TWI751090B - 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 motion detection system, method, and computer-readable medium

A networked device detection technology, in particular, 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 Internet-connected devices (such as electricity meters, water meters, etc.) have adopted the Internet of Things (IoT) technology for data transmission, equipment control and management.

However, the specifications and data of existing networked devices (such as electricity meters, water meters, etc.) are various, 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 networking device registration, networking device update, or the networking device is restarted after shutdown, if there is a problem that the data configuration of the networking device cannot be obtained correctly, it is often impossible to quickly and accurately detect abnormal networking devices. , resulting in considerable inconvenience in maintaining networked devices, resulting in a significant drop in management efficiency.

Therefore, how to provide an innovative dynamic 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 dynamic detection system for networked devices, which comprises: a plurality of networked devices each having a first identification code; a plurality of communication devices each having a second identification code, which are respectively connected to the networked devices; and a terminal system, It communicates with each of the networked devices through the communication equipment. The head-terminal system further includes a networked device management module, which regularly analyzes the connection status of each of the networked devices and analyzes whether it needs to be re-registered. 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 high-security authentication operation on the first identification code of each of the networked devices, thereby completing the 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 between the data configuration and data value of each of the networked devices, so as to form a networked device data set .

The present invention further provides a method for dynamic detection of networked devices, which includes: a head terminal system communicates with a plurality of networked devices each having a first identification code through a plurality of communication devices 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 performs high-security authentication on the first identification code of each networked device to complete device identification and connection; the networked device management module regularly reads the data configuration and data of each networked device The data configuration and data value of each networked device are key-valued to form a networked device data set.

In one embodiment, when the connection status of at least one of the networked devices is on When the connection is connected and needs to be re-registered, the networked device management module reads and identifies the networked device data of at least one of the networked devices to generate the first identification code of at least one of the networked devices for registration, and then performs High security authentication operation.

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

In one embodiment, when the binding state is abnormal, the obstacle detection module adds the abnormal networked device to the list of abnormal device identities to start a notification operation.

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

In one embodiment, the obstacle detection module analyzes the correlation between the networked devices with abnormal identities, and analyzes the characteristics of different groups, so as to generate a first group characteristic analysis result according to them, and then start the operation again. Announce 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 accordingly, Restart the notification job.

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

The present invention further provides a computer-readable medium, which is used in a computing device or a computer, and is Instructions are stored to execute the above-mentioned method for dynamic detection of networked devices.

As can be seen from the above, the networked device management module of the present invention reads and confirms the identity of the networked device on 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 the 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 problems of device authentication failure or data format corresponding errors caused by different versions of networked devices, devices not burning data configuration in accordance with document specifications, and irregularly modifying technical specifications, it can also notify maintenance and rights immediately. The responsible unit shall carry out the inspection, repair and inspection of the abnormal equipment of each/group.

Furthermore, the present invention uses the obstacle detection module to perform identity confirmation and abnormality detection on each networked device. Therefore, compared with the prior art by manually setting the identification code of the networked device, it is easy to cause the existence of networked devices 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 network equipment through the obstacle detection module, and further confirm the identity legality authentication of network equipment, filter Identify the networked devices with abnormal identities, and notify the maintenance and operation unit and the competent authority to check the abnormal devices, so that only the networked devices with legal identities can be managed, so as to facilitate the subsequent acquisition of the data configuration of the networked devices.

1: Networked device 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: Networked equipment interface unit

512: Networked device identification unit

513: Network device data configuration capture unit

514: Network device data value acquisition unit

515: Corresponding unit for networking equipment data

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 abnormality detection unit

543: Group Device Identity Abnormal Detection Unit

544: Group data configuration abnormal 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 structure of a 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 according to the present invention;

FIG. 3 is a schematic diagram of the workflow of dynamic identification and retrieval of front-end data according to the present invention;

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

FIG. 5 is a schematic diagram of the workflow of the data configuration abnormality detection according to the present invention;

FIG. 6 is a schematic diagram of the workflow of the group device identity anomaly detection according to the present invention; and

FIG. 7 is a schematic diagram of the workflow of the abnormal detection of group data configuration according to the present invention.

The following specific embodiments are used to illustrate the implementation of the present invention, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification.

