KR20220161753A - Apparatus for controlling and acquiring employing smart factory in assembling/manufacturing processing industry - Google Patents

Abstract

An embodiment relates to a data collection and control device for a smart factory of an assembly processing manufacturing industry. Specifically, the data collection and control device for a smart factory of an assembly processing manufacturing industry is basically composed of a data collection device and a data control device in case of monitoring various facilities related to the assembly processing manufacturing industry such that the data collection and control device has a small size and is easy to be installed. And, the data collection and control device processes data collection and analysis in one device such that, even if data increases, the data can be processed and controlled in a short time. In addition, the data can be collected by easily connecting various external signals, for example, sensor (state) signals and manufacturing signals. And, in the case, external output signals are easily connected to, for example, the control signals of various facilities to be controlled. In addition, the data collection and control device implements a device which quickly processes the data and enhances security according to circumstances.

Description

Apparatus for controlling and acquiring employing smart factory in assembling/manufacturing processing industry}

Disclosed herein relates to a technology that collects and analyzes various manufacturing data and sensor data generated at assembly and processing manufacturing sites to increase productivity and increase efficiency in various factory automation systems based on the analysis results. .

Unless otherwise indicated herein, material described in this section is not prior art to the claims in this application, and inclusion in this section is not an admission that it is prior art.

In general, when facilities are monitored in a smart factory of the assembly manufacturing industry, a data collection device plays a role in reading data from various information sources such as sensors and linking devices and transmitting the data to a central control device.

And, the data control device serves to send a signal for control to an object to be controlled based on the result analyzed by the analysis device. And, the data control device transmits, for example, a speed control signal of a motor and a control signal of an air conditioner.

However, DAQ, which is a major existing device, has components based on hardware, and data analysis and processing functions are processed in conjunction with external devices, so signal transmission time is long and analysis of various signals is difficult. .

In addition, data to be collected and processed in the factory continues to increase, especially in the case of the assembly manufacturing industry, more and more work is being done compared to other industries. In addition, the amount of data to be received is increasing, the amount of data to be controlled is increasing, and the need for fast processing is increasing.

On the other hand, in addition to this, the demand for security such as data encryption is increasing, and the encryption method using existing software has difficulty in solving the amount and speed.

The prior art that is the background is as follows.

(Patent Document 1) KR102102591 Y1

(Patent Document 2) KR101929742 Y1

For reference, the technology of Patent Document 1 relates to an operating method for implementing a smart factory that monitors a production process according to a verification process based on an error process.

In addition, the technology of Patent Document 2 is about a smart factory system capable of designing an optimal system because it is possible to determine the reliability of the working time according to each process transmitted by wired or wireless communication and to check the communication method suitable for the process.

The disclosed content, when monitoring facilities in a smart factory of the assembly manufacturing industry, by integrating and processing A / D input signals from sensor devices related to each facility, individually collectively controlling the equipment to be controlled, wiring is It is intended to provide a data collection and control device for smart factories in the assembly and processing manufacturing industry that is simple and small in size and easy to install.

And, in this case, various standard data, which are difficult to integrate and process due to various communication standards, are simply connected from the outside and processed internally.

In addition, it enables the implementation of smart factory service development tools for production field workers to design and manufacture smart factory services and to share and utilize them with related workers.

The data collection and control device for smart factories in the assembly manufacturing industry according to the embodiment,

When monitoring facilities in a smart factory of the assembly manufacturing industry, analog and digital input signals from sensor devices related to each facility are collectively collected and processed to collectively control the equipment to be controlled individually.

Thus, this provides a collection and control device with simple wiring and a small size that is simple to install.

In addition, a collection and control device that processes internally by simply connecting various standard data that is difficult to integrate and process due to various communication standards from the outside is also provided.

And, in this case, it is characterized by rapidly processing data and enhancing security according to the situation.

In addition to this, it is characterized by providing smart factory service development tools to design and manufacture smart factory services, and share them with related workers.

