KR20230042907A - Smart support system for the manufacturing site - Google Patents

Abstract

The present invention relates to a smart factory support system at a manufacturing site. The system comprises: a plurality of manufacturing site devices that are placed at each manufacturing site to monitor the manufacturing site; and a cloud-based smart factory support server that provides a service for utilizing data for each manufacturing site using the plurality of manufacturing site devices. The smart factory support server comprises: a service server that provides a service available at the manufacturing site; a proxy server that relays between at least one device among the plurality of manufacturing site devices and the service server; and an ontology construction server that classifies and stores manufacturing data received from the plurality of manufacturing site devices and data for each item within the manufacturing site. Accordingly, the present invention can increase production efficiency at the manufacturing site.

Description

Smart factory support system at the manufacturing site {SMART SUPPORT SYSTEM FOR THE MANUFACTURING SITE}

The present invention relates to a smart factory support system for managing key performance indicators at a manufacturing site.

In order to maximize the productivity of the manufacturing industry, data such as processes, sensors, facilities, energy, quality, etc. generated in the manufacturing line are collected, and based on these data, reliable analysis tools are used to control, operate, manage, etc. the production system. Enterprise-wide optimization of all processes is required. In particular, on-site monitoring based on key indicators is absolutely necessary at small and medium-sized manufacturing sites.

However, standardization is not applied to most of the field data collected from domestic and foreign manufacturing companies, so data compatibility and usability between different processes, factories, and industries are limited. In addition, due to the diversity of data generated at the manufacturing site, it is difficult to flexibly analyze and process data considering the characteristics of various manufacturing industries with existing analysis tools that use standardized and uniform analysis techniques.

Accordingly, in order to efficiently collect and process vast amounts of data generated in various manufacturing industries, improve productivity of manufacturers through data modeling and analysis, and create new high value-added services, rather than using data at the individual factory level, In addition, the need to develop a joint big data platform capable of collecting and analyzing data from the entire manufacturing industry is emerging.

In other words, in a situation where convergence services in the manufacturing sector are predicted to become the core in the future, the demand for big data analysis in the manufacturing industry is expected to continue to expand. In the case of small and medium-sized manufacturers, it is difficult to introduce the technology due to the installation cost and excessive field application period through machine learning.

The background description of the invention has been prepared to facilitate understanding of the present invention. It should not be construed as an admission that matters described in the background art of the invention exist as prior art.

Korean Patent Publication No. 10-2021-0028176 (2021.03.11.) Korean Patent Registration No. 10-2284539 (2021.07.27.)

Accordingly, there is a demand for the development of a technology capable of managing and analyzing data of manufacturing sites in a simpler manner.

The problem to be solved by the present invention is to connect with the cloud and deploy a solution equipped with key management KPIs in the field based on Kubernetes-based container technology, thereby providing manufacturing sites with minimum system specifications with key management KPIs in the field. It is to provide a method capable of providing a solution equipped with and a system that performs the same.

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

In order to solve the problems described above, a smart factory support system at the manufacturing site is provided. The system is a cloud-based system that is deployed at each manufacturing site and provides a plurality of manufacturing site devices monitoring the manufacturing site and a service for utilizing data for each manufacturing site with the plurality of manufacturing site devices. It includes a smart factory support server, wherein the smart factory support server includes a service server providing services available at a manufacturing site, a proxy server relaying between at least one device among the plurality of manufacturing site devices and the service server, and the service server. It is configured to include an ontology construction server that classifies and stores manufacturing data received from a plurality of manufacturing site devices and data for each item in the manufacturing site.

Other embodiment specifics are included in the detailed description and drawings.

The present invention can expand the smart factory business by providing a cloud-type smart factory support system for small and medium-sized companies lacking system management personnel. In particular, the present invention can provide new analysis services using data to each company, such as supporting infrastructure management and data management through a cloud server.

In addition, the present invention defines the main items that companies need to manage through the smart factory support system as management indicators, and clearly organizes problems in the field into a library, thereby helping to prepare future operation management and systems. .