It should be noted that the structures, proportions, sizes, etc. shown in the drawings in this specification are only used to cooperate with the contents disclosed in the specification for the understanding and reading of those who are familiar with the art, and are not intended to limit the implementation of the present invention. Therefore, it has no technical significance. Any modification of the structure, change of the proportional relationship or adjustment of the size should still fall within the scope of the present invention without affecting the effect and the purpose that the present invention can achieve. The technical content disclosed by the invention can be covered within the scope. 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 and the change or adjustment of its relative relationship shall be regarded as the scope of implementation of the present invention without substantially changing the technical content.

FIG. 1 is a schematic diagram of the structure of a networked device dynamic detection system 1 of the present invention. As shown in FIG. 1 , the networked device dynamic detection system 1 includes at least one (eg, a plurality of) networked devices 10, at least one (eg, a plurality of) communication devices 20, and at least one (eg, a plurality of) concentrators 30 that communicate with each other. , At least one (eg, multiple) wired network or wireless network 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 connected to each other in communication.

The networking device 10 may be a smart networking device (such as an AMI smart electricity 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 Unique first identifier (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 wireless network 40 may be Fiber To The X (FTTx), Asymmetric Digital Subscriber Line (ADSL), dedicated line, etc., while the wireless network may 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, the first The fifth generation (5th-generation; 5G) mobile communication network, etc. The head-end 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, a northbound system interface software (process formula), etc., to transmit the network device data set scheduled for transmission to a device data management subsystem (not shown in the figure), so as to complete the transmission of legal data. In addition, the obstacle detection module 54 is communicated with an external maintenance unit or weight unit (such as a power company, a water company, a gas company, etc.) 9 for communicating 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 acquisition unit 513, a networked device data value acquisition unit 514, a networked device data correspondence unit 515, The first data storage unit 516 .

The networking device interfacing unit 511 can be a networking device interfacing component, a networking device interfacing software (program), etc., for interfacing each networking device 10 through the wired or 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., used to read and confirm the identity of the networked device 10, and to confirm the first identification code (Device_UUID) of the networked device 10 and the A binding relationship between the second identification codes (Module_UUID) of the communication device 20, and when the binding relationship is legal, the subsequent downlink packet transmission is performed through the networking device interface unit 511. The networked device data configuration capture unit 513 can be a networked device data configuration capturer, a networked device data configuration capture software (program), etc., for capturing the data configuration ( 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, the firmware is re-programmed or the power is cut off and restored. The networked device data value acquisition unit 514 can be a networked device data value extractor, a networked device data value acquisition software (program), etc., and is used to acquire the data value in the networked device data of the networked device 10 to obtain the data value according to the networked device. The connection status of 10 and the acquisition cycle of various types of periodic data automatically read the data value of the networked device 10 in the acquisition cycle. The networked device data correspondence unit 515 may be a networked device data correspondent, a networked device data correspondence software (program), etc., It is used to perform key-value correspondence between the data configuration obtained by the network device data configuration retrieval unit 513 and the data value read back by the network device data value capture 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 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 equipment 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 device 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, a first Two data storage unit 522, scheduling module 523 and so on. The data collection unit 521 can be a data collector, data collection software (program), etc., for receiving the first data storage unit 516 to transmit the network device data set. 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., for storing the network device data set. The scheduling module 523 can be a scheduling component, scheduling software (program), etc., and is used for northbound data transmission of the networked device data set through the scheduling plan.

The obstacle detection module 54 communicates with the networked device 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 abnormality detection unit 542 , a group device identity abnormality detection unit 543 , and a group data configuration abnormality detection unit 544 .

The device identity abnormality detection unit 541 can be a device identity abnormality detection component, a device identity abnormality 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 abnormality detection unit 542 can be a data configuration abnormality detection component, a data configuration abnormality detection software (program), etc., for analyzing each network connection The data configuration (eg, data object configuration list information) defined by the material specification of each version of the device 10 . The group device identity abnormality detection unit 543 may be a group device identity abnormality detection component, a group device identity abnormality detection software (program), etc., and is used to analyze the correlation between each networked device 10 with abnormal identity, which can be divided into If the brand group is abnormal, the installation area group is abnormal, or the device program programming time point group is abnormal, quickly confirm the scope of influence and notify the maintenance and operation unit or weight unit9. The group data configuration abnormality detection unit 544 can be a group data configuration abnormality detection component, a group data configuration abnormality detection software (program), etc., for analyzing the relationship between the various networked devices 10 with abnormal data configuration It can be divided into abnormal brand group, abnormal installation area group, abnormal material specification version group, or group abnormality of equipment program programming time point. 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 field area network (FAN) of the communication device 20 can be in the form of a narrowband Internet of Things (NB). -IoT), radio frequency (RF), power line communication (PLC) and other types. That is, the networking device 10 can be directly connected to the wired network or the wireless network 40 through the communication device 20 (such as the field area network FAN) of the Narrow Band Internet of Things (NB-IoT) type, so as to connect the wired network or the wireless network through the wired network or the wireless network. The road 40 communicates with the networked device management module 51 of the head terminal system 50 . Alternatively, the networking device 10 can be connected to a wired network or wireless network through a concentrator 30 (such as a data concentrator unit DCU) through a communication device 20 (such as a field area network FAN) of a radio frequency (RF) type or a power line communication (PLC) type. The network 40 communicates with the networked device management module 51 of the head terminal system 50 through the wired network or the wireless network 40 .

