KR102140731B1 - System implementing smart factory - Google Patents

Abstract

In a computer program stored in a medium to execute a method of operating a system implementing a smart factory in combination with hardware, the method of operation is based on data sensed from production devices used to produce a predetermined product, Obtaining progress information of production processes of the predetermined product; Determining whether the production processes are operating normally based on a comparison result of progress information of the production processes and expected progress information; Displaying operation state information of the production processes according to a determination result; And generating management information corresponding to the operation state information of the production processes, and displaying the management information.

Description

System that implements a smart factory {SYSTEM IMPLEMENTING SMART FACTORY}

It relates to a system that implements a smart factory.

Smart Factory refers to an intelligent production plant that improves productivity, quality, and customer satisfaction by applying information and communication technology (ICT) combined with digital automation solutions to production processes such as design, development, manufacturing and distribution, and logistics.

In recent years, the development and introduction of facilities necessary for the realization of a smart factory has been conducted to a large extent, but most SMEs lack the conditions or capabilities to promote this content on their own, so the manufacturing sites of SMEs are still in a phase where ICT is not applied. I often stay.

Therefore, there is a need for a technology that enables small and medium-sized enterprises in the ICT non-application stage to achieve the basic level of the smart factory.

It is intended to implement a smart factory by a software module that processes data produced by each production process of a product and a hardware module that senses data produced by each production process at a production site of a product.

According to one side, a computer program stored in a medium is provided to execute a method of operating a system implementing a smart factory in combination with hardware. The operation method includes: obtaining progress information of production processes of the predetermined product based on data sensed from production devices used to produce the predetermined product; Determining whether the production processes are operating normally based on a comparison result of progress information of the production processes and expected progress information; Displaying operation state information of the production processes according to a determination result; And generating management information corresponding to the operation state information of the production processes, and displaying the management information.

According to another aspect, based on data sensed from production devices used to produce a predetermined product, obtaining progress information of production processes of the predetermined product; Determining whether the production processes are operating normally based on a comparison result of progress information of the production processes and expected progress information; Displaying operation state information of the production processes according to a determination result; And generating management information corresponding to the operation state information of the production processes, and displaying the management information. An operating method of a system implementing a smart factory is provided.

According to another aspect, based on data sensed from production devices used to produce a predetermined product, a multi-sensor gateway device for obtaining progress information of production processes of the predetermined product; A processor for determining whether the production processes are operating normally, and generating management information corresponding to an operation state of the production processes, based on a result of comparing the progress information of the production processes with expected progress information; And a monitoring device that displays operation status information of the production processes and the management information.

A system that implements a smart factory that includes a software module that processes data produced by each production process of a product and a hardware module that senses data produced by each production process at a production site of a product includes: increased productivity of products, reduced inventory, Efficient management of inventory can be realized.

The present disclosure can be easily understood by the following detailed description and combinations of the accompanying drawings, wherein reference numerals refer to structural elements.
1 is a conceptual diagram illustrating an operation of a system implementing a smart factory, according to an embodiment.
2 is a flowchart illustrating a method of operating a system implementing a smart factory, according to an embodiment.
3 is a diagram for explaining a process of determining whether a production process of a product is operating normally according to a verification process unit in a system according to an embodiment.
4 is a diagram for explaining a screen on which a screen related to a smart factory management system is displayed on a user's terminal according to an embodiment.
5 is a diagram for describing a screen in which a screen related to a smart factory management system is displayed on a user's terminal according to another embodiment.
6 is a block diagram illustrating a system implementing a smart factory, according to an embodiment.

Hereinafter, various embodiments will be described in detail with reference to the drawings. The embodiments described below may be implemented by being modified in various different forms. In order to more clearly describe the features of the embodiments, detailed descriptions of the items well known to those of ordinary skill in the art to which the following embodiments belong will be omitted.

Meanwhile, in the present specification, when a component is "connected" to another component, this includes not only a case of'directly connecting', but also a case of'connecting with other components in between'. In addition, when it is said that a configuration "includes" another configuration, this means that other configurations may be included and not excluded, unless specifically stated to the contrary.

Further, terms including an ordinal number such as'first' or'second' used in the present specification can be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from other components.

1 is a conceptual diagram illustrating an operation of a system implementing a smart factory, according to an embodiment.