According to the embodiments, the data collection and control device for a smart factory in the assembly manufacturing industry basically consists of a data collection device and a data control device in one size when monitoring various facilities related to the assembly manufacturing industry. Small and easy to install.

In addition, such a data collection and control device processes data collection and analysis in one device so that even if data increases, it can be processed and controlled quickly.

In addition, data can be collected by easily connecting various external signals, for example, sensor (state) signals and manufacturing signals. And, in this case, the external output signal is easily connected to, for example, the control signal of various equipment to be controlled.

In addition to this, the data collection and control device implements a device that quickly processes data and enhances security according to circumstances.

1 is a view for conceptually explaining a data collection and control device for a smart factory in an assembly manufacturing industry according to an embodiment.
Figure 2 is a view showing a system as a whole to which a data collection and control device for a smart factory in the assembly manufacturing industry according to an embodiment is applied
3 is a block diagram showing the configuration of a management information processing device according to an embodiment applied to the system of FIG. 2;
Figure 4 is a process flow diagram showing the operation of the data collection and control device for smart factory in the assembly manufacturing industry according to an embodiment in order

1 is a diagram for conceptually explaining a data collection and control device for a smart factory in an assembly manufacturing industry according to an embodiment.

As shown in FIG. 1, the data collection and control device for a smart factory in the assembly manufacturing industry according to an embodiment is basically a data collection device and a data control device when monitoring various facilities related to the assembly manufacturing industry. It is composed of one piece and its size is small, so it is easy to install.

In addition, such a data collection and control device processes data collection and analysis in one device so that even if data increases, it can be processed and controlled quickly.

In addition, data can be collected by easily connecting various external signals, for example, sensor (state) signals and manufacturing signals. And, in this case, the external output signal is easily connected to, for example, the control signal of various equipment to be controlled.

In addition to this, the data collection and control device implements a device that quickly processes data and enhances security according to circumstances.

So, the device according to an embodiment integrally collects sensor (state) data and manufacturing data for each of a plurality of different facilities in a smart factory of the assembly manufacturing industry, checks the current facility status based on this, and checks the various facilities accordingly. Individually control the operation of the device.

For example, it groups various data collection devices (including IoT sensors) connected to production facility machines at manufacturing sites by different facilities, and provides a function to utilize status data and manufacturing data collected from each device. .

In addition, in this case, the device according to an embodiment monitors whether or not the facility state is abnormal, provides the information to a remote or nearby management device through a network, and receives remote control through the management device to control the operation of the facility device. Adjust differently for each abnormal condition.

In addition, the device according to this embodiment implements a useful application service for a field worker based on this when facilities are monitored in a smart factory of the assembly manufacturing industry.

More specifically, it collects and stores sensor (state) data and manufacturing data from sensor devices, etc., and provides functions for field workers to create, register, share, and use service programs that utilize the stored data. For example, this function performs a service using data stored in a common platform in an application platform using a user interface and a library.

At this time, the application platform registers a resource on a common platform that collects sensor data or performs a user processing request for a registered resource. In addition, the common platform has a system internal data storage function, and expands functions such as file-based user services such as image viewer and video streaming.

On the other hand, in addition to this, in this case, the service type is expressed in the same way on a computer such as a mobile phone in the form of a mobile app that the worker has.

In addition, in order to produce a service using the sensor data and manufacturing data stored through the application management function in the worker terminal, components for visualization are used, and field workers directly modify and manufacture the components.

For example, these services are configured as a dashboard on the management screen to manage various manufacturing data collection status and various information on production facilities in the factory.

Therefore, through this, smart factory service development tools are created for workers to design and manufacture smart factory services, and to share and utilize them with related workers.

2 is a diagram showing a system applied to a data collection and control device for a smart factory in the assembly manufacturing industry according to an embodiment as a whole.

As shown in FIG. 2, the system according to an embodiment includes a plurality of sensor devices (110-1 to 130-2, etc.) installed for each of a plurality of different facilities in a smart factory, and each sensor device (110-110-2) through its own network. 1 to 130-2, etc.) and a management information processing device 200 connected therewith.