Therefore, each networked device 10 can communicate via wired network or wireless network 40 through Narrow Band Internet of Things (NB-IoT), Radio Frequency (RF), or Power Line Communication (PLC) interfaces. The network device data (such as data configuration and data value, etc.) of the network device 10 are transmitted to the network device management module 51 of the head-end system 50, and then the head-end system core module 52 of the head-end system 50 is connected to the network device. 10. Analysis, management or reporting of networked device data.

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) the first connection of the networked device 10: the networked device identification unit 512 confirms the connection to the network The first identification code (Device_UUID) of the device 10 and the second identification code (Module_UUID) of the communication device 20 are not bound; (b) the first connection after the firmware of the networked device 10 is updated: the networked device identification unit 512 analyzes the The firmware version number of the networked device 10 is different from the previous time (changed); (c) the first connection after the networked device 10 is powered off and restored: the connected device identification unit 512 receives the event of a power failure of the connected 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 data of each networked device 10 to generate each networked device 10. The first identification code (Device_UUID) of the networked device 10 is used to register each networked device 10. For example, read the brand and type code of each networked device 10, the custom serial number and material specification number of each brand, and identify each networked device. 10. The production year and the material specification number of the cited technical specification, with the brand and type code and the serial number customized by each brand as the first identification code (Device_UUID). Next, the networked device identification unit 512 automatically obtains the application layer access authentication parameters to perform the high-level security (HLS) authentication process for the first identification code (Device_UUID) of each networked device 10 , for example, Carry out the process of identity authentication and private key transmission with asymmetric combination of symmetric encryption technology, so as to protect the transmission and reception of confidential commands and data, and avoid the transmission process It is monitored and tampered with, thereby completing the 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 periodically and automatically according to the state of each networked device 10 to obtain the latest data configuration of each networked device 10 (such as data object configuration list information), for example, obtain the data configuration including the load data of the data time, status, total kilowatt-hour and other items, or obtain the data record time, status, time electricity price number, power factor, etc. For the data configuration of the midnight data of the project, etc. (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 file construction.

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

Afterwards, the networked device data correspondence unit 515 of the networked device management module 51 performs key-value correspondence between the data configuration from the networked device data configuration capture unit 513 and the data value of the networked device data value capture unit 514 to form Networked device data set, for example, data time of load data (key) = 2021/01/01 00:00:00 (value), total load data kilowatt hours (key) = 100.203 (value), and the first data storage The unit 516 stores the network device data set and transmits it to the back-end head-end system core module 52 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 be connected via a wired network through a narrow-band 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 connection of each networked device 10 state, that is, the networking state of the communication device 20 of each networking 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 for each networked device. The first identification code (Device_UUID) of the device 10.

Furthermore, the device identity abnormality 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 state of each networking device 10 and its corresponding communication device 20, if the binding state of each networking device 10 and its communication device 20 is normal, it means that it is legally managed by the head-end system core module 52; otherwise , if each networked device 10 and its communication device 20 are abnormally bound, it means that they are not legally managed by the head-end system core module 52, 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. The device identity abnormality detection unit 541 adds the abnormal networked device 10 to the device identity abnormality list, and starts the notification process to notify the maintenance Transport unit or weight unit 9.

