JP2021174091A - Machining system, information processing device, information processing method and information processing program - Google Patents

Abstract

To provide techniques for evaluating the skill level of a worker in a machine tool.SOLUTION: A machining system comprises: an individual identification unit for identifying a worker working with a machine tool; a work information acquisition unit for acquiring work content information indicating a work content performed by the worker identified by the individual identification unit with the machine tool; an accumulation unit for accumulating the worker's individual identification information identified by the individual identification unit, and the work content information acquired by the work information acquisition unit in a database in association with each other; a calculation unit for acquiring the work content information associated with the individual identification information on an evaluation object person from the database, and calculating an evaluation score indicating the skill level of the work of the evaluation object person, based on the work content information; and an output unit for outputting the evaluation score calculated by the calculation unit.SELECTED DRAWING: Figure 1

Description

The present disclosure relates to techniques for assessing worker proficiency in machine tools.

Japanese Unexamined Patent Publication No. 2014-182667 (Patent Document 1) discloses a machine tool for the purpose of "reflecting the experience of a skilled manual machining expert in an NC program to optimally perform automatic machining".

Japanese Unexamined Patent Publication No. 2014-182667

The machine tool disclosed in Patent Document 1 only reflects the experience of a manual machining expert in the NC program, and does not evaluate the skill level of the operator. If the skill level of the worker is objectively specified, the manager can review the arrangement of the worker and make an efficient work plan. In addition, each worker can objectively evaluate his / her own work ability and his / her weaknesses, and can improve the work efficiency. Therefore, a technique for evaluating the skill level of a worker in a machine tool is desired.

In one example of the present disclosure, the machining system shows a personal identification unit for identifying a worker working on the machine tool, and a work content performed by the worker identified by the personal identification unit on the machine machine. The work information acquisition unit for acquiring work content information, the personal identification information of the worker identified by the personal identification unit, and the work content information acquired by the work information acquisition unit are associated and stored in the database. An evaluation that indicates the skill level of the work of the evaluation target person based on the work content information obtained from the above database and the storage unit for performing the work and the work content information associated with the personal identification information of the evaluation target person. It includes a calculation unit for calculating a score and an output unit for outputting the evaluation score calculated by the calculation unit.

In one example of the present disclosure, the output unit further outputs a reference score that serves as a reference for the skill level of the worker.

In one example of the present disclosure, the calculation unit further calculates the reference score based on the work content information included in the database.

In one example of the present disclosure, the machining system further comprises a machining condition acquisition unit for acquiring machining conditions of the machine tool when a worker identified by the personal identification unit is working on the machine tool. To be equipped. The storage unit further corresponds to the processing conditions acquired by the processing condition acquisition unit with the personal identification information of the worker identified by the personal identification unit and the work content information acquired by the work information acquisition unit. Attach and store in the above database. The calculation unit identifies processing conditions similar to the processing conditions associated with the personal identification information of the evaluation target person from the processing conditions included in the database, and corresponds to the specified processing conditions. The above standard score is calculated based on the attached work content information.

In one example of the present disclosure, the machine tool further comprises a cover having an opening to partition the machining area of the work and a door to cover the opening. The work content information includes at least one of open information indicating that the door has been opened and closing information indicating that the door has been closed.

In one example of the present disclosure, the machine tool further comprises a display. The work content information includes screen switching information indicating that the screen of the display unit has been switched.

In another example of the present disclosure, the information processing device capable of communicating with the machine is the personal identification information of the worker working on the machine and the contents of the work performed by the worker on the machine. The work content information indicating the above is received from the machine tool, and the storage unit for storing the received personal identification information and the work content information in the database is associated with the personal identification information of the evaluation target person. A calculation unit that acquires work content information from the above database and calculates an evaluation score indicating the skill level of the work of the evaluation target person based on the work content information, and an evaluation score calculated by the above calculation unit. It is provided with an output unit for outputting.

In another example of the present disclosure, the information processing method uses the personal identification information of a worker working on the machine tool and the work content information indicating the work content performed by the worker on the machine machine. The step of associating the received personal identification information with the work content information and accumulating it in the database, and the work content information associated with the personal identification information of the evaluation target person are acquired from the above database. Based on the work content information, a step of calculating an evaluation score indicating the skill level of the work of the evaluation target person and a step of outputting the evaluation score calculated in the above calculation step are provided.

In another example of the present disclosure, the information processing program provides the information processing apparatus with personal identification information of a worker working on the machine tool and work content information indicating the work content performed by the worker on the machine machine. The step of receiving The step of calculating the evaluation score indicating the skill level of the work of the evaluation target person and the step of outputting the evaluation score calculated in the above calculation step are executed based on the work content information acquired from the database. ..

The above and other objectives, features, aspects and advantages of the present invention will become apparent from the following detailed description of the present invention as understood in connection with the accompanying drawings.

It is a figure which shows an example of the apparatus configuration of a processing system. It is a figure which shows an example of the functional structure of a processing system. It is a figure which shows the state of work by a worker. It is a figure which shows the state of work of a worker. It is a figure which shows an example of the screen displayed on the operation panel of a machine tool. It is a figure which shows an example of the data structure of the evaluation database. It is a figure which shows the output screen which is displayed on the display of an information processing apparatus. It is a figure which shows the output screen which follows the modification 1. It is a figure which shows the output screen which follows the modification 2. It is a schematic diagram which shows an example of the hardware composition of a machine tool. It is a schematic diagram which shows an example of the hardware configuration of an information processing apparatus. It is a flowchart which shows the flow of transmission processing of evaluation information. It is a flowchart which shows the flow of the accumulation process of evaluation information. It is a flowchart which shows the flow of the output processing of the evaluation score.

Hereinafter, embodiments according to the present invention will be described with reference to the drawings. In the following description, the same parts and components are designated by the same reference numerals. Their names and functions are the same. Therefore, the detailed description of these will not be repeated. In addition, each embodiment and each modification described below may be selectively combined as appropriate.

<A. Equipment configuration of processing system 10>
The machining system 10 according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an example of an apparatus configuration of the processing system 10.

