TW202304174A - Dynamic detection system, method and computer-readable medium for networked device - Google Patents

Abstract

The present invention provides a dynamic detection system, method, and computer-readable medium for networked equipment, including multiple networked devices, multiple communication devices, and a head terminal system, and the head terminal system further includes a networked device management module and an obstacle detection module, in which the networked device management module is used to read and confirm the identity of the networked device, and the obstacle detection module automatically confirms the identity of each networked devices and detects anomaly, so as to quickly and precisely detect an error occurred due to the abnormality of the data configuration of each networked device.

Description

Networked device dynamic detection system, method and computer readable medium

A networked device detection technology, in particular to a networked device dynamic detection system, method and computer-readable medium.

In today's society, due to the rapid development of the Internet of Things (IoT), many networked devices (such as electric meters, water meters, etc.) have adopted the Internet of Things (IoT) technology for data transmission, device control and management.

However, there are various specifications and data of existing networked devices (such as electricity meters, water meters, etc.), and the current data configuration of networked devices (such as data object configuration list information) is still manually set, so there is a certain risk of setting errors. In addition, when there is a new network device registration, network device update, or network device restart after shutdown, if there is a problem that the data configuration of the network device cannot be obtained correctly, it is often impossible to quickly and accurately detect abnormal network devices , resulting in considerable inconvenience in the maintenance of networked devices, resulting in a significant drop in management efficiency.

Therefore, how to provide an innovative motion detection technology to solve the above problems or provide related functions has become a major research topic for those skilled in the art.

The present invention provides a networked device dynamic detection system, which includes: a plurality of networked devices each with a first identification code; a plurality of communication devices each with a second identification code, which are respectively connected to the networked devices by communication; and a terminal system, Each of the networked devices is connected through the communication equipment. The head sub-system further includes a networked device management module, which regularly analyzes the connection status of each of the networked devices and analyzes whether re-registration is required. When each of the networked devices When the connection status of at least one of them is online and there is no need to re-register, the networked device management module performs a highly secure authentication operation on the first identification code of each networked device, thereby completing device identification and connection Work, wherein, the networked device management module regularly reads the data configuration and data value of each networked device, so as to perform key-value correspondence on the data configuration and data value of each networked device, so as to form a networked device data set .

The present invention also provides a dynamic detection method for networked equipment, which includes: connecting a plurality of networked equipments each with a first identification code through a terminal system through a plurality of communication equipments each having a second identification code; The networked device management module regularly analyzes the connection status of each of the networked devices and analyzes whether re-registration is required, so that when the connection status of at least one of the networked devices is online and does not need to be re-registered, the networked device management module The group conducts high-security authentication operations on the first identification code of each networked device to complete device identification and connection work; the networked device management module regularly reads the data configuration and data of each networked device value, to make a key-value correspondence between the data configuration and data value of each networked device, so as to form a networked device data set.

In one embodiment, when the connection state of at least one of the networked devices is in When re-registration is required, the networked device management module reads and identifies the networked device data of at least one of the networked devices to generate a first identification code for at least one of the networked devices for registration, and then proceeds High security authentication operation.

In one embodiment, the head-end system further includes an obstacle detection module that analyzes and compares the first identification codes of each of the networked devices and the corresponding second identification codes of each of the communication devices to confirm that each Whether the binding status of the networking device and its corresponding communication devices is normal or abnormal.

In one embodiment, when the binding status is abnormal, the obstacle detection module adds the abnormal networked device to the abnormal device identity list to start the notification operation.

In one embodiment, the obstacle detection module further analyzes the data configuration of each networked device obtained by the networked device management module to confirm whether the data configuration of each networked device complies with the definition of its version material specification If the data configuration does not match, the obstacle detection module will add the abnormal networked device to the device identity exception list to start the notification operation.

In one embodiment, the obstacle detection module analyzes the correlation between the networked devices with abnormal identities, and analyzes different group characteristics, so as to generate a first group characteristic analysis result, and then restarts Report work.

In one embodiment, the obstacle detection module analyzes the correlation between the networked devices with abnormal data configuration, and analyzes different group characteristics, so as to generate a second group characteristic analysis result, Restart the notification job.

In one embodiment, the head-end subsystem further includes a head-end system core module for receiving the networked device data set formed by the networked device management module.

The present invention also provides a computer-readable medium, which is applied to a computing device or a computer, and is Instructions are stored to execute the above dynamic detection method for networked equipment.

It can be seen from the above that the networked device management module of the present invention reads and confirms the identity of the online networked device, and the identification code of the networked device passes the high security authentication operation to protect the transmission of confidential commands and data and receive. Then, regularly read the data configuration of networked devices to complete the latest data configuration filing work, and quickly and accurately screen individual and group abnormal devices through device identity anomaly detection and data configuration anomaly detection , in addition to solving the problem of equipment certification failure or data format error caused by different versions of networked equipment, equipment not burning data configuration according to document specifications, and irregularly modifying technical specification content, it can also notify maintenance and rights in real time The responsible unit conducts inspection and repair of individual/group abnormal equipment.

