KR102361345B1 - Factory status diagnosis apparatus for factory autonomous controling based on production factory status and method using the same - Google Patents

Abstract

An apparatus and method for diagnosing a factory condition based on the condition of a production facility for autonomous factory control are provided. The method for diagnosing the state of a factory based on the state of a production facility for factory autonomous control according to an embodiment of the present invention includes a component manufacturing process analysis step in which the manufacturing process for each component is individually analyzed in which the operation sequence of the production facility for each component is defined; Production facility-based process map creation stage for each part with multiple manufacturing processes applied to each part, production facility-based process map creation stage for each part with integrated production facility-based process map for each part, and production facility-based process integration for each part A process monitoring step in which the map is used is included.

Description

FACTORY STATUS DIAGNOSIS APPARATUS FOR FACTORY AUTONOMOUS CONTROLING BASED ON PRODUCTION FACTORY STATUS AND METHOD USING THE SAME

The present invention relates to an apparatus and method for diagnosing a factory state based on the state of a production facility for factory autonomous control, and more particularly, to a manufacturing process for a plurality of parts including the state level of the production equipment for each part and the production equipment for each part. A device and method for diagnosing a factory condition based on the status of production facilities for factory autonomous control that can efficiently identify and respond to errors in production facilities for each part and manufacturing process for multiple parts by monitoring the status level and autonomously controlling it it's about

Recently, as issues related to the 4th industrial revolution increase, issues related to cyber-physical systems, digital twins, and smart factories are increasing.

In order to check the status information of a single element in an environment in which several conventional complex systems are integrated, facility data integration is essential, and as it is difficult to implement autonomous factory control based on a large number of integrated facility data, Research on increasing productivity and stability of manufacturing plants is in progress.

Among these studies, autonomous control system is attracting attention as a technology that infers the cause of an error and executes a strategy established based on the inferred cause when a normal scenario cannot be performed. is known to be in progress.

However, despite the above advantages of the autonomous control system technology, when the autonomous control system performs autonomous control in a large-scale factory, the user needs to know the situation in the factory in detail and the system load increases very high. There is this.

Republic of Korea Patent Publication No. 10-2018-0131808 (published on December 11, 2018) Republic of Korea Patent Publication No. 10-2018-0058189 (published on May 31, 2018)

The present invention has been devised to solve the above problems, and the present invention monitors and autonomously controls the state level of the production equipment for each part and the state level of the manufacturing process for each part including the production equipment for each part. An object of the present invention is to provide an apparatus and method for diagnosing the state of a factory based on the state of production facilities for autonomous factory control that can efficiently identify and respond to errors in production facilities and manufacturing processes for multiple parts.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

The method for diagnosing the state of a factory based on the state of a production facility for factory autonomous control according to an embodiment of the present invention includes a component manufacturing process analysis step in which the manufacturing process for each component is individually analyzed in which the operation sequence of the production facility for each component is defined; Production facility-based process map creation stage for each part with multiple manufacturing processes applied to each part, production facility-based process map creation stage for each part with integrated production facility-based process map for each part, and production facility-based process integration for each part A process monitoring step in which the map is used is included.

In addition, the step of generating the process map for each part based on the production facility for each part may include generating a process map for each part based on the production facility for each part in the form of an Nth-order square matrix for each of the plurality of manufacturing processes for each part.

In addition, the step of generating the production facility-based process integration map for each part defines the status level of the production facility for each part and the status level of the manufacturing process for each part, and the status level of the production facility for each part and the status of the manufacturing process for each part By applying the level to the production facility-based process map for each part, an integrated process map based on the production facility for each part is created, and the status level of the production facility for each part and the status level of the manufacturing process for each part is defined as a value of 1. It may include a normal state (Normal), an internal failure defined as a value of -1, and an external failure defined as a value of 0.

In addition, the step of generating the production facility-based process integration map for each part may further include generating the production facility-based process integration map for each part in the form of a multi-layer structure (Matrix).

In addition, the process monitoring step may include determining whether the production equipment for each part is normal and whether the manufacturing process for each part is normal using the autonomous control engine, and the production facility for each part and the manufacturing process for each part When at least one of the abnormalities is found, the method may include determining whether repair of the abnormal production equipment is necessary and whether it is necessary to stop the manufacturing process including the abnormal production equipment.