The system 600 for implementing the smart factory includes a reference information management module 110, a material management module 120, a production management module 130, a quality management module 140, a shipping management module 150, and a warehouse management module ( 160). The system 600 may be implemented by more modules than the above modules, or may be implemented by fewer modules. Hereinafter, the configuration module will be described.

The standard information management module 110 includes standard code setting, company management, item classification code for managing item codes, factory work management for managing factory operation dates, work management of workers, detailed information management of users, production management codes, Data regarding at least one of the material management codes can be processed and stored.

The standard code setting may be to assign a standard code for overall company management such as material management, company code, goods receipt type, goods issue type, order use, and price condition.

The production management code may be a code for a process code, a production line, a work machine, and the like. The material management code may be a material-related code such as raw material, order, unit price, and export material.

The material management module 120 may process and store data related to at least one of a material stocking plan, material stocking status, analysis of the stocking status of each company, the company's basic inventory, and inventory inquiry.

The information about the material stocking plan may include information such as the time of the stocking, the stocking plan, and the stocking plan management such as specifications. The information on the status of material stock may include management information on the stock of the stocked material. The information on the analysis of the receipt status of each company may include information for confirming the achievement rate and the return rate in consideration of the order quantity, the performance quantity, and the delay date of receipt. Information about the company's basic inventory may include inventory management information related to the basic inventory. The information on the inventory inquiry may include inventory item management information using a barcode.

The production management module 130 may process and store data related to at least one of tool management, production work standard, production progress management, material delivery, production daily report, and overall facility efficiency.

The tool management information may include production-related tool management information. The production work standard may include material item management information according to the process. Information on production progress management may include information on process unit classification and results. The information on material dispensing may include management information of materials used for production. The information about the production daily report may include information for inquiring and managing individual production performance information. The information on the overall efficiency of the facility may be information for checking the efficiency of the targeted production facility.

The shipment management module 150 may process and store data regarding at least one of a shipment instruction, shipment processing, and other shipment.

The information on the shipment instruction may include movement instruction information of the production product. The information on the shipment processing may include information processing the shipment of the product by outputting a specification table according to the shipment instruction for the product that has been produced.

The quality management module 140 may process and store data regarding at least one of an inspection standard, nonconformance management, nonconformity analysis, defect rate history inquiry, holding inspection management, and customer return processing.

The information on the inspection standard may include information for registering and managing the inspection standard. The information on the non-conformance management may include information on the cause of the defect and the countermeasure. The information on non-conformance analysis may include information obtained by collecting and analyzing information on defects by using non-conforming data. The information on the defect rate history inquiry may include a list and record information on defective products from receipt to production. The information on the landlord inspection management may include information for managing production quantity and defect rate for each process. The information about the customer return processing may include returned information such as a return number, a date, and a return destination.

The warehouse management module 160 may process and store data regarding at least one of a delivery plan, product delivery status, finished product inventory, and closing.

The information on the delivery plan may include information for real-time inquiry of management inventory for fabrics, work-in-progress, and products. The information on the product delivery status may include information identifying a movement path in the warehouse.

2 is a flowchart illustrating a method of operating a system implementing a smart factory, according to an embodiment.

In step S210, the system 600 may obtain progress information of production processes of a given product based on data sensed from production devices used to produce the given product. Here, the progress information may include information on the work rate performed in the total amount to which production processes should be performed.

The system 600 may generate a verification process unit in which at least one process is grouped based on the linkage of a production process between production devices. The system 600 may obtain progress information for each verification process unit based on input data and output data sensed for each verification process unit.

For example, the verification process unit may include at least one of a process for verifying the receipt of at least one component for a product, a process for verifying production of a product according to an order of a product, and a process for verifying shipment of a product.

In step S220, the system 600 may determine whether the production processes are operating normally, based on a comparison result of progress information of production processes and expected progress information.

Specifically, as a result of comparing the progress information and the expected progress information, if the production rate according to the progress is lower than the production rate according to the expected progress, or the defect rate according to the progress is higher than the defect rate according to the expected progress, the system 600 may determine that at least one of the production processes is not operating normally.

In order to quickly detect a production process that is not operating normally, the system 600 may perform verification for each verification process unit. The more verification process units, the higher the accuracy of verification, but the lower the speed of verification. Accordingly, the system 600 may determine the number of verification process units in consideration of attributes or characteristics of the production process.