And, in this case, the system according to an embodiment further includes a user information processing device (including a PC) and a user terminal that control the operation of equipment through the management information processing device 200, for example, the operation of an air conditioner. do.

Also, in this case, the management information processing device 200 provides a wider service by linking an external linking agency, and at this time, the external linking agency is a breakdown repair center information processing device.

The plurality of sensor devices (110-1 to 130-2, etc.) senses sensor data and manufacturing data for each of a plurality of different facilities and provides them to the management information processing device 200.

The management information processing device 200 basically collects data sensed by the plurality of sensor devices (110-1 to 130-2, etc.) through its own network. In addition, the management information processing device 200 differently controls the operation of equipment for each equipment state according to the sensed data. Additionally, in this case, the private network includes, for example, a TCP/IP network, an LTE network, a wireless communication network, and the like.

In addition, this system allows an operator to directly create applications and components for monitoring and controlling facilities in the management information processing device 200 through a specific tool.

In this case, the tool provides a user environment and library for the development of smart factory services by the operator, so that the operator does not have to write a sensor device connection and control program to monitor and control information with a production tool and simple HTML code. .

In addition, the user information processing device receives a web-based facility control command from the management information processing device 200 . In addition, the user information processing device configures the function of configuring the program screen as a web service, and uses a web development interface with a worker's PC. In addition, in this case, a service for constructing a web screen from a web user interface and systematically generating an executable application by executing the web screen is included.

The user terminal receives an app-based facility control command from the management information processing device 200 . And, similar to the above, the user terminal configures the function constituting the program screen as an app service, and uses the app development interface as a worker's portable terminal. In addition, it includes a service for constructing an app screen from the app user interface and systematically generating an operable application by executing the app screen.

FIG. 3 is a block diagram showing the configuration of a management information processing device according to an embodiment applied to the system of FIG. 2 .

As shown in FIG. 2, the management information processing device 200 according to an embodiment includes a wired signal input unit 201, a wireless signal input unit 202, a wired signal output unit 203, and a wireless signal output unit 204. ), a first data conversion unit 205, a second data conversion unit 206, a network input/output unit 207 and a central processing unit 208.

Also, the management information processing device 200 further includes a security module 209 and a security selection unit 210 .

In addition to this, the management information processing device 200 includes an A/D module (not shown) and a D/A module (not shown).

The wired signal input unit 201 collectively collects state data of sensor devices for each wired data format for each of a plurality of different facilities within a smart factory for assembly processing manufacturing. For example, it is collectively collected by A/I, D/I, and serial communication format.

The wireless signal input unit 202 transmits state data of sensor devices for each of a plurality of different facilities, for example, production facilities, processing facilities, inspection facilities, etc., by wireless data format, for example, A / I, D / I, serial Batch collection by communication format.

The wired signal output unit 203 controls a control signal according to a plurality of different state data collected by the wired signal input unit 201 and the wireless signal input unit 202 for each type of wired signal, for example , air-conditioning equipment or ventilation equipment, etc. are individually distributed. At this time, the speed and strength of the equipment are differently controlled according to the state of the equipment. For example, these wired signal output units 203 are individually distributed for A/O, D/O, and serial communication formats.

The wireless signal output unit 204 individually distributes control signals according to a plurality of different state data collected by the wired/wireless signal input units 201 and 202 to equipment to be controlled by wireless signal type.

The A/D module (not shown) integrally converts the analog data of the wired/wireless signal input units 201 and 202 into digital.

The D/A module (not shown) integrally converts the digital data of the wired/wireless signal input units 201 and 202 into analog.

The first data conversion unit 205 converts a plurality of different state data collected by the wire/wireless signal input units 201 and 202 into preset central data for processing, that is, a data format processed by the central processing unit 208. convert to

The second data conversion unit 206 is configured to control a plurality of different control signals to be distributed to the wired/wireless signal input units 201 and 202 according to a signal transmission format preset for each equipment or equipment type. For example, conversion is performed differently for each communication method and data transmission method.