In addition, the step of determining whether repair of abnormal production equipment is necessary and whether it is necessary to stop the manufacturing process including the abnormal production equipment is only necessary when repairing the abnormal production equipment It may include a step in which the status level of the abnormal production facility is -1 in the process integration map based on the production facility for each part, but the status level of the manufacturing process including the abnormal production facility is converted to 1 or 0 in the process integration map based on the production facility for each part.

In addition, the step of determining whether repair of abnormal production facilities is necessary and whether it is necessary to stop the manufacturing process including the abnormal production facilities and if it is unnecessary to stop the entire manufacturing process, the method may further include instructing individual manufacturing process cessation or individual manufacturing process modification of the manufacturing process including abnormal production equipment.

In addition, the step of instructing individual manufacturing process cessation or individual manufacturing process modification of a manufacturing process that includes abnormal production facilities is collaborative production in collaboration with abnormal production facilities when it is necessary to interrupt individual manufacturing processes in a manufacturing process that includes abnormal production facilities The manufacturing process including the equipment is converted to the ready state, and the status level of the abnormal production facility is -1 in the process integration map based on the production facility for each part, but the status level of the manufacturing process including the collaborative production facility is converted to 0. may include

In addition, the step of instructing to suspend the individual manufacturing process or to modify the individual manufacturing process of the manufacturing process including the abnormal production equipment is abnormal among the manufacturing processes for each part when individual manufacturing process correction of the manufacturing process including the abnormal production equipment is required. It may include the step of determining whether there is an alternative manufacturing process that can replace the manufacturing process including production equipment and, if there is an alternative manufacturing process, the step of instructing to modify the manufacturing process including the abnormal production equipment as an alternative manufacturing process.

In addition, the method may further include the step of instructing repair of the abnormal production equipment after stopping the individual manufacturing process or instructing the individual manufacturing process to be corrected.

In addition, the step of instructing repair of the abnormal production equipment may include instructing the determination of whether self-healing of the abnormal production equipment is possible.

In addition, the step of instructing repair of abnormal production facilities instructs repair of abnormal production facilities when self-healing of the abnormal production facilities is not possible, and the status level of abnormal production facilities is -1 in the process integration map based on production facilities for each part. It may include a step of conversion.

The device for diagnosing the state of a factory state based on the state of a production facility for factory autonomous control according to an embodiment of the present invention includes a component manufacturing process analysis module in which a plurality of manufacturing processes for each component in which the operation order of each component is defined is individually analyzed; A process map creation module for each part that creates a process map for each part based on a production facility for each part to which a manufacturing process for each part is applied, It includes a process integration map generation module and a process monitoring module that monitors the process using a process integration map based on production facilities for each part.

According to the apparatus and method for diagnosing the state of a factory based on the state of production facilities for factory autonomous control according to an embodiment of the present invention, the state level of the production equipment for each part and the state level of the manufacturing process for each part including the production equipment for each part are determined. By monitoring and autonomously controlling, it is possible to efficiently identify and respond to errors in the production facilities for each part and the manufacturing process for multiple parts when errors occur.

1 is a flowchart illustrating a method for diagnosing a factory state based on a state of a production facility for factory autonomous control according to an embodiment of the present invention.
FIG. 2A is a flowchart illustrating a process monitoring method according to a production facility-based process integration map structure for each part in the factory condition diagnosis method based on the production facility condition for factory autonomous control of FIG. 1 .
FIG. 2B is a flowchart illustrating in detail a process monitoring method configured with a single-layered process integration map in the method for diagnosing a factory state based on a state of production facilities for factory autonomous control of FIG. 1 .
3 is a diagram illustrating a process map for each part based on a production facility for each part according to an embodiment of the present invention.
4 is a view showing a process integration map based on production facilities for each part according to an embodiment of the present invention.
5 is a diagram illustrating a process integration map based on production facilities for each part to which the state level of production facilities for each part is applied according to an embodiment of the present invention.
6 is a diagram illustrating a production facility-based process integration map for each component to which the state level of the production facility for each component is applied in the form of a multi-layer structure according to an embodiment of the present invention.
7 is a diagram illustrating an apparatus for diagnosing a factory state based on a state of a production facility for factory autonomous control according to an embodiment of the present invention.

