KR20180000997A - Real-time industrial storaging system and storaging method utilizing hmi and big data technology - Google Patents

Abstract

According to the present invention, provided is a large capacity industrial data real-time storage system which utilizes HMI and big data technology. The industrial data real-time storage system includes an HMI device and a DB cloud device. The HMI device includes: a collection unit which collects sensing data transmitted from a PLC device included to transmit and receive the sensing data from at least one sensing device included in industrial equipment; a memory unit which stores the sensing data collected in the collection unit; a calculation unit which generates conversion data by converting the sensing data by a preset calculation process; and a transmission unit which transmits the conversion data converted by the calculation unit. The DB cloud device includes: a reception unit which receives the conversion data from the transmission unit; a reception memory unit which stores the collected conversion data; an integration unit which generates integrated data by integrating the conversion data stored in the reception memory unit; an integration memory unit which stores the integrated data; and a service unit which provides data stored in the integrated memory unit according to the request of a client. The DB cloud device respectively includes a plurality of reception units and a plurality of reception memory units. The conversion data is stored to be distributed to the plurality of reception memory units through the plurality of reception units. The present invention is able to collect and store data while minimizing data loss.

Description

REAL-TIME INDUSTRIAL STORAGING SYSTEM AND STORAGING METHOD UTILIZING HMI AND BIG DATA TECHNOLOGY USING HMI AND BIG DATA TECHNOLOGY

The present invention relates to a data storage system and a storage method, and more particularly, to a large-capacity industrial data real-time storage system and a storage method using an HMI and a big data technology.

Data measured from an industrial facility is collected through a measurement sensor installed in various facilities that the user desires to measure. At this time, the data production performance can be controlled according to the measurement method or the sensing period of the sensor.

The HMI (Human Machine Interface) collects facility data of an industrial site, and it functions as a function of inquiring and processing the operation state of the facility. It analyzes the state of the site by analyzing collected data, This is a representative data collection system that plays a role to support the use of the part. Traditionally, a relational database management system is used to load data collected through an HMI.

Data can be generated in real-time or indefinitely according to the method of measuring the facility data of the industrial field. There is a limit of data that can be stored in a system composed of existing HMI and RDBMS. The system needs to select only important data in accordance with the performance that can be stored, to reduce the amount of stored data by forcibly dropping the low-weighted data, or to extend the storage period. Therefore, loss of acquired data occurs. Even if expensive hardware equipment is introduced, there is no significant difference due to the limitations of the system configuration.

On the other hand, in various fields of society as a whole, work to reproduce the value of data is actively carried out by archiving and discarding existing discarded data. Therefore, in addition to the data produced from industrial facilities, there is a need for a method of collecting and storing collected data without missing, in order to utilize various fields of data that are discarded due to missing or excess capacity.

According to an embodiment of the present invention, there is provided a system and method for storing large-capacity industrial data using an HMI and a BIG data technology, the method comprising the steps of: To minimize the loss of data and to collect and store the data so that the collected data can be utilized effectively and invaluable for the analysis of the phenomena of industrial facilities and society as a whole.

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

According to an aspect of the present invention, there is provided a real-time storage system for large-scale industrial data, which comprises a sensing device for sensing data transmitted from a PLC device capable of transmitting and receiving sensing data from at least one sensing device provided in an industrial facility, A memory unit for storing the sensing data collected in the collecting unit, an operation unit for converting the sensing data by a predetermined calculation process to generate conversion data, and a transmission unit for transmitting the conversion data converted by the operation unit A reception unit for receiving the conversion data from the transmission unit; a reception memory unit for storing the collected conversion data; an integration unit for integrating the conversion data stored in the reception memory unit to generate integrated data; An integrated memory unit for storing data, And a service unit for providing data stored in the integrated memory unit in response to a request from the DB cloud device, wherein the DB cloud device includes a plurality of receiving units and a plurality of receiving memory units, And is distributed and stored in the plurality of reception memory units through the reception unit.

The transmitting unit may be connectable to the plurality of receiving units at the same time.

Also, the transmitting unit may distribute the converted data at predetermined intervals and transmit the distributed data to the plurality of receiving units.

