Method, device and equipment for extracting operation anomaly features of smart measurement device

Abstract

The application relates to an intelligent measurement device operation exception feature extraction method, device and equipment, which comprises the following steps: extracting electric energy meter operation exception feature information through an intelligent electric energy meter, sending the electric energy meter operation exception feature information to a metering automation system through a carrier wave communication module and an edge intelligent terminal; extracting carrier wave communication module operation exception feature information through the carrier wave communication module, and sending the carrier wave communication module operation exception feature information to the metering automation system through the edge intelligent terminal; extracting edge intelligent terminal operation exception feature information through the edge intelligent terminal, and sending the edge intelligent terminal operation exception feature information to the metering automation system, thereby improving the monitoring efficiency of the measurement device operation state.

Description

Technical Field

[0001] This application relates to the field of power equipment technology, and in particular to a method, apparatus, computer equipment, and computer-readable storage medium for extracting abnormal operating features of intelligent measuring equipment. Background Technology

[0002] In the power industry, intelligent metering equipment typically refers to a series of devices that realize electricity metering, electricity data acquisition, calculation, and transmission. These include smart meters, carrier communication modules, and edge intelligent terminals. Smart meters are primarily responsible for electricity metering, carrier communication modules are mainly responsible for local communication between the meters and edge intelligent terminals, and edge intelligent terminals are primarily responsible for data acquisition and edge computing from all meters in the low-voltage distribution area (usually dozens to hundreds of units). Finally, the edge intelligent terminals report the relevant data to the metering automation system for data processing and application.

[0003] In related technologies, metrological automation systems need to process the raw data of all measuring equipment operation data. The data volume is very large and the processing time is long, resulting in low efficiency of metrological automation systems in monitoring the operating status of measuring equipment. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, computer equipment, and computer-readable storage medium for extracting abnormal features of intelligent measuring equipment that can improve the efficiency of monitoring the operating status of measuring equipment, in order to address the above-mentioned technical problems.

[0005] Firstly, this application provides a method for extracting abnormal operating features of intelligent measuring equipment, applied to intelligent measuring equipment including a smart energy meter, a carrier communication module, and an edge intelligent terminal. The smart energy meter is communicatively connected to the carrier communication module, the carrier communication module is communicatively connected to the edge intelligent terminal, and the edge intelligent terminal is communicatively connected to a metering automation system. The method includes:

[0006] The abnormal operation characteristics of smart energy meters are extracted and then sent to the metering automation system via a carrier communication module and an edge smart terminal.

[0007] The abnormal operation feature information of the carrier communication module is extracted by the carrier communication module, and the abnormal operation feature information of the carrier communication module is sent to the metering automation system via the edge intelligent terminal;

[0008] The edge intelligent terminal extracts abnormal operation feature information and sends it to the metering automation system. The metering automation system is used to monitor the status of intelligent measuring equipment based on the abnormal operation feature information of the electricity meter, the carrier communication module, and the edge intelligent terminal.

[0009] In one embodiment, abnormal operation feature information of the smart energy meter is extracted, including:

[0010] The system obtains electricity meter operation data through smart meters, categorizes the electricity meter operation data, and obtains the corresponding electricity meter operation data for each category.

[0011] Abnormal feature information is extracted from the operating data of electricity meters corresponding to each category to obtain abnormal operating feature information of electricity meters.

[0012] In one embodiment, abnormal operation characteristic information of the carrier communication module is extracted through the carrier communication module, including:

[0013] The carrier communication module acquires equipment asset information and communication network topology information according to a preset cycle.

[0014] The device asset information whose node information has changed is identified as abnormal operation characteristic information of the carrier communication module; and / or,

[0015] The communication network topology information that changes at the network level is identified as abnormal operation characteristic information of the carrier communication module.

[0016] In one embodiment, extracting abnormal operation feature information of the edge intelligent terminal through the edge intelligent terminal includes:

[0017] Alarm data is acquired through edge intelligent terminals, and abnormal feature information is extracted from the alarm data to obtain abnormal feature information of edge intelligent terminal operation.

[0018] In one embodiment, after obtaining the abnormal operation characteristics information of the edge smart terminal, the method further includes:

[0019] The operating status of the edge intelligent terminal is determined by using abnormal operating characteristics information of the edge intelligent terminal.

[0020] In one embodiment, the abnormal operation characteristics of the electricity meter, the abnormal operation characteristics of the carrier communication module, and the abnormal operation characteristics of the edge intelligent terminal are sent to the metering automation system via the edge intelligent terminal, including:

[0021] By packaging the abnormal operation characteristics of the electricity meter, the abnormal operation characteristics of the carrier communication module, and the abnormal operation characteristics of the edge intelligent terminal, a file of abnormal operation characteristics of the measuring equipment is obtained.

[0022] The abnormal operation characteristic information file of the measuring equipment is compressed to obtain a compressed file;

[0023] According to the preset communication protocol, the compressed file is framed into communication messages to obtain communication protocol messages, which are then sent to the metering automation system.

[0024] In one embodiment, before extracting abnormal feature information of the carrier communication module through the carrier communication module, the method further includes:

[0025] The edge intelligent terminal receives the target task sent by the metering automation system and forwards the target task to the smart energy meter and the carrier communication module. The target task is used to instruct the smart energy meter, the carrier communication module, and the edge intelligent terminal to extract their own abnormal operation feature information.