The network input/output unit 207 interfaces the state data and control information for each of the plurality of different facilities with the outside, for example, a server and a cloud or a worker's mobile terminal.

The central processing unit 208 generates different control signals for each facility state according to a plurality of different state data of the wired/wireless signal input units 201 and 202, and transmits the control signals through the wired/wireless signal output units 203 and 204. It is distributed for each facility to be controlled, and interworks with the registration management device through the network input/output unit 207. Additionally, the central processing unit performs functions of collecting and analyzing input signals and delivering the analyzed results to the outside and to the entire system. At this time, the central processing unit 208 is configured using a microprocessor and peripheral devices or industrial computers and includes software. In particular, hardware and software are configured to make data processing speed fast and flexible, and a structure suitable for applying machine learning is configured. Additionally, according to an embodiment, the central processing unit 208 includes the following components. a) In other words, the central processing unit 208 first configures the first library for applications, services, and control for the use of the plurality of different facilities into operating environments for each facility data characteristic type under an open common platform, and for each facility location and device. , Classify, including date, and register in advance. b) Then, based on the first library, an application and a component of a facility desired by the operator are directly created according to the user facility use information previously set by the management device. c) Therefore, by collecting the state data of the equipment desired by the operator through the applications and components created in this way, integrated monitoring is performed for each of a number of different equipment.

Under the control of the central processing unit 208, the security module 209 encrypts the state data and control information for each of the plurality of different facilities according to a first encryption format set in advance for each data transmission type. In this case, the security module 209 has hardware security means and software encryption means for security and encryption. For example, it is composed of means for encrypting software, means for encrypting hardware, means for encrypting with a combination thereof, means for defining encryption methods and data, and the like.

Under the control of the central processing unit 208, the security selection unit 210 selects general data output or security data output corresponding to each encryption format. At this time, the security selection unit 210 is composed of hardware or a combination of software, and there is a programmable IC as an example.

Figure 4 is a flow chart showing the operation of the data collection and control device for a smart factory in the assembly manufacturing industry according to an embodiment in order (see Fig. 3).

As shown in Figure 4, the data collection and control device of one embodiment, that is, the management information processing device 200, first, the state of the sensor device 100 for each of a plurality of different facilities in the assembly manufacturing smart factory in the wired signal input unit Data is collected in batches by wire data format.

In addition, the management information processing device 200 also collectively collects state data of sensor devices for each wireless data type for each of a plurality of different facilities in the wireless signal input unit.

Also, in this case, a plurality of different state data collected by the wire/wireless signal input unit is converted into preset central data for processing.

In this state, the device according to an embodiment generates different control signals for each facility state according to a plurality of different state data of the wired/wireless signal input unit, and distributes the control signal to each equipment device to be controlled through the wired/wireless signal output unit. do.

Then, the second data conversion unit converts these control signals differently according to a signal transmission format set in advance for each equipment to be controlled.

Therefore, the wired signal output unit distributes the converted information, that is, the control signal according to a plurality of different state data individually for each equipment to be controlled by the wired signal type.

In addition, the wireless signal output unit also distributes control signals according to a plurality of different state data individually for each equipment to be controlled for each wireless signal type.

On the other hand, in this case, the network input/output unit interfaces state data and control information for each of a plurality of different facilities with the outside, that is, a server and a cloud or a worker's mobile terminal.

And, when data and control signals are transmitted in this way, the security module encrypts the state data and control information for each of the plurality of different facilities according to a first encryption format preset for each data transmission type under the control of the central processing unit. do.

Additionally, at this time, the security selection unit selects a general data line or a security data line corresponding to each encryption format under the control of the central processing unit.

In addition, when the central processing unit monitors and controls these facilities, the management information processing device allows the operator to directly create applications and components for easy monitoring and control of various facilities through specific tools. .