On the other hand, the system 600 may determine whether, for each verification process unit, the output data matches expected data corresponding to the input data, and determines whether the verification process unit is operating normally.

In step S230, the system 600 may display operation status information of production processes according to a result of determining whether production processes are operating normally. Here, the operation state information may be information indicating whether the production process is operating normally.

The system 600 may discriminate and display a normal process that operates normally and an error process that does not operate normally based on the layout of a factory where production devices are installed. For example, the system 600 may include a first production device performing a first error process that does not operate normally, or a second production device or a second production device performing a normal process for the color of an area where the first production device is located. It can be displayed differently from the color of the located area.

In step S240, the system 600 may generate management information corresponding to the operation state information of the production processes, and display the management information.

For example, the system 600 may detect a first error process that does not operate normally among production processes. The system 600 may generate first management information for operating the operation of the first error process normally based on a result of comparing the first progress information of the first error process with the first expected progress information. .

When a defective product for a part is produced in the first production process, the system 600 may generate first management information indicating that it is necessary to produce a part corresponding to the quantity of the defective product. In addition, the system 600 may predict the cause of defective products for parts in the first production process, and display the predicted information.

In addition, the system 600 may display management information corresponding to error processors according to a priority to be recovered among error processes.

3 is a diagram for explaining a process of determining whether a production process of a product is operating normally according to a verification process unit in a system according to an embodiment.

Referring to FIG. 3, the system 600 classifies parts receiving process 311 of parts required to produce a product, parts inspection process 312 inspecting received parts, and parts inspected by part number. Parts classification process 313, parts loading process 314, rework process 321, manufacturing process 322, welding process 323, welding process 323, for production of products Assembling process 324, quality inspection process 331 to check product quality, test process 332 to test product function, etc., shipment waiting process 333, which is a preparation process for shipping products, checks for defects By performing the goods issue inspection process 334, the produced product can be shipped. The above processes are examples, and some processes may be omitted or added.

System 600 may collect data about the production processes of the product. The system 600 may generate a verification process unit based on the linkage of a production process between production devices or attributes between production processes.

The system 600 can predict an error process that has a high frequency of errors among production processes from data. For example, the system 600 may determine that the accumulated number of errors generated in the component classification process 313 and the assembly process 324 has exceeded a predetermined number of times based on the data obtained in each production process. . The system 600 can determine the component identification process 313 and the assembly process 324 as an error process.

The system 600 can generate a verification process unit based on the error process. For example, the system 600 may determine an attribute of the component identification process 313 as an attribute that is a process prior to processing a component to produce a product. The system 600 determines the properties of the parts receiving process 311, parts inspection process 312, and parts loading process 314 among the generation processes as properties that are processes prior to processing a part to produce a product. Can. The system 600 classifies the parts receiving process 311, the parts inspection process 312, the parts classification process 313, and the parts loading process 314 into the first verification process unit, and the goods receipt verification process 310. Can decide.

In addition, the system 600 may determine an attribute of the assembly process 324 as an attribute that is a process of manufacturing a product by processing parts. The system 600 may determine the attributes of the remanufacturing process 321, the manufacturing process 322, and the welding process 323 among production processes as attributes that are processes for producing a product by processing parts. The system 600 may classify the remanufacturing process 321, the manufacturing process 322, the welding process 323, and the assembly process 324 into a second verification process unit, and determine the production verification process 320.

In addition, the system 600 may determine the attributes of the quality inspection process 331, the test process 332, the shipment waiting process 333, and the shipment inspection process 334 as attributes that are processes for shipping the produced product. have. The system 600 classifies the quality inspection process 331, the test process 332, the shipment waiting process 333, and the delivery inspection process 334 into third verification process units, and determines the shipping verification process 330 have.

Meanwhile, the system 600 may acquire progress information for each verification process, for each verification process, based on the sensed input data and output data. In addition, the system 600 may determine whether the verification process is operating normally by checking whether the output data matches the expected data corresponding to the input data for each verification process.

For example, the system 600 may monitor production processes according to the receipt verification process 310, the production verification process 320, and the shipment verification process 330.

For example, the system 600 acquires the first input data input to the parts receiving process 311 through the sensor in the goods receipt verification process 310, and the first output data output from the parts loading process 314. Can be obtained.