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in a variety of different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the technical field to which the present invention belongs It is provided to fully inform the possessor of the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout.

It should be understood that although first, second, etc. are used to describe various elements, components, and/or sections, these elements, components, and/or sections are not limited by these terms. These terms are only used to distinguish one element, component, or sections from another. Accordingly, it goes without saying that the first element, the first element, or the first section mentioned below may be the second element, the second element, or the second section within the spirit of the present invention.

The terminology used herein is for the purpose of describing the embodiments and is not intended to limit the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, “comprises” and/or “made of” refers to a referenced component, step, operation and/or element of one or more other components, steps, operations and/or elements. The presence or addition is not excluded.

Unless otherwise defined, all terms (including technical and scientific terms) used herein may be used with the meaning commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in a commonly used dictionary are not to be interpreted ideally or excessively unless clearly defined in particular.

In this case, the same reference numerals refer to the same components throughout the specification, and it will be understood that each configuration of the process flowchart drawings and combinations of the flowchart drawings may be performed by computer program instructions. These computer program instructions may be embodied in a processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, such that the instructions performed by the processor of the computer or other programmable data processing equipment are not described in the flowchart configuration(s). It creates a means to perform functions.

It should also be noted that in some alternative embodiments it is also possible for the functions recited in the configurations to occur out of order. For example, it is possible that two components shown one after another may in fact be performed substantially simultaneously, or that the components may sometimes be performed in the reverse order according to the corresponding function.

Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings.

1 is a flowchart illustrating a method for diagnosing a state of a factory based on the state of a production facility for factory autonomous control according to an embodiment of the present invention.

Referring to FIG. 1 , the method for diagnosing the state of a factory based on the state of production facilities for factory autonomous control according to an embodiment of the present invention includes a manufacturing process analysis step (S100) for a plurality of parts, and a process map generation for each part based on a production facility for each part It may include a step (S200), a production facility-based process integration map creation step (S300) and a process monitoring step (S400) for each part.

In the manufacturing process analysis step ( S100 ) of the plurality of parts, the manufacturing process for each part in which the operation order of the production equipment for each part is defined may be individually analyzed.

Here, for convenience of explanation, it is assumed that the manufacturing process of the electric motor factory is monitored, and the description is not necessarily limited thereto and may be applied to manufacturing factories of various sizes.

In an embodiment, in the manufacturing process analysis step S100 for each of the plurality of parts, the manufacturing plant layout (location of a plurality of production facilities in the manufacturing plant) and the operation sequence of the production facilities for each part/process may be extracted. For example, in an electric motor factory, three parts (part 1 (motor cap), part 2 (motor case), and part 3 (motor coil)) are assembled using nine production facilities to complete a finished product.

In addition, in the manufacturing process analysis step ( S100 ) of the plurality of parts, the manufacturing process analysis information for each part including the operation sequence of the production facilities for each part and each process and the manufacturing process analysis information for each process such as the assembly process may be extracted. For example, the manufacturing process analysis information for each part is [{Part 1 (motor cap) ①→②, ②→③, ③→⑨, ⑨→⑧ operation of production facilities in the order}, {Part 2 (motor case) ⑤→ Operation of production equipment in the order of ⑨, ⑨→⑧}, {Part 3 (motor coil), operation of production equipment in the order of ⑥→⑨, ⑨→⑧}] Operation of production equipment in the order of ⑧→⑦}, {Inspection of finished product in the order of ⑦→⑨, ⑨→④}, {Marking of parts ④}] can be included. It is not necessarily limited thereto, and the order of operation of production facilities may be changed by the user.

In the step S200 of generating a process map for each part based on a production facility for each part, a process map for each part based on a production facility for each part to which a plurality of manufacturing processes for each part is applied may be generated. In addition, in the step (S200) of generating a process map for each part based on production facilities for each part, a process map for each part based on production facilities for each part is generated in the form of an N-th square matrix (here, N is a natural number) for each of a plurality of parts-by-part manufacturing processes. can be In this case, in the step of generating a process map for each part ( S200 ), a process map for each part based on a production facility for each part may be generated based on the information individually analyzed in the manufacturing process analysis step ( S100 ) for each part.