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

Specifically, the abnormal data configuration 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; on the contrary, if it is the same, further analyze whether the necessary information in the data configuration exists. The data configuration is normal, and when the necessary information in the data configuration of the networking device 10 does not exist, it means that the data configuration of the networking device 10 is abnormal, so that the abnormal networking device 10 is detected by the abnormal data configuration detection unit 542 Add to the list of equipment identity exceptions, and start the notification process to notify the maintenance unit or the 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 each networked device 10 with an abnormal identity, so as to target different group characteristics (such as brand, installation area, device programming time point, etc.) ) to perform analysis to generate the first group characteristic analysis result, and start the notification process to notify the maintenance unit or the weight unit 9 . For example, the group device identity abnormality detection unit 543 can distinguish each networked device 10 with abnormal identity as a group abnormality of a brand (eg: X brand), an abnormality of the installation area group (for example: OO area) or a device program programming time point The results of the analysis of the first population characteristics such as population anomalies (for example: XX, 2021), etc., but not limited to the above.

In one embodiment, the group data configuration abnormality detection unit 544 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 program burning time point, etc.) to analyze to generate the second group characteristic analysis result, and start the notification process to notify the maintenance unit or the weight unit 9 . For example, the group data configuration abnormality detection unit 544 can distinguish each networked device 10 with abnormal data configuration into the brand group abnormality (for example: X brand), the installation area group abnormality (for example: OO area), the material specification group Abnormalities (eg: version 1.x) or group exceptions at the time of device program programming (eg: XX, 2021) and other characteristics of the second group analysis results, but not limited to the above.

FIG. 2 is a schematic diagram of the workflow of real-time device identification and connection at the front-end of the networked device management module in the networked device dynamic detection system 1 and the method thereof of the present invention, and is also described 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 state of the communication device 20 (eg, the field area network FAN) of each networked device 10 enters the sleep mode or the timed active connection mode.

In step S22, the networked device interface unit 511 of the networked device management module 51 periodically automatically analyzes (eg, automatically detects and analyzes) whether the connection status of each networked device 10 is online (connected) or offline. If the connection status is online (connected), proceed to step S23; otherwise, if the connection status is offline (offline), go back to step S21 and wait for the networked device management module 51 to perform the next automated 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, go to step S24; otherwise, if re-registration is not required, go to step S25.

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

3 is a schematic diagram of the workflow of the dynamic identification and retrieval of front-end data of the networked device management module in the networked device dynamic detection system 1 and the method thereof of the present invention, and a And refer to Figure 1 for description. As shown in Figure 3, the workflow of the front-end data dynamic identification and its retrieval 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 has been completed in each networked device 10, the process goes to step S32; otherwise, if the authentication process worker has not been completed in each networked device 10, the process goes to 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 (eg, data object configuration list information) of each networked device 10 .

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

In step S34, the network device data configuration capture unit 513 uses the cache technology to perform data configuration file creation.

In step S35, the networked device data value acquisition unit 514 analyzes the latest successful reading record of each networked device 10, so as to automatically obtain the periodic data value in the missing value interval.

In step S36, the networked device information corresponding to data unit 515 networked device information extraction unit 513 configuration, the values of configuration data and numerical data networking equipment from the extraction unit 514 for the key - values correspond, to form a networked device data set .

FIG. 4 is a schematic diagram of the work flow of the abnormal detection of device identity in the dynamic detection system 1 of the networked device and the method thereof of the present invention, and is described with reference to FIG. 1 . As shown in Figure 4, the workflow of the device identity anomaly detection has the following steps:

In step S41 , the networked device interface unit 511 of the networked device management module 51 automatically analyzes the network connection status of each networked 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 process. 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 abnormality detection unit 541 of the obstacle detection module 54 compares the first identification code (Device_UUID) of each networked device 10 and the second identification code (Module_UUID) of each communication device 20 through automatic analysis, In order to confirm the binding state of each networked 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 abnormality 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 headend system core module 52 .

In step S45 , the device identity abnormality detection unit 541 confirms that each networked device 10 and its corresponding communication device 20 are in abnormal binding state, which means that they are not legally managed by the headend system core module 52 .

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

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

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

In step S52, the abnormality detection unit 542 of the data configuration 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 corresponding 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 abnormality detection unit 542 further analyzes whether necessary information in the data configuration exists. If the necessary information in the data configuration of the networking device 10 exists, go to step S54; otherwise, if the necessary information in the data configuration of the networking device 10 does not exist, go to step S55.

In step S54, the data configuration representing the networked device 10 is normal.

In step S55, the data configuration representing the networked device 10 is abnormal.

In step S56 , the abnormal networked device 10 is added to the device identity exception list by the data configuration abnormality detection unit 542 , and a notification process is started to notify the maintenance unit or the weight unit 9 .

