KR20220077496A - Message data management method of IoT gateway for improving the efficiency of processing large-capacity traffic of various devices applied to smart port configuration - Google Patents

Abstract

The present invention relates to a message data management method of an IoT gateway that improves the processing efficiency of large-capacity traffic of various devices applied to the configuration of a smart port, and more particularly, the message data received from a plurality of IoT devices applied to the port is stored in the object. It learns the transmission pattern of message data from the IoT gateway relaying to the service server that manages Internet devices, and operates to transmit message data with high priority to the service server based on this. It relates to a message data management method of an IoT gateway that improves the processing efficiency of large-capacity traffic of various devices applied to a smart port configuration that can improve performance and quality. The present invention can improve the transmission quality of message data by transmitting the message data to the service server based on the priority comparison according to the type of message divided based on the transmission pattern such as the frequency of call and transmission capacity of the message data, so that the transmission quality of the message data can be improved. It is possible to minimize the idle time of the service server and increase the service quality for smart port-related service provision using message data from the service server, and it has the effect of increasing the efficiency and safety of smart port operation.

Description

Message data management method of IoT gateway for improving the efficiency of processing large-capacity traffic of various devices applied to smart port configuration}

The present invention relates to a message data management method of an IoT gateway that improves the efficiency of processing large-capacity traffic of various devices applied to the configuration of a smart port, and more particularly, message data received from a plurality of IoT devices applied to configure a smart port. It learns a transmission pattern of message data from an IoT gateway that relays . It relates to a message data management method of an IoT gateway that improves the efficiency of processing large-capacity traffic of various devices applied to a smart port configuration that can improve the performance and quality of port-related services.

With the recent emergence of Internet of Things (IoT) devices, Internet of Things services that provide various services, such as improving convenience in real life or improving productivity or efficiency in industries, are provided by using such Internet of Things devices. is becoming

These Internet of Things services generally collect data from various types of legacy devices that operate as Internet of Things devices in a gateway and deliver them to a server that manages the data of IoT devices. These gateways integrate data obtained through various protocols converted, processed, and transmitted to the server.

At this time, the data collected in the gateway includes time-sensitive data and relatively time-insensitive data depending on the data usage pattern of the server. also exist

However, because the existing gateway does not distinguish the characteristics of such data and transmits it using a single-size message queue, data requiring real-time is delayed by data that does not require real-time, so the performance and performance of the Internet of Things service and There is a problem that lowers the quality.

Recently, various IoT devices such as a camera for video surveillance, various sensors, an entry/exit management device for controlling entry and exit of port transportation means, and a terminal for port workers have been installed and distributed in ports, and through these various IoT devices, Attempts are being made to increase work efficiency and productivity by building a smart port that aggregates and processes received information.

However, since the number of IoT devices installed and distributed in these ports is huge, if the characteristics of data received from various IoT devices are not processed separately as described above, data processing efficiency is extremely reduced, and this results in smart port operation There may be problems that reduce the efficiency and stability of the

Korean Patent Registration No. 10-2137380

The present invention learns a transmission pattern for each type of message data using a data transmission log in an IoT gateway that receives message data from a plurality of IoT devices applied to configure a smart port and relays it to a service server, and based on the learned pattern By dividing priority queues using call frequency and message size, idle time due to low-speed messages is minimized and transmission quality is improved, and data processing efficiency is improved during smart port operation through efficient data transmission, so that The purpose is to increase the efficiency and stability of smart port operation while increasing the related service quality.

According to an embodiment of the present invention, an IoT gateway that improves the efficiency of processing large-capacity traffic of various devices applied to a smart port configuration that receives message data from a plurality of Internet of Things devices, which are devices located in a port, through a communication network, and transmits it to a server according to an embodiment of the present invention The message data management method includes: a log storage step of receiving message data from the plurality of IoT devices and generating and accumulatively storing a transmission log when transmitting the message data to the server; Clustering into a plurality of different message types based on a transmission pattern of the message data according to one or more properties preset in relation to a log to generate configuration information for identifying a message type of the message data, and the plurality of different message types After creating a priority determination rule for mutual priority determination, a setting step of setting the setting information and the determination rule in a preset algorithm for message classification, and specific message data received from the plurality of IoT devices The algorithm is applied to identify a message type corresponding to the specific message data, and when the specific message data is received according to the priority determination rule, the message type for each other message data stored in the message queue and the specific message data The method may include an automatic management step of allocating a slot of the specific message data to the message queue by determining the priority of the specific message data with respect to the other message data according to the message type.