The processing system 10 includes one or more machine tools and one or more information processing systems. In the example of FIG. 1, the processing system 10 is composed of a machine tool 100A, a machine tool 100B, and an information processing device 200.

The machine tool 100A and the machine tool 100B may be the same type of machine tool or different types of machine tools. Hereinafter, when the machine tools 100A and 100B are not particularly distinguished, any one of the machine tools 100A and 100B is also referred to as a machine tool 100.

The machine tool 100 is a work processing machine. As an example, the machine tool 100 is a machine tool that performs work removal processing (SM (Subtractive manufacturing) processing). Alternatively, the machine tool 100 may be a machine tool that performs additional machining (AM (Additive manufacturing) machining) of the work. Further, the machine tool 100 may be a vertical machining center, a horizontal machining center, or a turning center. Alternatively, the machine tool 100 may be a lathe, or another cutting machine or grinding machine. Further, the machine tool may be a compound machine in which these are combined.

The machine tool 100 includes an operation panel 130. The operation panel 130 includes a display 106 for displaying various information related to machining, and an operation key 107 for receiving various operations on the machine tool 100.

The information processing device 200 is, for example, an information processing device such as a computer having a server function. As an example, the information processing device 200 may be a desktop computer, a notebook computer, or a tablet terminal. A display 206 may be connected to the information processing apparatus 200.

The machine tool 100 and the information processing device 200 are configured to be able to communicate with each other. The machine tool 100 and the information processing device 200 may be connected wirelessly or by wire. As an example, Ethernet (registered trademark) is adopted as the communication standard of the machine tool 100 and the information processing apparatus 200.

<B. Overview of worker evaluation function>
The processing system 10 has a function of evaluating the skill level of each worker based on the worker information collected from the machine tool 100. In the following, the evaluation function of the worker by the processing system 10 will be described with reference to FIG.

In step S1, the machine tool 100 monitors the work content by the worker and collects information for identifying the work content (hereinafter, also referred to as “work content information”). Although the details will be described later, the work contents to be collected include, for example, the opening / closing operation of the door in the machine tool 100 and the switching operation of the screen of the operation panel 130.

In step S2, the machine tool 100 associates the collected work content information with the personal identification information of the worker and transmits it to the information processing device 200 as evaluation information. The evaluation information is transmitted at an arbitrary timing. As an example, the evaluation information may be transmitted periodically or may be transmitted based on the operator performing some operation. The information processing device 200 stores the evaluation information received from the machine tool 100 in the evaluation database 222 in the information processing device 200. Typically, the evaluation database 222 is managed in the storage device 220 of the information processing device 200.

In step S3, it is assumed that the information processing apparatus 200 has received the designation of the evaluation target person and the execution operation of the evaluation process. Based on this, the information processing apparatus 200 acquires the work content information associated with the personal identification information of the evaluation target person from the evaluation database 222, and based on the work content information, the evaluation target person Calculate an evaluation score that indicates the skill level of the work. The details of the evaluation score calculation method will be described later.

In step S4, the information processing apparatus 200 displays the calculated evaluation score on the display 206 as an evaluation result. As a result, the manager can easily grasp the skill level of the worker, review the arrangement of the worker in the processing process, and make an efficient work plan. In addition, each worker can objectively grasp his / her own work ability and his / her weakness by confirming the evaluation score, and can improve the work efficiency.

<C. Functional configuration>
With reference to FIGS. 2 to 7, a functional configuration for realizing the evaluation function of the operator will be described. FIG. 2 is a diagram showing an example of the functional configuration of the processing system 10.

The processing system 10 includes a machine tool 100 and an information processing device 200. The machine tool 100 includes a personal identification unit 152, a work content acquisition unit 154, and a processing condition acquisition unit 156 as functional configurations. The information processing device 200 includes a storage unit 252, a calculation unit 254, and an output unit 256 as a functional configuration. Hereinafter, these configurations will be described in order.

The arrangement of each functional configuration is not limited to the example of FIG. As an example, a part or all of the functional configuration of the machine tool 100 may be mounted on the information processing device 200, mounted on an external device such as a server, or mounted on dedicated hardware. good. Further, a part or all of the functional configuration of the information processing device 200 may be mounted on the machine tool 100, mounted on an external device such as a server, or mounted on dedicated hardware. ..

(C1. Personal identification unit 152)
First, the function of the personal identification unit 152 will be described with reference to FIG. FIG. 3 is a diagram showing a state of work by an operator.

The personal identification unit 152 identifies the worker using, for example, an image. More specifically, the machine tool 100 is provided with a camera 110. The camera 110 is installed so as to photograph the work area of the machine tool 100, and photographs the worker U who is working on the machine tool 100. Only one camera 110 may be installed, or a plurality of cameras 110 may be installed. The camera 110 periodically sends an image obtained by photographing the work area to the personal identification unit 152.

The personal identification unit 152 identifies the worker from the image obtained from the camera 110. An arbitrary image processing program is adopted as the image processing algorithm for identifying the worker.

As an example, the personal identification unit 152 identifies the worker shown in the image using the trained model. The trained model is generated in advance by a training process using a training data set. The training data set contains a plurality of training images showing the worker. Personal identification information for uniquely identifying the worker is associated with each learning image as a label. The personal identification information is, for example, a worker ID (Identification) or a worker name. The internal parameters of the trained model are pre-optimized by the training process using such a training data set. As a result, when the trained model receives the input of the image, the trained model outputs the degree of similarity between the person shown in the image and each worker registered as a label.

Various machine learning algorithms can be adopted as the learning method for generating the trained model. As an example, as the machine learning algorithm, deep learning, convolutional neural network (CNN), full-layer convolutional neural network (FCN), support vector machine and the like are adopted.

The personal identification unit 152 inputs the image obtained from the camera 110 into the trained model. When the trained model accepts the input of the image, the trained model outputs the degree of similarity between the person shown in the image and each worker registered as a label. After that, the personal identification unit 152 identifies the maximum value from each similarity, and if the maximum value exceeds a predetermined threshold value, outputs the personal identification information corresponding to the maximum value.