In addition, the present invention can use the data collected at the manufacturing site through the smart factory support system to perform process analysis and prediction, and then use it as common data. In particular, the present invention can safely and jointly use data management and analysis functions in multiple smart factories by collectively storing/processing/learning field data generated in multiple smart factories in a cloud server.

In addition, the present invention increases production efficiency at the manufacturing site by applying processing/analysis/utilization technology to large-volume data (data with irregularity, variability, high-dimensional, and diversified characteristics) generated at the production site through the smart factory support system. can make it

In addition, the present invention provides a data collection, pre-processing, analysis, and visualization module suitable for analyzing large-capacity manufacturing data through a smart factory support system, thereby providing general-purpose techniques such as data mining and machine learning, which require a lot of effort in pre-processing, to manufacturing companies. can be applied right away.

In addition, the present invention can improve the operation rate by minimizing downtime through real-time recognition when production facilities and equipment are stopped through the smart factory support system. In addition, by providing predictive maintenance information on manufacturing facilities and equipment failures in advance, it is possible to reduce maintenance costs after failures.

In addition, the present invention can minimize labor-intensive work at the manufacturing site by providing advanced data analysis technology and a support platform through a smart factory support system.

Effects according to the present invention are not limited by the contents exemplified above, and more various effects are included in the present invention.

1 and 2 are schematic diagrams showing the configuration of a smart factory support system in a manufacturing site according to an embodiment of the present invention.
3 is a block diagram showing the configuration of a smart factory support server according to an embodiment of the present invention.
4 to 11 are schematic diagrams for explaining the concept of a smart factory support system according to an embodiment of the present invention.

Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and will be implemented in various forms different from each other, only these embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention pertains. It is provided to completely inform the person who has the scope of the invention, and the present invention is only defined by the scope of the claims. In connection with the description of the drawings, like reference numerals may be used for like elements.

In this document, expressions such as "has," "may have," "includes," or "may include" indicate the existence of a corresponding feature (eg, numerical value, function, operation, or component such as a part). , which does not preclude the existence of additional features.

In this document, expressions such as “A or B,” “at least one of A and/and B,” or “one or more of A or/and B” may include all possible combinations of the items listed together. . For example, “A or B,” “at least one of A and B,” or “at least one of A or B” (1) includes at least one A, (2) includes at least one B, Or (3) may refer to all cases including at least one A and at least one B.

Expressions such as “first,” “second,” “first,” or “second,” used in this document may modify various elements, regardless of order and/or importance, and refer to one element as It is used only to distinguish it from other components and does not limit the corresponding components. For example, a first user device and a second user device may represent different user devices regardless of order or importance. For example, without departing from the scope of rights described in this document, a first element may be named a second element, and similarly, the second element may also be renamed to the first element.

A component (e.g., a first component) is "(operatively or communicatively) coupled with/to" another component (e.g., a second component); When referred to as "connected to", it should be understood that the certain component may be directly connected to the other component or connected through another component (eg, a third component). On the other hand, when an element (eg, a first element) is referred to as being “directly connected” or “directly connected” to another element (eg, a second element), the element and the above It may be understood that other components (eg, a third component) do not exist between the other components.

As used in this document, the expression "configured to" means "suitable for," "having the capacity to," depending on the circumstances. ," "designed to," "adapted to," "made to," or "capable of." The term "configured (or set) to" may not necessarily mean only "specifically designed to" hardware. Instead, in some contexts, the phrase "device configured to" may mean that the device is "capable of" in conjunction with other devices or components. For example, the phrase "a processor configured (or configured) to perform A, B, and C" may include a dedicated processor (e.g., embedded processor) to perform those operations, or by executing one or more software programs stored in a memory device. , may mean a general-purpose processor (eg, CPU or application processor) capable of performing corresponding operations.