Referring to FIG. 3 , (a) is a view showing a process map for each part for part 1, (b) is a view showing a process map for each part for part 2, (c) is a view showing a process map for each part for part 3 It is a view showing a process map, (d) is a view showing a process map for each part for the parts assembly process, and (e) is a view showing a process map for each part for the finished product inspection process.

In the embodiment, Fig. 3 (a) is a process map for each part for the part 1, showing that the operation sequence of the production equipment for each part for the part 1 (motor cap) is displayed. For example, in the manufacturing process of Part 1 [{Sequence of production equipment operation of Part 1 (motor cap) ①→②, ②→③, ③→⑨, ⑨→⑧}), ①→② production equipment operation sequence is In the process map (FIG. 3(a)), it is defined as a value of 1 in row 1 and column 2, where 1 means the normal state of the production facility. Since the process map for each part of other parts is also performed in the same way as above, a detailed description will be omitted below.

According to the production facility operation sequence for each part, the values displayed on the process map for each part based on the production facility for each part are the normal state defined as a value of 1 (Normal), an internal failure defined as a value of -1, and a value of 0. It can be marked as an external failure defined by a value. Here, the internal error may include a situation in which an error occurred in the production facility that handles the process, and the external error is the production facility that handles the process before the process or the production that processes the process after treating the process It may include situations in which an error has occurred in the facility.

In step S300 of generating the production facility-based process integration map for each part, a production facility-based process integration map for each part in which the production facility-based process map for each part is integrated may be generated. Referring to FIG. 4 , a process integration map based on production facilities for each part may be generated by integrating process maps for each part for each of a plurality of parts-specific manufacturing processes.

In addition, in the production facility-based process integration map creation step (S300) for each part, the state level of the production facility for each part and the state level of the manufacturing process for each part can be defined, and the state level of the production facility for each part and the plurality of parts can be defined. By applying the state level of each manufacturing process to the process map for each part based on the production facility for each part, a process integration map based on the production facility for each part may be generated.

In an embodiment, in the step S300 of generating the production facility-based process integration map for each part, the state level of the production facility for each part may be displayed in a diagonal direction on the production facility-based process integration map for each part. Referring to FIG. 5 , in the production facility-based process integration map for each component in the form of a two-dimensional square matrix, the state level of the production facility F1 for each first component may be displayed in 1 column, 1 row, and by the second component The status level of the production facility F2 may be displayed in 2nd column, 2nd row, and the status level of the production facility FN for each Nth component may be displayed in N column and N row.

3, 4, and 5, in the process map for each part production facility-based part and the production facility-based process integration map for each part, production facilities are indicated as 1 to 9, but this is set for convenience of explanation and the manufacturing plant The map may be created by setting differently depending on the scale, number of production facilities, or users. That is, the number of production facilities in the process map for each part and the process integration map may be expressed as 1 to N (N is a natural number), and may be appropriately changed according to the scale of the manufacturing plant.

Here, the status level of the production facility for each part includes a normal state defined as a value of 1, an internal failure defined as a value of -1, and an external failure defined as a value of 0. can do.

In addition, the status level of the manufacturing process for each part includes a normal state defined as a value of 1, an internal failure defined as a value of -1, and an external failure defined as a value of 0. may include

In addition, in the step of generating the production facility-based process integration map for each part ( S300 ), the production facility-based process integration map for each part may be generated in the form of a multi-layer structure (Matrix). Referring to FIG. 6 , in the step S300 of generating the process integration map based on the production facilities for each part, the process integration map in the form of a two-dimensional square matrix has a multi-layer structure (the first layer, the second layer, the third layer, the fourth layer ?? Nth layer), so that it can be applied to a manufacturing process for a plurality of parts in a large-scale manufacturing plant. Accordingly, autonomous control of a large-scale manufacturing plant is also possible using the process integration map in the form of a multi-layer structure according to an embodiment of the present invention.