In addition, the sizes of the transform data transmitted and dispersed in the plurality of receiving units may be the same.

In addition, the collecting unit of the HMI device may transmit a sensing data request signal to the PLC device according to a preset cycle.

According to another aspect of the present invention, the HMI device collects sensing data transmitted from a PLC device capable of transmitting and receiving sensing data from at least one sensing device provided in an industrial facility through a collecting unit A sensing unit for sensing the sensing data collected in the collecting unit through a memory unit, generating at least one conversion data by a predetermined calculation process through an operation unit, and outputting at least one conversion data through the transmission unit, To-be-transmitted data; And the DB cloud device receives the converted data from the transmitting unit through the receiving unit, stores the collected converted data through the receiving memory unit, integrates the converted data collected from the receiving unit through the unifying unit, Storing the integrated data through an integrated memory unit and providing data stored in the integrated memory unit according to a request from a client through a service unit; Wherein the DB cloud device includes a plurality of reception units and a plurality of reception memory units, and the conversion data is distributed and stored in the plurality of reception memory units via the plurality of reception units.

The large-capacity industrial data real-time storage system and the storage method utilizing the HMI and the big data technology according to the embodiment of the present invention are used to collect data of the existing HMI so that the collected data can be utilized effectively and advantageously The data can be collected and stored by minimizing the loss of data by dramatically increasing the capacity of data that can be stored per unit time as compared with the collection performance.

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

FIG. 1 is a first conceptual diagram showing a large-capacity industrial data real-time storage system, a PLC device, and a client using an HMI and a big data technology according to an embodiment of the present invention.
2 is a system block diagram of an HMI device of a large-capacity industrial data real-time storage system utilizing an HMI and a big data technology according to an embodiment of the present invention.
3 is a system block diagram of a DB cloud device of a large-capacity industrial data real-time storage system utilizing an HMI and a Big Data technology according to an embodiment of the present invention.
FIG. 4 is a second conceptual diagram illustrating a large-capacity industrial data real-time storage system, a PLC device, and a client using the HMI and the Big Data technology according to the embodiment of the present invention.
5 is a flowchart illustrating a method for real-time storage of mass industrial data according to an embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The above and other objects, features and advantages of the present invention will be more apparent from the following detailed description taken in conjunction with the accompanying drawings, in which: FIG. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. Hereinafter, the terms are defined in consideration of donation in the present invention, which may vary depending on the intention of the user, the intention or the custom of the operator.

However, the present invention is not limited to the embodiments described below, but may be embodied in various forms. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art to which the present invention pertains. Only. Therefore, the definition should be based on the contents throughout this specification.

Throughout the specification, when an element is referred to as being "comprising" or "comprising" an element, it is understood that the element may include other elements, not the exclusion of any other element . In addition, terms such as "... unit", "... device", "... device", "... part" or "... module" Means a unit for processing, which may be implemented by hardware, software, or a combination of hardware and software.

In the exemplary embodiment of the present invention, each component, function block or means may be composed of one or more sub-components, and the electrical, electronic, and mechanical functions performed by the components may be electronic circuits, An integrated circuit, an ASIC (Application Specific Integrated Circuit), or the like, or may be implemented separately or two or more may be integrated into one.

Also, each block of the accompanying block diagrams and combinations of the steps of the flowcharts may be performed by computer program instructions. These computer program instructions may be embedded in a processor of a general purpose computer, a special purpose computer, a portable notebook computer, a network computer, a mobile device such as a smart phone, an on-line game service provision server or other programmable data processing equipment, Those instructions, which are performed through the processor of the data processing equipment as possible, will create means for performing the functions described in each block or flowchart of the block diagrams described below. These computer program instructions may also be stored in a memory or computer readable memory available to a computer device capable of directing a computer device or other programmable data processing equipment to implement the functionality in a particular manner, It is also possible to produce products containing instruction means for performing the functions described in the respective steps of the flowcharts. It will be appreciated that computer program instructions may be loaded onto a computer device or other programmable data processing equipment so that a process for performing a series of operating steps on a computer device or other programmable data processing equipment may be created to determine each block and flowchart of the block diagram It is also possible to provide steps for executing the functions described in each step of Fig.