The method of identifying the worker by the personal identification unit 152 is not limited to the identification method using an image, and various methods are adopted. As another example, the personal identification unit 152 may identify the worker using fingerprint authentication, iris authentication, vein authentication, voiceprint authentication, and other biometric authentication.

As yet another example, the personal identification unit 152 may identify the worker by using the login information to the operation panel 130. More specifically, the user performs a login operation by inserting a hardware key for storing his / her personal identification information into the operation panel 130 of the machine tool 100. The personal identification unit 152 reads the user's personal identification information from the inserted hardware key, and identifies the logged-in worker based on the personal identification information.

(C2. Work content acquisition unit 154)
Next, the function of the work content acquisition unit 154 will be described with reference to FIGS. 4 and 5. The work content acquisition unit 154 acquires information for identifying the work performed by the worker (hereinafter, also referred to as “work content information”). The "work content information" referred to in the present specification is information suitable for evaluating the work efficiency of the worker, and is an index that correlates with the skill level of the worker.

The work content acquisition unit 154 may be configured to acquire one type of work content information, or may be configured to acquire a plurality of types of work content information.

Hereinafter, specific examples 1 to 4 of the work content information acquired by the work content acquisition unit 154 will be described in order.

(A) Specific example of work content information 1
First, a specific example 1 of work content information will be described with reference to FIG. FIG. 4 is a diagram showing a state of work of the worker U. In this specific example, the work content acquisition unit 154 acquires the opening / closing operation of the door provided in the machine tool 100 as work content information.

As shown in FIG. 4, the machine tool 100 has an operation panel 130, a cover 131, and a door 136.

The cover 131, which is also called a splash guard, has the appearance of the machine tool 100 and forms a processing area for the work. The cover 131 has an opening 132. The opening 132 opens from the front surface to the upper surface of the cover 131 and leads to the machining area of the work.

The door 136 is provided so as to cover the opening 132, and is provided so as to be slidable in the horizontal direction. By opening and closing the door 136, the opening 132 is set to an open state in which the door 136 is not covered, or the opening 132 is set to a closed state in which the door 136 is covered by the door 136. When the door 136 is closed, the door 136 forms a processing area together with the cover 131. The door 136 is provided with a transparent window (not shown) for the worker U to look into the processing area.

Although FIG. 4 shows a door 136 that is slid-driven in the horizontal direction, the door 136 may be slid-driven in the gravitational direction. Further, the door 136 may be driven so as to slide and move on an arc.

The door 136 is connected to a drive mechanism (not shown). The drive mechanism opens and closes the door 136 at an arbitrary position according to a drive command from the control device of the machine tool 100, and changes the degree of the opening 132. The type of motor constituting the drive mechanism is not particularly limited, but an example is a servo motor, a stepping motor, or a linear motor.

The display 106 of the operation panel 130 displays an open button for accepting the opening operation of the door 136 and a closing button for accepting the closing operation of the door 136. When the operator presses the open button, the machine tool 100 drives the door 136 to a predetermined open position. On the other hand, when the operator presses the close button, the machine tool 100 drives the door 136 to a predetermined closed position. The work content acquisition unit 154 detects the opening information indicating that the door 136 has been opened and the closing information indicating that the door 136 has been closed, based on the opening / closing operation of the operation panel 130.

If the worker is an expert, the number of times the door 136 is opened and closed is reduced. On the other hand, if the worker is a beginner, the number of times the door 136 is opened and closed increases. That is, the opening / closing information of the door 136 can be an index for measuring the skill level of the operator. The work content acquisition unit 154 acquires the opening / closing information of the door 136 as the work content information.

The work content acquisition unit 154 does not necessarily have to acquire both the open information and the closed information, and may acquire only the open information or only the closed information.

Further, the opening / closing information does not necessarily have to be detected based on the pressing of the opening / closing button on the operation panel 130, and may be detected based on other operations. As an example, the operator locks the door 136 after closing the door 136, and unlocks the door 136 before opening the door 136. The lock operation and the unlock operation can be realized by, for example, pressing a button 81 (see FIG. 5) described later. Since the locking operation and the unlocking operation are performed together with the opening / closing operation of the door 136, the work content acquisition unit 154 may detect the opening / closing information of the door 136 based on the pressing of the button 81.

(B) Specific example of work content information 2
Subsequently, a specific example 2 of the work content information will be described with reference to FIG.

The operator opens the door 136 when installing the work to be processed, and closes the door 136 when the work installation work is completed. After that, when the machining of the work is completed, the door 136 is opened, and the operator performs the work of removing the work. When the work of removing the work is completed, the operator installs the work to be processed next and closes the door 136.

If the worker is an expert, the work can be quickly installed and the work can be removed, so that the time when the door 136 is open is shortened. On the contrary, if the worker is a beginner, it takes time to install the work and remove the work, and the door 136 is open for a long time. That is, the opening time of the door 136 can be an index for measuring the skill level of the worker. Therefore, the work content acquisition unit 154 acquires the opening time of the door 136 as work content information.

More specifically, the work content acquisition unit 154 starts counting the opening time of the door 136 based on the fact that the open button of the operation panel 130 is pressed. Then, the work content acquisition unit 154 stops counting the opening time of the door 136 based on the fact that the close button of the operation panel 130 is pressed. The work content acquisition unit 154 acquires the counted time as the opening time of the door 136.

(C) Specific example of work content information 3
Next, a specific example 3 of the work content information will be described with reference to FIG. FIG. 5 is a diagram showing an example of a screen displayed on the operation panel 130 of the machine tool 100. FIG. 5 shows an operation screen 80 as an example of the screen.

The operation screen 80 includes a mode selection area 82. A plurality of buttons are displayed in the mode selection area 82, and the operator can switch to a screen corresponding to each operation mode by pressing each button.

If the worker is an expert, the number of screen switchings is reduced. On the other hand, if the worker is a beginner, the number of screen switchings will increase. That is, the screen switching information of the operation panel 130 can be an index for measuring the skill level of the operator. Therefore, the work content acquisition unit 154 acquires screen switching information indicating that the screen of the operation panel 130 (display unit) has been switched as the work content information.