As an example related to the present invention, the log storage step includes receiving message data from the plurality of IoT devices and storing the message data in a message queue, and transmitting the message data to the server when the message queue is called by the server, , generating and accumulatively storing a transmission log when the message data is transmitted.

As an example related to the present invention, the one or more attributes may include at least one of a queue call frequency and a transmission amount of message data.

As an example related to the present invention, in the setting step, a rule for determining the priority between the message types is set in the algorithm according to a user input or the plurality of messages classified according to the transmission pattern by learning the transmission log In case of contention with other message types for each type, the priority determination rule for the message type that is prioritized may be created and then set in the algorithm.

As an example related to the present invention, in the automatic management step, the priority of the specific message data is determined and when the slot of the specific message data is allocated to the message queue, the transmission pattern corresponding to the message type of the specific message data is applied. The method may further include allocating a slot for the specific message data accordingly.

As an example related to the present invention, the automatic management step allocates a slot of the specific message data based on a message transmission amount according to a transmission pattern corresponding to a message type of the specific message data when allocating a slot of the specific message data. can be characterized as

The present invention is located in a port and transmits a plurality of different message data to a plurality of each other according to learning of a transmission pattern in an IoT gateway that relays message data received from a plurality of various IoT devices used to configure a smart port to a service server. By classifying different message types and setting a decision rule for priority determination for a plurality of different message types, the message type is identified for each received message data, and based on the decision rule, By determining the priority through contrast, message data with high priority can be transmitted to the service server with priority. By transmitting message data based on comparison, it is possible to increase the transmission quality of message data, thereby minimizing idle time of the service server and improving the service quality for providing smart port-related services using the message data of the service server. It has the effect of increasing the efficiency and safety of port operation.

1 and 2 are diagrams of a service system including an IoT gateway with improved mass traffic processing efficiency of various devices applied to a smart port configuration according to an embodiment of the present invention.
3 is a block diagram of an IoT gateway according to an embodiment of the present invention;
4 is a flowchart of a learning-based message data management method of an IoT gateway according to an embodiment of the present invention.
5 and 6 are diagrams illustrating an operation of an IoT gateway according to an embodiment of the present invention.

Hereinafter, detailed embodiments of the present invention will be described with reference to the drawings.

1 and 2 are diagrams of a service system for providing smart port-related services according to an embodiment of the present invention. As shown, the service system is located in a port and is applied to a plurality of mutually A plurality of different Internet of Things (IoT) devices, which are different devices, and an IoT gateway 100 and the IoT gateway 100 that communicate with the plurality of Internet of Things devices through a communication network (hereinafter referred to as the IoT gateway 100) , may be configured to include a service server communicating with the gateway device (100).

In this case, the plurality of IoT devices may be configured as various types of legacy devices that are located in a port and transmit various types of data for providing smart harbor-related services. As an example of the IoT device, a sensor device , a camera device, wearable devices for port workers, an entry/exit management device for managing entry and exit of harbor transport equipment, various control devices configured in a harbor crane, and the like.

In addition, such an IoT device may support a communication function through a communication network.

In addition, the sensor device used as the IoT device may include various types of sensors applied to freight transport equipment such as tow trucks, ships, cranes, etc. or disposed in various places in a port, for example, a diesel engine analysis device , pressure and level sensor, inclinometer sensor, force sensor, barometer sensor, laser sensor, pressure switch, thermostat and controller, temperature sensor, humidity sensor, float switch, oil and gas pressure sensor, human body sensor and the like.

In addition, the communication network described in the present invention can be applied to various well-known wired and wireless communication methods, and examples of such a wireless communication network include a wireless LAN (WLAN), a digital living network alliance (DLNA), and a wireless broadband (Wibro). , WiMAX (World Interoperability for Microwave Access: Wimax), GSM (Global System for Mobile communication), CDMA (Code Division Multi Access), CDMA2000 (Code Division Multi Access 2000), EV-DO (Enhanced Voice-Data Optimized or Enhanced Voice) -Data Only), WCDMA (Wideband CDMA), HSDPA (High Speed Downlink Packet Access), HSUPA (High Speed Uplink Packet Access), IEEE 802.16, Long Term Evolution (LTE), Long Term Evolution (LTE-A) -Advanced), Wireless Mobile Broadband Service (WMBS), 5G mobile communication service, Bluetooth (Bluetooth), LoRa (Long Range), RFID (Radio Frequency Identification), Infrared Data Association (IrDA) , UWB (Ultra Wideband), ZigBee, Near Field Communication (NFC), Ultra Sound Communication (USC), Visible Light Communication (VLC), Wi-Fi (Wi-Fi) , Wi-Fi Direct, etc. may be included. In addition, wired communication networks include wired LAN (Local Area Network), wired WAN (Wide Area Network), Power Line Communication (PLC), USB communication, Ethernet, serial communication, optical/coaxial A cable may be included.

