JP2023044948A - Line design device and line design method - Google Patents

Abstract

To provide a design device for a manufacturing line including a pass/fail determination function that achieves control specifications and facility specifications that complete own process and do not pass defects to the next process in a manufacturing line composed by combining facility modules with specific functions.SOLUTION: A line design device comprising a calculation unit and a storage unit. The storage unit holds process design information, facility module information, and pass/fail determination information. The calculation unit generates pass/fail determination content information that associates work in a process with facility modules that are used for the work and are to be pass/fail determination targets based on the process design information and the pass/fail determination information, generates pass/fail determination method information that associates the work in the process, facility modules, and types of sensors used for the pass/fail determination based on the facility module information and the pass/fail determination content information, and outputs information including work included in the process, facility modules used in the work, and types of sensors associated with the facility modules.SELECTED DRAWING: Figure 1

Description

The present invention relates to manufacturing line design technology.

In the manufacturing industry, there is a demand for a production form that manufactures a wide variety of products, and a production line that can flexibly change the configuration is required. In order to ensure the manufacturing quality of the manufacturing line after the configuration change, it is important to successively determine whether the work was performed appropriately in each process and equipment, that is, whether the work was passable or not.

As a background art of this technical field, there is Japanese Patent Laying-Open No. 2018-158431 (Patent Document 1). Patent Literature 1 describes the use of a definition of the fastening pass/fail judgment content specialized for screw fastening work and a definition of a pass/fail judgment method (parameter setting) specialized for the use of an electric screwdriver.

Further, there is Japanese Patent Application Laid-Open No. 2019-096232 (Patent Document 2). Patent Literature 2 describes that an inspection device (means) and quality information (pass/fail judgment information) defined in advance are used as a pass/fail judgment method.

In addition, there is Japanese Unexamined Patent Application Publication No. 2020-157317 (Patent Document 3). Patent Literature 3 describes that definitions are used for process design information and abnormality (pass/fail) judgment contents specific to the welding process.

Here, the pass/fail judgment content can be rephrased as what information is used for pass/fail judgment, and the pass/fail judgment method can be rephrased as what method is used to judge pass/fail using the information to be used.

JP 2018-158431 A JP 2019-096232 A JP 2020-157317 A

Patent Document 1 does not envision application to processes other than the fastening process. Therefore, it is not possible to calculate the pass/fail determination contents and pass/fail determination method suitable for various work types included in the process design.

In addition, Patent Literature 2 does not describe calculation of pass/fail judgment content, and does not assume the use of process design information. Therefore, it is not possible to calculate the pass/fail judgment contents suitable for each work type included in the process design.

Further, in Patent Document 3, the device used for pass/fail judgment is limited to a sensor, and selection of the device is not assumed. Therefore, it is not possible to calculate a pass/fail determination method suitable for each work type included in the process design.

In a system that builds a production line by flexibly combining devices (equipment modules) that have specific functions according to the process design information, equipment information, and work allocation information necessary for product manufacturing, a wide variety of product types The requirements for ensuring quality and satisfying constraints such as working hours and equipment costs in the manufacturing of products are pass/fail criteria for judging the normal completion of each work according to the content of net work and incidental work in each process Decisions on pass/fail judgment functions such as judgment content and pass/fail judgment method, and decisions on pass/fail judgment facilities such as necessary and sufficient device performance and device configuration for pass/fail judgment, and the like can be considered. In addition, as a requirement for reducing the number of line design man-hours when constructing a new production line or rebuilding it, a pass/fail judgment function and automatic determination of pass/fail judgment equipment can be considered.

The present invention has been made in view of the above circumstances, and uses process design information, equipment module information, work allocation information, and pass/fail judgment information as indicators to determine pass/fail judgment contents for each process and pass/fail judgment method for each module. can be determined and a manufacturing line including a pass/fail judgment function can be designed.

In order to solve at least one of the above problems, the present invention provides, for example, a line design device comprising a calculation unit and a storage unit, wherein the storage unit manufactures a product. Process design information that associates work included in each process of the line with the equipment module used in the work, equipment module information that indicates the type of sensor that can be attached to the equipment module, and completion status of the work and pass/fail judgment information indicating measurement items necessary for pass/fail judgment to evaluate, and the calculation unit, based on the process design information and the pass/fail judgment information, the work of the process, and the work to generate pass/fail judgment content information associated with the equipment module used for pass/fail judgment, and based on the equipment module information and the pass/fail judgment content information, the work of the process and the work used for the work Then, pass/fail judgment method information is generated that associates the equipment module to be passed/failed with the type of the sensor used for the pass/fail judgment for the equipment module, and the work included in the process and the work included in the work It is characterized by outputting information including the equipment module to be used and the type of the sensor associated with the equipment module.

According to one aspect of the present invention, in a production line configured by flexibly combining equipment modules having specific functions, it is possible to determine the content of pass/fail judgment in each process and the pass/fail judgment method in each module, thereby completing the self-process. It is possible to design a production line that includes a pass/fail judgment function so as to achieve control specifications and facility specifications that do not pass defects to the next process.

Problems, configurations, and effects other than the above will be clarified by the following description of the embodiments.

It is a block diagram showing an example of composition of a line design device in Example 1 of the present invention. It is a flowchart which shows an example of the process which a line design apparatus in Example 1 of this invention produces|generates a pass/fail judgment method. FIG. 3 is an explanatory diagram showing an example of a process design/work allocation information management table 300 stored in a process design/work allocation information storage area according to the first embodiment of the present invention; 4 is an explanatory diagram showing an example of an equipment module information management table 400 stored in an equipment module information storage area in Embodiment 1 of the present invention; FIG. FIG. 5 is an explanatory diagram showing an example of a pass/fail judgment information management table 500 stored in a pass/fail judgment information storage area according to the first embodiment of the present invention; FIG. 4 is an explanatory diagram showing an example of a pass/fail determination content management table held by the line design device according to the first embodiment of the present invention; FIG. 4 is an explanatory diagram showing an example of a pass/fail judgment method management table held by the line design device according to the first embodiment of the present invention; 6 is a flow chart showing an example of details of a process of generating pass/fail judgment details by a pass/fail judgment content calculation unit according to the first embodiment of the present invention; It is a flowchart which shows an example of the detail of the process which the pass/failure determination method calculation part in Example 1 of this invention produces|generates the pass/failure determination method. FIG. 4 is an explanatory diagram showing an example of an output screen of the line designing device according to Embodiment 1 of the present invention; FIG. 4 is an explanatory diagram showing an example of an output screen of the line designing device according to Embodiment 1 of the present invention; It is a block diagram which shows an example of a structure of the line design apparatus in Example 2 of this invention. FIG. 10 is a flow chart showing an example of processing in which the line design device according to the second embodiment of the present invention generates pass/fail judgment sensor assignments; FIG. FIG. 10 is an explanatory diagram showing an example of a sensor information management table stored in a sensor information storage area in Embodiment 2 of the present invention; FIG. 11 is an explanatory diagram showing an example of a pass/fail judgment sensor allocation management table held by the line designing device according to the second embodiment of the present invention; FIG. 10 is a flow chart showing an example of details of a process of allocating pass/fail judgment sensors by a pass/fail judgment sensor assigning unit according to the second embodiment of the present invention; FIG. FIG. 10 is an explanatory diagram showing an example of an output screen of a line designing device according to Embodiment 2 of the present invention; FIG. 10 is an explanatory diagram showing an example of an output screen of a line designing device according to Embodiment 2 of the present invention; It is a block diagram showing the hardware configuration of the line design device in the first and second embodiments of the present invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

As Embodiment 1 of the present invention, an example of generating a pass/fail judgment method from process design/work allocation information, equipment module information, and pass/fail judgment information will be described.