Furthermore, the present invention uses the obstacle detection module to perform identity verification and abnormal detection for each networked device. Therefore, compared with the conventional technology, which manually sets the identification code of the networked device, it is easy to cause networked devices to exist in the online environment due to manual setting errors. Abnormal binding with communication equipment affects equipment management and data acquisition, and the present invention can quickly and accurately find abnormal networked equipment through the obstacle detection module, and further confirm the identity authentication of networked equipment, and screen Identify networked devices with abnormal identities, and notify the maintenance and operation unit and responsible units to detect abnormal devices, so that only networked devices with legal identities can be managed, so as to facilitate the subsequent data configuration of networked devices.

1: Networked equipment dynamic detection system

10: Networked devices

20: Communication equipment

30: concentrator

40: Wired network or wireless network

50: Head terminal system

51: Networked device management module

511: Networking device interface unit

512: networked device identification unit

513: network device data configuration retrieval unit

514: Network device data value acquisition unit

515: Data Correspondence Unit for Networked Devices

516: The first data storage unit

52: Head-end system core module

521: Data collection unit

522: Second data storage unit

523: Scheduling module

53:Northbound system interface module

54: Obstacle detection module

541: Device identity anomaly detection unit

542: Data configuration anomaly detection unit

543: Group device identity anomaly detection unit

544: Group data configuration anomaly detection unit

9: Maintenance unit or weight unit

S21 to S25, S31 to S36: steps

S41 to S46, S51 to S56: steps

S61 to S63, S71 to S73: steps

FIG. 1 is a schematic diagram of the architecture of the networked device dynamic detection system of the present invention;

Fig. 2 is a schematic diagram of the workflow of front-end real-time device identification and connection of the present invention;

Fig. 3 is a schematic diagram of the working process of front-end data dynamic identification and its extraction in the present invention;

FIG. 4 is a schematic diagram of the workflow of the device identity anomaly detection of the present invention;

FIG. 5 is a schematic diagram of the workflow of data configuration anomaly detection in the present invention;

Fig. 6 is a schematic diagram of the work flow of group device identity anomaly detection of the present invention; and

FIG. 7 is a schematic diagram of the workflow of group data configuration anomaly detection in the present invention.

The implementation of the present invention is described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification.

It should be noted that the structures, proportions, sizes, etc. shown in the drawings attached to this specification are only used to match the content disclosed in the specification, for the understanding and reading of those familiar with this technology, and are not used to limit the implementation of the present invention Therefore, it has no technical substantive meaning. Any modification of structure, change of proportional relationship or adjustment of size shall still fall within the scope of this invention without affecting the effect and purpose of the present invention. The technical content disclosed by the invention must be within the scope covered. At the same time, terms such as "a", "first", "second", "upper" and "lower" quoted in this specification are only for the convenience of description and are not used to limit the scope of the present invention. The scope of implementation, the change or adjustment of its relative relationship, without substantial change in technical content, shall be regarded as the scope of implementation of the present invention.

FIG. 1 is a schematic diagram of the structure of the networked device dynamic detection system 1 of the present invention. As shown in Figure 1, the networked device dynamic detection system 1 includes at least one (such as a plurality of) networked devices 10, at least one (such as a plurality of) communication devices 20, and at least one (such as a plurality of) concentrators 30 that communicate with each other . At least one (eg, plural) wired or wireless networks 40, and a terminal system 50, wherein each networked device 10 has a corresponding communication device 20, and the networked device 10 and the communication device 20 are mutually communicatively connected.

The networking device 10 can be a smart networking device (such as an AMI smart meter), a smart water meter, a distribution transformer, a gas meter, a monitoring device, etc., wherein AMI stands for Advanced Metering Infrastructure, and each networking device 10 has The unique first identification code (Device_UUID). The communication device 20 may be or be connected to a Field Area Network (FAN), such as Narrowband Internet of Things (NB-IoT), Radio Frequency (RF), and Power Line Communication; PLC), etc., and each communication device 20 has a unique second identification code (Module_UUID). The concentrator 30 is a data concentrator unit (Data Concentrator Unit; DCU) or the like.

The wired network in the wired network or the wireless network 40 can be optical fiber access (Fiber To The X; FTTx), asymmetric digital subscriber line (Asymmetric Digital Subscriber Line; ADSL), leased line, etc., and the wireless network can be For Wireless Fidelity (Wireless Fidelity; WiFi), Narrowband Internet of Things (NB-IoT), third-generation (3rd-Generation; 3G) mobile communication network, fourth-generation (4th-generation; 4G) mobile communication network, Fifth-generation (5th-generation; 5G) mobile communication network, etc. The head-end sub-system 50 is also called a networked device dynamic detection device, and may include a networked device management module 51 , a head-end system core module 52 , a northbound system interface module 53 , and an obstacle detection module 54 . The northbound system interface module 53 can be a northbound system interface device, a northbound system interface software (program formula), etc., are used to transmit the network equipment data set scheduled for transmission to an equipment data management subsystem (not shown in the figure), so as to complete the legal data transmission. In addition, the obstacle detection module 54 communicates with external maintenance units or value units (such as power companies, water companies, gas companies, etc.) 9 to report abnormal information.