Terms used in this document are only used to describe a specific embodiment, and may not be intended to limit the scope of other embodiments. Singular expressions may include plural expressions unless the context clearly dictates otherwise. Terms used herein, including technical or scientific terms, may have the same meaning as commonly understood by a person of ordinary skill in the art described in this document. Among the terms used in this document, terms defined in a general dictionary may be interpreted as having the same or similar meaning as the meaning in the context of the related art, and unless explicitly defined in this document, an ideal or excessively formal meaning. not be interpreted as In some cases, even terms defined in this document cannot be interpreted to exclude the embodiments of this document.

Each feature of the various embodiments of the present invention can be partially or entirely combined or combined with each other, and as those skilled in the art can fully understand, various interlocking and driving operations are possible, and each embodiment can be implemented independently of each other. It may be possible to implement together in an association relationship.

For clarity of interpretation of this specification, terms used in this specification will be defined below.

1 and 2 are schematic diagrams showing the configuration of a smart factory support system in a manufacturing site according to an embodiment of the present invention.

Referring to FIGS. 1 and 2 , a smart factory support system 10 at a manufacturing site may include a manufacturing site device 100 and a smart factory support server 200 .

The manufacturing site device 100 may be disposed at each manufacturing site to collect manufacturing data. Depending on the embodiment, the manufacturing site device 100 is a manufacturing site server 100a that monitors and controls various facilities in the manufacturing site and automatically performs site control functions for managing product quality, or a site manager that directly performs the site control function. It may be the terminal 100b.

The manufacturing site device 100 can acquire various industrial data such as manufacturing data and quality data in real time from process facilities (not shown), and can obtain various data used to derive key performance indicators (KPIs, Key Performance Indicators). can

The manufacturing site device 100 may receive a site-customized service system from the smart factory support server 200 and monitor industrial data and key performance indicators. Here, the site customized service system may be an application or program for monitoring and controlling a manufacturing site.

The site manager terminal 100b is a terminal possessed by a manager managing a manufacturing site, and may include various types of electronic devices capable of obtaining various data and transmitting them to the smart factory support server 200 . For example, the site manager terminal 100b may be a smart phone, PC, or tablet PC.

The smart factory support server 200 may provide a field-customized service system to a plurality of manufacturing site devices 100 based on cloud-Kubernetes. To this end, the smart factory support server 200 may include a proxy server 200a, an ontology construction server 200b, a service server 200c, and a database 200d.

The proxy server 200a may relay at least one device 100 among a plurality of manufacturing site devices 100 and the service server 200c. In addition, the proxy server 200a may relay access to the ontology construction server 200b and the database 200d of the manufacturing site device 100 in addition to the service server 200c. In this case, the manufacturing site device 100 may jointly utilize data used in manufacturing sites other than its own manufacturing site.

The ontology construction server 200b may classify and store manufacturing data received from the plurality of manufacturing site devices 100 and data for each item in the manufacturing site. Specifically, the ontology construction server 200b may define and store necessary items according to manufacturing products, industrial groups, site scales, and the like. For example, the ontology construction server 200b may store data on items of production, quality, process, and energy.

The service server 200c may provide solutions (services) available at the manufacturing site. For example, the service server 200c may provide a service capable of managing key performance indicators (KPIs) to the manufacturing site device 100, and in addition to this, facility status monitoring, abnormal cause analysis, inventory shortage cause analysis service, etc. may be provided as the manufacturing site device 100.

The database 200d may store various data collected from the plurality of manufacturing site devices 100 . Depending on the embodiment, the database 200d may be the memory 220 of the smart factory support server 200, which will be described later, or may be built as a separate server.

So far, the smart factory support system 10 according to an embodiment of the present invention has been described. According to the present invention, through the smart factory support server 200, the manufacturing site device 100 can manage key performance indicators of the manufacturing site through several interface manipulations even through a low-specification device, and can monitor the manufacturing site. can

Hereinafter, the configuration of the smart factory support server 200 providing these functions will be described in more detail.

3 is a block diagram showing the configuration of a smart factory support server according to an embodiment of the present invention.