First, an example of the configuration of this embodiment will be described with reference to FIGS. 1 to 7. FIG.

FIG. 1 is a block diagram showing an example of the configuration of a line design device according to Embodiment 1 of the present invention.

In FIG. 1 , the line design device 100 includes an input section 110 , a storage section 120 , an output section 130 , a display section 140 and a calculation section 150 .

The input unit 110 receives input content from the user to the line designing device 100 .

The storage unit 120 includes a process design/work assignment information storage area 121 , an equipment module information storage area 122 , and a pass/fail judgment information storage area 123 .

FIG. 3 is an explanatory diagram showing an example of the process design/work allocation information management table 300 stored in the process design/work allocation information storage area 121 according to the first embodiment of the present invention.

The process design/work allocation information management table 300 includes process numbers 300a, work details 300b, target parts 300c, part information 300d, equipment module types (robots) 300e, equipment module types (tools) 300f, equipment It has a module type (part supply) 300g, an equipment module type (conveyance) 300h, and an equipment module type (table) 300i.

The process number 300a is a number that identifies each process. The work content 300b is information identifying each work in each process. The value of the work content 300b is information identifying each work, but may also include information indicating the type of each work (for example, assembly, screw tightening, visual inspection, inspection, etc.). The target part 300c is information for identifying a target part for each work. The component information 300d is information indicating the features, properties, etc. (eg, dimensions, shape, length, material, etc.) of the target component for each work. The equipment module type (robot) 300e to the equipment module type (table) 300i are information for identifying the equipment module for each equipment module type. In this example, the types of equipment modules include robots, tools attached to robots, parts supply, transport, and tables.

FIG. 4 is an explanatory diagram showing an example of the equipment module information management table 400 stored in the equipment module information storage area 122 according to the first embodiment of the present invention.

The equipment module information management table 400 has a module type 400a, a detailed module type 400b, and an attachable sensor type 1_400c to an attachable sensor type N_400f.

The module type 400a is information for identifying the type of equipment module. The module detailed type 400b is information for subdividing and identifying the type of the equipment module. For example, robots, which are equipment module types, are further classified into detailed types such as arm robots, parallel link robots, and scara robots. Attachable sensor types 1 to N400c to N400f are information for identifying types of sensors that can be attached to each type of robot. In this example, types of sensors include position sensors, cameras, and force sensors.

FIG. 5 is an explanatory diagram showing an example of the pass/fail judgment information management table 500 stored in the pass/fail judgment information storage area 123 according to the first embodiment of the present invention.

The pass/fail judgment information management table 500 includes a work type 500a, an operation element number 500b, an action element 500c, a pass/fail judgment number 500d, a pass/fail judgment timing 500e, a pass/fail judgment equipment module type 500f, and a pass/fail judgment content 500g. It has a pass/fail judgment accuracy of 500h.

The work type 500a is information identifying each work type. The action element number 500b and the action element 500c are information identifying action elements in each type of work. The pass/fail judgment number 500d is information for identifying pass/fail judgment. The pass/fail judgment timing 500e, pass/fail judgment facility module type 500f, pass/fail judgment content 500g, and pass/fail judgment accuracy 500h are the pass/fail judgment timing, facility module type subject to pass/fail judgment, and pass/fail judgment details in each pass/fail judgment identified by the pass/fail judgment number. and pass/fail judgment accuracy.

For example, the first row of the pass/fail judgment information management table 500 shown in FIG. This indicates that it is determined to pass when

The eighth and ninth rows of the pass/fail judgment information management table 500 shown in FIG. It is determined that the test is passed if it is detected or if a force that satisfies the conditions shown in the pass/fail determination accuracy 500h on the ninth line is detected.

Refer to FIG. 1 again. Output unit 130 outputs the result of calculation by calculation unit 150 to storage unit 120 and display unit 140 .

The display unit 140 presents the contents of output from the line designing device 100 to the user.

The calculation unit 150 includes a pass/fail judgment content calculation unit 151 and a pass/fail judgment method calculation unit 152 .

The pass/fail judgment content calculation unit 151 stores the process design/work assignment information (for example, FIG. 3) stored in the process design/work assignment information storage area 121 and the pass/fail judgment information (for example, FIG. 3) stored in the pass/fail judgment information storage area 123. 5) to generate pass/fail judgment content and output information according to the pass/fail judgment content management table 600 . The generated pass/fail judgment content management table 600 is stored in the storage unit 120, for example.

FIG. 6 is an explanatory diagram showing an example of the pass/fail determination content management table 600 held by the line design device 100 according to the first embodiment of the present invention.

The pass/fail judgment content management table 600 includes a process number 600a, a work content 600b, a target part 600c, an operation element number 600d, an action element 600e, a pass/fail judgment number 600f, a pass/fail judgment timing 600g, and an equipment module type 600h. , pass/fail judgment content 600i, and pass/fail judgment accuracy 600j.

Each row of the pass/fail judgment content management table 600 has a value of one of the rows of the process design/work assignment information management table 300 and the value of the work type 500a corresponding to the value of the work content 300b of that row. and any one or more rows of . The process number 600a, work content 600b and target part 600c correspond to the process number 300a, work content 300b and target part 300c of the process design/work allocation information management table 300, respectively. The operation element number 600d, the operation element 600e, the pass/fail judgment number 600f, the pass/fail judgment timing 600g, the pass/fail judgment content 600i, and the pass/fail judgment accuracy 600j are each specified by the value of the work content 600b in the pass/fail judgment information management table 500. It corresponds to the operation element number 500b, the operation element 500c, the pass/fail judgment number 500d, the pass/fail judgment timing 500e, the pass/fail judgment content 500g, and the pass/fail judgment accuracy 500h of the row corresponding to the type of work content. The equipment module type 600h corresponds to the type specified by the value of the pass/fail judgment equipment module type 500f among the values of the equipment module type (robot) 300e to the equipment module type (table) 300i.

For example, the first row of the pass/fail judgment content management table 600 shown in FIG. In this case, the process number 600a, the work details 600b, and the target part 600c in the first row of the pass/fail judgment content management table 600 correspond to the process number 300a, the work details, and the first row of the process design/work allocation information management table 300, respectively. 300b and the value of the target part 300c are stored. In the pass/fail judgment content management table 600, in the first row of the operation element number 600d, the action element 600e, the pass/fail judgment number 600f, the pass/fail judgment timing 600g, the pass/fail judgment content 600i, and the pass/fail judgment accuracy 600j, the pass/fail judgment information management table 500 500b, operation element 500c, pass/fail judgment number 500d, pass/fail judgment timing 500e, pass/fail judgment content 500g, and pass/fail judgment accuracy 500h. In the equipment module type 600h in the first row of the pass/fail judgment content management table 600, the values of the equipment module type (robot) 300e to the equipment module type (table) 300i in the first row of the process design/work assignment information management table 300 are stored. Among them, the value "conveyor A" of the facility module type (transport) 300h corresponding to the value "transport" of the pass/fail determination facility module type 500f in the first row of the pass/fail determination information management table 500 is stored.

