker inputs video data or waveform data, that is, sensation as input information via the interface 115 of the work support system 100.

Then, in this case, when the video data is input as the second information, the video data stored as the sensory data 122 in the database 120 is used as a reference for the determination of the matching or similarity of the senses, for example, an image. It is done using a recognition method. When the waveform data is input as the second information, it is performed based on the waveform data stored as the sensory data 122 in the database 120 as a reference, for example, based on the difference in frequency and amplitude.

According to this, for example, when an inexperienced worker or a field worker actually cuts a workpiece W using the cutting device 200, an image or vibration when an abnormality (defect) occurs is converted into electronic data. (Ii) By inputting as information, it is possible to output the processing conditions described in a predetermined format including characters, numerical values and symbols as the answer as the first information. As a result, by inputting, for example, a second information representing a sense such as an image, sound, or vibration of the operating state of the cutting device 200 as input information, even an inexperienced worker can obtain appropriate second information. Can be easily entered, and convenience can be enhanced. Therefore, inexperienced workers and field workers can easily analyze the cause of the abnormality (defect).

Further, in the above embodiment, the work support system 100 has been described by exemplifying a machining field in which a worker (immature worker) performs machining as a work using a cutting device 200 which is a production facility. Instead of this, the work support system 100 can be applied to other fields, for example, a design field for designing a production object, a field for constructing a production facility, and the like. Even in the work support system 100 applied to a field other than the machining field, for example, know-how can be taught to an inexperienced worker with a sense.

When the work support system 100 is applied to the design field, for example, design dimensions and shapes for ensuring strength in the production object are stored as knowledge data 121, and for example, the design shape is realized as sensory data 122. An image of the processing process and the like are stored in the database 120. Further, when the work support system 100 is applied to the field of constructing the production equipment, for example, the arrangement dimension of the production equipment, the line tact (time) accompanying the arrangement change, etc. are stored as the knowledge data 121, and the sensory data 122 is used. For example, an image in which a production facility is arranged, a video of a work flow by an operator, and the like are stored in the database 120.

Further, in the above embodiment, it is exemplified that the cutting device 200, which is a machining facility as a production facility, cuts a workpiece W as a production target. Needless to say, it is possible to change to other machining equipment such as a grinding machine instead of this. Further, as the production equipment, equipment other than the machining equipment, for example, an injection molding equipment or a die-cast molding equipment for injecting a molten material into a mold to produce a production object can be used.

Further, in the above embodiment, the database 120 is configured to require input work by an inexperienced worker and a skilled worker when constructing the database 120. However, for example, as shown by a broken line in FIG. 1, a machine learning unit 123 to which a well-known machine learning technique is applied (specifically, a machine learning program is executed) is provided, and a cutting device 200 is provided as knowledge data 121. Processing conditions related to the configuration and operation of the above, information including the above-mentioned search process and search path, information on adjustment operation before cutting, and video data, waveform data, etc. as sensory data 122 are analyzed according to a well-known method and stored in a database. It is also possible to build 120.

As a result, the machine learning unit 123 trains, for example, machining conditions (including recommended machining conditions) when machining the workpiece W, machining states of the workpiece W, operating states of the cutting device 200, and machining result information. The amount of information of the knowledge data 121 and the sensory data 122 systematically and stored in the database 120 can be increased by learning as. As a result, the accuracy of recommended processing conditions and countermeasures to be taught to inexperienced workers can be improved.

Further, in the above embodiment, the control unit 111 executes the drive analysis function 130 and the solution analysis function 140 to generate recommended machining conditions based on the knowledge data 121 stored in the database 120. .. Instead of or in addition to this, for example, machining conditions and other setting information disclosed by a tool maker or the like are stored in advance in the storage unit 113, and the control unit 111 is stored in the storage unit 113. It is also possible to teach inexperienced workers the recommended machining conditions based on the machining conditions (various setting information).