Specifically, for example, the central processing unit performs the following operations.

a) In other words, first, the first library for application, service, and control for the use of a plurality of different facilities is configured as an operation environment by facility data characteristic type under an open common platform, and classified by facility location, device, and date, including Register in advance.

b) Therefore, based on the first library, an application and a component of a facility desired by the operator are directly created according to the user facility use information previously set by the management device.

c) Therefore, by collecting the state data of the equipment desired by the operator through the applications and components created in this way, integrated monitoring is performed for each of a number of different equipment.

Additionally, in this case the library consists of, for example:

First, these libraries are configured to use one or more computer programs (Java script, Java, etc.) that control sensors and actuators of each device related to manufacturing facilities. The library includes one or more classes describing methods used for such control, and is generated by combining these classes. At this time, the method is configured to perform a control operation for each characteristic and content of manufacturing data of different sensor devices.

Additionally, user-defined programs can be written using existing libraries.

As described above, in one embodiment, when monitoring facilities in a smart factory of the assembly manufacturing industry, analog and digital input signals from sensor devices related to each facility are collectively collected and processed to individually control equipment devices to be controlled. batch control with

Thus, this provides a collection and control device with simple wiring and a small size that is simple to install.

In addition, a collection and control device that processes internally by simply connecting various standard data that is difficult to integrate and process due to various communication standards from the outside is also provided.

And, in this case, data is processed quickly and security is strengthened according to the situation.

On the other hand, the data collection and control device 200 allows an operator to adjust communication for each facility through the above-described tool so that appropriate communication can be made for each facility made in various forms.

To this end, the central processing unit includes the following configuration.

a) First, the central processing unit configures and registers a second library responsible for communication functions for each of a plurality of different facilities according to different facility communication data characteristic types under an open common platform. Additionally, this library is made the same as the library type described above.

b) Based on the second library, applications and components are directly created according to communication information set in advance through the management device.

c) So, by communicating by the applications and components created in this way, integrated communication is achieved by a number of different facilities.

On the other hand, in this case, the data collection and control device 200 performs monitoring according to each smart factory service.

To this end, the central processing unit additionally includes the following configuration.

a) That is, a third library for a plurality of different smart factory services is integrated into a use environment for each facility data characteristic type and registered in advance.

b) Then, based on this third library, an execution program of a smart factory service desired by the worker is created according to the worker smart factory service information preset through the management device.

c) Therefore, the smart factory service including the integrated monitoring desired by the worker is performed by the execution program generated in this way and provided for each smart factory service.

On the other hand, this data collection and control device 200 also enables real-time monitoring and control for facilities and sharing with other workers.

a) To this end, the central processing unit differently creates, for each facility, an editor for creating applications for real-time monitoring and control for a plurality of different facilities and sharing them with other workers, and a tool for connecting one or more facilities to be controlled through the editor. Register in advance.

b) Then, the editor and the tool have a function of calling a component for expressing state data related to the facility device as a worker app service, and registering and using the component as an open API by a worker.

c) So, based on these editors and the above tools, an open platform is connected to form a smart factory service app and an executable file is created.

d) Thereby, real-time monitoring and control of equipment using these smart factory service apps.

On the other hand, as a form different from these, the data collection and control device 200 has different network specifications and system specifications, and includes the following configuration for light weight of data.

a) Specifically, when the state data, control signal, and control information are transmitted, the central processing unit compares the transmission specification of the facility desired by the operator with a preset standard transmission specification corresponding to the different data transmission types. .

b) As a result of the comparison, if the transmission specification of the facility desired by the worker is higher than the corresponding standard transmission specification, it is maintained, and if the transmission specification of the facility desired by the worker is lower than the corresponding standard transmission specification, encryption by the security module Allocates and initializes a buffer.

c) Next, an encryption key is generated through a preset master key.

d) Then, the corresponding state data or control signal or control information data is read.

e) Then, the length of the data read in this way is compared with the corresponding encryption and data length among preset encrypted data lengths corresponding to each data transmission type.

f) As a result of the comparison, if the data length is smaller than the corresponding encrypted data length, it is transmitted without encryption, and if it is larger, the frame is detected.

g) Then, the extension header reads the extension bit to check whether it exists.

h) As a result of the check, if there is an extension bit, the payload starting point offset is moved by the extension length.

i) Therefore, the frame, encryption key, and payload offset information are received as parameters, and the start of the payload of the frame is partially encrypted with a second encryption format preset for each data transmission type, as a lightweight protocol for low-performance equipment. to provide.