Similarly, the second row of the pass/fail judgment content management table 600 shown in FIG. 6 corresponds to the combination of the first row of the process design/work allocation information management table 300 and the second row of the pass/fail judgment information management table 500. . In this case, the equipment module type (robot) 300e to equipment module type (table) 300i in the first row of the process design/work assignment information management table 300 are stored in the equipment module type 600h in the second row of the pass/fail judgment content management table 600. , the value “suction hand A” of the equipment module type (transportation) 300h corresponding to the value “tool” of the pass/fail judgment equipment module type 500f in the second row of the pass/fail judgment information management table 500 is stored. The values of the other columns in the second row of the pass/fail judgment content management table 600 are the same as those in the first row.

Refer to FIG. 1 again. The pass/fail judgment method calculation unit 152 calculates a pass/fail judgment based on the equipment module information (for example, FIG. 4) stored in the equipment module information storage area 122 and the pass/fail judgment content (for example, FIG. 6) generated by the pass/fail judgment content calculation unit 151. A determination method is generated, and information is output according to the pass/fail determination method management table 700 . The generated pass/fail judgment method management table 700 is stored in the storage unit 120, for example.

FIG. 7 is an explanatory diagram showing an example of the pass/fail judgment method management table 700 held by the line design device 100 according to the first embodiment of the present invention.

The pass/fail judgment method management table 700 includes a process number 700a, a work content 700b, a target part 700c, an operation element number 700d, an operation element 700e, a pass/fail judgment number 700f, a pass/fail judgment timing 700g, and an equipment module type 700h. , pass/fail judgment content 700i, pass/fail judgment accuracy 700j, and pass/fail judgment method 700k.

Each row of the pass/fail judgment method management table 700 corresponds to a combination of each row of the pass/fail judgment contents management table 600 and the module type row corresponding to the value of the equipment module type 700h in the equipment module information management table 400 . For example, the first to fourth rows of the pass/fail judgment method management table 700 shown in FIG. 7 correspond to the first row of the pass/fail judgment contents management table 600 shown in FIG. Corresponds to the combination with row.

More specifically, for example, the process number 700a to pass/fail judgment accuracy 700j in the first row of the pass/fail judgment method management table 700 correspond to the process number 600a to pass/fail judgment accuracy 600j in the first row of the pass/fail judgment content management table 600, respectively. value is stored. The pass/fail judgment precision 700j in the first row of the pass/fail judgment method management table 700 stores the value “position sensor” of the attachable sensor type 1_400c in the eleventh row of the facility module information management table 400 . Similarly, the pass/fail judgment accuracy 700j on the second and third rows of the pass/fail judgment method management table 700 includes the value “camera” and the value of the attached sensor type 2_400d on the eleventh row of the equipment module information The value "force sensor" of the possible sensor type 3_400e is stored.

Next, an example of processing in this embodiment will be described with reference to FIGS. 2, 8 and 9. FIG.

FIG. 2 is a flow chart showing an example of processing for generating a pass/fail judgment method by the line designing device 100 according to the first embodiment of the present invention.

In step S201 of FIG. 2, the pass/fail judgment content calculation unit 151 generates pass/fail judgment details from the process design/work allocation information and the pass/fail judgment information.

In step S202, the pass/fail judgment method calculation unit 152 generates a pass/fail judgment method from the equipment module information and the pass/fail judgment content.

Through the above steps, the pass/fail judgment method can be generated from the process design/work allocation information, equipment module information, and pass/fail judgment information.

FIG. 8 is a flow chart showing an example of details of the process (step S201) in which the pass/fail judgment content calculation unit 151 generates pass/fail judgment details according to the first embodiment of the present invention.

In step S801 of FIG. 8, the pass/fail determination content calculation unit 151 reads the process design/work allocation information stored in the process design/work allocation information storage area 121 according to the process design/work allocation information management table 300. FIG.

In step S<b>802 , the pass/fail judgment content calculation unit 151 reads pass/fail judgment information stored in the pass/fail judgment information storage area 123 according to the pass/fail judgment information management table 500 .

In step S<b>803 , the pass/fail judgment content calculation unit 151 identifies the work type corresponding to the work content 300 b of the process design/work assignment information management table 300 from the work type 500 a of the pass/fail judgment information management table 500 . The process number 300a and target part 300c corresponding to the work content 300b of the process design/work allocation information management table 300 are output to the pass/fail determination content management table 600 together with the work content 300b. Further, the pass/fail judgment content calculation unit 151 calculates the operation element number 500b, the action element 500c, the pass/fail judgment number 500d, the pass/fail judgment timing 500e, the pass/fail judgment content 500g, and the pass/fail judgment content 500g, corresponding to the work type 500a of the pass/fail judgment information management table 500. The determination accuracy 500h is output to the pass/fail determination content management table 600 .

In step S804, the pass/fail judgment content calculation unit 151 adds the corresponding equipment module type to the pass/fail judgment equipment module type 500f of the pass/fail judgment information management table 500 from 300e to 300i of the process design/work allocation information management table. Specify only one from Then, the pass/fail judgment content calculation unit 151 outputs the specified equipment module type to the pass/fail judgment content management table 600 .

In step S<b>805 , the pass/fail judgment content calculation unit 151 outputs the information generated up to step S<b>804 as pass/fail judgment details according to the pass/fail judgment content management table 600 .

Through the above steps, the work contents of each process are constructed from the process design/work allocation information stored in the process design/work allocation information storage area 121 and the pass/fail judgment information stored in the pass/fail judgment information storage area 123. generating pass/fail judgment details including the timing for executing pass/fail judgment, modules, judgment details, and judgment accuracy candidates for each operation element, and outputting pass/fail judgment content information according to a pass/fail judgment content management table 600; can be done.

Here, the combination of the module that performs pass/fail judgment, the judgment content, the judgment method, and the judgment accuracy for one specific pass/fail judgment timing in each operation element that constitutes the work content may be singular, It may be plural.

For example, in the example of FIG. 5, the eighth and ninth rows of the pass/fail judgment information management table 500 satisfy the accuracy shown in the pass/fail judgment accuracy 500h of the eighth row for the child part assembly operation of the assembly work using the tool. It indicates that the pass may be determined when the position is detected, and the pass may be determined when the force satisfying the conditions shown in the pass/fail determination accuracy 500h in the ninth row is detected. Both of these may be registered in the pass/fail judgment content management table 600 as shown in the eighth and ninth rows of the pass/fail judgment content management table 600 in the example of FIG. good.