Here, the system 600 may verify whether the first input data corresponds to the first output data in one receipt verification process 310 and verify the receipt verification process 310. When an error occurs in the goods receipt verification process 310, the system 600 may obtain error rate information for the goods receipt verification process 310 by comparing the first input data to the first output data. The system 600 may generate feedback information including information to be supplemented in the goods receipt verification process 310 based on the error rate information.

4 is a diagram for explaining a screen on which a screen related to a smart factory management system is displayed on a user's terminal according to an embodiment.

Referring to FIG. 4, an application for managing the system 600 for a smart factory in a user's terminal may be executed. The user can check at a time whether the entire system 600 is operating normally through the screen displayed on the user's terminal. Specifically, the user terminal may discriminate and display a normal process that normally operates and an error process that does not normally operate based on the layout of the factory where the production devices are installed.

As shown in Figure 4, the user terminal is based on the layout of the factory, the area 410 where the production management office is located, the area 420 where the material warehouse is located, the area 430 where the processing room is located, parts inspection, classification The area 440 performing the process, the area 450 performing the part loading process, the area 460 performing the work, assembly and fabrication process, and the area 470 performing quality inspection, testing, and shipping management are displayed. Can.

For example, when the process of assembling the parts does not operate normally, the user terminal may display the area 460 performing the process of assembling the parts by shading.

5 is a view for explaining a screen on which a screen related to the smart factory management system 600 is displayed on a user's terminal according to another embodiment.

Referring to FIG. 5, the user terminal may receive an input for selecting a region 460 through which the user performs a work or assembly and fabrication process. The user terminal can display information 510 about the production rate and the defect rate of the current product. In addition, the user terminal may estimate the cause of the defect and display the estimated information based on the data sensed from the production device performing the work and assembly and manufacturing process.

6 is a block diagram illustrating a system implementing a smart factory, according to an embodiment.

Referring to FIG. 6, the system 600 may include a multi-sensor gateway device 610, a processor 620, and a monitoring device 630. Not all of the illustrated components are essential components. The system 600 may be implemented by more components than the illustrated components, and the system 600 may be implemented by fewer components. Hereinafter, the components will be described.

The multi-sensor gateway device 610 may sense data from production devices used to produce a predetermined product.

The multi-sensor gateway device 610 may be operated by a predetermined power and may include an on/off switch. The multi-sensor gateway device 610 may include a sensor capable of sensing input data and output data input in each of the production processes. In addition, the multi-sensor gateway device 610 may include a temperature sensor and a humidity sensor. The multi-sensor gateway device 610 may be mounted on hardware performing each production process in order to sense data of each production process. The multi-sensor gateway device 610 may acquire input data at the start time and output data at the end time in the verification process unit. The multi-sensor gateway device 610 may transmit data sensed from the sensor to the processor 620 using modules such as BLE and WI-FI.

The processor 620 may acquire progress information of production processes of a given product based on the sensed data. Here, the progress information may include information on the work rate performed in the total amount to which production processes should be performed.

The processor 620 may generate a verification process unit in which at least one process is grouped based on the linkage of a production process between production devices. The processor 620 may acquire progress information for each verification process unit based on input data and output data sensed for each verification process unit.

For example, the verification process unit may include at least one of a process for verifying the receipt of at least one component for a product, a process for verifying production of a product according to an order of a product, and a process for verifying shipment of a product.

The processor 620 may determine whether the production processes are operating normally based on a result of comparing progress information of production processes with expected progress information.

Specifically, as a result of comparing the progress information and the expected progress information, if the production rate according to the progress is lower than the production rate according to the expected progress, or the failure rate according to the progress is higher than the failure rate according to the expected progress, the processor 620 may determine that at least one of the production processes is not operating normally.

In order to quickly detect a production process that is not operating normally, the processor 620 may perform verification for each verification process unit. The more verification process units, the higher the accuracy of verification, but the lower the speed of verification. Accordingly, the processor 620 may determine the number of verification process units in consideration of attributes or characteristics of the production process.

On the other hand, the processor 620 may determine whether the verification process unit is operating normally by checking whether the output data matches the expected data corresponding to the input data for each verification process unit.

The monitoring device 630 may display operation state information of production processes according to a result of determining whether production processes are operating normally. Here, the operation state information may be information indicating whether the production process is operating normally.