On the other hand, this data collection and control device 200 is a structure to which machine learning is applied, and this structure also performs the following operations.

Specifically, for example, the central processing unit first learns the required time and state data for each of a number of different facilities collected by the wired/wireless signal input unit in a time series and generates the following prediagnosis model, thereby determining whether or not the facility is abnormal. detect

In this case, the pre-diagnosis model is implemented as follows.

a) In other words, first, a learning model that learns three-dimensionally is defined by classifying state data by a number of different types of smart factories, facilities, and surrounding environments.

b) Then, a state data set is extracted according to the required time according to the time zone for each of these different types of smart factories, facilities, and surrounding environments.

c) Next, the state data set extracted in this way is attributed by reflecting a number of different facility locations, time zones, and surrounding environment types.

d) Therefore, based on this attributed information, state data properties are determined for each type of a number of different smart factories, facilities, and surrounding environments.

e) Then, the result determined in this way is normalized.

f) So, based on this information, a number of different smart factories, facilities, and normal facility conditions are set for each type of surrounding environment, and independent (normal facility status) and dependent (state data) variables for preliminary diagnosis of facility conditions are created. Set up.

g) Then, learning and training data are created with the set information.

h) Therefore, a machine learning-based learning model is created based on this information.

And, in this case, the central processing unit compares the current facility state with the normal facility state of the pre-diagnosis model, for example, when the equipment abnormality is detected, and if the difference value is greater than the preset reference difference value, It is determined that there is a facility failure.

100: sensor device
200: management information processing device

Claims (6)

A wired signal input unit that collectively collects state data of sensor devices for each wired data format for each of a plurality of different facilities in an assembly processing manufacturing smart factory;
a wireless signal input unit for collectively collecting state data of sensor devices for each of the plurality of different facilities by wireless data format;
an A/D module that integrates and converts the analog data of the wired/wireless signal input unit into digital;
a first data conversion unit for converting a plurality of different state data collected by the wired/wireless signal input unit into preset central data for processing;
A network input/output unit that interfaces state data and control information for each of a plurality of different facilities with the outside;
Control signals are generated differently for each facility state according to a plurality of different state data of the wired/wireless signal input unit, distributed to each facility device to be controlled through the wired/wireless signal output unit, and external registration management through the network input/output unit. A central processing unit that interworks with the device to interface control information;
a second data conversion unit that differently converts a plurality of different control signals to be distributed to the wired/wireless signal input unit according to a signal transmission format set in advance for each equipment to be controlled;
a wired signal output unit for individually distributing the control signal to each facility to be controlled for each wired signal format;
A wireless signal output unit for individually distributing the control signal to each equipment to be controlled for each wireless signal format;
A D/A module that integrates and converts the digital data of the wired/wireless signal input unit into analog;
a security module for encrypting state data and control information for each of the plurality of different facilities according to a first encryption format preset for each data transmission type under the control of the central processing unit; and
a security selection unit for selecting general data output or secure data output in response to each encryption format under the control of the central processing unit; including,