The networked device management module 51 may have a networked device interface unit 511, a networked device identification unit 512, a networked device data configuration retrieval unit 513, a networked device data value retrieval unit 514, a networked device data corresponding unit 515, The first data storage unit 516 .

The networked device interface unit 511 can be a networked device interface component, a networked device interface software (program), etc., and is used to interface each networked device 10 through the wired network or the wireless network 40 and the communication device 20 . The networked device identification unit 512 can be a networked device identification component, a networked device identification software (program), etc., for reading and confirming the identity of the networked device 10, and confirming the first identification code (Device_UUID) of the networked device 10 and The second identification code (Module_UUID) of the communication device 20 is bound to each other, and when the binding relationship is legal, subsequent downlink packet transmission is performed through the networking device interface unit 511 . The networked device data configuration extraction unit 513 can be a networked device data configuration extractor, a networked device data configuration extraction software (program), etc., and is used to retrieve the data configuration in the networked device data of the networked device 10 ( Such as data object configuration list information), and automatically read the latest data configuration of the networked device 10 when the networked device 10 is registered for the first time, re-programmed firmware or is powered off and restored. The networked device data value extraction unit 514 can be a networked device data value extractor, a networked device data value extraction software (program), etc., used to capture the data value in the networked device data of the networked device 10, so as to obtain the data value according to the networked device The connection status of 10 and the acquisition cycle of various types of regular data, automatically read the data value of the networked device 10 in the acquisition cycle. The network equipment data correspondence unit 515 may be a network equipment data correspondence device, a network equipment data correspondence software (program), etc., It is used to perform key-value correspondence between the data configuration obtained by the network device data configuration acquisition unit 513 and the data value read back by the network device data value acquisition unit 514 to form a network device data set. The first data storage unit 516 can be a hard disk (such as a network or a cloud hard drive), a memory, a memory card, a database, etc., and is used to store the networked device data set generated by the networked device data corresponding unit 515, and to store the networked device data set. The device data set is thrown up to the second data storage unit 522 of the head-end system core module 52 for subsequent data processing.

The head-end system core module 52 is a communication connection network equipment management module 51 and a northbound system interface module 53, which can be a head-end server (Head End Server; HES), etc., and has a data collection unit 521, the first 2. Data storage unit 522, scheduling module 523, etc. The data collection unit 521 can be a data collector, data collection software (program), etc., and is used to receive the data set of networked devices transmitted by the first data storage unit 516 . The second data storage unit 522 can be a hard disk (such as a network or cloud hard disk), a memory, a memory card, a database, etc., and is used to store the networked device data set. The scheduling module 523 can be a scheduling component, a scheduling software (program), etc., and is used for northbound data transmission of networked device data sets through scheduling planning.

The obstacle detection module 54 is a communication connection network equipment management module 51 and an external maintenance unit or weight unit 9, which can be an obstacle detector, obstacle detection software (program), etc., and has an abnormal device identity A detection unit 541 , a data configuration anomaly detection unit 542 , a group device identity anomaly detection unit 543 , a group data configuration anomaly detection unit 544 .

The device identity anomaly detection unit 541 can be a device identity anomaly detection component, a device identity anomaly detection software (program), etc., to confirm whether each networked device 10 and its communication device 20 are legally accepted by the head-end system core module 52 Tube. The data configuration anomaly detection unit 542 can be a data configuration anomaly detection component, a data configuration anomaly detection software (program), etc., to analyze each network The data configuration defined by the material specification of each version of the device 10 (such as the data object configuration list information). The group device identity anomaly detection unit 543 can be a group device identity anomaly detection component, a group device identity anomaly detection software (program), etc., to analyze the correlation between each networked device 10 with abnormal identities, which can be divided into If the brand group is abnormal, the group is abnormal in the installation area, or the group is abnormal at the time when the equipment program is burned, quickly confirm the scope of influence and notify the maintenance unit or weight unit9. The group data configuration anomaly detection unit 544 can be a group data configuration anomaly detection component, a group data configuration anomaly detection software (program), etc., to analyze the relationship between each networked device 10 with data configuration abnormality It can be divided into brand group abnormalities, installation area group abnormalities, material specification version group abnormalities, or equipment program programming time point group abnormalities. Quickly confirm the scope of influence and notify the maintenance unit or weight unit9.