FIG. 9 is a flow chart showing a detailed example of the process (step S202) in which the pass/fail judgment method calculation unit 152 generates the pass/fail judgment method according to the first embodiment of the present invention.

In step S901 of FIG. 9, the acceptance/rejection determination method calculation unit 152 reads the equipment module information stored in the equipment module information storage area 122 according to the equipment module information management table 400. FIG.

In step S<b>902 , the pass/fail judgment method calculation unit 152 reads the pass/fail judgment content generated by the pass/fail judgment content calculation unit 151 and managed according to the pass/fail judgment content management table 600 .

In step S<b>903 , the pass/fail judgment method calculation unit 152 identifies the module detailed type 400 b of the facility module information management table 400 for the equipment module type 600 h of the pass/fail judgment content management table 600 . Then, the pass/fail judgment method calculation unit 152 calculates the process number 600a, the work content 600b, the target part 600c, the operation element number 600d, the operation element 600e, and the pass/fail judgment number 600f corresponding to the equipment module type 600h of the pass/fail judgment content management table 600. , pass/fail judgment timing 600g, pass/fail judgment details 600i, and pass/fail judgment accuracy 600j are output to the pass/fail judgment method management table 700 together with the facility module type 600h.

In step S904, the pass/fail determination method calculation unit 152 identifies all of the attachable sensor types 400c to 400f for the module detailed type 400b of the equipment module information management table 400 as pass/fail determination methods. Then, the pass/fail judgment method calculation unit 152 outputs the specified pass/fail judgment method to the pass/fail judgment method management table 700 .

In step S<b>905 , the pass/fail judgment method calculation unit 152 outputs the information generated up to step S<b>904 as a pass/fail judgment method according to the pass/fail judgment method management table 700 .

Through the above steps, the pass/fail judgment method is generated from the equipment module information stored in the equipment module information storage area 122 and the pass/fail judgment content generated by the pass/fail judgment content calculation unit 151, and is determined according to the pass/fail judgment method management table 700. Information can be output.

Next, an example of output in this embodiment will be described with reference to FIGS. 10A and 10B.

10A and 10B are explanatory diagrams showing examples of output screens of the line designing device 100 according to the first embodiment of the present invention.

An output screen 1000 shown in FIGS. 10A and 10B is an example of a screen displayed by the display unit 140 of the line designing device 100. FIG.

In FIGS. 10A and 10B, a line configuration display section 1000a is a section that displays the entire line configuration. For example, based on the process design information specified by the process number 300a and the work content 300b of the process design/work assignment information management table 300, and the equipment information specified by the equipment module types 300e to 300i, etc., the line configuration the whole is displayed. For example, a block diagram or the like showing the connection relationship between modules may be displayed for all the modules that make up the line.

The module display section 1000b is a section that displays a specific module in the line configuration. A user can select a particular module from those that make up the entire line. For example, the user of the line design device 100 selects one module via the input unit 110 from the overall configuration of the line configuration display unit 1000a, and the process number 300a and the process number 300a of the process design/work allocation information management table 300 are displayed. An outline of the module such as the process design information specified by the work content 300b and the equipment information specified by the equipment module types 300e to 300i is displayed. For example, for a plurality of modules selected by the user from among the modules that make up the line, a block diagram or the like showing the connection relationship between the modules may be displayed.

The process display section 1000c is a section that displays the processes assigned to the modules displayed in the module display section 1000b and their work. A user can select a particular process from those assigned to the module. For example, for the module selected and displayed in the module display section 1000b, process design information such as process information specified by the process number 300a, the work content 300b, and the target part 300c of the process design/work allocation information management table 300 details are displayed.

The pass/fail judgment method display portion 1000d is a portion that displays the pass/fail judgment method for the work displayed in the process display portion 1000c. The user can select an equipment module type and a pass/fail judgment method to be used for pass/fail judgment for each operation element constituting work and pass/fail judgment timing. For example, for a module selected and displayed on the module display section 1000b, an operation element number 700d, an operation element 700e, a pass/fail judgment number 700f, a pass/fail judgment timing 700g, an equipment module type 700h, and a pass/fail judgment of the pass/fail judgment method management table 700 are displayed. Candidates of pass/fail judgment methods including contents 700i and pass/fail judgment accuracy 700j are displayed. In addition, the user of the line design device 100 selects a specific pass/fail judgment method by selecting the equipment module type, pass/fail judgment content, etc. from a plurality of pass/fail judgment method candidates via the input unit 110 .

With the contents described above, the user of the line designing device 100 can manually select the facility module type and the pass/fail judgment method used for the pass/fail judgment for the line configuration.

Here, the equipment module type and the configuration of the pass/fail judgment method used for pass/fail judgment for the line configuration may be determined entirely by automatic selection, may be entirely determined by manual selection, or may be partially determined by manual selection. may be determined by automatic selection and the rest by manual selection.

According to the first embodiment described above, the equipment module information used when manufacturing the target product, the process information when manufacturing the product, and the process design/work allocation information that associates the equipment modules, Also, based on the pass/fail judgment information for evaluating the completion status of each work, it is possible to generate a pass/fail judgment method, which is means for evaluating the pass/fail judgment contents for each process in each module.

As a second embodiment of the present invention, an example of generating sensor allocation from pass/fail judgment information, sensor information, and a pass/fail judgment method will be described. Except for the differences described below, the parts of the system of Example 2 have the same functions as the like-numbered parts of Example 1 shown in FIGS. are omitted.

First, an example of the configuration of this embodiment will be described with reference to FIGS. 11 to 14. FIG.

FIG. 11 is a block diagram showing an example of the configuration of a line design device according to Embodiment 2 of the present invention.

In FIG. 11 , the line designing device 1100 includes an input section 1110 , a storage section 1120 , an output section 1130 , a display section 1140 and a calculation section 1150 .

The input unit 1110 receives input content from the user to the line designing device 1100 .

The storage unit 1120 includes a process design/work assignment information storage area 1121 , an equipment module information storage area 1212 , a pass/fail determination information storage area 1123 , and a sensor information storage area 1124 .

The process design/work allocation information storage area 1121 stores process design/work allocation information according to the process design/work allocation information management table 300 (FIG. 3).

The equipment module information storage area 1122 stores equipment module information according to the equipment module information management table 400 (FIG. 4).

The pass/fail judgment information storage area 1123 stores pass/fail judgment information according to the pass/fail judgment information management table 500 (FIG. 5).

FIG. 13 is an explanatory diagram showing an example of the sensor information management table 1300 stored in the sensor information storage area 1124 according to the second embodiment of this invention.

The sensor information management table 1300 includes a sensor type 1300a, a sensor type 1300b, a sensor specification 1300c, a work type 1300d, an operation element 1300e, a pass/fail judgment timing 1300f, an equipment module type 1300g, a pass/fail judgment content 1300h, It has a ladder template 1300i and a robot program template 1300j.