Referring to FIG. 3, the smart factory support server 200 may include a communication interface 210, a memory 220, an I/O interface 230, and a processor 240, each of which includes one or more communication buses. Alternatively, they may communicate with each other through signal lines.

The communication interface 210 may be connected to a plurality of manufacturing site devices 100 through a wired/wireless communication network to exchange data. For example, the communication interface 210 transmits unstructured data such as text and images, variable data such as process conditions, high-dimensional data due to the use of multiple sensors, and diversified data due to diversification of sensing and sampling from the manufacturing site device 100. It can receive, and it can transmit a field customized service system (application, program, etc.) to the manufacturing site device 100 .

On the other hand, the communication interface 210 enabling transmission and reception of such data includes a communication pod 211 and a wireless circuit 211, where the wired communication port 211 is one or more wired interfaces, for example, Ethernet, This may include Universal Serial Bus (USB), FireWire, and the like. Also, the wireless circuit 212 may transmit/receive data with an external device through an RF signal or an optical signal. In addition, wireless communication may use at least one of a plurality of communication standards, protocols and technologies, such as GSM, EDGE, CDMA, TDMA, Bluetooth, Wi-Fi, VoIP, Wi-MAX, or any other suitable communication protocol.

The memory 220 may store various data used in the smart factory support server 200 . For example, the memory 220 may store unstructured data such as text and images for each site, variability data such as process conditions, high-dimensional data according to the use of multiple sensors, diversified data according to sensing and sampling diversification, and the like. It can be classified and stored according to manufacturing product, industry group, site size, etc.

In various embodiments, the memory 220 may include volatile or non-volatile recording media capable of storing various data, commands, and information. For example, the memory 220 may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg SD or XD memory, etc.), RAM, SRAM, ROM, EEPROM, PROM, network storage storage , Cloud, and a blockchain database may include at least one type of storage medium.

In various embodiments, the memory 220 may store configurations of at least one of the operating system 221 , the communication module 222 , the user interface module 223 , and one or more applications 224 .

Operating system 221 (e.g. embedded operating systems such as LINUX, UNIX, MAC OS, WINDOWS, VxWorks, etc.) is a variety of software for controlling and managing general system tasks (e.g. memory management, storage device control, power management, etc.) components and drivers, and may support communication between various hardware, firmware, and software components.

The communication module 223 may support communication with other devices through the communication interface 210 . The communication module 220 may include various software components for processing data received by the wired communication port 211 or the wireless circuit 212 of the communication interface 210 .

The user interface module 223 may receive a user's request or input from a keyboard, touch screen, microphone, etc. through the I/O interface 230 and provide a user interface on a display.

Applications 224 may include programs or modules configured to be executed by one or more processors 230 . Here, an application for providing site management and monitoring services for each manufacturing site may be implemented on a server farm.

The I/O interface 230 may connect at least one of an input/output device (not shown) of the smart factory support server 200, for example, a display, a keyboard, a touch screen, and a microphone, to the user interface module 223. The I/O interface 230 may receive user input (eg, voice input, keyboard input, touch input, etc.) together with the user interface module 223 and process a command according to the received input.

The processor 240 is connected to the communication interface 210, the memory 220, and the I/O interface 230 to control the overall operation of the smart factory support server 200, and applications stored in the memory 220 or Through the program, various commands for providing services available in the field for each manufacturing site device 100 in a cloud-Kubernetes-based system can be executed.

The processor 240 may correspond to an arithmetic device such as a central processing unit (CPU) or an application processor (AP). In addition, the processor 240 may be implemented in the form of an integrated chip (IC) such as a System on Chip (SoC) in which various computing devices are integrated. Alternatively, the processor 240 may include a module for calculating an artificial neural network model, such as a Neural Processing Unit (NPU).

So far, the smart factory support server 200 according to an embodiment of the present invention has been described, and hereinafter, the concept of the smart HACCP system will be described with reference to FIGS. 5 to 11.