FIG. 6 is a schematic diagram of the workflow of the abnormal detection of group device identities in the system 1 for dynamic detection of networked devices and the method thereof according to the present invention, and is also described with reference to FIG. 1 . As shown in Figure 6, the workflow of the group device identity anomaly detection has the following steps:

In step S61, the group device identity abnormality detection unit 543 of the obstacle detection module 54 analyzes the correlation between each networked device 10 with abnormal identity, so as to detect different The same group characteristics (such as brand, installation area, device programming time point, etc.) are analyzed.

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

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

FIG. 7 is a schematic diagram of the workflow of the abnormal detection of group data configuration in the system 1 for dynamic detection of networked devices and the method thereof of the present invention, and is described with reference to FIG. 1 . As shown in Figure 7, the workflow of the data configuration abnormality detection has the following steps:

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

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

In step S73 , the group data configuration abnormality 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, The computer-readable medium can be executed by a processor and/or memory using the computing device or computer, so as to execute the above-mentioned methods and steps when the computer-readable medium is executed.

To sum up, the networked device management module of the present invention automatically reads and confirms the identity of the networked device on the online networked device, and the identification code (Device_UUID) of the networked device passes through the high-security (HLS) authentication process, so that Protect the transmission and reception of confidential orders and data. Then, automatically read the data configuration of the networked devices on a regular basis to complete the latest data configuration file creation, and quickly and accurately screen individuals and groups through device identity anomaly detection and data configuration anomaly detection Abnormal equipment, in addition to solving the problems of equipment authentication failure or incorrect data format correspondence caused by different versions of networked equipment, equipment not burning data configuration according to document specifications, and irregular modification of technical specification content, it can also immediately notify maintenance and operation. and the responsible unit to carry out the inspection and repair of individual/group abnormal equipment.

Furthermore, the present invention automatically performs identity confirmation and abnormality detection for each networked device through the obstacle detection module. Therefore, compared with the prior art by manually setting 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 codes (Module_UUID) of multiple communication devices correspond to the identification code (Device_UUID) of a single networked device, which leads to a non-unique link between the identification codes (Module_UUID and Device_UUID), which affects device management and data retrieval. The obstacle detection module can quickly and accurately find abnormal networked devices, and further confirm the identity legality of the connected devices, screen out the networked devices with abnormal identities (individual or group), and notify the maintenance unit and its rights and responsibilities Units (for example: power companies, watch factories) conduct abnormal equipment detection, so that only networked devices with legal identities can be managed, so as to facilitate the subsequent acquisition of 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 abnormalities generated by networked device data (such as data configuration, etc.) 1. The equipment fails to record the data configuration in accordance with the technical specification documents and the technical specification content is modified from time to time, resulting in equipment certification failure or incorrect data format correspondence.

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

3. The present invention performs identity anomaly detection for individual or group networked devices. Through automatic analysis of the matching consistency between communication devices and networked devices, the networked device identity anomalies are detected, so as to solve the problem of programming errors caused by manual operations. The problem of repeated equipment identities caused by abnormal equipment identities, and further analysis of group equipment anomalies, to quickly screen abnormal groups such as regional anomalies and specific brand anomalies.

4. The present invention performs abnormal data configuration detection for individual or group networked devices. By reading the latest data configuration, a large number of networked devices with abnormal data configuration due to manual settings can be screened out in real time, avoiding regular data uploading. It is only after the equipment data management subsystem that the problem of incorrect data object setting is found, and further group equipment anomaly analysis is carried out to quickly screen abnormal groups such as regional anomalies, specific brand anomalies, and specific material specification version anomalies.

The above-mentioned embodiments are only used to illustrate the principle and effect of the present invention, but are not intended to limit the present invention. Anyone skilled in the art can make the invention without departing from the spirit and scope of the present invention. Under the domain, modifications and changes are made to the above-mentioned embodiments. Therefore, the protection scope of the present invention should be listed in the scope of the patent application.