The central processing unit,
a) Organize the first library for applications, services, and control for the use of a number of different facilities into an operating environment for each facility data characteristic type under an open common platform, classify by facility location, device, and date, and register in advance ,
b) based on the first library, by directly creating an application and component of a facility desired by the operator according to the worker facility usage information preset by the management device;
c) collecting state data of facilities desired by the operator through the generated applications and components, and performing integrated monitoring for each of a plurality of different facilities; Data collection and control device for smart factories in the assembly and processing manufacturing industry. The method of claim 1,
The central processing unit,
a) configuring and registering a second library responsible for communication functions for each of the plurality of different facilities according to different facility communication data characteristic types under an open common platform;
b) Based on the second library, by directly generating applications and components according to communication information of worker facilities set in advance through the management device,
c) communicating by the created applications and components, thereby performing unified communication for each of a plurality of different facilities; Data collection and control device for smart factories in the assembly and processing manufacturing industry. The method of claim 2,
The central processing unit,
a) The 3rd library for a number of different smart factory services is integrated into the use environment for each facility data characteristic type and registered in advance,
b) Based on the third library, an execution program of a smart factory service desired by the worker is created according to the worker smart factory service information preset through the management device,
c) performing the smart factory service including the integrated monitoring desired by the worker by the generated execution program and providing each smart factory service; Data collection and control device for smart factories in the assembly and processing manufacturing industry. The method of claim 3,
The central processing unit,
a) An editor for creating real-time monitoring and control applications for the plurality of different facilities and sharing them with other workers, and a tool for connecting to one or more facilities to be controlled through the editor are differently registered for each facility in advance,
b) The editor and the tool have a function to call a component for expressing state data related to the equipment as a worker app service, and to register and use the component as an open API,
c) Based on the editor and the tool, by connecting the open platform to construct a smart factory service app and create an executable file,
d) real-time monitoring and control of facilities using the generated smart factory service app; Data collection and control device for smart factories in the assembly and processing manufacturing industry. The method of claim 4,
The central processing unit,
a) When the state data, control signal, and control information are transmitted, the transmission specification of the facility desired by the operator is compared with the reference transmission specification preset in correspondence with the different data transmission types,
b) As a result of the comparison, if the transmission specification of the facility desired by the worker is higher than the corresponding standard transmission specification, it is maintained, and if the transmission specification of the facility desired by the worker is lower than the corresponding standard transmission specification, encryption by the security module Allocate and initialize the buffer,
c) generate an encryption key through a preset master key;
d) read the corresponding state data or control signal or data of control information;
e) comparing the length of the read data and the corresponding encryption and data length among preset encrypted data lengths corresponding to each data transmission type;
f) As a result of the comparison, if the length of the data is smaller than the corresponding encrypted data length, it is transmitted without encryption, and if it is larger, the frame is detected;
g) The extension header reads the extension bit to check whether it exists,
h) as a result of the check, if there is an extension bit, the payload starting point offset is moved by the extension length;
i) receiving the frame, encryption key, and payload offset information as parameters, partially encrypting the start of the payload of the frame in a second encryption format preset for each data transmission type, and providing it as a lightweight protocol for low-performance equipment thing; Data collection and control device for smart factories in the assembly and processing manufacturing industry. The method of claim 5,
The central processing unit,
By learning the required time and status data for each of a number of different facilities collected by the wired/wireless signal input unit in time series to create the following prediagnosis model, detecting whether or not there is an abnormality in the facility,

The preliminary diagnosis model,
a) Define a learning model that learns three-dimensionally by classifying state data for a number of different types of smart factories, facilities, and surrounding environments,
b) extracting a state data set by required time according to time zone for each of the plurality of different smart factories, facilities, and surrounding environment types;
c) attribute the extracted state data set by reflecting a number of different facility locations, time zones, and surrounding environment types;
d) based on the attributed information, determine state data attributes for each of a plurality of different smart factories, facilities, and surrounding environment types;
e) normalizing the determined result,
f) Based on the above normalized information, a normal facility state is set for each type of a plurality of different smart factories, facilities, and surrounding environments, and independent (normal facility state) and dependent (state data) variables for pre-diagnosis of the facility state are set. set up,
g) generating learning and training data with the set information,
h) generating a machine learning-based learning model based on the generated information;

The central processing unit,
When the equipment abnormality is detected, comparing the normal equipment state of the preliminary diagnosis model with the current equipment state, and determining that there is a facility abnormality if the difference value is greater than a preset standard difference value; Data collection and control device for smart factories in the assembly and processing manufacturing industry.

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