The sensor type 1300a indicates the type of each sensor (for example, position sensor, camera, force sensor, torque sensor, etc.). The sensor model 1300b indicates the model of each sensor. This may be, for example, a sensor of each type indicated by the sensor type 1300a, and may be a type of sensor applicable to the facility module of the line (for example, a sensor possessed by the factory having the line). The sensor spec 1300c indicates the spec of each sensor such as measurement accuracy and measurement range. The work type 1300d and the action element 1300e indicate the work type and action element to be measured by each sensor. The pass/fail judgment timing 1300f indicates the timing at which pass/fail judgment is performed using each sensor. The facility module type 1300g indicates the type of the facility module to be measured by each sensor. The pass/fail judgment content 1300h indicates the pass/fail judgment content using each sensor. A ladder template 1300i indicates a sensor control ladder template for pass/fail judgment corresponding to each sensor. A robot program template 1300j indicates a template of a robot program for pass/fail judgment corresponding to each sensor.

Moreover, the sensor information management table 1300 may include information indicating the cost of each type of sensor.

Please refer to FIG. 11 again. Output unit 1130 outputs the result of calculation by calculation unit 1150 to storage unit 1120 and display unit 1140 .

The display unit 1140 presents the contents of output from the line designing device 1100 to the user.

The calculation unit 1150 includes a pass/fail judgment content calculation unit 1151, a pass/fail judgment method calculation unit 1152, a pass/fail judgment sensor assignment unit 1153, a sensor control ladder generation unit 1154, a robot program generation unit 1155, and a work time calculation unit 1156. , and an equipment cost calculation unit 1157 .

The pass/fail judgment content calculation unit 1151 stores the process design/work assignment information (for example, FIG. 3) stored in the process design/work assignment information storage area 1121 and the pass/fail judgment information (for example, FIG. 3) stored in the pass/fail judgment information storage area 1123 . 5) to generate pass/fail judgment content and output information according to the pass/fail judgment content management table 600 .

The pass/fail judgment method calculation unit 1152 calculates a pass/fail judgment based on the equipment module information (for example, FIG. 4) stored in the equipment module information storage area 1122 and the pass/fail judgment content (for example, FIG. 6) generated by the pass/fail judgment content calculation unit 1151. A determination method is generated, and information is output according to the pass/fail determination method management table 700 .

The pass/fail judgment sensor allocation unit 1153 assigns sensors based on the sensor information (for example, FIG. 13) stored in the sensor information storage area 1124 and the pass/fail judgment method (for example, FIG. 7) generated by the pass/fail judgment method calculation unit 1152. and outputs information according to the pass/fail judgment sensor allocation management table 1400 .

The sensor control ladder generation unit 1154 generates a sensor control ladder for pass/fail judgment from the pass/fail judgment information stored in the pass/fail judgment information storage area 1123 and the sensor allocation generated by the pass/fail judgment sensor allocation unit 1153. Information is output according to the judgment sensor allocation management table 1400 .

The robot program generation unit 1155 generates a pass/fail judgment robot program from the pass/fail judgment information stored in the pass/fail judgment information storage area 1123 and the sensor allocation generated by the pass/fail judgment sensor allocation unit 1153, and assigns the pass/fail judgment sensor Information is output according to the allocation management table 1400 . For example, when a robot is used when performing measurement for acceptance/rejection determination using a sensor, a program is generated to control the robot for performing the measurement.

From the sensor allocation generated by the pass/fail judgment sensor allocation unit 1153, the sensor control ladder generated by the sensor control ladder generation unit 1154, and the robot program generated by the robot program generation unit 1155, the work time calculation unit 1156 Work time is calculated, and information is output according to the pass/fail judgment sensor allocation management table 1400 .

The equipment cost calculation unit 1157, from the sensor allocation generated by the pass/fail judgment sensor allocation unit 1153, the sensor control ladder generated by the sensor control ladder generation unit 1154, and the robot program generated by the robot program generation unit 1155, Equipment cost is calculated and information is output according to the pass/fail judgment sensor allocation management table 1400 .

FIG. 14 is an explanatory diagram showing an example of a pass/fail judgment sensor allocation management table 1400 held by the line design device 1100 according to the second embodiment of the present invention.

The pass/fail judgment sensor assignment management table 1400 includes a process number 1400a, a work content 1400b, a target part 1400c, an operation element number 1400d, an operation element 1400e, a pass/fail judgment number 1400f, a pass/fail judgment timing 1400g, and an equipment module type 1400h. , pass/fail judgment content 1400i, pass/fail judgment method 1400j, pass/fail judgment accuracy 1400k, sensor type 1400l, ladder 1400m, robot program 1400n, work time 1400o, and equipment cost 1400p.

The process number 1400a to pass/fail judgment content 1400i are the same as the process number 700a to pass/fail judgment content 700i of the pass/fail judgment method management table 700, respectively. The pass/fail judgment method 1400j and the pass/fail judgment accuracy 1400k are the same as the pass/fail judgment method 700k and the pass/fail judgment accuracy 700j of the pass/fail judgment method management table 700, respectively. The sensor type 1400l indicates the type of sensor specified by the value of the pass/fail judgment method 1400j among the sensors used for pass/fail judgment of the operation of each task in each process. The ladder 1400m and the robot program 1400n are information identifying the sensor control ladder and the robot program, respectively, for judging whether the operation of each task in each process is pass/fail using the type of sensor specified by the value of the sensor type 1400l ( e.g. sensor control ladder and program file names). The work time 1400o and the equipment cost 1400p respectively indicate the work time and the cost of the equipment for judging whether the operation of each work of each process is acceptable using the sensor of the type specified by the value of the sensor type 1400l.

Next, an example of processing in this embodiment will be described with reference to FIGS. 12 and 15. FIG.

FIG. 12 is a flow chart showing an example of processing for generating pass/fail judgment sensor assignments by the line design device 1100 according to the second embodiment of the present invention.

In step S1201 in FIG. 12, the pass/fail judgment content calculation unit 1151 generates pass/fail judgment details from the process design/work allocation information and pass/fail judgment information.

In step S1202, the pass/fail judgment method calculation unit 1152 generates a pass/fail judgment method from the equipment module information and the pass/fail judgment content.

In step S1203, the pass/fail judgment sensor allocation unit 1153 generates pass/fail judgment sensor allocation used for pass/fail judgment from the pass/fail judgment method and sensor information.

In step S1204, the sensor control ladder generation unit 1154 and the robot program generation unit 1155 generate a sensor control ladder and a robot program for pass/fail judgment, respectively, from the pass/fail judgment information and the pass/fail judgment sensor allocation.

In step S1205, the work time calculation unit 1156 and the facility cost calculation unit 1157 calculate the work time including the pass/fail judgment and the facility cost including the sensor, respectively, from the pass/fail judgment sensor allocation including the sensor control ladder and the robot program. For example, the work time calculator 1156 may refer to the sensor control ladder and robot program to calculate the time required to perform pass/fail determination measurements using sensors. Further, when the sensor information management table includes information indicating the cost of the sensor, the equipment cost calculation unit 1157 may calculate the equipment cost based on the information.

In step S1206, the user selects the necessity of pass/fail judgment for each process from pass/fail judgment sensor assignments including ladders, robot programs, working hours, and equipment costs.

Through the above steps, pass/fail judgment sensor allocation can be generated from pass/fail judgment information, pass/fail judgment method, and sensor information, and sensors necessary for pass/fail judgment can be selected.