100 ... Work support system, 110 ... Personal computer, 111 ... Control unit, 112 ... Input unit (question input unit), 113 ... Storage unit, 114 ... Output unit, 114a ... Display, 114b ... Vibrator, 115 ... Interface ( Acquisition unit), 116 ... Database update unit (update unit), 120 ... Database, 121 ... Knowledge data, 122 ... Sensory data, 123 ... Machine learning unit, 130 ... Drive analysis function (first analysis function (analysis function)), 140 ... Solution analysis function (second analysis function (analysis function)), 200 ... Cutting equipment (production equipment), 201 ... Bed, 210 ... Work piece holding device, 211 ... Headstock, 212 ... Trajectory, 213 ... Spindle Base body, 214 ... Rotating spindle, 215 ... Rotating spindle motor, 216 ... Mandrel body, 217 ... Mandrel center, 220 ... Work feed device, 221 ... Feeding table, 222 ... X-axis drive device, 223 ... X-axis Guide rail, 230 ... Tool holding device, 231 ... Column, 232 ... Z-axis drive device (workpiece displacement device), 233 ... Saddle, 234 ... Holder, 235 ... Z-axis guide rail, 240 ... Bit (tool), 250 ... Control device, 251 ... Work piece rotation control unit, 252 ... Feed control unit, 253 ... Displacement control unit, 254 ... Machining condition input unit, Aw ... Rotation axis

Claims (14)

A database that can searchably and updately store knowledge data representing work know-how and sensory data representing a sense perceptible by an operator in relation to the knowledge data.
A control unit that sets search conditions based on input information, searches for the knowledge data and the sensory data stored in the database, and executes an analysis function for deriving a solution to the input information.
It is provided with an output unit that outputs the solution acquired by executing the analysis function by the control unit as output information.
First information described in a predetermined format including letters, numerical values and symbols, and at least the state and feeling of the device described in a predetermined format including letters, numerical values and symbols and used for the work. One of the second information representing the sensation is the input information,
A work support system in which the other of the first information and the second information is the output information. The input information is the first information, the output information is the second information representing the feeling, and the like.
The work support system according to claim 1, wherein the control unit executes the analysis function and derives the solution to the first information as the second information. The input information is the second information representing the feeling, and the output information is the first information.
The work support system according to claim 1, wherein the control unit executes the analysis function and derives the solution to the second information as the first information. The work support system according to any one of claims 1 to 3, wherein the control unit executes the analysis function and derives a predicted solution for the input information. The control unit executes the analysis function and compares the similarity between the actual solution corresponding to the sensation to be reproduced and the predicted solution to resemble the predicted solution having the highest similarity to the actual solution. Guided as a solution
The work support system according to claim 4, wherein the output unit outputs the sensory data representing the sensory corresponding to the similar solution as the output information. The work support system according to claim 5, wherein the control unit derives the predicted solution having the smallest degree of difference as the similar solution by comparing the degree of difference between the actual solution and the predicted solution. Claim 5 or claim 6 that the output unit outputs the sensory data and data related to the sensory data and described in a predetermined format including characters, numerical values, and symbols as the output information. Work support system described in. The work support system according to any one of claims 1 to 7, wherein the output unit outputs the output information in at least one of virtual reality and augmented reality. Any one of claims 1 to 8, wherein the output unit uses waveform data representing vibration or sound, which is the sensory data, as the output information, and outputs the vibration or the sound based on the output information. The work support system described in item 1. The work support according to any one of claims 1 to 9, wherein the control unit includes an update unit that updates the sensory data stored in the database based on the second information. system. The database stores the know-how about the production method and the production equipment having the apparatus as the knowledge data in a searchable and updateable manner.
An acquisition unit that acquires processing result information that represents the processing result of the processing applied to the production object,
A question input unit that inputs one of the first information and the second information as the input information, which is a question about the production method and the production equipment, according to the processing result information acquired by the acquisition unit. And with
The claim that the control unit executes the analysis function, sets at least search conditions based on the question input to the question input unit, searches the database, and derives the solution as an answer to the question. The work support system according to any one of 1 to 10. The output unit
A plurality of countermeasures related to the solution of the question, and the certainty of each of the countermeasures indicating the certainty of the solution of the question, and the visually displayed analysis function searches the database. The first information includes a search process composed of a plurality of factors for deriving the countermeasure plan as the solution, and background information representing a search path representing the relationship between the plurality of factors in the search process. The work support system according to claim 11, wherein the other of the second information is output as the output information. The analysis function executed by the control unit is
A first analysis function that searches the database based on the input search conditions and derives a first solution according to the search conditions.
A claim composed of at least a second analysis function that sets the search condition based on the question and the processing result information and derives the answer as a second solution in cooperation with the first analysis function. The work support system according to claim 11 or 12. The production equipment
A tool holding device that holds a tool with a cutting edge,
A work holding device that holds the work that is the production object,
A work feed device that feeds the work held by the work holding device in a predetermined direction,
A tool displacement device that moves the tool relative to the workpiece,
The work support system according to any one of claims 11 to 13, which is a cutting device including a control device for controlling the operation of the tool displacement device.

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