Each networked device 10 can be connected to a wired network or a wireless network 40 through its communication device 20 (such as a field area network FAN), and the type of the field area network (FAN) of the communication device 20 can be a narrow-band Internet of Things (NB -IoT), radio frequency (RF), power line communication (PLC) and other types. That is, the networked device 10 can be directly connected to a wired network or a wireless network 40 through a communication device 20 (such as a field area network FAN) that is a narrow-band Internet of Things (NB-IoT) type, so as to pass through a wired network or a wireless network. The circuit 40 communicates with the networked device management module 51 of the head end system 50 . Alternatively, the networked device 10 can be connected to a wired network or a wireless network through a concentrator 30 (such as a data concentrator unit DCU) through a radio frequency (RF) or power line communication (PLC) communication device 20 (such as a field area network FAN). The network 40 is used to communicate with the networked device management module 51 of the head subsystem 50 through the wired network or the wireless network 40 .

Therefore, each networked device 10 can communicate via a wired network or a wireless network 40 through the interface of narrow-band Internet of Things (NB-IoT), radio frequency (RF) or power line communication (PLC). The networked equipment data (such as data configuration and data value, etc.) 10. Network equipment data for analysis, management or reporting.

In one embodiment, the networked device identification unit 512 of the networked device management module 51 analyzes whether each networked device 10 needs to be re-registered, for example: (a) initial connection of the networked device 10: the networked device identification unit 512 confirms that the networked device The first identification code (Device_UUID) of the device 10 is not bound to the second identification code (Module_UUID) of the communication device 20; (b) the initial connection after the firmware update of the networked device 10: the networked device identification unit 512 analyzes The firmware version number of the networked device 10 is different (changed) from the previous time; (c) the initial connection after the networked device 10 is powered off and restored: the networked device identification unit 512 receives the power failure event of the networked device 10 and restores the communication connection .

Therefore, when the above three types of situations are met, the networked device identification unit 512 enters the registration process of the networked device 10, wherein the networked device identification unit 512 reads and identifies the networked device information of each networked device 10 to generate each networked device. The first identification code (Device_UUID) of the networked device 10 is used to register each networked device 10, for example, to read the brand and type code of each networked device 10, the serial number and material specification number customized by each brand, and to identify each networked device 10. The year of production and the material specification number of the referenced technical specification, with the brand and type code and the serial number customized by each manufacturer as the first identification code (Device_UUID). Next, the networked device identification unit 512 automatically accesses the application layer access authentication parameters to perform a High Level Security (HLS) authentication process on the first identification code (Device_UUID) of each networked device 10, for example, Carry out asymmetric identity authentication combined with symmetric encryption technology and private key delivery process to protect the transmission and reception of confidential commands and data, and avoid the transmission process It is monitored and tampered with in order to complete device identification and connection work.

In one embodiment, the networked device data configuration acquisition unit 513 of the networked device management module 51 automatically reads the data configuration of each networked device 10 on a regular basis to obtain the latest data configuration of each networked device 10 (such as data object configuration list information), for example, to obtain the data configuration of load data including data time, status, total kilowatt-hours, etc., or to obtain data recording time, status, time electricity price number, power factor, etc. For the data configuration of the midnight data of the project (but not limited to the above), the data configuration retrieval unit 513 of the networked device uses the cache technology to perform the data configuration filing work.

Furthermore, the networked device data value acquisition unit 514 of the networked device management module 51 analyzes the last successful reading record of each networked device 10 to automatically obtain the regular data value of the missing value interval, for example, read 2021 Data values of load data, midnight data, demand data and other data from 00:00 on January 1 to 08:00 on January 7, 2021.

Afterwards, the network equipment data correspondence unit 515 of the network equipment management module 51 carries out key-value correspondence between the data configuration from the network equipment data configuration extraction unit 513 and the data value of the network equipment data value extraction unit 514, to form Networked equipment data set, for example, data time (key) of load data = 2021/01/01 00:00:00 (value), total kWh of load data (key) = 100.203 (value), and the first data is stored The unit 516 stores the data set of networked devices and sends it to the core module 52 of the back-end head-end system for subsequent data analysis and uploading, thereby completing the dynamic identification and retrieval of data.

In one embodiment, the networked device interface unit 511 of the networked device management module 51 can communicate via a wired network through a narrowband Internet of Things (NB-IoT), radio frequency (RF) or power line communication (PLC) interface. or wireless network and other communication methods to automatically analyze the network status of each networked device 10 State, that is, the network connection state of the communication device 20 of each network device 10 . When the connection state of the networked device 10 is online (connected), the networked device identification unit 512 automatically identifies the second identification code (Module_UUID) of each communication device 20 and completes the high security (HLS) authentication process of each networked The first identification code (Device_UUID) of the device 10.

Furthermore, the device identity anomaly detection unit 541 of the obstacle detection module 54 automatically analyzes and compares the first identification code (Device_UUID) of each networked device 10 and the second identification code (Module_UUID) of each communication device 20 to confirm The binding status of each networked device 10 and its corresponding communication device 20, if the binding status of each networked device 10 and its communication device 20 is normal, it means that it is legally managed by the core module 52 of the head-end system; otherwise If the binding status of each networked device 10 and its communication device 20 is abnormal, it means that it is not legally managed by the core module 52 of the head-end system. For example, the first identification code (Device_UUID) of a single networked device 10 is linked to The second identification code (Module_UUID) of the plurality of communication devices 20 represents that the networked device 10 has an abnormal identity, and the abnormal device identity detection unit 541 will add the abnormal networked device 10 to the device identity abnormal list, and start the notification process to notify maintenance shipping unit or weight unit9.