In step S1201, the pass/fail judgment content calculation unit 1151 performs processing according to the detailed flow chart of pass/fail judgment content calculation shown in FIG.

In step S1202, the pass/fail judgment method calculation unit 1152 performs processing according to the detailed flow chart of pass/fail judgment method calculation shown in FIG.

FIG. 15 is a flow chart showing an example of details of the process (step S1203) in which the pass/fail judgment sensor assigning unit 1153 allocates pass/fail judgment sensors according to the second embodiment of the present invention.

In step S 1501 in FIG. 15 , the pass/fail judgment sensor allocation unit 1153 reads the pass/fail judgment method generated by the pass/fail judgment method calculation unit 1152 according to the pass/fail judgment method management table 700 .

In step S<b>1502 , the pass/fail judgment sensor assignment unit 1153 reads the sensor information stored in the sensor information storage area 1124 according to the sensor information management table 1300 .

In step S1503, the pass/fail judgment sensor assignment unit 1153 identifies corresponding sensor information for the work content 700b, the operation element 700e, and the equipment module type 700h of the pass/fail judgment method management table 700 based on the sensor information management table 1300. do. Then, the pass/fail judgment sensor allocation unit 1153 assigns a process number 700a, a target part 700c, an operation element number 700d, an operation element 700e, and a Pass/fail judgment number 700f, pass/fail judgment timing 700g, facility module type 700h, pass/fail judgment details 700i, pass/fail judgment accuracy 700j, and pass/fail judgment method 700k are assigned together with work content 700b, operation element 700e, and facility module type 700h, pass/fail judgment sensor assignment. Output to the management table 1400 .

In step S1504, the pass/fail judgment sensor allocation unit 1153 selects the sensor type corresponding to the pass/fail judgment method 700k of the pass/fail judgment method management table 700 from among the sensor information specified in step S1503 from the sensor type 1300a of the sensor information management table 1300. Identify. Then, the pass/fail judgment sensor allocation unit 1153 outputs the sensor type 1300 b of the sensor information management table 1300 to the pass/fail judgment sensor allocation management table 1400 .

In step S1505, the information generated up to step S1504 is output as pass/fail judgment sensor allocation according to the pass/fail judgment sensor allocation management table 1400. FIG.

Through the above steps, a pass/fail judgment sensor allocation is generated from the sensor information stored in the sensor information storage area 1124 and the pass/fail judgment method generated by the pass/fail judgment method calculation unit 1152, and according to the pass/fail judgment sensor allocation management table 1400 Information can be output.

Here, for a combination of work content, operation element, and equipment module type, the number of sensor types used as the pass/fail judgment method may be singular or plural.

In step S1205 of FIG. 12, the sensor control ladder generation unit 1154 generates a ladder based on the ladder template 1300i corresponding to the sensor type 1400l output to the pass/fail judgment sensor allocation management table 1400 in step S1204, and manages pass/fail judgment sensor allocation. Output to ladder 1400 m of table 1400 . The robot program generation unit 1155 generates a robot program based on the robot program template 1300j corresponding to the sensor type 1400l output to the pass/fail judgment sensor allocation management table 1400 in step S1204, and creates the robot program 1400n of the pass/fail judgment sensor allocation management table 1400. output to

In step S1206, the work time calculation unit 1156 calculates the work time from the ladder 1400m and the robot program 1400n output to the pass/fail judgment sensor allocation management table 1400, and outputs the work time 1400o of the pass/fail judgment sensor allocation management table 1400. The facility cost calculator 1157 calculates the facility cost from the facility module type 1400h and the sensor type 1400l output to the pass/fail judgment sensor allocation management table 1400, and outputs the facility cost to the facility cost 1400p of the pass/fail judgment sensor allocation management table 1400.

Next, an example of output in this embodiment will be described with reference to FIGS. 16A and 16B.

16A and 16B are explanatory diagrams showing an example of an output screen of the line designing device 1100 according to Embodiment 2 of the present invention.

Output screen 1600 shown in FIGS. 16A and 16B is an example of a screen displayed by display unit 1140 of line designing device 1100 .

In FIGS. 16A and 16B, a line configuration display portion 1600a is a portion that displays the entire line configuration. For example, the line configuration display section 1600a can display the same content as the line configuration display section 1000a in FIG. 10A. For example, based on the process design information specified by the process number 300a and the work content 300b of the process design/work assignment information management table 300, and the equipment information specified by the equipment module types 300e to 300i, etc., the line configuration the whole is displayed.

The module display section 1600b is a section that displays a specific module in the line configuration. A user can select a particular module from those that make up the entire line. For example, the module display section 1600b can display the same content as the module display section 1000b in FIG. 10A. For example, the user of the line design device 1100 selects one module via the input unit 1110 from the entire configuration of the line configuration display unit 1000a, and the process number 300a of the process design/work allocation information management table 300 and the An outline of the module such as the process design information specified by the work content 300b and the equipment information specified by the equipment module types 300e to 300i is displayed.

The process display section 1600c is a section that displays the processes and the operations assigned to the modules displayed in the module display section 1600b. A user can select a particular process from those assigned to the module. For example, the process display section 1600c can display the same content as the process display section 1000c in FIG. 10B. For example, for the module selected and displayed in the module display section 1600b, process design information such as process information specified by the process number 300a, the work content 300b, and the target part 300c of the process design/work allocation information management table 300 details are displayed.

The pass/fail judgment method display portion 1600d is a portion that displays the pass/fail judgment method and sensor assignment for the work displayed in the process display portion 1600c. The user can select the facility module type, the pass/fail judgment method, and the sensor type to be used for the pass/fail judgment for each operation element constituting the work and for each pass/fail judgment timing. For example, for a module selected and displayed in the module display section 1600b, an operation element number 1400d, an operation element 1400e, a pass/fail judgment number 1400f, a pass/fail judgment timing 1400g, an equipment module type 1400h, and a pass/fail judgment of the pass/fail judgment sensor assignment management table 1400 are displayed. Candidates for pass/fail judgment sensor allocation including judgment content 1400i, pass/fail judgment method 1400j, pass/fail judgment accuracy 1400k, sensor type 1400l, work time 1400o, facility cost 1400p, and the like are displayed. In addition, the user of the line design device 1100 selects the equipment module type, pass/fail judgment content, sensor type, etc. from among a plurality of candidates for pass/fail judgment sensor allocation via the input unit 1110, thereby enabling a specific pass/fail judgment sensor allocation. to select.

According to the contents described above, the user of the line design device 1100 can manually select the equipment module type, the pass/fail judgment method, and the sensor type used for pass/fail judgment for the line configuration.

Here, the configuration of the equipment module type, the pass/fail judgment method, and the sensor type used for pass/fail judgment for the line configuration may all be determined by automatic selection, or all may be determined by manual selection. , some may be determined by automatic selection and the rest by manual selection. In addition, the criteria for selecting the configuration of the facility module type, the pass/fail judgment method, and the sensor type used for the pass/fail judgment for the line configuration may be to minimize the facility cost or to minimize the work time. may be

According to the second embodiment described above, the pass/fail judgment information for evaluating the completion status of each work constituting the process and the pass/fail judgment method as a means for evaluating the pass/fail judgment contents for each process in each module and the sensor information associated with the pass/fail judgment content indicating the measurement content for evaluating the work completion state in each process, the equipment module type and pass/fail judgment method used for pass/fail judgment for the line configuration and sensor type.