Also, the gateway device 100 may receive and collect message data from each of the plurality of IoT devices through the communication network, and transmit the corresponding message data to a service server.

In this case, the message data may include various types of data such as text, images, and moving pictures.

Accordingly, the service server performs data pre-processing and classification on message data received from a plurality of different Internet of Things devices, and a smart port through big data management and analysis using a plurality of message data that have undergone pre-processing and classification processes. It can provide smart port-related services for operation.

In this case, since the plurality of IoT devices are composed of various types of legacy devices, they transmit message data using various protocols.

Accordingly, the gateway device 100 integrates message data transmitted in various protocols and transmits it to the service server. In the process of integrating the message data and transmitting the message data to the service server, which Message data corresponding to one message type indicates a transmission pattern that is frequently called, and message data corresponding to another message type indicates various transmission patterns, such as indicating a transmission pattern in which a message transmission amount is higher than that of other message types.

Accordingly, when the gateway device 100 transmits the message data to the service server without considering the call frequency and message transmission amount of the message data, specific message data requiring real-time performance due to frequent call frequency is received and the specific message Although the call of the service server for data occurred, the transmission of the specific message data is delayed due to the transmission of other message data that the gateway device 100 takes a long time to transmit due to a low call frequency but a high message transmission volume.

Accordingly, the gateway device 100 does not guarantee the real-time real-time of specific message data that requires real-time, so that the idle time of the service using the IoT device is prolonged, and thus the service of the smart port-related service provided by the service server. quality will deteriorate.

Accordingly, the gateway device 100 according to an embodiment of the present invention improves the above-described existing problem and transmits a plurality of different message data received from a plurality of various IoT devices according to a learning pattern of a plurality of different message types. , and sets the priority determination rule for priority determination for a plurality of different message types to identify the message type for each message data received based on the determination rule, and prepare for other message data that is the current transmission target. By determining the priority, message data having a high priority can be transmitted to the service server first. The operation of the gateway device 100 will be described in detail below with reference to the drawings.

3 is a block diagram of the gateway device 100 according to an embodiment of the present invention, and FIG. 4 is an operation flowchart of the gateway device 100 according to an embodiment of the present invention.

As shown, the gateway device 100 receives message data from the plurality of IoT devices and interworks with a communication unit 110 that transmits the message data to the service server and the communication unit 110 to the Based on the log management unit 120 for generating and accumulatively storing a transmission log when transmitting message data, and a transmission pattern of the message data according to one or more properties preset in relation to the transmission log through learning of the accumulated and stored transmission log After clustering into a plurality of different message types, configuration information for identifying message types of message data is generated, and priority determination rules for determining mutual priorities between the plurality of different message types are generated. The setting unit 130 for setting the priority determination rule and the setting information in a preset algorithm for message classification and applying the specific message data received from the plurality of IoT devices to the algorithm to the specific message data A corresponding message type is identified, and when the specific message data is received according to the priority determination rule, the message type for each of one or more other message data stored in the message queue and the other message data according to the message type of the specific message data The control unit 140 may be configured to determine the priority of the specific message data and allocate a slot of the specific message data to the message queue.

In this case, at least one of the communication unit 110 , the log management unit 120 , and the setting unit 130 may be included in the control unit 140 . In addition, the gateway device 100 may be configured to further include various components such as a storage unit for storing various types of information and a user input unit for receiving a user input.

In addition, the controller 140 executes an overall control function of the gateway device 100 by using the program and data stored in the storage unit of the gateway device 100 . In this case, the controller 140 may include RAM, ROM, CPU, GPU, and a bus, and the RAM, ROM, CPU, GPU, etc. may be connected to each other through a bus.

An operation sequence of the gateway according to the above-described configuration will be described with reference to FIG. 4 .

First, the gateway device 100 may receive message data from the plurality of IoT devices, generate and accumulate transmission logs when transmitting the message data to the service server (S1).

