TWM612500U - Iot devices management system - Google Patents

Abstract

The present disclosure provides an IOT devices management system. The IOT devices management system includes a server storing an AI model and multiple IOT devices coupled to the server through a core network. The server obtains a log corresponding to the IOT devices and inputs the log into the AI model. The AI model obtains multiple abnormal IOT devices in the IOT devices. When a first IOT device of the abnormal IOT devices is registered in the core network and the first IOT device is not in a sleep mode, the core network instructs the first IOT devices to execute an auto recovery script to perform a reset operation and re-connects to the core network.

Description

IoT device management system

This disclosure relates to an IoT device management system, and particularly relates to an IoT device management system that can automatically repair abnormal IoT devices.

With the advancement of technology, IoT devices have begun to enter ordinary people's daily applications. IoT devices often have a huge number, such as tens of thousands, hundreds of thousands, millions of devices or more. When an abnormality occurs in the Internet of Things device, it is a considerable project to repair it. Therefore, how to design an automatic repair mechanism for an Internet of Things device is a goal for those skilled in the art.

In view of this, the present disclosure provides an IoT device management system that can automatically repair abnormal IoT devices.

This disclosure proposes an IoT device management system, including: a server storing artificial intelligence models; and a plurality of IoT devices coupled to the server through a core network. The server obtains the log file corresponding to the Internet of Things device from the core network and inputs the log file into the artificial intelligence model. The artificial intelligence model obtains the IoT device according to the record file Multiple abnormal IoT devices in the center. When the first Internet of Things device of the abnormal Internet of Things device has been registered in the core network and the first Internet of Things device is not in sleep mode, the core network instructs the first Internet of Things device to execute an automatic repair script to restart and reconnect To the core network.

Based on the above, the IoT device management system of the present disclosure can obtain a log file of the IoT device from the core network and input the log file into an artificial intelligence model to obtain an abnormal IoT device. When the first IoT device of the abnormal IoT device has been registered in the core network and the first IoT device is not in sleep mode, the core network instructs the first IoT device to restart and reconnect to the core network . In this way, the core network will not send automatic repair commands to unregistered IoT devices or IoT devices that are in sleep mode and cannot receive messages, so the amount of data transmission in the entire system can be greatly reduced.

100: IoT device management system

110: server

120: core network

130: base station

140(1)~140(n): IoT device

S201~S204: Steps of IoT device management method

S301~S309: Steps of IoT device management method

FIG. 1 is a block diagram of an IoT device management system according to an embodiment of the disclosure.

FIG. 2 is a flowchart of a method for managing an Internet of Things device according to an embodiment of the disclosure.

Fig. 3 is a flowchart of a method for managing an Internet of Things device according to another embodiment of the present disclosure.

FIG. 1 is a block diagram of an IoT device management system according to an embodiment of the disclosure.

1, an IoT device management system 100 according to an embodiment of the present disclosure includes a server 110, a core network 120, a base station 130, and IoT devices 140(1)-140(n). The IoT devices 140(1)-140(n) can be connected to the core network 120 through the base station 130 to communicate with the server 110. The server 110 may include a management platform for managing IoT devices 140(1)-140(n). The IoT devices 140(1)~140(n) may include smart street lights, smart electric meters, geomagnetic parking detectors, connected blood glucose meters, smart water meters, smart gas meters, smart charging piles, or other IoT devices. Server 110, base station 130, and IoT devices 140(1)~140(n) may include communication chips (not shown in the figure), storage devices (not shown in the figure), and processing modules (not shown in the figure) In the picture).

The communication chip can support Global System for Mobile communication (GSM), Personal Handy-phone System (PHS), Code Division Multiple Access (CDMA) system, broadband code division Wideband Code Division Multiple Access (WCDMA) system, Long Term Evolution (LTE) system, Worldwide interoperability for Microwave Access (WiMAX) system, Wireless Fidelity (Wi-Fi) ) system, the fifth generation of mobile communication network ^{(5 th Generation Mobile Network, 5G} ) system, or component signal transmission Bluetooth.

The storage device can be any type of fixed or removable random access memory Random Access Memory (RAM), Read-Only Memory (ROM), Flash memory (flash memory), Hard Disk Drive (HDD), Solid State Drive (SSD) ) Or similar elements or a combination of the above elements.