The monitoring device 630 may distinguish and display a normal process that normally operates and an error process that does not normally operate, based on the layout of the factory where the production devices are installed. For example, the monitoring device 630 may perform a first error process that does not normally operate, or a second production device or a second production device that performs a normal process on the color of an area where the first production device is located. It can be displayed differently from the color of the area where is located.

The processor 620 may generate management information corresponding to operation state information of production processes, and the monitoring device 630 may display management information.

For example, the processor 620 may detect a first error process that does not normally operate among production processes. The processor 620 may generate first management information for operating the operation of the first error process normally based on a result of comparing the first progress information of the first error process with the first expected progress information. .

When a defective product for a part is produced in the first production process, the processor 620 may generate first management information indicating that it is necessary to produce a part corresponding to the quantity of the defective product. In addition, the monitoring device 630 may predict the cause of the defective product for the part in the first production process, and display the predicted information.

In addition, the monitoring device 630 may display management information corresponding to the error processors 620 according to the priority to be recovered among the error processes.

The names of the components of the above-described server may be different. In addition, the system 600, 500 according to the present disclosure may be configured to include at least one of the above-described components, some components may be omitted, or additionally include other components.

As described above, although the embodiments have been described by the limited embodiments and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques are performed in a different order than the described method, and/or the components of the described system, structure, device, circuit, etc. are combined or combined in a different form from the described method, or other components Alternatively, even if replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (9)

A computer program stored in a medium to execute a method of operating a system implementing a smart factory in combination with hardware, the method of operation comprising:
Obtaining progress information of production processes of the predetermined product based on data sensed from production devices used to produce a predetermined product;
Determining whether the production processes are operating normally based on a comparison result of progress information of the production processes and expected progress information;
Displaying operation state information of the production processes according to a determination result; And
Generating management information corresponding to the operation state information of the production processes, and displaying the management information,
According to the result of the determination, displaying the operation status information of the production processes,
Based on the layout of the factory in which the production devices are installed, comprising the steps of distinguishing and displaying a normal process that normally operates and an error process that does not normally operate,
If error processes that are not normally operated among the production processes are detected, displaying the management information may include:
And displaying management information corresponding to the error processes according to a priority to be recovered among the error processes.
According to claim 1,
The step of obtaining the progress information of the production processes of the predetermined product,
Generating a verification process unit in which at least one process is grouped, based on the linkage of the production process between the production devices; And
And obtaining progress information for each verification process unit based on input data and output data sensed for each verification process unit.
According to claim 2,
Determining whether the production process is operating normally,
And determining, by each verification process unit, whether the output data matches expected data corresponding to the input data, and determining whether the verification process unit is operating normally.
According to claim 2,
The at least one verification process unit,
A process for verifying the receipt of the at least one component for the product;
A production verification process of the product according to the order of the product; And
A computer program comprising at least one of the shipping verification process of the product.
delete According to claim 1,
The step of generating management information corresponding to the operation state information of the production processes,
Detecting a first error process that does not normally operate among the production processes; And
And generating first management information for operating the operation of the first error process normally based on a result of comparing the first progress information of the first error process with the first expected progress information, Computer program.
The method of claim 6,
When a defective product for a part is produced in the first production process,
Generating the first management information,
And generating the first management information indicating that the production of the part corresponding to the quantity in which the defective product has been produced is necessary.
delete A method for operating a system implementing a smart factory including a multi-sensor gateway device, a processor, and a monitoring device,
Sensing data from production devices used to produce a predetermined product by the multi-sensor gateway device;
Obtaining, by the processor, progress information of production processes of the predetermined product based on the sensed data;
Determining, by the processor, whether the production processes are operating normally, based on a comparison result of progress information of the production processes and expected progress information;
Displaying, by the monitoring device, operation state information of the production processes according to a determination result; And
Generating, by the monitoring device, management information corresponding to the operation state information of the production processes, and displaying the management information,
According to the result of the determination, displaying the operation status information of the production processes,
Based on the layout of the factory in which the production devices are installed, comprising the steps of distinguishing and displaying a normal process that normally operates and an error process that does not normally operate,
If error processes that are not normally operated among the production processes are detected, displaying the management information may include:
And displaying management information corresponding to the error processes according to a priority to be recovered among the error processes.

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