For example, the communication unit 110 receives message data from the plurality of different IoT devices, and the control unit 140 sets the message data to a preset message queue when the message data is received through the communication unit 110 . can be stored in

In addition, when receiving the call information for the message queue call from the service server through the communication unit 110 , the control unit 140 receives a message queue corresponding to the message queue call according to the call information through the communication unit 110 . It is possible to transmit message data stored in the server to the server.

In this case, the log management unit 120 may generate a transmission log each time message data is transmitted in response to the message queue call, and may accumulate and store the transmission log in the log DB included in the gateway device 100 .

In addition, the gateway device 100 is based on a transmission pattern (or a transmission pattern for each message data) of the message data according to one or more properties preset in relation to the transmission log through learning of the transmission log accumulated and stored in the log DB. to cluster into a plurality of different message types to generate configuration information for identifying message types of message data, and to create a priority determination rule for determining mutual priorities between the plurality of different message types, and then message classification The setting information and the decision rule may be set in a preset algorithm for

The operation of the gateway device 100 may be performed by the setting unit 130 , which will be described in detail with reference to FIG. 5 .

As an example, the setting unit 130 may extract a parameter related to one or more properties preset in relation to the transmission log from the transmission log for each message data accumulated and stored in the log DB, and then learn the parameter for each attribute ( S2), through such learning, the plurality of message data may be clustered into a plurality of different transmission patterns and classified (S3).

In this case, the one or more attributes may include at least one of a queue call frequency and a transmission amount of message data, and the setting unit 130 may perform the clustering based on the K-means algorithm.

In addition, the setting unit 130 may set each of a plurality of different transmission patterns clustered as a message type, thereby generating a plurality of different message types corresponding to a plurality of different transmission patterns one-to-one, respectively. have.

That is, the setting unit 130 transmits a plurality of different messages in relation to the various message data received by the gateway device 100 according to the number of queue calls and the amount of message data transmitted through the learning of the transmission log for each message data. A pattern may be generated, and a plurality of message data received by the gateway device 100 through the plurality of different transmission patterns may be divided (classified) into a plurality of different message types.

In other words, the setting unit 130 learns the transmission log for each message data, classifies message data having similar transmission patterns, generates a plurality of different clusters, and selects each of a plurality of different clusters having different transmission patterns. By setting as the message type, a plurality of different clusters set with different message types and transmission patterns can be created.

Also, the setting unit 130 may generate setting information for identifying the message data received through the communication unit 110 as any one of a plurality of different message types based on the plurality of different groups.

For example, the setting unit 130 may be configured that most of the message data related to the temperature generated by the first IoT device among the plurality of IoT devices belong to (classify to belong to) the first cluster among the plurality of clusters. In this case, setting information is generated to identify temperature-related message data transmitted from the first IoT device as a first message type, and message data related to human body detection generated by a second IoT device among the plurality of IoT devices to identify human body detection related message data transmitted from the second IoT device as a second message type different from the first message type when most of the plurality of clusters belong (classify to belong) to a second cluster among the plurality of clusters. You can create configuration information.

In addition, the setting unit 130 may set the setting information to an algorithm (classification algorithm) preset in the setting unit 130 or the control unit 140 or update the algorithm based on the setting information ( S3).

Through this, the control unit 140 applies the temperature-related message data received from the first IoT device through the communication unit 110 to the algorithm to identify the temperature-related message data as the first message type, By applying the human body detection related message data received from the second IoT device through the communication unit 110 to the algorithm, the human body detection related message data may be identified as the second message type.

In this case, the setting unit 130 may use an algorithm set for clustering (classification) of feature vectors in relation to the learning of the transmission pattern through the learning of the transmission log. As such an algorithm set, a machine learning algorithm or deep learning algorithms can be used.

As an example, the setting unit 130 may preset a deep learning algorithm for learning the transmission log, and the deep learning algorithm may consist of one or more neural network models, and the neural network The model (or neural network) may consist of an input layer, one or more hidden layers, and an output layer, and the neural network model includes a deep neural network (DNN), a recurrent neural network (RNN), Various types of neural networks, such as a Convolutional Neural Network (CNN) and a Support Vector Machine (SVM), may be applied.

In addition, the algorithm preset in the setting unit 130 or the control unit 140 to which the setting information is set (applied) by the setting unit 130 is performed by the machine learning algorithm or the deep learning algorithm (or It is updated based on the setting information generated by the machine learning algorithm or the deep learning algorithm), and may be a classification algorithm (hereinafter, collectively referred to as a classification algorithm) for classifying and identifying message types of the message data.