FIG. 17 is a block diagram showing the hardware configuration of the line design devices 100 and 1100 according to the first and second embodiments of the present invention.

The line design devices 100 and 1100 include a central processing unit CPU (Central Processing Unit) 1701, a memory 1702, an external storage device 1703 such as a hard disk drive HDD (Hard Disk Drive), and inputs such as a keyboard, mouse and bar code reader. A general computer 1700 comprising a device 1704, an output device 1705 such as a display, and a communication device 1706 that communicates with other computers via a communication network such as the Internet or a dedicated line, or a plurality of such computers 1700 It can be realized by a network system.

For example, storage units 120 and 1120 can be implemented by CPU 1701 using memory 1702 or external storage device 1703, and arithmetic units 150 and 1150 load predetermined programs stored in external storage device 1703 into memory 1702. The input units 110 and 1110 can be realized by the CPU 1701 using the input device 1704, and the output units 130 and 1130 can be realized by the CPU 1701 using the output device 1705. It is feasible.

The programs and data arranged in the storage units 120 and 1120, the calculation units 150 and 1150, and the external storage device 1703 may be arranged in advance inside the computer 1700, or may be read from an external storage medium or downloaded by communication. may be obtained with

According to the embodiment of the present invention described above, in a production line configured by flexibly combining equipment modules having specific functions, process design information, equipment module information, work allocation information, and pass/fail judgment information are used as indicators. , The content of pass/fail judgment in each process and the pass/fail judgment method in each module can be determined, and the manufacturing line design includes the pass/fail judgment function so that the own process is completed and the control specifications and equipment specifications that do not pass defects to the next process. can be realized.

Moreover, the system of the embodiment of the present invention may be configured as follows.

(1) A line designing device (eg, line designing device 100 or 1100), comprising a computing section (eg, computing section 150 or 1150) and a storage section (eg, storage section 120 or 1120), wherein the storage section , process design information (for example, process design/work assignment information management table 300) that associates the work included in each process of the product manufacturing line with the equipment module used for the work, and can be attached to the equipment module. Equipment module information indicating the type of sensor (e.g., equipment module information management table 400), and pass/fail judgment information indicating measurement items necessary for pass/fail judgment for evaluating the completed state of work (for example, pass/fail information management table 500). and, based on the process design information and the pass/fail judgment information, the calculation unit stores pass/fail judgment content information (for example, pass/fail A judgment content management table 600) is generated, and based on the equipment module information and the pass/fail judgment content information, the work of the process, the equipment modules used in the work and subject to pass/fail judgment, and the pass/fail judgment for the equipment modules Generate pass/fail judgment method information (for example, pass/fail judgment method management table 700 or pass/fail judgment sensor assignment management table 1400) that associates the type of sensor used for the work, the work included in the process, the equipment module used for the work, and the type of sensor associated with the equipment module (for example, the information shown in FIG. 10 or 16) is output.

As a result, in a production line that is configured by flexibly combining equipment modules with specific functions, it is possible to determine the pass/fail judgment content for each process and the pass/fail judgment method for each module. It is possible to design a production line including a pass/fail judgment function that meets the control specifications and equipment specifications that do not allow the flow of

(2) In the above (1), the storage unit holds sensor information (for example, the sensor information management table 1300) that associates the sensor type with the sensor model applicable to the line, and the calculation unit stores pass/fail judgment method information. And based on the sensor information, a sensor of a type that can be attached to the equipment module and a type of sensor that can be applied to the line is assigned to the equipment module as a sensor used for pass/fail judgment (for example, step S1203).

This makes it possible to design a production line in which appropriate sensors for pass/fail judgment are assigned to each equipment module.

(3) In (2) above, the sensor information includes information (e.g., ladder template 1300i) that associates a combination of a sensor type and an equipment module type with a template of a sensor control ladder that controls the sensor. Based on the sensor information, the department uses the sensor control ladder template corresponding to the combination of the equipment module type and the sensor type assigned to the equipment module to determine whether the equipment module is the target for pass/fail judgment. is generated (eg, step S1204).

This makes it possible to generate an appropriate sensor control ladder for pass/fail decisions.

(4) In (2) above, the sensor information includes information (for example, a robot program template 1300j) that associates a combination of a sensor type and an equipment module type with a robot program template for pass/fail judgment, Based on the sensor information, the calculation unit uses a robot program template corresponding to the combination of the equipment module type and the sensor type assigned to the equipment module to create a pass/fail judgment robot for the equipment module. A program is generated (for example, step S1204).

This makes it possible to generate an appropriate robot program for pass/fail judgment.

(5) In (2) above, the sensor information includes information that associates a combination of a sensor model and an equipment module type with a sensor control ladder template that controls the sensor, and information that associates the sensor model with the equipment module. At least one of information that associates a combination with a type and a template of a robot program for pass/fail judgment, and the calculation unit, based on the sensor information, determines the type of the equipment module and the model of the sensor assigned to the equipment module. Using at least one of the template of the sensor control ladder and the template of the robot program corresponding to the combination of, the sensor control ladder that controls the sensor for pass/fail judgment for the equipment module, and the equipment module At least one of the robot programs for pass/fail judgment is generated, and the work time for pass/fail judgment for the facility module is calculated based on at least one of the sensor control ladder and the robot program (eg, step S1205).

As a result, it is possible to calculate the working time of the process including the time required for pass/fail judgment.

(6) In (2) above, the calculation unit calculates the cost of the equipment for pass/fail judgment for the equipment module based on the assignment of the sensor type to the equipment module (for example, step S1205).

This makes it possible to calculate the cost of the production line including the cost of the sensor for pass/fail judgment.

In addition, the present invention is not limited to the above-described embodiments, and includes various modifications. For example, the above embodiments have been described in detail for better understanding of the present invention, and are not necessarily limited to those having all the configurations described. Also, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, or to add the configuration of another embodiment to the configuration of one embodiment. Moreover, it is possible to add, delete, or replace a part of the configuration of each embodiment with another configuration.

Further, each of the above configurations, functions, processing units, processing means, and the like may be realized by hardware, for example, by designing a part or all of them using an integrated circuit. Moreover, each of the above configurations, functions, etc. may be realized by software by a processor interpreting and executing a program for realizing each function. Information such as programs, tables, files, etc. that realize each function is stored in storage devices such as non-volatile semiconductor memories, hard disk drives, SSDs (Solid State Drives), or computer-readable non-volatile memory such as IC cards, SD cards, DVDs, etc. It can be stored on a temporary data storage medium.

Also, the control lines and information lines indicate those considered necessary for explanation, and not necessarily all the control lines and information lines are indicated on the product. In fact, it may be considered that almost all configurations are interconnected.

