KR20210094211A - System For Controlling An Automate Equipment - Google Patents

Abstract

Provided is an automated facility control system using distributed data transmission of Internet of things (IoT) device, wherein an objective of the present invention allows the IoT device to prioritize data and transmit the data according to the priority. The automated facility control system comprises: an automated facility; an IoT device; and a service server.

Description

Automated facility control system using distributed data transmission of IoT devices {System For Controlling An Automate Equipment}

The present invention relates to a system for controlling an automated facility using an Internet of Things (IoT) device.

The spread of Internet of Things (IoT) (hereinafter simply referred to as IoT) devices and the resulting increase in usage are rapidly increasing data usage. prospect.

When several IoT devices transmit a large amount of data to a single network at once, a bottleneck may occur due to an increase in traffic load ratio, and data to be transmitted may not be transmitted in a timely manner.

Traffic techniques based on networks in which the existing control plane and data plane are fixed do not efficiently utilize multi-paths or take advantage of the global situation of the network. could not use In response, users are introducing intelligent and diverse traffic management strategies.

With respect to IoT, development of Internet of Things control S/W supporting the collection and control of object data is being actively performed. That is, at home and abroad, group configuration of object resources is supported based on an Internet platform including a data collection function and a device control function of the Internet of Things.

However, the technology for extracting meaningful information from the collected IoT data or analyzing and processing the data in a hierarchical structure is insufficient. In addition, since addition and deletion of resources are based on user requests, autonomous dynamic activities by the Internet of Things are not supported.

With respect to real-time analysis technology, large-scale distributed processing technology development has been actively carried out through the expansion and improvement of technologies such as open source. However, the development of real-time processing technology for Internet of Things big data is insufficient, and therefore, it is difficult to process data that is exploding in the big data era within a set time.

An object of the present invention proposed to solve the above problem is to provide an automated facility control system using distributed data transmission of the Internet of Things device, in which the IoT device can prioritize data and transmit data according to the priority. will provide

According to the present invention for achieving the above-mentioned technical problem, there is provided an automated facility control system using distributed data transmission of an Internet of Things (IoT) device, comprising: an automatic facility for automatically performing an operation; an IoT device that generates data related to the operation state of the automated facility, receives a control signal for the automated facility, and controls the automated facility according to the control signal; and a service server that analyzes data received from the at least two IoT devices, generates control signals for controlling the at least two automated facilities, and transmits the control signals to the at least two IoT devices and, the IoT device sets priorities of data received from the automated facility based on information stored in the IoT device, and the IoT device assigns the data received from the automated facility to the priority. Accordingly, it can be sequentially transmitted to the service server.

According to the present invention, a traffic load and bottleneck occurring in a network environment in which a plurality of IoT devices are installed irregularly can be prevented, and expensive network devices and high-spec devices do not need to be introduced.

In addition, maintenance of automated equipment is possible based on the analyzed data, and since self-repair is possible, system problems can be solved without direct human input.

1 is an exemplary diagram of an automated facility control system using distributed data transmission of an IoT device according to the present invention.
2 is an exemplary diagram showing the configuration of an IoT device applied to the present invention.
3 is a flowchart illustrating an operation method of an automated facility control system using distributed data transmission of an IoT device according to the present invention.
4 is an exemplary diagram illustrating a data processing method of an automated facility control system using distributed data transmission of an IoT device according to the present invention.

Advantages and features of the present invention, and a method for achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in a variety of different forms, and only these embodiments allow the disclosure of the present invention to be complete, and those of ordinary skill in the art to which the present invention pertains. It is provided to fully inform the person of the scope of the invention, and the present invention is only defined by the scope of the claims.

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

1 is an exemplary diagram of an automated facility control system using distributed data transmission of an Internet of Things device according to the present invention, and FIG. 2 is an exemplary diagram illustrating the configuration of an IoT device applied to the present invention.