In addition, the gateway device 100 may further include a display unit for displaying various types of information, and the setting unit 130 displays setting information for the plurality of different message types and transmission patterns for each message type through the display unit. can be displayed

In addition, the setting unit 130 may generate a priority determination rule for the message type that is prioritized in the case of contention between the plurality of message types based on the user input through the user input unit, and may be set in the setting information.

At this time, the setting unit 130 learns the transmission log through the deep learning algorithm, and the plurality of message types classified according to the transmission pattern has the priority for the message type to be prioritized when competing with other message types. It is also possible to create a decision rule of , through the deep learning algorithm, and then set it in the classification algorithm.

As described above, the setting unit 130 clusters a plurality of different message data into a plurality of different transmission patterns through learning of the transmission log to classify the plurality of different message types into a plurality of different message types, and According to a transmission pattern for each message type, setting information may be generated to identify a message type of the message data received by the gateway device 100 and may be set in the classification algorithm.

In addition, the setting unit 130 determines that, when a plurality of different message types compete with each other through the user input or learning of the transmission log, message data of a message type that takes precedence over other message types takes precedence over message data of other message types It is possible to generate a priority determination rule as a criterion for transmission, and set the priority determination rule in the setting information to be reflected in the classification algorithm or directly set in the classification algorithm (S4).

Through the above configuration, the gateway device 100 determines the message type of the message data through a classification algorithm in which the priority determination rule and the setting information are set for the message data received from the plurality of IoT devices. Identifies, compares the message type of the message data with the message type of other message data currently stored in the message queue according to the priority determination rule to determine the priority of the other message data of the message data, and then the determined priority The message data can be stored in the corresponding slot by allocating a slot of the message queue according to Explain.

First, the gateway device 100 applies specific message data received from the plurality of IoT devices to the algorithm to identify a specific message type corresponding to the specific message data, and according to the priority determination rule, the When receiving specific message data, the priority of the specific message data with respect to the other message data is determined according to the message type of one or more other message data stored in the message queue and the specific message type of the specific message data, and the specific message data is stored in the message queue. A slot for message data can be allocated.

Also, the gateway device 100 may transmit one or more message data stored in the message queue to the service server when the message queue of the service server is called according to the priority determined through the priority determination rule.

In order to do this, when the setting of the classification algorithm is completed through the setting unit 130 , the control unit 140 receives specific message data from any one of the plurality of IoT devices through the communication unit 110 . (S5) It is possible to apply (input) the specific message data to the classification algorithm in conjunction with the setting unit 130 .

In this case, the setting unit 130 may be configured to be included in the control unit 140 .

Also, the control unit 140 may calculate a specific message type corresponding to the specific message data through the classification algorithm to which the specific message data is applied, and through this, the specific message type of the specific message data may be identified. (S6).

In addition, the control unit 140 may identify a message type for each other message data currently stored in the message queue at the time when the specific message data is received.

In this case, when there is no other message data stored in the message queue at the time when the specific message data is received, the controller 140 may store the specific message data in the message queue.

In addition, the control unit 140 compares the specific message type identified for the specific message data with the message type for each other message data according to the priority determination rule set in the classification algorithm, and prioritizes the specific message data. It is possible to determine a priority (S7), and allocate a slot for the specific message data in the message queue according to the priority of the specific message data determined according to the priority determination rule and the priority for each other message data ( S8).

In this case, the control unit 140 may variably allocate a slot to the message queue so that the specific message data is transmitted in preference to other message data having a lower priority than the specific message data, and has a priority over the specific message data. Higher other message data may be allocated to the specific message data by changing the slot of the message queue so that the specific message data is transmitted in preference to the specific message data.

Also, as shown in FIG. 6 , the controller 140 may vary the size of the slot according to the size of the specific message data and allocate it to correspond to the specific message data.

Also, the controller 140 may store the specific message data in a slot of a message queue allocated to correspond to the specific message data.

Meanwhile, the controller 140 may sequentially transmit the message data according to the priority according to the queue call of the service server for each of the message data included in the message queue.

In the above configuration, the control unit 140 determines the priority of the specific message data and allocates the specific message data slot to the message queue according to the transmission pattern corresponding to the message type of the specific message data. A slot for message data can be allocated.

For example, when allocating a slot for the specific message data, the controller 140 may allocate a slot for the specific message data based on a message transmission amount according to a transmission pattern corresponding to a message type of the specific message data.

In addition, the control unit 140 transmits the specific message data and the other message data to the message queue when other message data of the same type as the specific message data exists in the message queue according to the priority determined corresponding to the specific message data. A slot in which the specific message data is stored may be allocated to be continuous in a queue.