Therefore, in the process integration map creation step (S300) based on the production equipment for each part according to the embodiment of the present invention, the state level of the production equipment for each part on the process integration map, that is, the state level of the production equipment for each part, that is, the state level of the production equipment for each part, is defined, status can be monitored. That is, the problem that is not suitable for monitoring the state of each production facility can be solved through the present invention because the conventional relationship between the production facilities for each part and each process is indicated only.

In the process monitoring step ( S400 ), the process may be monitored using a process integration map based on production facilities for each part. Hereinafter, a more detailed description related to the process monitoring step (S400) will be described with reference to FIGS. 2A and 2B.

FIG. 2A is a flowchart illustrating a process monitoring method according to a production facility-based process integration map structure for each part in the factory condition diagnosis method based on the production facility condition for factory autonomous control of FIG. 1 . FIG. 2B is a flowchart illustrating in detail a process monitoring method configured with a single-layered process integration map in the factory condition diagnosis method based on the production facility condition for factory autonomous control of FIG. 1 .

In the process monitoring step ( S400 ), the structure of the production facility-based process integration map for each part may be analyzed ( S412 ) in order to monitor the process using the production facility-based process integration map for each part. In this case, the structural form of the production facility-based process integration map for each part may be analyzed as either a single-layer structure or a multi-layer structure.

When the shape of the production facility-based process integration map for each part is a single-layer structure in the structural form analysis step (S412) of the production facility-based process integration map for each part, as shown in FIG. 2b, the state of the production facility for each part is monitored (step A) ) can be instructed.

Referring to FIG. 2B , in the process monitoring step ( S400 ), the state of the production equipment for each part may be monitored. Specifically, in the process monitoring step ( S400 ), the state of the production facilities for each part composed of a process integration map of a single-layer structure may be monitored.

In an embodiment, it can be determined (S420) whether the production equipment for each part is normal and whether the manufacturing process for each part is normal using an autonomous control engine in the step (S410) of monitoring the state of the production equipment for each part (S420) have.

If the production equipment for each part and the manufacturing process for each part are normal in the determination step (S420) of whether the production equipment for each part is normal and whether the manufacturing process for each part is normal, manufacturing a plurality of parts using the production equipment for each part The process may continue (S490).

If at least one of the production facilities for each part and the manufacturing process for each part is abnormal in the determination step (S420) of whether the production equipment for each part is normal and whether the manufacturing process for each part is normal, whether the abnormal production equipment needs to be repaired, and It may be determined whether it is necessary to stop the manufacturing process including the abnormal production equipment (S430).

If only the repair of the abnormal production equipment is required in the step (S430) of determining whether repair of the abnormal production equipment is necessary and whether it is necessary to stop the manufacturing process including the abnormal production equipment (S440), the manufacturing process including the abnormal production equipment is in a ready state may be converted to or continue to be performed. In this case, in the process integration map based on production facilities for each part, the status level of the abnormal production facility is -1, but the status level of the manufacturing process including the abnormal production facility may be converted to 1 or 0. For example, when the manufacturing process is switched to the ready state (Idle), the manufacturing process including the abnormal production facility may proceed immediately as soon as the repair of the abnormal production facility is completed.

If it is necessary to stop the manufacturing process including the abnormal production equipment in the step (S430) of determining whether repair of the abnormal production equipment is necessary and whether the manufacturing process including the abnormal production equipment needs to be stopped, it is determined whether the entire manufacturing process needs to be stopped (S450) can be done.

If it is necessary to stop the entire manufacturing process in the determining whether the entire manufacturing process needs to be stopped (S450), the entire manufacturing process of the manufacturing process including the abnormal production equipment can be stopped and the repair of the abnormal production equipment is instructed (S440) )can do.

When it is unnecessary to stop the entire manufacturing process in the determining whether the entire manufacturing process needs to be stopped ( S450 ), it is possible to instruct an individual manufacturing process stop or individual manufacturing process correction of a manufacturing process including an abnormal production facility ( S460 ).