An automated facility control system (hereinafter simply referred to as a system) using distributed data transmission of an Internet of Things device according to the present invention, as shown in FIG. 1 , includes automation facilities 30 , IoT devices 10 , and services It includes a server 20 and an administrator terminal 40 .

The automation equipment 30 may be a device that is provided in a factory and automatically performs an operation, for example, various assembly devices, fastening devices, or transfer devices provided in an automobile manufacturing plant.

The IoT device 10 performs a function of controlling the function of the automated facility 30 or monitoring the operation state of the automated facility 30 . That is, the IoT device 10 transmits various data related to the operation state of the automated facility 30 to the service server 20 . In addition, the IoT device 10 receives a control signal for the automation facility 30 from the service server 20 , and controls the automation facility 30 according to the control signal.

To this end, as shown in FIG. 2 , the IoT device 10 includes a communication unit 11 that communicates with the automation facility 30 and the service server 20 , and an input unit that receives various information from a manager. (13), an output unit 14 for outputting various information, a storage unit 15 for storing various information, and controlling the functions of the input unit, the output unit, the storage unit 15, and the communication unit 11 A control unit 12 may be included.

The service server 20 analyzes various data received from the IoT devices 10 , generates control signals for controlling the automation facilities 30 , and transmits the control signals to the IoT devices 10 . can be sent to

The manager terminal 40 is used by a manager who manages the service server 20 , the IoT device 10 , and the automation facility 30 . The manager terminal 40 may be a smart phone, a tablet PC, a computer, or the like. The manager terminal 40 may receive and output information about the data and the control signals from the service server 20 , and accordingly, the manager can monitor the operation status of the automation facilities 30 . there is. In addition, the manager may input control signals for the automated facilities 30 through the manager terminal 40 , and the control signals input through the manager terminal 40 are transmitted to the service server 20 . It may be transmitted to the IoT devices 10 through or directly transmitted to the IoT devices 10 . The IoT devices 10 may control the automation facilities 30 according to a control signal transmitted from the manager terminal 40 .

The present invention relates to machine learning and machine control of IoT devices, and specifically, in an environment in which a large number of IoT devices are installed, each IoT device learns a transmission pattern by itself and delivers the result to an automation facility. It relates to a system that can control equipment.

The features of the system according to the present invention are as follows.

In the present invention, each IoT device performs machine learning by analyzing data and transmission rate patterns, and by adjusting the simultaneous speed of each other, data can be efficiently transmitted and the load rate of the network can be improved, and accordingly , automation equipment can be efficiently controlled.

That is, in the present invention, each of the IoT devices understands the data transmission time and capacity, etc., and adjusts the mutual network usage according to a specific time period and data amount, and accordingly, the transmission amount can be flexibly increased or decreased. . When data is transmitted from the IoT devices, the service server analyzes big data using the upper main database, and transmits a corresponding control signal to the IoT devices through the network, and each of the IoT devices controls transmitted from the service server. Signals can be used to control automated equipment.

To elaborate, in the present invention, each of the IoT devices connected to the network learns the data to be transmitted by themselves, determines the priority of the data, and transmits the data according to the priority. Traffic loads and bottlenecks that occur when large amounts of data are transmitted can be avoided. In addition, in the present invention, the service server can transmit the finally analyzed control signals to the IoT devices using the upper main database, and the IoT devices can control the automation facilities using the control signals, Automated facilities can be efficiently controlled.

To this end, the IoT device periodically records the data generation time and capacity, and separately stores it in its own local database. The IoT device performs machine learning based on the generated data, and limits traffic with a low completion priority in order to prevent overload of the communication network or reduce it. At the same time, the IoT device derives the best automation equipment control values from the analyzed data using the local database and sequentially transmits arbitrary data to the service server, resulting in a traffic load and bottleneck caused by a large amount of data. can prevent

The service server performs big data analysis on the data transmitted from the IoT devices, and transmits the control signals on which the big data analysis is completed to each IoT device. IoT devices can synchronize data through mutual interfaces. IoT devices and automation facilities may be designated with priority according to criteria.