Through the above-described configuration, the control unit 140 transmits a message such that message data requiring real-time property is transmitted in preference to message data requiring real-time property based on a plurality of different message types classified according to the transmission pattern. Slots can be set in the queue by varying the number of slots, and through this, the transmission delay of message data requiring real-time is prevented, thereby minimizing the idle time of the service server, and improving the TPS (Transaction Per Second) to improve the transmission quality of message data. can be raised

As described above, in the present invention, a plurality of different message data transmission patterns are learned in an IoT gateway that is located in a port and relays message data received from a plurality of IoT devices used to configure a smart port to a service server. classifies the message types into a plurality of different message types according to the Message data with high priority can be transmitted to the service server first by determining the priority by comparing it with other message data. By transmitting message data based on priority comparison according to type, the transmission quality of message data can be improved, minimizing idle time of service servers and improving service quality for smart port-related services using message data from service servers. In addition, it has the effect of increasing the efficiency and safety of smart port operation.

In addition, the present invention can efficiently process large-capacity traffic received from a plurality of IoT devices applied to construct a smart port based on priority comparison, and through this, the quality of smart port-related services provided by the service server can increase

The various devices and components described herein may be implemented by hardware circuitry (eg, CMOS-based logic circuitry), firmware, software, or a combination thereof. For example, it may be implemented using transistors, logic gates, and electronic circuits in the form of various electrical structures.

Those of ordinary skill in the art to which the present invention pertains may modify and modify the above-described contents without departing from the essential characteristics of the present invention. Accordingly, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these embodiments. The protection scope of the present invention should be construed by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

100: gateway device 110: communication unit
120: log management unit 130: setting unit
140: control unit

Claims (6)

A method for managing message data of an IoT gateway that receives message data from a plurality of IoT devices that are devices located in a port through a communication network and transmits them to a server, the method comprising:
a log storage step of receiving message data from the plurality of IoT devices, generating a transmission log when transmitting the message data to the server, and accumulatively storing the transmission log;
Setting information for identifying a message type of message data by clustering it into a plurality of different message types based on a transmission pattern of the message data according to one or more properties preset in relation to the transmission log through learning of the accumulated and stored transmission log a setting step of generating and setting the setting information and the decision rule in a preset algorithm for message classification after generating a priority determination rule for determining the mutual priority of the plurality of different message types; and
The specific message data received from the plurality of IoT devices is applied to the algorithm to identify a message type corresponding to the specific message data, and one stored in a message queue when the specific message data is received according to the priority determination rule An automatic management step of allocating a slot of the specific message data to the message queue by determining the priority of the specific message data with respect to the other message data according to the message type for each other message data and the message type of the specific message data
A message data management method of an IoT gateway that improves the processing efficiency of large-capacity traffic of various devices applied to a smart port configuration, including
The method according to claim 1,
The log storage step is
receiving message data from the plurality of IoT devices and storing it in a message queue, transmitting the message data to the server when the message queue is called by the server, and generating and cumulatively storing a transmission log when the message data is transmitted A method for managing message data of an IoT gateway that improves the processing efficiency of large-capacity traffic of various devices applied to a smart port configuration, comprising the steps of:
The method according to claim 1,
The one or more properties include at least one of a queue call frequency and a transmission amount of message data. A method for managing message data of an IoT gateway with improved efficiency of processing large-capacity traffic of various devices applied to a smart port configuration.
The method according to claim 1,
The setting step is
According to a user input, the priority determination rule between the message types is set in the algorithm or the transmission log is learned to give priority to the plurality of message types classified according to the transmission pattern when competing with other message types. A message data management method of an IoT gateway that improves the efficiency of processing large-capacity traffic of various devices applied to a smart port configuration, characterized in that after creating the priority determination rule for the type, the rule is set in the algorithm.
The method according to claim 1,
The automatic management step is
Determining the priority of the specific message data and allocating the slot of the specific message data according to a transmission pattern corresponding to the message type of the specific message data when assigning the slot of the specific message data to the message queue A message data management method of an IoT gateway that improves the processing efficiency of large-capacity traffic of various devices applied to the smart port configuration, characterized in that
6. The method of claim 5,
The automatic management step is
When allocating the slot of the specific message data, the slot of the specific message data is allocated based on the message transmission amount according to the transmission pattern corresponding to the message type of the specific message data. Message data management method of IoT gateway with improved efficiency of processing large volume of traffic.

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