(D) Specific example of work content information 4
The work content information is not limited to the above-mentioned specific examples 1 to 3, and may be other information indicating the skill level of the worker. As an example, the work content information may include the time when the tool registration screen is open, the time required for setting the tool length, the number of times the tool runout is adjusted, or other information.

(C3. Machining condition acquisition unit 156)
Next, the function of the machining condition acquisition unit 156 shown in FIG. 2 will be described.

The machining condition acquisition unit 156 acquires the machining conditions of the machine tool 100 when the worker identified by the personal identification unit 152 is working on the machine tool 100. As will be described later, the acquired processing conditions are used as criteria for distinguishing the evaluation items. The machining conditions are specified from, for example, a machining program and machining settings in the machine tool 100.

As an example, the machining conditions include the type of machine tool. Types of machine tools include, for example, lathes, vertical machining centers, horizontal machining centers, turning centers, and add-on machines. The type of machine tool is represented by, for example, the model number of the machine tool.

As another example, the machining conditions include the material of the workpiece to be machined. Examples of the material of the work include stainless steel and titanium.

As yet another example, the machining conditions include the type of tool. Types of tools include, for example, milling cutters, drills, tools, milling cutters, and end mills. The type of tool is specified from the tool number specified in the machining program.

As yet another example, the machining conditions include a machining method of the workpiece. Examples of the work processing method include wet processing in which a liquid such as coolant is used during processing, and dry processing in which a liquid such as coolant is not used during processing.

(C4. Accumulation unit 252)
Next, with reference to FIG. 6, the function of the storage unit 252 shown in FIG. 2 will be described.

The machine tool 100 has the personal identification information of the worker identified by the personal identification unit 152, the work content information acquired by the work content acquisition unit 154, and the processing condition acquisition unit 156. It is transmitted to the information processing apparatus 200 as evaluation information in association with the processing conditions. The storage unit 252 stores the evaluation information received from the machine tool 100 in the evaluation database 222.

FIG. 6 is a diagram showing an example of the data structure of the evaluation database 222. In the evaluation database 222, personal identification information, reception time, the above-mentioned processing conditions, and the above-mentioned work content information are associated with each data ID.

(C5. Calculation unit 254)
Subsequently, with reference to FIG. 6, the function of the calculation unit 254 shown in FIG. 2 will be described.

The calculation unit 254 refers to the evaluation database 222 and calculates an evaluation score indicating the skill level of the work of the evaluation target person. The evaluation target person is designated, for example, via an input device (for example, a mouse) connected to the information processing device 200. As an example, the administrator selects one or more evaluation target candidates from the evaluation target candidates displayed on the display 206 of the information processing apparatus 200.

Based on this, the calculation unit 254 identifies the personal identification information of the designated evaluation target person, and acquires the work content information associated with the public figure identification information from the evaluation database 222. After that, the calculation unit 254 calculates the evaluation score of the evaluation target person based on the acquired work content information.

The evaluation score is calculated based on, for example, a predetermined calculation formula. In the calculation formula, a predetermined input value is used as an explanatory variable, and an evaluation score is used as an objective variable.

As an example, the explanatory variables include the number of times the door 136 is opened per predetermined period. More specifically, the calculation unit 254 counts the opening information "door opening" defined in the evaluation database 222 as the number of times the door 136 is opened. The number of times of opening may be the number of times of opening in one period, or may be the average value of the number of times of opening in each different period. The higher the number of open times, the lower the evaluation score of the evaluation subject. In other words, the smaller the number of openings, the higher the evaluation score of the evaluation subject.

As yet another example, the explanatory variables include the number of times the door 136 is closed per predetermined period. The calculation unit 254 counts the closing information "door closing" defined in the evaluation database 222, and calculates the count value as the number of times the door 136 is closed. The number of closures may be the number of closures in one period, or may be the average value of the number of closures in different periods. The higher the number of closures, the lower the evaluation score of the evaluation subject. In other words, the smaller the number of closures, the higher the evaluation score of the evaluation subject.

As yet another example, the explanatory variables include the opening time of the door 136 per predetermined period. The opening time may be the opening time of one period, or may be the average value of the opening times of different periods. The longer the opening time, the lower the evaluation score of the evaluation subject. In other words, the shorter the opening time, the higher the evaluation score of the evaluation subject.

As yet another example, the explanatory variables include the number of screen changes per predetermined period. The number of screen switching may be the number of screen switching in one period, or may be the average value of the number of screen switching in each period. As the number of times the screen is switched increases, the evaluation score of the evaluation target person becomes lower. In other words, the smaller the number of screen changes, the higher the evaluation score of the evaluation target person.

As yet another example, the above explanatory variables may include the time when the tool registration screen is open, the time required for setting the tool length, the number of times the tool runout is adjusted, and the like.

The evaluation score does not necessarily have to be calculated based on a predetermined calculation formula. As an example, the calculation unit 254 may calculate the evaluation score of the evaluation target person using the trained model. The trained model is configured to receive the input of the above explanatory variables and output the evaluation score. Various machine learning algorithms can be adopted as the learning method for generating the trained model. As an example, deep learning, a support vector machine, or the like is adopted as the machine learning algorithm.

Preferably, the evaluation score is calculated for each "machining condition" shown in FIG. As an example, the evaluation score is calculated for each "machine tool type". As another example, the evaluation score is calculated for each "work type". As another example, the evaluation score is calculated for each "tool type". As another example, the evaluation score is calculated for each "processing method".

(C6. Output unit 256)
Next, with reference to FIG. 7, the function of the output unit 256 shown in FIG. 2 will be described.

The output unit 256 outputs the evaluation score (proficiency level) of the evaluation target person calculated by the calculation unit 254 in various modes. The output mode of the evaluation score is not particularly limited. As an example, the evaluation score may be displayed on the display 206 of the information processing apparatus 200, may be output by voice, or may be output as data in a report format.