3 is a flowchart illustrating an operation method of an automated facility control system using distributed data transmission of an IoT device according to the present invention, and FIG. 4 is data of an automated facility control system using distributed data transmission of the IoT device according to the present invention. It is an exemplary diagram showing a processing method.

First, the IoT device 10 collects various information related to the operation of the automation facility 30 , formalizes the collected information and then analyzes it, and stores the analyzed data in a local database, that is, the storage unit 15 . (302).

For example, the IoT device 10 may analyze information collected from various sensors provided in the automation facility 30 and store the analyzed data in a local database. The sensor includes a power sensor for measuring the voltage or current applied to the automation facility 30 , a motion sensor for determining whether the automation facility 30 is operating normally, and temperature and pressure of the automation facility 30 . And it may be at least one of a detection sensor for detecting the speed.

That is, the IoT device 10 analyzes the information received from the sensor provided in the automation facility 30 and stores the analyzed data, for example, voltage, current, normal operation, temperature, pressure and speed, etc. locally. Save it to the database.

Next, the IoT device 10 may set the priority of the data by applying the same transmission time point of the data, learning and analyzing it using a machine learning algorithm and a deep learning algorithm ( 304 ).

That is, the IoT device 10 analyzes the priority among the data to be transmitted to the service server using a machine learning algorithm and a deep learning algorithm.

For example, when the voltage or current is much greater than a preset value, a situation in which the automation equipment 30 may stop operating due to an overload may occur. In particular, the IoT device 10 may determine that the occurrence of an accident is high when the voltage or current is very large than a specific value as a result of learning with a machine learning algorithm and a deep learning algorithm, and in this case, the power supply Data based on the information received from the sensor can be set as the highest priority.

As another example, although the voltage or current is greater than a general value, it is determined that the information is not large enough to cause an accident, rather, any one of the temperature, pressure, and speed of the automation facility 30 is very large than a preset value. If it is determined that there is a high risk of occurrence of , the IoT device 10 may set the data based on the information received from the detection sensor as the highest priority.

As another example, if the voltage, current, temperature, pressure, and speed are greater than or less than the preset value, so there is a high risk of an accident, but the operation of the automation facility 30 is stopped due to a problem whose cause is unknown, the IoT device (10) may set data based on the information received from the motion sensor, that is, data indicating that the operation of the automated facility 30 has been stopped, as the highest priority.

In addition, the IoT device 10 transmits a plurality of data simultaneously or sequentially to the service server 20 , and then, if a specific control signal is first received by the manager terminal 40 or the service server 20 , the data and information about the specific control signal are learned by a machine learning algorithm and a deep learning algorithm, and the result is stored in the storage unit 15 . Thereafter, if data related to the specific control signal is included among the data received from the automation facility 30 , the IoT device 10 may set the data related to the specific control signal as the highest priority. In other words, after a plurality of data is simultaneously or sequentially transmitted to the service server 20 , a specific control signal related to specific data is transmitted from the service server 20 to the IoT device 10 means that the specific data means that it contains the most important points. Accordingly, after the specific control signal is received, when the specific data is received from the automation facility 30 again, the IoT device 10 sets the specific data as the highest priority and then gives the highest priority to the service server (20) can be transmitted. Such determination may be performed according to a result of learning by a machine learning algorithm and a deep learning algorithm.

That is, the IoT device 10 is set by the administrator and based on various pieces of information stored in the storage unit, according to the result of learning with a machine learning algorithm and a deep learning algorithm, the automation facility 30 You can set the priority of data received from .

In more detail, the IoT device 10 may learn a data transmission pattern by itself, and may set the priority of data to be transmitted to the service server 20 according to the result.

Next, the IoT device 10 compares the standardized data with the real-time priority and sequentially transmits the data having the highest priority to the service server 20 (306).