Also, each block or each step may represent a module, segment, or portion of code that includes one or more executable instructions for executing the specified logical function (s). It should also be noted that in some alternative embodiments, the functions mentioned in the blocks or steps may occur out of order. For example, two blocks or steps shown in succession may in fact be performed substantially concurrently, or the blocks or steps may sometimes be performed in reverse order according to the corresponding function.

In the embodiment of the present invention, the client or various devices include all calculation means capable of collecting, reading, processing, processing, storing, and displaying data such as a desktop computer, a notebook computer, a smart phone, a PDA, . In particular, the client or various devices in the embodiment of the present invention can execute software written in a readable code, and can display and transmit the software to a user. In addition, the software may be stored on its own if necessary, or may be read with data from outside.

The client or various devices in the embodiment of the present invention include functions such as input, output, and storage as well as the above-described data processing functions. For this purpose, a CPU, a main board, a graphics card, A CPU, a main board, a graphic chip, a memory chip, a sound engine, a speaker, a touch pad, a speaker, a speaker, a keyboard, a mouse, a monitor, a USB, a communication modem, An external connection terminal such as a USB, a communication antenna, a communication modem capable of implementing communication such as 3G, LTE, LTE-A, WiFi, Bluetooth, and the like. It is to be understood that these various elements may be used singly or in combination of two or more, or a combination of the various elements may implement one or more functions, and may be embodied in one or more blocks in the drawings or in the description And parts thereof may mean that the various elements included in the client or the various devices as described above may be singly or two or more together, or a combination of various elements may represent one or more functions.

In a relational database management system (RDBMS), a programmable logic controller (PLC) receives a signal from various sensors and sends a signal to a controller, so that the robot operates as specified by a person HMI (Human Machine Interface) devices can refer to the interface between the world of human analogue perception connected with vision or hearing and the world of machines that process digital or computer communication.

Hereinafter, a large-capacity industrial data real-time storage system utilizing an HMI and a big data technology according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a first conceptual diagram showing a large-capacity industrial data real-time storage system, a PLC device 10 and a client 20 using an HMI and a big data technology according to an embodiment of the present invention. The HMI device 100 can be communicably connected to the PLC device 10 and the DB cloud device 110. [ The DB cloud device 110 may be communicably coupled to the HMI device 100 and the client 20.

2 is a system block diagram of an HMI device 100 of a large-capacity industrial data real-time storage system utilizing an HMI and a big data technology according to an embodiment of the present invention. 2, the HMI device 100 includes a collecting unit 101, a memory unit 102, an operation unit 103, and a transfer unit 104.

The collecting unit 101 may collect the sensing data transmitted from the PLC device 10, which can transmit and receive the sensing data from at least one sensing device provided in the industrial facility. The memory unit 102 may store the sensing data transmitted from the sensing device. The stored sensing data is generated as conversion data by the operation unit 103. At this time, the arithmetic operation unit 103 can generate the converted data obtained by converting the sensing data at a high speed by using a predetermined arithmetic process that can be specifically combined with the sensing device. The transmitting unit 104 is provided to transmit the converted data converted by the computing unit 103 and the converted data transmitted from the transmitting unit 104 is received by the receiving unit 111 of the DB cloud device 110 , And the conversion data may be stored in the reception memory unit 113. [ Hereinafter, the DB cloud device 110 will be described in detail with reference to FIG.

FIG. 3 is a system block diagram of a DB cloud device 110 of a large-capacity industrial data real-time storage system utilizing an HMI and a big data technology according to an embodiment of the present invention. 3, the DB cloud device 110 includes a receiving unit 111, a receiving memory unit 113, an integrating unit 112, an integrated memory unit 114, and a service unit 115. As described above, the receiving unit 111 and the receiving memory unit 113 may be provided to receive and store the converted data received from the HMI device 100. [ The integrating unit 112 can integrate the conversion data stored in the reception memory unit 113 to generate integrated data.