Hereinafter, an example in which the evaluation score is displayed on the display 206 of the information processing apparatus 200 will be described. FIG. 7 is a diagram showing an output screen 230 displayed on the display 206 of the information processing device 200.

The output unit 256 displays the evaluation score 231 of the evaluation target person calculated by the calculation unit 254 on the output screen 230. Typically, the evaluation score 231 is displayed for each predetermined evaluation item. In the example of FIG. 7, the evaluation score 231 is divided into items according to the "machine tool type" shown in the database 22 (see FIG. 6) and displayed as a radar chart. As a result, the manager can easily grasp the type of machine tool that the evaluation target person is good at or weak at.

In FIG. 7, the evaluation items displayed on the output screen 230 do not necessarily have to be divided into items according to the “machine tool type”. As another example, the evaluation items may be itemized according to the "work type" shown in the evaluation database 222, or may be itemized according to the "tool type" shown in the evaluation database 222. Alternatively, the items may be divided according to the "processing method" shown in the evaluation database 222, or the items may be divided by a combination thereof.

Preferably, the evaluation items to be displayed are configured to be selectable. More specifically, first, the information processing apparatus 200 displays displayable evaluation item candidates on the display 206. Each candidate for the evaluation item is configured to be selectable. Based on the selection of the evaluation items, the above-mentioned calculation unit 254 refers to the evaluation database 222 and calculates the evaluation score for each selected evaluation item. After that, the output unit 256 displays the calculated evaluation score on the output screen 230 for each evaluation item. As a result, the worker can confirm the evaluation score for any evaluation item.

In the example of FIG. 7, the evaluation score is shown for each evaluation item, but the evaluation score does not necessarily have to be displayed for each evaluation item. As an example, the total score of the evaluation target person may be displayed as the evaluation score. The total score is calculated without distinguishing the "processing conditions" shown in the evaluation database 222. The output screen 230 may display only the total score, or may display the total score together with the above-mentioned evaluation scores for each evaluation item.

Further, in the example of FIG. 7, the evaluation score 231 is shown on the radar chart, but the display format of the evaluation score 231 is not limited to the radar chart. As an example, the evaluation score 231 may be displayed in a line graph, may be displayed in a table format showing the evaluation score for each evaluation item, or may be displayed in a graph of another format.

Further, in the example of FIG. 7, the evaluation score 231 is shown by 6 levels of proficiency from "0" to "5", but the evaluation score 231 does not necessarily have to be classified in stages. As an example, the evaluation score 231 may be indicated by a numerical value (score). Alternatively, the evaluation score 231 may be displayed in such a manner that its magnitude can be distinguished by shade or color.

<D. Deformation example 1 of output screen 230>
Next, a modification 1 of the output screen 230 shown in FIG. 7 will be described with reference to FIG. FIG. 8 is a diagram showing an output screen 230A according to the first modification.

The output screen 230A according to this modification is different from the output screen 230 shown in FIG. 7 in that the reference score 232 is further displayed in addition to the evaluation score 231 of the evaluation target person. Since the other points are the same as those of the output screen 230 described above, the description of these points will not be repeated.

The reference score 232 serves as a reference for determining the magnitude of the evaluation score of the worker. By displaying the reference score 232 together with the evaluation score 231, the administrator can easily grasp the level of the evaluation target person with respect to the reference score 232, and it becomes easy to evaluate the evaluation target person.

The reference score 232 may be preset or dynamically calculated to meet internal or industry standards. The case where the reference score 232 is dynamically calculated will be described below.

The calculation unit 254 calculates the reference score 232 based on the "work content information" included in the evaluation database 222 (see FIG. 6) described above.

More specifically, the calculation unit 254 matches or resembles the "processing conditions" associated with the personal identification information of the evaluation target person from the "processing conditions" included in the evaluation database 222. The "machining condition" is specified, and the reference score 232 is calculated based on the "work content information" associated with the specified "machining condition".

In a certain aspect, the calculation unit 254 acquires "work content information" of other workers excluding the evaluation target person from the evaluation database 222. More specifically, when the "vertical machining center" is selected for the evaluation target person as the "machining condition", the calculation unit 254 of the other worker associated with the "vertical machining center" Acquire "work content information". After that, the calculation unit 254 calculates the reference score 232 based on the acquired work content information. As a result, a reference score of 232, which corresponds to the average skill level of all workers, is calculated as a comparison target.

In another aspect, the calculation unit 254 acquires the "work content information" of the selected comparison target person from the evaluation database 222, and calculates the reference score 232 based on the work content information. As an example, the administrator selects one or more comparison target persons from the list of comparison target candidates displayed on the information processing apparatus 200. As a result, the reference score 232 of the skill level of a specific worker is calculated as a comparison target.

Since the calculation method of the reference score 232 is the same as the calculation method of the evaluation score described in "C5. Calculation unit 254" described above, the description of the calculation method of the reference score 232 will not be repeated.

The output unit 256 displays the calculated reference score 232 in a manner comparable to the evaluation score 231 of the evaluation target person. In the example of FIG. 8, the reference score 232 is displayed on the radar chart in the same graph as the evaluation score 231.

The reference score 232 is displayed for each predetermined evaluation item. In the example of FIG. 8, the reference score 232 is divided into items according to the “machine tool type” shown in the database 22 (see FIG. 6) and displayed as a radar chart. However, as described above, the evaluation items displayed on the output screen 230A do not necessarily have to be divided into items according to the "machine tool type".

In the example of FIG. 8, the reference score is shown for each evaluation item, but the reference score does not necessarily have to be displayed for each evaluation item. As an example, the overall reference score may be displayed as the reference score. The comprehensive reference score is calculated without distinguishing the "processing conditions" shown in the evaluation database 222. The output screen 230A may display only the total score, or may display the total score together with the above-mentioned reference score for each evaluation item.

Further, in the example of FIG. 8, the reference score 232 is shown on the radar chart, but the display format of the reference score 232 is not limited to the radar chart. As an example, the reference score 232 may be displayed in a line graph, may be displayed in a table format showing the reference score for each evaluation item, or may be displayed in a graph of another format.