In one embodiment, the network device data configuration acquisition unit 513 of the network device management module 51 obtains the latest data configuration (such as data object configuration list information) of each network device 10, and the obstacle detection module 54 After the device identity anomaly detection unit 541 confirms that each networked device 10 is legally managed by the head-end system core module 52, the data configuration anomaly detection unit 542 of the obstacle detection module 54 automatically analyzes the data group of each networked device 10 state, to confirm whether the data configuration of each networked device 10 conforms to the data configuration defined by the material specification of its version.

Specifically, the data configuration anomaly detection unit 542 automatically analyzes whether the number of data configurations of each networked device 10 is the same as the number of corresponding data values, and if not, then It means that the data configuration of the networked device 10 is abnormal; otherwise, if it is the same, further analyze whether the necessary information in the data configuration exists, wherein, when the necessary information in the data configuration of the networked device 10 exists, it means that the networked device 10 The data configuration is normal, and when the necessary information in the data configuration of the networked device 10 does not exist, it means that the data configuration of the networked device 10 is abnormal, so that the data configuration anomaly detection unit 542 detects the abnormal networked device 10 Add it to the device identity exception list, and start the notification process to notify the maintenance unit or weight unit 9, wherein the necessary information in the data configuration includes KWH, Kvarh, etc., but not limited to the above.

In one embodiment, the group device identity anomaly detection unit 543 analyzes the correlation between various networked devices 10 with abnormal identities, so as to target different group characteristics (such as brand, installation area, device programming time point, etc.) ) to generate the analysis results of the first group characteristics, and start the notification process to notify the maintenance unit or weight unit 9 . For example, the group device identity anomaly detection unit 543 can distinguish each networked device 10 with an abnormal identity as an abnormal brand group (for example: X brand), an abnormal installation area group (for example: at the OO area) or a device program burning time point Group anomalies (for example: X, X, 2021) and other first group characteristics analysis results, but not limited to the above.

In one embodiment, the group data configuration anomaly detection unit 544 analyzes the correlation between each networked device 10 with an abnormal data configuration, so as to target different group characteristics (such as equipment brand, installation area, material specification version) , device program burning time point, etc.) to generate the second group characteristic analysis result, and start the notification process to notify the maintenance unit or weight unit 9 . For example, the group data configuration anomaly detection unit 544 can distinguish each networked device 10 with abnormal data configuration into brand group abnormality (for example: X brand), installation area group abnormality (for example: OO area), material specification group Abnormal (for example: version number 1.x) or group abnormalities at the time point of device program burning (for example: X, X, 2021) and other second group characteristic analysis results, but not limited to the above.

FIG. 2 is a schematic diagram of the workflow of front-end real-time device identification and connection of the networked device management module in the networked device dynamic detection system 1 and its method according to the present invention, and it is explained with reference to FIG. 1 . As shown in Figure 2, the workflow of the front-end real-time device identification and connection has the following steps:

In step S21, the communication status of the communication device 20 (such as the field area network FAN) of each networked device 10 enters the sleep mode or the regular active connection mode.

In step S22 , the networked device interface unit 511 of the networked device management module 51 periodically and automatically analyzes (such as automatically detects and analyzes) the connection status of each networked device 10 as online (connected) or offline. If the connection status is online (connected), then proceed to step S23; otherwise, if the connection status is not online (offline), then return to step S21 and wait for the networked device management module 51 to perform the next automatic analysis.

In step S23, the networked device identification unit 512 of the networked device management module 51 analyzes whether each networked device 10 needs to be re-registered. If re-registration is required, proceed to step S24; otherwise, if re-registration is not required, proceed to step S25.

In step S24 , the networked device identification unit 512 reads and identifies the networked device information of each networked device 10 to generate a first identification code (Device_UUID) of each networked device 10 for registering each networked device 10 .

In step S25, the networked device identification unit 512 performs a high security (HLS) authentication process on the first identification code (Device_UUID) of each networked device 10, thereby completing the device identification and connection work.

Fig. 3 is a schematic diagram of the workflow of dynamic identification and retrieval of front-end data of the networked equipment management module in the networked equipment dynamic detection system 1 and its method of the present invention, and a And refer to Figure 1 for an explanation. As shown in Figure 3, the workflow of dynamic identification and retrieval of front-end data has the following steps:

In step S31 , the networked device identification unit 512 confirms whether each networked device 10 has completed the high security (HLS) authentication process. If the authentication process worker is completed in each networked device 10, then enter step S32; otherwise, if the authentication process worker is not completed in each networked device 10, then enter step S33.