In an embodiment, when it is necessary to stop the individual manufacturing process of the manufacturing process including the abnormal production facility or to instruct the individual manufacturing process correction (S460), it is necessary to stop the individual manufacturing process including the abnormal production facility, the abnormal production facility A manufacturing process including a collaborative production facility that collaborates with may be converted to a ready state (S470). In this case, in the process integration map based on production facilities for each part, the status level of the abnormal production facility is -1, but the status level of the manufacturing process including the collaborative production facility may be switched to 0. That is, the collaborative production facility is displayed as a value of 0, which is an external error, as the manufacturing process cannot be performed due to the abnormal production facility.

Therefore, according to the method for diagnosing the state of the factory based on the state of production facilities for factory autonomous control according to an embodiment of the present invention, the production including the cooperative production facility and the cooperative production facility that cannot proceed with the manufacturing process work due to the production facility in which an error has occurred As the process is switched to the ready state, the power of the collaborative production facility can be reduced, and the manufacturing process including the production facilities for each part that does not generate errors can be prioritized, thereby increasing the productivity efficiency of the manufacturing plant.

In the embodiment, when it is necessary to modify the individual manufacturing process of the manufacturing process including the abnormal production facility in the step (S460) of instructing to stop the individual manufacturing process or to modify the individual manufacturing process of the manufacturing process including the abnormal production facility (S480), It may be determined whether there is an alternative manufacturing process capable of replacing a manufacturing process including an abnormal production facility among a plurality of manufacturing processes for each part ( S482 ).

If there is an alternative manufacturing process in the step (S482) of determining whether there is an alternative manufacturing process that can replace the manufacturing process including the abnormal production facility among the manufacturing processes for each part, the manufacturing process including the abnormal production facility is used as an alternative manufacturing process It may be instructed to correct (S482-1).

If there is no alternative manufacturing process in the step (S482) of determining whether there is an alternative manufacturing process that can replace the manufacturing process including the abnormal production equipment among the manufacturing processes for each part, the manufacturing process including the abnormal production equipment can be stopped, Repair of abnormal production equipment may be instructed (S482-2).

In the step S460 of instructing to suspend or modify individual manufacturing processes of a manufacturing process including abnormal production facilities, after instructing to stop individual manufacturing processes or modify individual manufacturing processes, the repair of abnormal production facilities may be instructed. Specifically, in the steps ( S440 and S482 - 2 ) of instructing repair of the abnormal production equipment, it may be instructed to determine whether self-healing of the abnormal production equipment is possible.

If self-healing of the abnormal production facility is possible in the step of instructing the determination of whether the abnormal production facility is capable of self-healing, the abnormal production facility can acquire self-healing information from the autonomous control engine, and self-healing based on the obtained self-healing information A healing operation may be performed. Here, the self-healing operation may include a function of restoring the abnormal production facility itself from the abnormal state to the normal state, but is not limited thereto.

In addition, if self-healing of the abnormal production facility is impossible at the stage of instructing the determination of whether or not self-healing of the abnormal production facility is possible, all manufacturing processes including the abnormal production facility may be stopped, and repair of the interrupted abnormal production facility may be requested. have. In this case, the status level of the abnormal production facility in the process integration map based on the production facility for each part may be converted to -1 or maintained at -1.

That is, the abnormal production facility according to an embodiment of the present invention may perform a self-healing operation based on the diagnosis result by the autonomous control engine, and may be restored to a normal state through this.

If the shape of the process integration map based on production facilities for each part is multi-layered in the structural form analysis step (S412) of the production facility-based process integration map for each part, the relevance of the production facility-based process map for each part is determined (S414). can Here, the multi-layer structure may include a first layer, a second layer, and a third layer to an N-th layer (N is a natural number).

For example, the step (S414) of determining the correlation of the process map for each part based on the production facility for each part is to determine the correlation between the production facility for each part and the production facility for each other part, and for each other part that cooperates with the production facility for each part It may include a configuration for determining whether a production facility exists, but is not necessarily limited thereto.

If there is no correlation between the process maps for each part in the step S414 of determining the relevance of the process map for each part based on the production facility for each part, it is possible to instruct (step A) to individually monitor each of the process maps for each part based on the production facility for each part. . Specifically, in the process monitoring step ( S400 ), the state of the production equipment for each part including the process map for each part based on the production equipment for each part may be monitored.