Further, in the example of FIG. 8, the reference score 232 is shown at the six worker levels of “0” to “5”, but the reference score 232 does not necessarily have to be shown at the worker level. As an example, the reference score 232 may be indicated by a numerical value (score). Alternatively, the magnitude of the reference score 232 may be displayed in a shade or color distinguishable manner.

<E. Deformation example 2 of output screen 230>
Next, a modification 2 of the output screen 230 shown in FIG. 7 will be described with reference to FIG. 9. FIG. 9 is a diagram showing an output screen 230B according to the second modification.

The output screen 230B according to this modification is different from the output screen 230 shown in FIG. 7 above in that the past evaluation score 233 of the evaluation target person is further displayed in addition to the current evaluation score 231 of the evaluation target person. different. Since the other points are the same as those of the output screen 230 described above, the description of these points will not be repeated.

By displaying the current evaluation score 231 together with the past evaluation score 233, the manager can easily grasp the growth of the evaluation target person and easily evaluate the evaluation target person.

More specifically, first, the administrator inputs the first period and the second period to the information processing apparatus 200. The first period is the period including the present. The second period is a period earlier than the first period. The calculation unit 254 refers to the evaluation database 222 (see FIG. 6) described above, and acquires the work content information associated with the personal identification information of the designated evaluation target person from the evaluation database 222. Among the acquired work content information, the calculation unit 254 uses the work content information included in the first period to calculate the current evaluation score 231 and uses the work content information included in the second period in the past evaluation score. It is used to calculate 233.

Since the method of calculating the evaluation scores 231 and 233 is the same as the method of calculating the evaluation score described in "C5. Calculation unit 254" described above, the description of the calculation method will not be repeated.

The output unit 256 displays the calculated evaluation scores 231 and 233 in a comparable manner. In the example of FIG. 9, the evaluation scores 231 and 233 are shown on the radar chart in the same graph.

<F. Hardware configuration of machine tool 100>
The hardware configuration of the machine tool 100 will be described with reference to FIG. FIG. 10 is a schematic view showing an example of the hardware configuration of the machine tool 100.

The machine tool 100 includes an operation panel 130 and an NC unit 300. Hereinafter, the hardware configuration of the operation panel 130 and the hardware configuration of the NC unit 300 will be described in order.

(F1. Hardware configuration of operation panel 130)
The operation panel 130 includes a control device 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, communication interfaces 104 and 105, a display 106, an operation key 107, and an auxiliary storage device 115. include. These components are connected to bus B1.

The control device 101 is composed of, for example, at least one integrated circuit. The integrated circuit is, for example, at least one CPU (Central Processing Unit), at least one GPU (Graphics Processing Unit), at least one ASIC (Application Specific Integrated Circuit), at least one FPGA (Field Programmable Gate Array), or them. It may be composed of a combination of.

The control device 101 controls the operation of the operation panel 130 by executing various programs such as the information processing program 124 and the operating system. The information processing program 124 is a program responsible for collecting and processing the above-mentioned evaluation information. The control device 101 reads the information processing program 124 from the auxiliary storage device 115 into the RAM 103 based on the reception of the execution command of the information processing program 124. The RAM 103 functions as a working memory and temporarily stores various data necessary for executing the information processing program 124.

A LAN (Local Area Network), an antenna, or the like is connected to the communication interfaces 104 and 105. The operation panel 130 realizes communication with an external device such as the information processing device 200 via the communication interface 104. Further, the operation panel 130 realizes communication with the NC unit 300 via the communication interface 105.

The display 106 is, for example, a liquid crystal display, an organic EL display, or other display device. The display 106 sends an image signal for displaying an image to the display 106 in accordance with a command from the control device 101 or the like. The display 106 is composed of, for example, a touch panel, and accepts various operations on the machine tool 100 by touch operations.

The operation key 107 is composed of a plurality of hardware keys and accepts various user operations on the operation panel 130. A signal corresponding to the pressed key is output to the control device 101.

The auxiliary storage device 115 is, for example, a storage medium such as a hard disk or a flash memory. The auxiliary storage device 115 stores the information processing program 124 and the like. The storage location of the information processing program 124 is not limited to the auxiliary storage device 115, and may be stored in the storage area of the control device 101 (for example, cache memory), ROM 102, RAM 103, external device (for example, server), or the like. good.

(F2. Hardware configuration of NC unit 300)
The NC unit 300 includes a control device 301, a ROM 302, a RAM 303, and communication interfaces 304 and 305. These components are connected to bus B3.

The control device 301 is composed of, for example, at least one integrated circuit. The integrated circuit may consist of, for example, at least one CPU, at least one ASIC, at least one FPGA, or a combination thereof.

The control device 301 controls the operation of the NC unit 300 by executing various programs such as a machining program 324 and an operating system. The machining program 324 is a program for realizing workpiece machining. The control device 301 reads the machining program 324 from the ROM 302 to the RAM 303 based on the reception of the execution command of the machining program 324. The RAM 303 functions as a working memory and temporarily stores various data necessary for executing the machining program 324.

The ROM 302 stores a machining program 324 and the like. The storage location of the processing program 324 is not limited to the ROM 302, and may be stored in a storage area of the control device 301 (for example, a cache memory), a RAM 303, an external device (for example, a server), or the like.

A LAN, an antenna, or the like is connected to the communication interfaces 304 and 305. The NC unit 300 realizes communication with an external device such as an operation panel 130 via the communication interface 304. Further, the NC unit 300 realizes communication with various drive units (for example, a servo driver for driving the spindle) for realizing workpiece machining via the communication interface 305.

<G. Hardware configuration of information processing device 200>
The hardware configuration of the information processing apparatus 200 will be described with reference to FIG. FIG. 11 is a schematic diagram showing an example of the hardware configuration of the information processing apparatus 200.