1: Networked device 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: Networked equipment interface unit

512: Networked device identification unit

513: Network device data configuration capture unit

514: Network device data value acquisition unit

515: Corresponding unit for networking equipment data

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 abnormality detection unit

543: Group Device Identity Abnormal Detection Unit

544: Group data configuration abnormal detection unit

9: Maintenance unit or weight unit

Claims (17)

A networked device dynamic detection system, comprising: Plural 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 head terminal system, which communicates and connects each of the networked devices through each of the communication devices, and the head terminal system further includes: A networked device management module that regularly analyzes the connection status of each of the networked devices and analyzes whether re-registration is required. When the connection status of at least one of the networked devices is online and does not need to be re-registered, the The device management module performs high-security authentication on the first identification code of each networked device, thereby completing the device identification and connection work. The networked device management module further regularly reads the data configuration and data value of each of the networked devices, so as to perform key-value correspondence between the data configuration and data value of each of the networked devices, so as to form a networked device data set. The networked device dynamic detection system according to 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 networked device The networked device data of at least one of the devices is used to generate the first identification code of at least one of the connected devices for registration, and then perform high-security authentication operations. The dynamic detection system for networked devices as claimed in claim 1, wherein the head-terminal system further comprises an obstacle detection module, which analyzes and compares the first identification codes of the networked devices and their corresponding communication The second identification code of the device to confirm whether the binding state of each of the networked devices and their corresponding communication devices is normal or abnormal. The networked device dynamic detection system according to claim 3, wherein when the binding state is abnormal, the obstacle detection module adds the abnormal networked device to the device identity abnormality list to start a notification operation. The networked device dynamic detection system according to claim 3, wherein the obstacle detection module further analyzes the data configuration of each of the networked devices obtained by the networked device management module to confirm the Whether the data configuration complies with the data configuration defined in the version material specification, if not, the obstacle detection module will add the abnormal networked device to the device identity abnormal list to start the notification operation. The networked device dynamic detection system according to claim 3, wherein the obstacle detection module analyzes the correlation between the networked devices with abnormal identities, and analyzes the characteristics of different groups, so as to generate the information according to them. 1. The first group characteristic analysis result, and then start the notification operation. The networked device dynamic detection system according to claim 3, wherein the obstacle detection module analyzes the correlation between the networked devices with abnormal data configuration, and analyzes the characteristics of different groups to determine Then, a second group characteristic analysis result is generated, and then the notification operation is started. The networked device dynamic detection system according to claim 1, wherein the head-end system further comprises 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 devices, comprising: Connecting a plurality of networked devices each having a first identification code through a plurality of communication devices each having a second identification code through a terminal system; The networked device management module in the head-end terminal system 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 first identification code of each networked device will be authenticated with high security by the networked device management module to complete the device identification and connection work; The data configuration and data value of each networked device are regularly read by the networked device management module, so that the data configuration and data value of each of the networked devices are key-valued to form a networked device data set. The method for dynamic detection of connected devices according to claim 9, wherein when the connection status of at least one of the connected devices is online and needs to be re-registered, the connected device management module reads and identifies each of the connected devices. The networking device data of at least one of the networking devices is used to generate the first identification code of at least one of the networking devices for registration, and then perform high-security authentication operations. The method for dynamic detection of networked devices as claimed in claim 9, wherein the head-terminal system further comprises an obstacle detection module, so that the obstacle detection module analyzes and compares the first identification codes of the networked devices and The corresponding second identification code of each communication device is used to confirm whether the binding state of each network device and its corresponding communication device is normal or abnormal. The method for dynamic detection of networked devices according to claim 11, wherein when the binding state is abnormal, the obstacle detection module adds the abnormal networked devices to the list of abnormal device IDs to start a notification operation. The method for dynamic detection of networked devices according to claim 11, wherein the obstacle detection module further analyzes the data configuration of each of the networked devices obtained by the networked device management module to confirm each of the networked devices Whether the configuration of the data conforms to the data defined in the material specification of its version Configuration, if it does not conform, the obstacle detection module will add the abnormal network device to the device identity abnormal list, and then start the notification operation. The method for dynamic detection of networked devices according to claim 11, wherein the obstacle detection module analyzes the correlation between the networked devices with abnormal identities, and analyzes the characteristics of different groups, so as to Generate a first group characteristic analysis result, and then start the notification operation. The method for dynamic detection of networked devices according to claim 11, wherein the obstacle detection module analyzes the correlation between the networked devices with abnormal data configuration, and analyzes the characteristics of different groups to According to the result, a second group characteristic analysis result is generated, and then the notification operation is started. The method for dynamic detection of a networked device according to claim 9, wherein the head-end system further comprises 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, applied in a computing device or a computer, stores an instruction to execute the method for dynamic detection of a networked device as described in any one of claim 9 to 16.

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