In step S32, the networked device data configuration acquisition unit 513 automatically reads the data configuration of each networked device 10 periodically to obtain the latest data configuration (such as data object configuration list information) of each networked device 10 .

In step S33 , the networked device identification unit 512 re-performs the high security (HLS) authentication process on the first identification code (Device_UUID) of each networked device 10 .

In step S34, the data configuration retrieval unit 513 of the networked device uses the cache technology to file the data configuration.

In step S35 , the networked device data value acquisition unit 514 analyzes the last successful reading record of each networked device 10 to automatically obtain regular data values in the missing interval.

In step S36, the networked device data correspondence unit 515 performs key-value correspondence between the data configuration from the networked device data configuration retrieval unit 513 and the data value of the networked device data value retrieval unit 514 to form a networked device data set .

FIG. 4 is a schematic diagram of the workflow of device identity anomaly detection in the networked device dynamic detection system 1 and its method according to the present invention, and it is explained with reference to FIG. 1 . As shown in Figure 4, the workflow of device identity anomaly detection has the following steps:

In step S41 , the networking device interface unit 511 of the networking device management module 51 automatically analyzes the networking status of each networking device 10 .

In step S42, when the connection state of the networked device 10 is online (connected), the networked device identification unit 512 of the networked device management module 51 automatically identifies the second identification code (Module_UUID) of each communication device 20 and completes The first identification code (Device_UUID) of each networked device 10 working in the high security (HLS) authentication process.

In step S43, the device identity anomaly detection unit 541 of the obstacle detection module 54 automatically analyzes and compares the first identification code (Device_UUID) of each networked device 10 and the second identification code (Module_UUID) of each communication device 20, To confirm the binding status of each networking device 10 and each corresponding communication device 20 . If the binding state is normal, proceed to step S44; otherwise, if the binding state is abnormal, proceed to step S45.

In step S44 , the device identity anomaly detection unit 541 confirms that each networked device 10 and its corresponding communication device 20 are in a normal binding state, which means that they are legally managed by the head-end system core module 52 .

In step S45 , the abnormal device identity detection unit 541 confirms that each networked device 10 and its corresponding communication device 20 are abnormally bound, which means that they are not legally managed by the head-end system core module 52 .

In step S46 , the device identity anomaly detection unit 541 adds the abnormal networked device 10 to the device identity anomaly list, and starts a notification process to notify the maintenance unit or weight unit 9 .

FIG. 5 is a schematic diagram of the workflow of data configuration anomaly detection in the networked device dynamic detection system 1 and its method according to the present invention, and it is explained with reference to FIG. 1 . Figure 5 As shown, the workflow of device identity anomaly detection has the following steps:

In step S51 , the network device data configuration retrieval unit 513 of the network device management module 51 obtains the latest data configuration (such as data object configuration list information) of each network device 10 .

In step S52, the data configuration anomaly detection unit 542 of the obstacle detection module 54 automatically analyzes the data configuration of each networked device 10 to confirm whether the number of data configurations of each networked device 10 corresponds to the data The number of values is the same. If they are different, go to step S55; otherwise, if they are the same, go to step S53.

In step S53, the data configuration anomaly detection unit 542 further analyzes whether necessary information in the data configuration exists. If the necessary information in the data configuration of the networked device 10 exists, proceed to step S54; otherwise, if the necessary information in the data configuration of the networked device 10 does not exist, proceed to step S55.

In step S54, it means that the data configuration of the networked device 10 is normal.

In step S55, it means that the data configuration of the networked device 10 is abnormal.

In step S56, the data configuration anomaly detection unit 542 adds the abnormal networked device 10 to the device identity anomaly list, and starts a notification process to notify the maintenance unit or weight unit 9 .

FIG. 6 is a schematic diagram of the working process of group device identity anomaly detection in the networked device dynamic detection system 1 and its method according to the present invention, and it is explained with reference to FIG. 1 . As shown in Figure 6, the work flow of the group device identity anomaly detection has the following steps:

In step S61, the group device identity anomaly detection unit 543 of the obstacle detection module 54 analyzes the correlation between the networked devices 10 with abnormal identities to target different Analyze different group characteristics (such as brand name, installation area, device programming time, etc.).

In step S62, the group device identity anomaly detection unit 543 generates a first group characteristic analysis result. For example, group abnormality of the brand (example: X brand), abnormal installation area group (example: OO area), or abnormal group at the time point of device program burning (example: X month X day, 2021), etc., but not limited to the above.

In step S63 , the group device identity anomaly detection unit 543 initiates a notification process to notify the maintenance unit or weight unit 9 .

FIG. 7 is a schematic diagram of the working process of group data configuration anomaly detection in the networked device dynamic detection system 1 and its method according to the present invention, and it is explained with reference to FIG. 1 . As shown in Figure 7, the workflow of data configuration anomaly detection has the following steps:

In step S71, the group data configuration anomaly detection unit 544 of the obstacle detection module 54 analyzes the correlation between each networked device 10 with abnormal data configuration, so as to target different group characteristics (such as equipment brand, installation area, material specification version, device programming time, etc.) for analysis.