The DB cloud device 110 includes a plurality of reception units 111 and a plurality of reception memory units 113 and the conversion data is transmitted to the plurality of reception memory units 113 through the plurality of reception units 111 May be dispersed and stored. The transmission unit 104 may be connected to the plurality of reception units 111 at the same time. The transmitting unit 104 may be configured to transmit the converted data to the plurality of receiving units 111 in real time so that the converted data is stored in the plurality of receiving memory units 113. Therefore, Lt; / RTI >

In addition, the sizes of the transform data transmitted and dispersed in the plurality of receiving units 111 may be the same. In the large-capacity industrial data real-time storage system utilizing the HMI and the big data technology according to the embodiment of the present invention, for example, the size of the converted data transmitted from the transmission unit 104 is about 100 megabytes, 111 and the reception data part are each composed of five, a data capacity of the same size, that is, about 20 MB of data is transmitted to each reception part 111 and divided into five reception data parts, It is possible to store the collected data at a high speed.

Since the receiving unit 111 and the receiving memory unit 113 can be processed through respective independent processes, the load on the system can be reduced, so that the receiving and storing of data can be performed at a high speed even with a system having a relatively low specification .

In addition, the transmitting unit 104 may transmit the converted data to the plurality of receiving units 111 at predetermined intervals. The integration unit 112 may be provided to generate a plurality of conversion data stored in the reception memory unit 113 in the form of one integrated data. For example, when the amount of sensing data transmitted from the sensing device sharply decreases, or when the load of the capacity industrial data real-time storage system according to the embodiment of the present invention is reduced, Can be distributed and transmitted to the plurality of receiving units 111, so that data collection and integration work can be divided and performed.

The collecting unit 101 of the HMI device 100 may transmit a sensing data request signal to the PLC device 10 according to a preset cycle. For example, it is possible to distinguish a specific time period or a specific period of time during which the PLC device 10 operates or does not operate so as to request the sensing data, thereby preventing unnecessary work from being performed.

As described above, the integrated memory unit 114 stores the integrated data generated while the system is not under load. Since the amount of data is large, the integrated memory unit 114 is also connected to the integrated unit 112 and / It is desirable that data is stored while the device 10 is not operating.

The service unit 115 of the DB cloud device 110 may be provided to provide the integrated data stored in the integrated memory unit 114 in a form desired by the client 20. FIG. 4 is a second conceptual diagram showing a large-capacity industrial data real-time storage system, a PLC device 10 and a client 20 using an HMI and a big data technology according to an embodiment of the present invention. Referring to FIG. 4, the DB cloud device 110 may include a plurality of low-end servers. The HMI device 100 and the DB cloud device 110 can mutually network through the DB collection network 30, the DB integrated network 40, and the OA network 50.

Hereinafter, a method for real-time storage of large capacity industrial data according to another embodiment of the present invention will be described. 5 is a flowchart illustrating a method for real-time storage of mass industrial data according to an embodiment of the present invention.

Referring to FIG. 5, the HMI device 100 transmits the sensing data transmitted from the PLC device 10, which is capable of transmitting and receiving the sensing data from at least one sensing device provided in the industrial facility through the collecting section 101, Stores the sensing data collected in the collecting unit 101 through the memory unit 102 and transmits the sensing data through the operation unit 103 to at least one of the converted data Can be generated. And transmits at least one conversion data converted by the operation unit 103 through the transmission unit 104 (S210). As described above, since the independent calculation process optimized according to the type of the sensing data or the like can be applied to the preset calculation process, the sensing data can be efficiently converted.

3, the DB cloud device 110 includes a plurality of reception units 111 and a plurality of reception memory units 113, and the conversion data is transmitted to the plurality of reception memories 111 through the plurality of reception units 111, (113). The DB cloud device 110 receives the conversion data from the transmission unit 104 through the plurality of reception units 111 and the reception memory unit and stores the collected conversion data through the reception memory unit 113. [ Since the integration unit 112 is directly connected to the reception memory unit 113, the integration unit 112 integrates the conversion data collected from the reception unit 111 to generate integrated data, and the integrated memory unit 114 And stores the integrated data in the integrated memory unit 102 and provides the data stored in the integrated memory unit 102 in response to a request from the client 20 through the service unit 115 in operation S220. The service unit 115 is configured to provide processed data in response to a request from the client 20 or in accordance with a predetermined data output method.