That is, the IoT device 10 may sequentially transmit data received from the automation facility 30 to the service server 20 according to the priority set through the above process.

Next, the service server 20 registers facility information including the state and calculation capability of the automated facility 30 transmitted from the IoT device 10 , and periodically collects server information including the calculation capability of the service server do.

Next, the service server 20 determines the amount of offloading and calculation requested by the application, and performs clustering as shown in FIG. 4 . That is, the service server 20 performs clustering on data transmitted from the IoT devices 10 .

In more detail, the service server 20 returns a result as it processes the task assigned from the task manager who assigns the task.

That is, the service server 20 may analyze the data using the upper main database and generate control signals corresponding to the analysis result. Also, the service server 20 may analyze the data using a big data analysis technique and generate control signals corresponding to the analysis result ( 308 ). In this case, the service server 20 may analyze data received from the IoT devices 10 using a clustering technique.

Next, the service server 20 may transmit at least one control signal according to the big data analysis to the IoT device through the network ( 310 ). In this case, the service server 20 may define the control signal in a specific format and format.

The control signal may be a signal to modify the function of the automated facility 30, may be a signal to cause the automated facility 30 to perform a specific function, or simply cause the automated facility 30 to perform a current operation. It may be a signal necessary to maintain

Next, the IoT device 10 receives the control signal from the service server 20 in a specific format and format.

Finally, the IoT device 10 may control the automated facility 30 according to the control signal, and the automated facility 30 may perform an operation according to the control signal (312).

The features of the system according to the present invention as described above are as follows.

First, as described above, the IoT device 10 sets the priority of data received from the automation facility 30 based on information stored in the IoT device, and sets the priority of the data. It can be sequentially transmitted to the service server 20 according to the priority.

Second, in the IoT device, after a plurality of data is transmitted to the service server simultaneously or sequentially, if a specific control signal is first received by the manager terminal or the service server, information on the data and the specific control signal , and then, among the data received from the automation facility, if data related to the specific control signal is included, data related to the specific control signal may be set as the highest priority.

Third, the priority may be performed on data received from one automated facility 30 , but may also be performed on data received from at least two automated facilities 30 .

That is, the at least two IoT devices 10 may communicate with each other through a network to share and synchronize data received from the at least two automated facilities 30 , and the IoT devices 10 may communicate with each other through the network. By setting the priority of the data received from ( 30 ), the data may be sequentially transmitted to the service server 20 according to the priority.

In this case, the IoT devices 10 may set the priority using a machine learning algorithm and a deep learning algorithm, as described above.

Also, as described above, the IoT devices 10 may set data related to a specific control signal as the highest priority.

In the following description, an operation performed by any one IoT device 10 may also be applied to at least two synchronized IoT devices 10 . That is, any one IoT device 10 may analyze only information related to any one automation facility 30 connected thereto and transmit the analyzed data to the service server, and at least two The IoT devices 10 may commonly analyze information related to the at least two automated facilities 30 connected thereto, and transmit data to the service server 20 according to a single unified rule according to the analyzed result.

Fourth, the IoT device 10 may be used in a specific time period in which the data transmission amount of the network is greatest or in a specific situation in which the data transmission amount increases the most (eg, a situation in which the data transmission amount rapidly increases after specific data is transmitted). The data transmission rate and data transmission pattern can be learned, and the data can be distributed and transmitted to the service server 20 in the specific time period or in a specific situation.

That is, the IoT device 10 transmits, simultaneously or sequentially, only data having a priority higher than a preset priority to the service server 20 in the specific time period or in a specific situation, and data having a priority lower than the preset priority They may transmit at different times.

Fifth, when the specific time period or the specific situation occurs, the IoT devices 10 can transmit data to the service server 20 through the network according to the data transmission rate and data transmission order determined by learning. there is.