In step S72, the group data configuration anomaly detection unit 544 generates a second group characteristic analysis result. For example, the brand group is abnormal (example: brand X), the installation area group is abnormal (example: OO area), the material specification group is abnormal (example: version number 1.x) or the device program burning time point group is abnormal (example: X, X, 2021), etc., but not limited to the above.

In step S73 , the group data configuration anomaly detection unit 544 starts a notification process to notify the maintenance unit or the weight unit 9 .

In addition, the present invention also discloses a computer-readable medium, which is applied to a computing device or computer having a processor (eg, CPU, GPU, etc.) and/or memory, and stores instructions, And the computing device or computer can be used to execute the computer-readable medium through the processor and/or memory, so as to execute the above-mentioned method and each step when executing the computer-readable medium.

In summary, the networked device management module of the present invention automatically reads and confirms the identity of the online networked device, and the identification code (Device_UUID) of the networked device passes through the high security (HLS) authentication process to Protect the transmission and reception of confidential orders and data. Then, automatically read the data configuration of networked devices on a regular basis to complete the latest data configuration filing work, and quickly and accurately screen individual groups and groups through device identity anomaly detection and data configuration anomaly detection Abnormal equipment, in addition to solving the problem of equipment certification failure or data format error caused by different versions of networked equipment, equipment not burning data configuration according to document specifications, and irregularly modifying technical specification content, you can also notify maintenance and operation immediately And responsible units to carry out inspection and repair of individual/group abnormal equipment.

Furthermore, the present invention automatically performs identity verification and abnormal detection for each networked device through the obstacle detection module. Therefore, compared with the conventional technology, which manually sets the identification code (Device_UUID) of the networked device, it is easy to cause online errors due to manual setting errors. In the environment, the identification code (Module_UUID) of multiple communication devices corresponds to the identification code (Device_UUID) of a single networked device, which leads to a non-unique link between the identification code (Module_UUID and Device_UUID), which affects device management and data retrieval. The obstacle detection module can quickly and accurately find out abnormal networked devices, and further confirm the legality of the identity of the networked devices, screen out the networked devices with abnormal identities (individually or in groups), and notify the maintenance unit and its responsibilities Units (for example: power companies, watch factories) conduct abnormal device detection so that only networked devices with legal identities can be managed, so as to facilitate subsequent data configuration of networked devices.

Therefore, compared with the prior art, the present invention has the following technical features and effects thereof:

1. The present invention can be applied to networked devices (such as AMI smart meters, smart electronic devices, etc.) to automatically detect the abnormality generated by the networked device data (such as data configuration, etc.) 1. The device fails to burn the data configuration according to the technical specification document and the content of the technical specification is modified irregularly, resulting in the failure of equipment certification or the corresponding error in the data format.

2. The present invention has a networked device management module at the front end that automatically reads and confirms its data configuration according to the connection status of the online networked device, and dynamically accesses the application layer access authentication parameters according to the read networked device material specification number. And carry out High Level Security (HLS) authentication process work on networked devices to protect the transmission and reception of confidential commands and data, to prevent the transmission process from being monitored and tampered with, thereby completing device identification and connection work .

3. The present invention detects the identity anomaly of individual or group networked devices, and detects the abnormal identity of the networked device by automatically analyzing the matching consistency between the communication device and the networked device. The problem of repeated device identities caused by abnormal device identities, and further analysis of group device abnormalities, quickly screens abnormal groups such as regional abnormalities and specific brand abnormalities.

4. The present invention detects data configuration anomalies for individual or group networked devices. By reading the latest data configurations, a large number of networked devices with abnormal data configurations due to manual settings can be screened out in real time, avoiding regular data uploads After reaching the equipment data management subsystem, the problem of data object setting error was discovered, and further group equipment abnormal analysis was carried out, and abnormal groups such as regional abnormalities, specific brand abnormalities, and specific material specification version abnormalities were quickly screened.

The above-mentioned embodiments are only illustrative to illustrate the principles and effects of the present invention, and are not intended to limit the present invention. Any person skilled in this art can without departing from the spirit and scope of the present invention Next, the above-mentioned embodiment is modified and changed. Therefore, the scope of protection of the rights of the present invention should be listed in the scope of the patent application.