DESCRIPTION OF SYMBOLS 100... Line design apparatus 110... Input unit 120... Storage unit 121... Process design/work allocation information storage area 122... Equipment module information storage area 123... Pass/fail judgment information storage area 130... Output unit 140... Display unit 150 Calculation unit 151 Pass/fail judgment content calculation unit 152 Pass/fail judgment method calculation unit 300 Process design/work allocation information management table 400 Facility module information management table 500 Pass/fail judgment information management table , 600... Pass/fail judgment content management table 700... Pass/fail judgment method management table 1000... Line design device output screen 1100... Line design device 1110... Input unit 1120... Storage unit 1121... Process design/work allocation information storage Area 1122 Equipment module information storage area 1123 Pass/fail judgment information storage area 1124 Sensor information storage area 1130 Output unit 1140 Display unit 1150 Calculation unit 1151 Pass/fail judgment content calculation unit 1152 Pass/fail judgment method calculation unit 1153 Pass/fail judgment sensor assignment unit 1154 Sensor control ladder generation unit 1155 Robot program generation unit 1156 Work time calculation unit 1157 Facility cost calculation unit 1300 Sensor information management table 1400... Pass/fail judgment sensor allocation management table, 1600... Line design device output screen

Claims (12)

A line design device,
comprising a calculation unit and a storage unit,
The storage unit
Process design information that associates work included in each process of a product manufacturing line with equipment modules used in the work;
equipment module information indicating the type of sensor that can be attached to the equipment module;
Hold pass/fail judgment information indicating measurement items necessary for pass/fail judgment for evaluating the completed state of the work,
The calculation unit is
based on the process design information and the pass/fail judgment information, generating pass/fail judgment content information that associates the work of the process with the equipment module that is used for the work and is subject to pass/fail judgment;
Based on the equipment module information and the pass/fail judgment content information, the work of the process, the equipment module used in the work and subject to pass/fail judgment, and the equipment module to be used for pass/fail judgment Generate pass/fail judgment method information associated with the type of sensor,
A line designing device that outputs information including work included in the process, the equipment module used in the work, and the type of the sensor associated with the equipment module. The line design device according to claim 1,
The storage unit holds sensor information that associates the type of the sensor with a model of the sensor that can be applied to the line,
Based on the pass/fail judgment method information and the sensor information, the calculation unit uses a sensor of a type that can be attached to the equipment module and that is applicable to the line for pass/fail judgment. A line design device characterized in that it is assigned to the equipment module as a sensor. The line design device according to claim 2,
The sensor information includes information that associates a combination of the type of the sensor and the type of the equipment module with a template of a sensor control ladder that controls the sensor,
Based on the sensor information, the computing unit uses the template of the sensor control ladder corresponding to the combination of the type of the equipment module and the type of the sensor assigned to the equipment module to target the equipment module. A line designing device that generates a sensor control ladder that controls the sensor for pass/fail judgment. The line design device according to claim 2,
The sensor information includes information that associates a combination of the sensor type and the equipment module type with a robot program template for pass/fail judgment,
Based on the sensor information, the computing unit uses the template of the robot program corresponding to the combination of the type of the equipment module and the type of the sensor assigned to the equipment module to target the equipment module. A line design device that generates a robot program for pass/fail judgment. The line design device according to claim 2,
The sensor information includes information that associates a combination of the sensor model and the equipment module type with a sensor control ladder template that controls the sensor, and information that associates the sensor model with the equipment module type. At least one of information that associates a combination with a robot program template for pass/fail judgment,
Based on the sensor information, the computing unit performs at least one of the template of the sensor control ladder and the template of the robot program corresponding to the combination of the type of the equipment module and the type of the sensor assigned to the equipment module. to generate at least one of a sensor control ladder that controls the sensor for pass/fail judgment for the equipment module and a robot program for pass/fail judgment for the equipment module,
A line design apparatus, wherein a work time for pass/fail judgment for the equipment module is calculated based on at least one of the sensor control ladder and the robot program. The line design device according to claim 2,
The line designing device, wherein the calculation unit calculates a facility cost for pass/fail judgment for the facility module based on assignment of the sensor type to the facility module. A line design method executed by a line design device,
The line design device comprises a calculation unit and a storage unit,
The storage unit
Process design information that associates work included in each process of a product manufacturing line with equipment modules used in the work;
equipment module information indicating the type of sensor that can be attached to the equipment module;
Hold pass/fail judgment information indicating measurement items necessary for pass/fail judgment for evaluating the completed state of the work,
The line design method includes:
The computing unit generates, based on the process design information and the pass/fail judgment information, pass/fail judgment content information that associates the work of the process with the equipment module that is used for the work and is subject to pass/fail judgment. and
Based on the equipment module information and the pass/fail judgment content information, the computing unit performs the work of the process, the equipment module used in the work and subject to pass/fail judgment, and the pass/fail judgment for the equipment module. A procedure for generating pass/fail determination method information that associates the type of the sensor used for determination;
The computing unit includes a step of outputting information including work included in the process, the equipment module used in the work, and the type of the sensor associated with the equipment module. A line design method characterized by: The line design method according to claim 7,
The storage unit holds sensor information that associates the type of the sensor with a model of the sensor that can be applied to the line,
In the line design method, the calculation unit selects a sensor of a type that can be attached to the equipment module based on the pass/fail judgment method information and the sensor information, and a type of sensor that can be applied to the line. , the line design method, further comprising a procedure of allocating the equipment module as a sensor used for pass/fail judgment. The line design method according to claim 8,
The sensor information includes information that associates a combination of the type of the sensor and the type of the equipment module with a template of a sensor control ladder that controls the sensor,
In the line design method, the calculation unit uses the template of the sensor control ladder corresponding to the combination of the type of the equipment module and the type of the sensor assigned to the equipment module based on the sensor information. , the line design method, further comprising: generating a sensor control ladder for controlling the sensor for pass/fail judgment for the equipment module. The line design method according to claim 8,
The sensor information includes information that associates a combination of the sensor type and the equipment module type with a robot program template for pass/fail judgment,
In the line design method, the computing unit uses the template of the robot program corresponding to the combination of the type of the equipment module and the type of the sensor assigned to the equipment module based on the sensor information, A line design method, further comprising the step of generating a robot program for pass/fail judgment for the equipment module. The line design method according to claim 8,
The sensor information includes information that associates a combination of the sensor model and the equipment module type with a sensor control ladder template that controls the sensor, and information that associates the sensor model with the equipment module type. At least one of information that associates a combination with a robot program template for pass/fail judgment,
The line design method includes:
The computing unit performs at least one of the template of the sensor control ladder and the template of the robot program corresponding to the combination of the type of the equipment module and the type of the sensor assigned to the equipment module, based on the sensor information. a procedure for generating at least one of a sensor control ladder for controlling the sensor for pass/fail judgment for the equipment module and a robot program for pass/fail judgment for the equipment module, using
A line design characterized by further comprising a procedure in which the calculation unit calculates a work time for pass/fail judgment for the equipment module based on at least one of the sensor control ladder and the robot program. Method. The line design method according to claim 8,
The line design method, further comprising the step of calculating, by the calculation unit, a facility cost for pass/fail judgment for the facility module based on the assignment of the sensor type to the facility module. .

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