4 to 11 are schematic diagrams for explaining the concept of a smart factory support system according to an embodiment of the present invention.

Referring to FIG. 4 , the smart factory support system 10 may build and store a manufacturing-specific library in the ontology building server 200b. Specifically, the smart factory support system 10 includes unstructured data such as text and images collected from the manufacturing site device 100, variability data such as process conditions, high-dimensional data according to the use of multiple sensors, sensing, and sampling according to diversification. A manufacturing-specific library can be built by integrating and preprocessing diversified data and applying it to a data mining model.

The smart factory support system 10 may provide services such as quality monitoring, defect cause tracking, quality prediction, facility life management, and process time prediction to the manufacturing site device 10 based on the manufacturing-specific library.

As shown in FIG. 5 , the smart factory support system 10 may provide various types of services that can be provided through the service server 200c to the manufacturing site device 100 . That is, the manufacturing site device 100 may be provided with various management and maintenance services simply by providing data collected in the field.

Referring to FIG. 6 , the smart factory support system 10 may provide a cloud-based open manufacturing big data platform. Specifically, the smart factory support system 10 can analyze the manufacturing environment for each manufacturing site, and can process large amounts of data based on standard OPC-UA. In addition, the smart factory support system 10 may provide a cloud platform for data collection and processing, and a system for integrated data monitoring.

Referring to FIG. 7 , the smart factory support system 10 may determine priorities according to requirements and infrastructure configuration for each manufacturing site and analyze the manufacturing environment in order to process large amounts of data based on standard OPC-UA. . In addition, the smart factory support system 10 may design an architecture that is easy to manage and provide it to the manufacturing site device 100, and may provide batch processing, real-time processing, and RDBMS processing services.

Referring to FIG. 8 , the smart factory support system 10 may design the following redundant architecture platform to provide a cloud platform for data collection and processing. Specifically, the smart factory support system 10 may implement a cloud-based big data virtualization system and perform a caching function to improve the access speed of big data streaming analysis results.

Referring to FIG. 9 , the smart factory support system 10 may implement a manufacturing data-based platform as follows to provide an open cloud service applicable to manufacturing sites. In addition, as shown in FIG. 10 , the smart factory support system 10 may provide PaaS and SaaS-based statistical services to the manufacturing site device 100 . Specifically, the smart factory support system 10 may provide an open cloud service to a plurality of manufacturing site devices 100 through a multitenancy architecture.

Referring to FIG. 11 , the smart factory support system 10 may provide a cloud service that can jointly utilize a vast amount of manufacturing data collected from a plurality of manufacturing site devices 100 .

Although one embodiment of the present invention has been described in more detail with reference to the accompanying drawings, the present invention is not necessarily limited to these embodiments, and may be variously modified and implemented without departing from the technical spirit of the present invention. there is. Therefore, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention, but to explain, and the scope of the technical idea of the present invention is not limited by these embodiments. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The protection scope of the present invention should be construed according to the claims below, and all technical ideas within the equivalent range should be construed as being included in the scope of the present invention.

10: Smart factory support system
100: manufacturing site device
100a: field server 100b: field manager terminal
200: smart factory support server
200a: proxy server 200b: ontology construction server
200c: service server 200d: database
210: communication interface
211 wired communication port 212 wireless circuit
220: memory
221: operating system 222: communication module
223 user interface module 224 application
230: I/O interface 240: processor

Claims (1)

A plurality of manufacturing site devices disposed at each manufacturing site to monitor the manufacturing site; and
A cloud-based smart factory support server providing a service for utilizing data for each manufacturing site with the plurality of manufacturing site devices; including,
The smart factory support server,
A service server that provides services available at the manufacturing site;
A proxy server relaying between at least one of the plurality of manufacturing site devices and the service server; and
A manufacturing site smart factory support system including an ontology construction server for classifying and storing manufacturing data received from the plurality of manufacturing site devices and data for each item in the manufacturing site.

Images