1: Networked equipment dynamic detection system

10: Networked devices

20: Communication equipment

30: concentrator

40: Wired network or wireless network

50: Head terminal system

51: Networked device management module

511: Networking device interface unit

512: networked device identification unit

513: network device data configuration retrieval unit

514: Network device data value acquisition unit

515: Data Correspondence Unit for Networked Devices

516: The first data storage unit

52: Head-end system core module

521: Data collection unit

522: Second data storage unit

523: Scheduling module

53:Northbound system interface module

54: Obstacle detection module

541: Device identity anomaly detection unit

542: Data configuration anomaly detection unit

543: Group device identity anomaly detection unit

544: Group data configuration anomaly detection unit

9: Maintenance unit or weight unit

Claims (17)

A networked device dynamic detection system, including: a plurality of networked devices each having a first identification code; A plurality of communication devices each having a second identification code are respectively connected to each of the networked devices; and A terminal system is to communicate with each of the networked devices through the communication equipment, and the terminal system further includes: A networked device management module, which regularly analyzes the connection status of each networked device and analyzes whether re-registration is required. When the connection status of at least one of the networked devices is online and no re-registration is required, the networked The device management module performs high-security authentication operations on the first identification code of each networked device, thereby completing device identification and connection work, Wherein, the networked device management module regularly reads the data configuration and data value of each networked device, so as to perform key-value correspondence on the data configuration and data value of each networked device, so as to form a networked device data set. The networked device dynamic detection system as described in claim 1, wherein, when the connection status of at least one of the networked devices is online and needs to be re-registered, the networked device management module reads and identifies each of the networked devices The networked device information of at least one of the devices is registered by generating the first identification code of at least one of the networked devices, and then the high-security authentication operation is performed. The networked device dynamic detection system as described in claim 1, wherein the head sub-system further includes an obstacle detection module, which analyzes and compares the first identification code of each networked device and its corresponding communication The second identification code of the device to confirm whether the binding status of each networked device and each corresponding communication device is normal or abnormal. The networked device dynamic detection system according to claim 3, wherein, when the binding status is abnormal, the obstacle detection module adds the abnormal networked device to the device identity abnormality list to start the notification operation. The networked device dynamic detection system as described in claim 3, wherein the obstacle detection module further analyzes the data configuration of each networked device obtained by the networked device management module to confirm the status of each networked device Whether the data configuration conforms to the data configuration defined by the version material specification, if not, the obstacle detection module will add the abnormal networked device to the device identity exception list to start the notification operation. The networked device dynamic detection system as described in claim 3, wherein the obstacle detection module analyzes the correlation between the networked devices with abnormal identities, and analyzes different group characteristics to generate - After analyzing the results of the first group characteristics, start the notification operation. The networked device dynamic detection system as described in claim 3, wherein the obstacle detection module analyzes the correlation between the networked devices with abnormal data configurations, and analyzes different group characteristics, so as to Then generate a second group characteristic analysis result, and then start the notification operation. The networked device dynamic detection system as described in claim 1, wherein the head-end subsystem further includes a head-end system core module for receiving the networked device data set formed by the networked device management module. A method for dynamic detection of networked equipment, comprising: Connect a plurality of networked devices each with a first identification code through a plurality of communication devices each with a second identification code through a terminal system; The networked device management module in the head subsystem regularly analyzes the connection status of each of the networked devices and analyzes whether re-registration is required, so that when the connection status of at least one of the networked devices is online and no re-registration is required , the networked device management module performs a high-security authentication operation on the first identification code of each networked device, so as to complete the device identification and connection work; The networked device management module regularly reads the data configuration and data value of each networked device, so as to perform key-value correspondence on the data configuration and data value of each networked device, so as to form a networked device data set. The networked device dynamic detection method as described in claim 9, wherein, when the connection status of at least one of the networked devices is online and needs to be re-registered, the networked device management module reads and identifies each of the networked devices The network equipment data of at least one of the network equipment is registered by generating the first identification code of at least one of each network equipment, and then the high security authentication operation is performed. The dynamic detection method for networked equipment as described in Claim 9, wherein the head subsystem further includes an obstacle detection module, so that the first identification code and the first identification code of each networked equipment are analyzed and compared by the obstacle detection module. The second identification codes of the corresponding communication devices are used to confirm whether the binding status of each networked device and its corresponding communication devices is normal or abnormal. The method for dynamically detecting networked devices according to claim 11, wherein when the binding status is abnormal, the obstacle detection module adds the abnormal networked device to the device identity abnormality list to start the notification operation. The networked device dynamic detection method as described in claim 11, wherein the obstacle detection module further analyzes the data configuration of each networked device obtained by the networked device management module to confirm each networked device Whether the data configuration conforms to the data defined in the material specification of its version If the configuration is not met, the obstacle detection module will add the abnormal networked device to the device identity exception list, and then start the notification operation. The networked device dynamic detection method as described in claim 11, wherein the obstacle detection module analyzes the correlation between the networked devices with abnormal identities, and analyzes different group characteristics, so as to Generate a first group characteristic analysis result, and then start the notification operation. The networked device dynamic detection method as described in claim 11, wherein the obstacle detection module analyzes the correlation between the networked devices with abnormal data configuration, and analyzes different group characteristics, so as to Generate a second group characteristic analysis result according to it, and then start the notification operation. The networked device dynamic detection method as described in claim 9, wherein the head-end subsystem further includes a head-end system core module, so that the head-end system core module receives the networked device formed by the networked device management module dataset. A computer-readable medium, used in a computing device or a computer, is stored with instructions to execute the networked device dynamic detection method described in any one of claims 9 to 16.

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