Although the present invention has been described with reference to preferred embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, It is not intended to limit the scope. It is to be understood by those skilled in the art that other modifications based on the technical idea of the present invention are possible in addition to the embodiments disclosed herein.

10: PLC device
20: Client
30: DB collection network
40: DB Integration Network
50: OA network
100: HMI device
101: collecting unit 102: memory unit
103: Operation unit 104:
110: DB cloud device
111: Receiving unit 112:
113: receiving memory unit 114: integrated memory unit
115: Service Department

Claims (10)

In an industrial data real time storage system,
The storage system comprising:
A collecting unit for collecting sensing data transmitted from a PLC device capable of transmitting and receiving sensing data from at least one sensing device provided in an industrial facility, a memory unit for storing sensing data collected in the collecting unit, An HMI device including an operation unit for converting the image data by a predetermined arithmetic process to generate converted data, and a transfer unit for transferring the converted data by the operation unit; And
A receiving unit for receiving the converted data from the transmitting unit, a receiving memory unit for storing the collected converted data, an integrated unit for combining the converted data stored in the receiving memory unit to generate integrated data, And a service unit for providing data stored in the integrated memory unit in response to a request from the client,
Wherein the DB cloud device includes a plurality of reception units and a plurality of reception memory units, and the conversion data is distributed and stored in the plurality of reception memory units via the plurality of reception units.
Large-scale industrial data real-time storage system utilizing HMI and Big Data technology.
The method according to claim 1,
Wherein the transmitting unit is connectable to the plurality of receiving units at the same time,
Large-scale industrial data real-time storage system utilizing HMI and Big Data technology.
The method according to claim 1,
Wherein the transmitting unit distributes the converted data at predetermined intervals and transmits the distributed data to the plurality of receiving units.
Large-scale industrial data real-time storage system utilizing HMI and Big Data technology.
The method of claim 3,
Wherein the size of the transform data transmitted and dispersed in each of the plurality of receiving units is the same.
Large-scale industrial data real-time storage system utilizing HMI and Big Data technology.
The method according to claim 1,
Wherein the collecting unit of the HMI device transmits a sensing data request signal to the PLC device according to a preset cycle.
Large-scale industrial data real-time storage system utilizing HMI and Big Data technology.
A method for real-time industrial data storage,
The storage method includes:
The HMI device collects the sensing data transmitted from the PLC device which is capable of transmitting and receiving the sensing data from at least one sensing device provided in the industrial facility through the collecting section and stores the sensing data collected in the collecting section through the memory section Generating at least one conversion data by a predetermined calculation process through the operation unit and transmitting at least one conversion data converted by the operation unit through the transmission unit; And
The DB cloud device receives the conversion data from the transmission unit through the reception unit, stores the collected conversion data through the reception memory unit, integrates the conversion data collected from the reception unit through the integration unit to generate integrated data, Storing the integrated data through a memory unit and providing data stored in the integrated memory unit according to a request from a client through a service unit; Lt; / RTI >
Wherein the DB cloud device includes a plurality of reception units and a plurality of reception memory units, and the conversion data is distributed and stored in the plurality of reception memory units via the plurality of reception units.
A method for real - time storage of large - capacity industrial data.
The method according to claim 6,
Wherein the transmitting unit is connectable to the plurality of receiving units at the same time,
A method for real - time storage of large - capacity industrial data.
The method according to claim 6,
Wherein the transmitting unit distributes the converted data at predetermined intervals and transmits the distributed data to the plurality of receiving units.
A method for real - time storage of large - capacity industrial data.
9. The method of claim 8,
Wherein the size of the transform data transmitted and dispersed in each of the plurality of receiving units is the same.
A method for real - time storage of large - capacity industrial data.
The method according to claim 6,
Wherein the collecting unit of the HMI device transmits a sensing data request signal to the PLC device according to a preset cycle.
A method for real - time storage of large - capacity industrial data.

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