The information processing device 200 includes a control device 201, a ROM 202, a RAM 203, a communication interface 204, a display interface 205, an input interface 207, and an auxiliary storage device 215. These components are connected to bus B2. The ROM 202, RAM 203, and auxiliary storage device 215 are examples of the above-mentioned storage device 220 (see FIG. 1).

The control device 201 is composed of, for example, at least one integrated circuit. An integrated circuit may consist of, for example, at least one CPU, at least one GPU, at least one ASIC, at least one FPGA, or a combination thereof.

The control device 201 controls the operation of the information processing device 200 by executing various programs such as the information processing program 224 and the operating system. The information processing program 224 is a program that is responsible for part or all of the evaluation score calculation process. The control device 201 reads the information processing program 224 from the auxiliary storage device 215 into the RAM 203 based on the reception of the execution instruction of the information processing program 224. The RAM 203 functions as a working memory and temporarily stores various data necessary for executing the information processing program 224.

A LAN (Local Area Network), an antenna, or the like is connected to the communication interface 204. The information processing device 200 realizes communication with an external device such as a machine tool 100 via the communication interface 204.

A display 206 is connected to the display interface 205. The display interface 205 sends an image signal for displaying an image to the display 206 in accordance with a command from the control device 101 or the like. The display 206 is, for example, a liquid crystal display, an organic EL display, or other display device. The display 206 may be integrally configured with the information processing device 200, or may be configured separately from the information processing device 200.

An input device 208 is connected to the input interface 207. The input device 208 is, for example, a mouse, keyboard, touch panel, or other device capable of accepting user operations. The input device 208 may be integrally configured with the information processing device 200, or may be configured separately from the information processing device 200.

The auxiliary storage device 215 is, for example, a storage medium such as a hard disk or a flash memory. The auxiliary storage device 215 stores the above-mentioned evaluation database 222, the information processing program 224, and the like. These storage locations are not limited to the auxiliary storage device 215, and may be stored in the storage area of the control device 201 (for example, cache memory), ROM 202, RAM 203, an external device (for example, a server), or the like.

<H. Evaluation information transmission flow>
A flow in which the machine tool 100 transmits evaluation information to the information processing device 200 will be described with reference to FIG. FIG. 12 is a flowchart showing the flow of the transmission processing of the evaluation information. The process shown in FIG. 12 is executed by, for example, the control device 101 provided in the operation panel 130 in the machine tool 100.

The process shown in FIG. 12 is realized by the control device 101 executing the above-mentioned information processing program 124 (see FIG. 10). In other aspects, some or all of the processing may be performed by circuit elements or other hardware.

In step S110, the control device 101 determines whether or not the operation of the predetermined monitor target has been detected. As an example, the operation to be monitored includes an operation of opening and closing a door in the machine tool 100, an operation of switching screens, and the like. When the control device 101 determines that the operation of the predetermined monitor target has been detected (YES in step S110), the control device 101 switches the control to step S112. If not (NO in step S110), the control device 101 ends the process shown in FIG.

In step S112, the control device 101 functions as the personal identification unit 152 (see FIG. 2) described above, identifies a person who is currently working, and acquires personal identification information related to the person. Since the function of the personal identification unit 152 is as described above, the description thereof will not be repeated.

In step S114, the control device 101 functions as the work content acquisition unit 154 (see FIG. 2) described above, and acquires the machining conditions when the worker identified in step S112 is performing on the machine tool 100. Since the functions of the work content acquisition unit 154 are as described above, the description thereof will not be repeated.

In step S116, the control device 101 functions as the above-mentioned machining condition acquisition unit 156 (see FIG. 2), and acquires the machining conditions when the worker identified in step S112 is performing on the machine tool 100. Since the function of the processing condition acquisition unit 156 is as described above, the description thereof will not be repeated.

In step S118, the control device 101 associates the personal identification information acquired in step S112 with the work content information acquired in step S114 with the processing conditions acquired in step S116, and the associated information is used as evaluation information. Is transmitted to the information processing apparatus 200.

<I. Evaluation information accumulation flow>
A flow for accumulating evaluation information received from the machine tool 100 will be described with reference to FIG. FIG. 13 is a flowchart showing the flow of the evaluation information storage process. The process shown in FIG. 13 is executed by, for example, the control device 201 of the information processing device 200.

The process shown in FIG. 13 is realized by the control device 201 executing the above-mentioned information processing program 224 (see FIG. 11). In other aspects, some or all of the processing may be performed by circuit elements or other hardware.

In step S130, the control device 201 determines whether or not the evaluation information has been received from the machine tool 100. When the control device 201 determines that the evaluation information has been received from the machine tool 100 (YES in step S130), the control device 201 switches the control to step S132. If not (NO in step S130), the controller 201 ends the process shown in FIG.

In step S132, the control device 201 functions as the storage unit 252 (see FIG. 2) described above, and assigns a unique data ID to the received evaluation information. After that, the control device 201 associates the data ID, the reception time of the evaluation information, and the evaluation information, and stores the associated information in the above-mentioned evaluation database 222 (see FIG. 6). ..

<J. Evaluation score output flow>
The flow of the evaluation score output processing will be described with reference to FIG. FIG. 14 is a flowchart showing the flow of output processing of the evaluation score. The process shown in FIG. 14 is executed by, for example, the control device 201 of the information processing device 200.

The process shown in FIG. 14 is realized by the control device 201 executing the above-mentioned information processing program 224 (see FIG. 11). In other aspects, some or all of the processing may be performed by circuit elements or other hardware.

In step S150, the control device 201 determines whether or not the display instruction on the evaluation setting screen (not shown) has been accepted. When the control device 201 determines that the display instruction on the evaluation setting screen has been received (YES in step S150), the control device 201 switches the control to step S152. If not (NO in step S150), the controller 201 ends the process shown in FIG.

In step S152, the control device 201 displays the evaluation setting screen on the display 206 of the information processing device 200. The evaluation setting screen accepts input of various information necessary for calculating the evaluation score. As an example, the evaluation setting screen is configured to accept the designation of the evaluation target person, the designation of the evaluation target period, the designation of the evaluation item, and the like.