When the process map for each part is correlated in the step (S14) of determining the process map correlation for each part based on the production facility for each part, a related process integration map may be generated (S416). In addition, in the step (S416) of generating the associated process integration map, the part of the production facility for each part (hereinafter referred to as the production facility for each collaborative part) that cooperates with the process map for each part and the corresponding part-specific production facility (S416) By integrating each process map, it is possible to newly create a related process integration map different from the existing process integration map.

For example, the related process integration map can be created by integrating only the part-by-part process map of the production facility for each part where the abnormality occurred and the part-by-part process map of the production facility for each collaborative part associated with the generated related process integration map. You can instruct (Step A) to perform monitoring of the production facility process only for the production facility for each part.

Therefore, according to the factory status diagnosis method based on the production facility status for factory autonomous control according to the present embodiment, only the process map for each part of at least one manufacturing process in which an error has occurred among the individual manufacturing processes rather than the entire manufacturing process is integrated and the corresponding part By monitoring the status of each production facility, the productivity of the manufacturing plant can be improved, and the load on the system for factory autonomous control can be reduced.

7 is a diagram illustrating an apparatus for diagnosing a factory state based on a state of a production facility for factory autonomous control according to an embodiment of the present invention.

Referring to FIG. 7 , the factory state diagnosis apparatus 700 based on the state of production facilities for factory autonomous control includes a component manufacturing process analysis module 710 , a process map generation module for each component 720 , and a process integration map generation module 730 . ) and a process monitoring module 740 .

The component manufacturing process analysis module 710 may individually analyze ( S100 ) the manufacturing process for a plurality of components in which the operation order of the manufacturing equipment for each component is defined.

The process map generation module for each part 720 may generate a process map for each part based on the production facility for each part to which the manufacturing process for each part analyzed by the parts manufacturing process analysis module 710 is applied ( S200 ).

The process integration map generation module 730 may generate a production facility-based process integration map for each part in which the production facility-based process map for each part generated by the part-by-part process map generation module 720 is integrated ( S300 ). .

The process monitoring module 740 may monitor ( S400 ) the manufacturing process of each of the production facilities for each part by using the process integration map based on the production facilities for each part generated by the process integration map generation module 730 .

Configurations performed through the component manufacturing process analysis module 710 , the component-specific process map generation module 720 , the process integration map generation module 730 , and the process monitoring module 740 are the configurations described with reference to FIGS. 1 to 6 . Since it has the same configuration as , detailed description will be omitted below.

After all, according to the apparatus and method for diagnosing the state of a factory state based on the state of production equipment for factory autonomous control according to an embodiment of the present invention, even when an error occurs in the production equipment for each specific part by defining the state level of the production equipment for each part It is possible to improve the productivity of the manufacturing plant by monitoring and diagnosing only the status of the production facilities for each part without interruption of the entire production facility.

Although the embodiments of the present invention have been described above with reference to the accompanying drawings, those of ordinary skill in the art to which the present invention pertains can realize that the present invention can be embodied in other specific forms without changing the technical spirit or essential features. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

700: factory status diagnostic device
710: component manufacturing process analysis module
720: Part-specific process map generation module
730: process integration map generation module
740: process monitoring module

Claims (13)