The processing module can be a central processing unit (Central Processing Unit, CPU), or other programmable general-purpose or special-purpose microprocessor (Microprocessor), micro-control unit (Micro Controller Unit, MCU), digital signal processing Digital Signal Processor (DSP), programmable controller, Application Specific Integrated Circuit (ASIC) or other similar components or a combination of the above components.

In one embodiment, the server 110 obtains log files (log) corresponding to the IoT devices 140(1)-140(n) from the core network 120 and inputs the log files into the artificial intelligence model of the server 110. The artificial intelligence model obtains multiple abnormal IoT devices among the IoT devices 140(1)~140(n) according to the log files. When the first Internet of Things device of the abnormal Internet of Things device has been registered in the core network 120 and the first Internet of Things device is not in sleep mode, the server 110 (or the core network 120) sends a signal to the first Internet of Things device to indicate the first An IoT device executes an automatic repair script to attempt a restart operation and reconnect to the core network 120. The server 110 can determine whether the first Internet of Things device is registered in the core network 120 through whether the attach signaling of the first Internet of Things device corresponds to the registered state. When the first Internet of Things device is not registered in the core network 120, the core network 120 does not need to send a signal to the first Internet of Things device to reduce the data transmission volume of the system. When the first Internet of Things device is in sleep mode (or power saving mode), The first Internet of Things device cannot receive the signal transmitted by the core network 120, so the core network 120 will not transmit the signal to the first Internet of Things device to reduce the data transmission volume of the system. When the core network 120 determines that the first Internet of Things device does not return a service request or the first Internet of Things device has a return service request within a predetermined time interval after the first Internet of Things device is reconnected to the core network 120 However, when the connection rate of the first Internet of Things device is not equal to 100%, the server 110 generates a hardware failure message corresponding to the first Internet of Things device, and can send a message to the equipment supplier to instruct the equipment supplier to perform the first Internet of Things device Hardware repair operations.

For example, the first IoT device is a smart street lamp and is turned on for 10 hours a day. The server 110 may determine whether the first Internet of Things device is successfully connected every hour according to the service request (for example, the first Internet of Things device may send a service request once every hour). If the server 110 determines that the first Internet of Things device is successfully connected every hour, the connection rate of the first Internet of Things device is 100%. If the server 110 determines that the first Internet of Things device has successfully connected for 9 hours but failed for 1 hour, the connection rate of the first Internet of Things device is 90%. At this time, the server 110 will determine that the first Internet of Things device is hard. Body failure.

In one embodiment, the server 110 determines multiple features from the raw data of the log file of the core network 120, and inputs these features and the log file into an artificial intelligence model at the same time to perform data pre-processing operations. The smart model acquires abnormal IoT devices. The log file can be a daily log file, an hourly log file or other log files with different time intervals. The above features include the abnormal connection time of the IoT devices 140(1)-140(n) in a predetermined time interval, for example, the sum of the abnormal connection time every day. When the first connection of the first IoT device is abnormal When there is an outlier among the multiple abnormal connection times of the Internet of Things devices 140(1) to 140(n), the artificial intelligence model of the server 110 determines that the abnormal Internet of Things device includes the first Internet of Things device. The outlier value is, for example, a value that is significantly different from the mode, but the present disclosure does not limit the method for judging the outlier value. The above features also include the number of log lines of the Internet of Things devices 140(1)~140(n). When the number of rows of the log file of the first Internet of Things device is not within the predetermined number of rows, the server 110 determines that the abnormal Internet of Things device includes the first Internet of Things device. For example, when the number of log files of a normally operating IoT device is between 50 and 100, the first IoT device with 500 or 10 log files will be classified by the artificial intelligence model. The class is in the list of abnormal IoT devices.

FIG. 2 is a flowchart of a method for managing an Internet of Things device according to an embodiment of the disclosure.

Referring to FIG. 2, in step S201, the server obtains a log file corresponding to the Internet of Things device from the core network and inputs the log file into the artificial intelligence model.

In step S202, the artificial intelligence model obtains a plurality of abnormal IoT devices in the IoT device according to the log file.

In step S203, when the first Internet of Things device of the abnormal Internet of Things device has been registered in the core network and the first Internet of Things device is not in sleep mode, the core network instructs the first Internet of Things device to execute an automatic repair script to restart Operate and reconnect to the core network.