In step S160, the control device 201 determines whether or not the evaluation execution instruction has been received. As an example, the control device 201 determines that the evaluation execution instruction has been received based on the detection of the pressing of the execution button displayed on the evaluation setting screen. When the control device 201 determines that the evaluation execution instruction has been received (YES in step S160), the control device 201 switches the control to step S162. If not (NO in step S160), the controller 201 switches control to step S170.

In step S162, the control device 201 functions as the above-mentioned calculation unit 254 (see FIG. 2), and calculates the evaluation score of the evaluation target person with reference to the above-mentioned evaluation database 222 (see FIG. 6). Since the function of the calculation unit 254 is as described above, the description thereof will not be repeated.

In step S164, the control device 201 functions as the output unit 256 (see FIG. 2) described above, and displays the evaluation score calculated in step S162 on the output screen 230 (see FIG. 7) described above. Since the function of the output unit 256 is as described above, the description thereof will not be repeated.

In step S170, the control device 201 determines whether or not the cancellation instruction has been accepted. As an example, the control device 201 determines that the cancellation instruction has been received based on the detection of the pressing of the cancel button displayed on the evaluation setting screen. When the control device 201 determines that the cancellation instruction has been received (YES in step S170), the control device 201 ends the process shown in FIG. If not (NO in step S170), the control device 201 ends the process of step S160.

<K. Summary>
As described above, the processing system 10 calculates an evaluation score indicating the skill level of the work of the evaluation target person based on the work content information of each worker accumulated in the evaluation database 222. As a result, the manager can easily grasp the skill level of the worker, review the arrangement of the worker in the processing process, and make an efficient work plan. In addition, each worker can objectively grasp his / her own work ability and his / her weakness by confirming the evaluation score, and can improve the work efficiency.

It should be considered that the embodiments disclosed this time are exemplary in all respects and not restrictive. The scope of the present invention is shown by the scope of claims rather than the above description, and it is intended to include all modifications within the meaning and scope equivalent to the scope of claims.

10 Machining system, 22 databases, 80 operation screens, 81 buttons, 82 mode selection areas, 100, 100A, 100B machine tools, 101, 201, 301 controls, 102, 202, 302 ROM, 103, 203, 303 RAM, 104 , 105, 204, 304, 305 communication interface, 106, 206 display, 107 operation keys, 110 camera, 115, 215 auxiliary storage, 124, 224 information processing program, 130 operation panel, 131 cover, 132 openings, 136 doors, 152 Personal identification unit, 154 Work content acquisition unit, 156 Processing condition acquisition unit, 200 Information processing device, 205 Display interface, 207 Input interface, 208 Input device, 220 Storage device, 222 Evaluation database, 230, 230A, 230B Output screen , 231,233 Evaluation score, 232 reference score, 252 storage unit, 254 calculation unit, 256 output unit, 300 NC unit, 324 machining program.

Claims (9)

A personal identification unit for identifying workers working on machine tools,
A work information acquisition unit for acquiring work content information indicating the work content performed by the worker identified by the personal identification unit on the machine tool, and a work information acquisition unit.
A storage unit for storing the personal identification information of the worker identified by the personal identification unit and the work content information acquired by the work information acquisition unit in a database in association with each other.
Calculation for acquiring work content information associated with the personal identification information of the evaluation target person from the database and calculating an evaluation score indicating the skill level of the work of the evaluation target person based on the work content information. Department and
A processing system including an output unit for outputting an evaluation score calculated by the calculation unit. The processing system according to claim 1, wherein the output unit further outputs a reference score that serves as a reference for the skill level of the worker. The processing system according to claim 2, wherein the calculation unit further calculates the reference score based on the work content information included in the database. The processing system further includes a processing condition acquisition unit for acquiring the processing conditions of the machine tool when the worker identified by the personal identification unit is working on the machine tool.
The storage unit further corresponds to the processing conditions acquired by the processing condition acquisition unit with the personal identification information of the worker identified by the personal identification unit and the work content information acquired by the work information acquisition unit. Attach and store in the database
The calculation unit identifies a processing condition similar to the processing condition associated with the personal identification information of the evaluation target person from the processing conditions included in the database, and corresponds to the specified processing condition. The processing system according to claim 3, wherein the reference score is calculated based on the attached work content information. The machine tool further
A cover that has an opening and divides the machining area of the work,
With a door to cover the opening
The work content information according to any one of claims 1 to 4, wherein the work content information includes at least one of open information indicating that the door has been opened and closing information indicating that the door has been closed. Processing system. The machine tool further comprises a display.
The processing system according to any one of claims 1 to 5, wherein the work content information includes screen switching information indicating that the screen of the display unit has been switched. An information processing device that can communicate with machine tools
The personal identification information of the worker working on the machine tool and the work content information indicating the work content performed by the worker on the machine tool are received from the machine tool, and the received personal identification information and the said A storage unit for storing work content information in a database in association with it,
A calculation unit that acquires work content information associated with the personal identification information of the evaluation target person from the database and calculates an evaluation score indicating the skill level of the work of the evaluation target person based on the work content information. ,
An information processing device including an output unit for outputting an evaluation score calculated by the calculation unit. The personal identification information of the worker working on the machine tool and the work content information indicating the work content performed by the worker on the machine tool are received from the machine tool, and the received personal identification information and the work are received. Steps to associate with content information and accumulate in the database,
A step of acquiring work content information associated with the personal identification information of the evaluation target person from the database and calculating an evaluation score indicating the skill level of the work of the evaluation target person based on the work content information.
An information processing method including a step of outputting an evaluation score calculated in the calculation step. It is an information processing program
The information processing program is applied to the information processing device.
The personal identification information of the worker working on the machine tool and the work content information indicating the work content performed by the worker on the machine tool are received from the machine tool, and the received personal identification information and the work are received. Steps to associate with content information and accumulate in the database,
A step of acquiring work content information associated with the personal identification information of the evaluation target person from the database and calculating an evaluation score indicating the skill level of the work of the evaluation target person based on the work content information.
An information processing program that executes a step of outputting the evaluation score calculated in the calculation step.

Images