A component manufacturing process analysis step in which the manufacturing process for each component is individually analyzed in which the operation sequence of the manufacturing facility for each component is defined;
generating a process map for each part based on a production facility for each part to which the manufacturing process for each part is applied;
generating a process integration map based on production facilities for each part in which the process maps for each part based on production facilities for each part are integrated; and
Including a process monitoring step using the process integration map based on the production facility for each part,
The step of generating a process map for each part based on the production facility for each part,
Generating a process map for each part in the form of an N-order square matrix for each of the plurality of parts-specific manufacturing processes; delete The method of claim 1, wherein the step of generating a process integration map based on production facilities for each part comprises:
The state level of the production equipment for each part and the state level of the manufacturing process for each of the plurality of parts are defined, and the state level of the production facility for each part and the state level of the manufacturing process for each part are defined as the state level of the manufacturing process for each part. By applying to each process map, a process integration map based on the production facility for each part is created,
The state level of the production facility for each part and the state level of the manufacturing process for each of the plurality of parts are a normal state defined as a value of 1, an internal failure defined as a value of -1, and a value of 0. A method of diagnosing the condition of a factory based on the condition of production facilities for factory autonomous control including external failure, which is defined as
The method of claim 3, wherein the step of generating an integrated process map based on production facilities for each part comprises:
Generating the production facility-based process integration map for each part in the form of a multi-layer structure (Matrix); Factory status diagnosis method based on the production facility status for factory autonomous control further comprising.
According to claim 1, wherein the process monitoring step,
determining whether the production equipment for each part is normal and whether the manufacturing process for each part is normal using an autonomous control engine; and
When at least one of the production equipment for each part and the manufacturing process for each part is abnormal, determining whether repair of the abnormal production equipment is necessary and whether it is necessary to stop the manufacturing process including the abnormal production equipment; A method of diagnosing factory status based on the status of production facilities for factory autonomous control.
6. The method of claim 5,
In the step of determining whether repair of the abnormal production equipment is necessary and whether it is necessary to stop the manufacturing process including the abnormal production equipment,
When only repair of the abnormal production equipment is required, the manufacturing process including the abnormal production equipment is switched to a ready state or is continuously performed, and the state level of the abnormal production equipment is -1 in the process integration map based on the production equipment for each part, but A method of diagnosing a state of a factory state based on a state of a production facility for factory autonomous control, comprising the step of converting the state level of the manufacturing process including the abnormal production equipment to 1 or 0.
6. The method of claim 5,
In the step of determining whether repair of the abnormal production equipment is necessary and whether it is necessary to stop the manufacturing process including the abnormal production equipment,
when it is necessary to stop the manufacturing process including the abnormal production equipment, determining whether the entire manufacturing process needs to be stopped; and
When it is unnecessary to stop the entire manufacturing process, instructing the individual manufacturing process stop or individual manufacturing process correction of the manufacturing process including the abnormal production facility; diagnostic method.
8. The method of claim 7,
In the step of instructing to stop the individual manufacturing process or to modify the individual manufacturing process of the manufacturing process including the abnormal production facility,
When it is necessary to stop the individual manufacturing process of the manufacturing process including the abnormal production facility, the manufacturing process including the collaborative production facility that cooperates with the abnormal production facility is converted to a ready state, and in the process integration map based on the production facility for each part The state level of the abnormal production facility is -1, but the state level of the manufacturing process including the cooperative production facility is converted to 0;
8. The method of claim 7,
In the step of instructing to stop the individual manufacturing process or to modify the individual manufacturing process of the manufacturing process including the abnormal production facility,
determining whether there is an alternative manufacturing process that can replace the manufacturing process including the abnormal production facility among the plurality of component-specific manufacturing processes when it is necessary to modify the individual manufacturing process of the manufacturing process including the abnormal production facility; and
When there is the alternative manufacturing process, instructing to modify the manufacturing process including the abnormal production equipment as the alternative manufacturing process; Factory state diagnosis method based on the state of production facilities for factory autonomous control comprising a.
8. The method of claim 7,
After the individual manufacturing process interruption or individual manufacturing process correction instruction, instructing the repair of the abnormal production equipment; Factory state diagnosis method based on the state of production facilities for factory autonomous control further comprising.
The method of claim 10, wherein in the step of instructing repair of the abnormal production equipment,
A method of diagnosing a state of a factory state based on a state of a production facility for factory autonomous control comprising a;
The method of claim 11, wherein in the step of instructing repair of the abnormal production equipment,
When the self-healing of the abnormal production facility is impossible, instructing the repair of the abnormal production facility, and converting the state level of the abnormal production facility to -1 in the process integration map based on the production facility for each part; A method of diagnosing factory status based on the status of production facilities for autonomous control.
a component manufacturing process analysis module for individually analyzing a manufacturing process for a plurality of parts in which the operation sequence of each part's production facility is defined;
a process map generation module for each part that generates a process map for each part based on a production facility for each part in the form of an Nth-order square matrix for each of the plurality of parts-specific manufacturing processes;
a process integration map generation module for generating a production facility-based process integration map for each part in which the production facility-based process map for each part is integrated; and
a process monitoring module for monitoring the process using the process integration map based on the production facility for each part; Factory status diagnosis device based on the production facility status for factory autonomous control, including.

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