To elaborate, for example, at 13:00, it is determined that the amount of data transmitted from the IoT devices 10 to the service server 20 is the highest, and accordingly, the data transmission speed is determined to be slow, and by learning, When it is determined that the data transmission error can be minimized when data is transmitted at a specific data transmission rate in the specific time period or in the specific situation, the IoT devices 10 transmit the data to the service server 20 using the transmission rate. can be sent to

In this case, when a specific situation in which the control signal corresponding to the data transmitted from the specific IoT device 10 is received most rapidly occurs continuously, the IoT devices 10 learn from the specific IoT device 10 by learning. It can be seen that the transmitted data has the highest priority, and therefore, a specific IoT device 10 among the IoT devices 10 may preferentially transmit data before 13:00.

In addition, the IoT devices 10, by learning, in the specific time period or the specific situation, the data transmission rate when transmitting the data generated from the second IoT device after transmitting the data generated from the first IoT device, When the data generated from the second IoT device is transmitted and it is determined that the data transmission rate is faster than the data transmission speed when the data generated from the first IoT device is transmitted, the data generated from the first IoT device is generated during the specific time period or when the specific situation occurs After transmitting the data, the data generated from the second IoT device may be transmitted.

Sixth, when the amount of data transmitted to the service server 20 is large, the IoT devices 10 transmit a transmission pattern in which one data is split into a plurality of packets and transmitted, and one data is transmitted as one packet. Transmission pattern, a transmission pattern in which different data generated by different IoT devices is distributed into a plurality of packets and then a plurality of packets corresponding to different data are transmitted alternately, a transmission in which the size of one packet is different Among the patterns, data may be transmitted to the service server 20 using a transmission pattern having the fastest data transmission speed or the largest data transmission amount by learning.

Seventh, the IoT devices 10 determine the times and capacities at which other IoT devices transmit data, and the priority of data to be transmitted from the specific IoT device 10 to the service server 20 at a specific time is determined by the remaining IoT devices. If the priority of data to be transmitted from 10 to the service server 20 is higher, the remaining IoT devices 10 do not transmit data to the service server 20 at the specific time, but data before and after the specific time. may be transmitted to the service server 20 .

That is, in the present invention, each of the IoT devices understands the data transmission time and capacity, etc., and adjusts the mutual network usage according to a specific time period and data amount, and accordingly, the transmission amount can be flexibly increased or decreased. .

Eighth, the service server 20 can analyze the data transmitted from the IoT device to identify the problem of the automated facility 30, and thus generate a control signal that can solve the problem of the automated facility 30. can The automated facility 30 may self-repair according to the control signal. Accordingly, according to the present invention, system problems can be solved without direct human input.

Those skilled in the art to which the present invention pertains will understand that the present invention may be embodied in other specific forms without changing the technical spirit or essential characteristics thereof. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

10: IoT device 20: service server
30: automation equipment 40: manager terminal

Claims (2)

automation equipment that automatically performs actions;
an IoT device that generates data related to the operation state of the automated facility, receives a control signal for the automated facility, and controls the automated facility according to the control signal; and
A service server that analyzes the data received from the at least two IoT devices, generates control signals for controlling the at least two automated facilities, and transmits the control signals to the at least two IoT devices, ,
The IoT device sets the priority of data received from the automation facility based on the information stored in the IoT device,
The IoT device transmits the data received from the automation facility to the service server sequentially according to the priority. The method of claim 1,
The IoT device stores the data and information on the specific control signal when a specific control signal is first received by the manager terminal or the service server after a plurality of data is transmitted simultaneously or sequentially to the service server Then, among the data received from the automation facility, if data related to the specific control signal is included, the data related to the specific control signal is set as the highest priority,
At least two IoT devices communicate with each other through a network to share and synchronize data received from at least two automated facilities,
At least two of the IoT devices set priorities of data received from the automated facilities, and sequentially transmit the data to the service server according to the priorities. control system.

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