In step S204, when the core network determines that the first Internet of Things device has not returned a service request within a predetermined time interval after reconnecting to the core network, or the first Internet of Things device has responded Send service request but the first IoT installation When the set connection rate is not equal to 100%, the server generates a hardware failure message corresponding to the first Internet of Things device.

Fig. 3 is a flowchart of a method for managing an Internet of Things device according to another embodiment of the present disclosure.

Referring to FIG. 3, in step S301, a log file of the Internet of Things device is obtained from the core network.

In step S302, the data pre-processing operation is performed according to the log file.

In step S303, the artificial intelligence model detects abnormal devices.

In step S304, a list of abnormal devices is output.

In step S305, it is determined whether the Internet of Things device is abnormally connected.

If the Internet of Things device is abnormally connected, in step S306, the core network instructs the Internet of Things device to execute an automatic repair script to reconnect.

If there is no abnormal connection of the Internet of Things device, in step S307, it is determined whether the Internet of Things device has a hardware failure.

If the hardware of the IoT device fails, in step S308, contact the supplier to repair the hardware.

If the hardware of the IoT device is not faulty, in step S309, the artificial intelligence model is optimized. Specifically, when the first Internet of Things device in the list of abnormal devices has no abnormal connection and no hardware failures, it means that the artificial intelligence model misjudges the normally operating first Internet of Things device as an abnormal device. Therefore, the artificial intelligence model can The optimization is performed according to the related data of the log file of the first Internet of Things device to provide subsequent more accurate abnormal device judgment results.

In summary, the IoT device management system of the present disclosure can obtain a log file of the IoT device from the core network and input the log file into an artificial intelligence model to obtain an abnormal IoT device. When the first Internet of Things device of the abnormal Internet of Things device has been registered in the core network and the first Internet of Things device is not in sleep mode, the core network instructs the first Internet of Things device to restart and reconnect to the core network . In this way, the core network will not send automatic repair commands to unregistered IoT devices or IoT devices that are in sleep mode and cannot receive messages, so the amount of data transmission in the entire system can be greatly reduced.

Although the present disclosure has been disclosed in the above embodiments, it is not intended to limit the present disclosure. Anyone with ordinary knowledge in the technical field can make some changes and modifications without departing from the spirit and scope of this disclosure. Therefore, The scope of protection of this disclosure shall be subject to those defined by the attached patent scope.

100: IoT device management system

110: server

120: core network

130: base station

140(1)~140(n): IoT device

Claims (7)

An Internet of Things equipment management system includes: a server storing an artificial intelligence model; and a plurality of Internet of Things devices coupled to the server through a core network, wherein the server obtains a corresponding response from the core network A log file of some IoT devices and input the log file into the artificial intelligence model; the artificial intelligence model obtains a plurality of abnormal IoT devices in the IoT devices according to the log file; and when the abnormal things When a first Internet of Things device of the Internet of Things device is registered on the core network and the first Internet of Things device is not in a sleep mode, the core network instructs the first Internet of Things device to execute an automatic repair script to perform a restart operation And reconnect to the core network. The IoT device management system according to claim 1, wherein when the core network determines that the first IoT device does not return a service request within a predetermined time interval after reconnecting to the core network, the The server generates a hardware failure message corresponding to the first Internet of Things device. The IoT device management system according to claim 2, wherein when the core network determines that the first IoT device has returned the service request within a predetermined time interval after reconnecting to the core network, but the The connection rate of the first Internet of Things device is not equal to 100%, and the server generates a hardware failure message corresponding to the first Internet of Things device. The IoT device management system according to claim 1, wherein the server determines a plurality of characteristics from a raw data of the log file of the core network and inputs the characteristics and the log file The artificial intelligence model obtains the abnormal IoT devices. The IoT device management system according to claim 4, wherein the features include a plurality of abnormal connection times of the IoT devices in a predetermined time interval, when a first failure of the first IoT device When the normal connection time belongs to an outlier among the abnormal connection times, the server determines that the abnormal IoT devices include the first IoT device. The IoT device management system according to claim 4, wherein the features include a log line number of the IoT devices, when the log file line number of the first IoT device is not within a predetermined line number range At this time, the server determines that the abnormal IoT devices include the first IoT device. The IoT device management system according to claim 1, wherein the IoT devices include multiple smart street lights, multiple smart electric meters, multiple geomagnetic parking detectors, multiple connected blood glucose meters, multiple smart water meters, Multiple smart gas meters and multiple smart charging piles.

Images