[0026] Secondly, this application also provides a device for extracting abnormal operation features of intelligent measuring equipment, applied to intelligent measuring equipment. The intelligent measuring equipment includes a smart energy meter, a carrier communication module, and an edge intelligent terminal. The smart energy meter is communicatively connected to the carrier communication module, the carrier communication module is communicatively connected to the edge intelligent terminal, and the edge intelligent terminal is communicatively connected to a metering automation system. The device includes:

[0027] The electricity meter operation abnormality feature information extraction module is used to extract electricity meter operation abnormality feature information through smart electricity meters, and send the electricity meter operation abnormality feature information to the metering automation system via carrier communication module and edge smart terminal;

[0028] The abnormal feature information extraction module for the carrier communication module is used to extract abnormal feature information of the carrier communication module through the carrier communication module, and send the abnormal feature information of the carrier communication module to the metering automation system via the edge intelligent terminal.

[0029] The edge intelligent terminal operation anomaly feature information extraction module is used to extract edge intelligent terminal operation anomaly feature information through the edge intelligent terminal and send the edge intelligent terminal operation anomaly feature information to the metering automation system;

[0030] The metering automation system is used to monitor the status of smart metering equipment based on abnormal operating characteristics of electricity meters, abnormal operating characteristics of carrier communication modules, and abnormal operating characteristics of edge smart terminals.

[0031] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method steps of the first aspect.

[0032] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method steps of the first aspect.

[0033] The aforementioned method, apparatus, computer equipment, and computer-readable storage medium for extracting abnormal operating features of intelligent measuring devices extract abnormal operating feature information of smart energy meters, and transmit this information to a metering automation system via a carrier communication module and an edge intelligent terminal; extract abnormal operating feature information of the carrier communication module via the carrier communication module, and transmit this information to the metering automation system via the edge intelligent terminal; extract abnormal operating feature information of the edge intelligent terminal via the edge intelligent terminal, and transmit this information to the metering automation system; wherein, the metering automation system is used to monitor the status of the intelligent measuring devices based on the abnormal operating feature information of the energy meters, the carrier communication module, and the edge intelligent terminal. As can be seen from the above, the embodiments of this application make full use of the computing power resources of each measuring device to extract its own abnormal operation feature information. The edge intelligent terminal only reports the abnormal operation feature information of each measuring device, and does not report the original data of the operating data of each measuring device, thereby greatly reducing the amount of reported data. This enables the metering automation system to monitor the operating status of the measuring devices quickly, accurately and in real time, and realize the intelligent operation and maintenance of the measuring devices at low cost and high efficiency. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is an application environment diagram of a method for extracting abnormal operation features of an intelligent measurement device in one embodiment.

[0036] Figure 2 This is a flowchart illustrating a method for extracting operational anomaly features of an intelligent measurement device in one embodiment.

[0037] Figure 3 This is a schematic diagram of the architecture of a method for extracting abnormal operation features of an intelligent measurement device in one embodiment;

[0038] Figure 4 This is a structural block diagram of an abnormal operation feature extraction device for an intelligent measurement device in one embodiment;

[0039] Figure 5 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0041] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0042] The method for extracting abnormal operating features of intelligent measurement devices provided in this application embodiment can be applied to, for example... Figure 1 The application environment shown. The intelligent measurement equipment includes a smart energy meter 102, a carrier communication module 104, and an edge intelligent terminal 106. The smart energy meter 102 is communicatively connected to the carrier communication module 104, the carrier communication module 104 is communicatively connected to the edge intelligent terminal 106, and the edge intelligent terminal 106 is communicatively connected to the metering automation system 108. The smart energy meter 102 extracts abnormal operating characteristic information and sends this information to the metering automation system 108 via the carrier communication module 104 and the edge intelligent terminal 106. Similarly, the carrier communication module 104 extracts abnormal operating characteristic information and sends it to the metering automation system 108 via the edge intelligent terminal 106. Finally, the edge intelligent terminal 106 extracts abnormal operating characteristic information and sends it to the metering automation system 108. The metering automation system 108 monitors the status of the intelligent measurement equipment based on the abnormal operating characteristic information of the energy meter, the carrier communication module, and the edge intelligent terminal.

[0043] In one embodiment, such as Figure 2 As shown, a method for extracting operational anomaly features of an intelligent measurement device is provided. This method includes the following steps:

[0044] Step S210: Extract abnormal operation feature information of the smart energy meter through the smart energy meter, and send the abnormal operation feature information of the energy meter to the metering automation system through the carrier communication module and the edge smart terminal.

[0045] In the embodiments of this application, such as Figure 3As shown, the smart meter is based on a unified e-commerce platform and is equipped with an algorithm for extracting abnormal features of smart metering equipment. This algorithm extracts abnormal feature information from the raw data of the smart meter's operation, thus obtaining abnormal operation feature information. The e-commerce platform refers to a software platform with the e-commerce operating system HarmonyOS installed.

[0046] The smart meter sends abnormal operating characteristics information to the edge smart terminal through the carrier communication module, and the edge smart terminal reports the abnormal operating characteristics information to the metering automation system.

[0047] Step S220: Extract abnormal operation feature information of the carrier communication module through the carrier communication module, and send the abnormal operation feature information of the carrier communication module to the metering automation system via the edge intelligent terminal.

[0048] In this embodiment, the carrier communication module is based on a unified Dianhong platform and is equipped with an intelligent measurement device operation anomaly feature extraction algorithm. Using this algorithm, abnormal feature information is extracted from the raw data of the carrier communication module operation data to obtain abnormal feature information of the carrier communication module operation.

[0049] The carrier communication module sends abnormal operation information to the edge intelligent terminal, which then reports the abnormal operation information to the metering automation system.

[0050] Step S230: Extract abnormal operation feature information of the edge intelligent terminal through the edge intelligent terminal, and send the abnormal operation feature information of the edge intelligent terminal to the metering automation system;

[0051] The metering automation system is used to monitor the status of smart metering equipment based on abnormal operating characteristics of electricity meters, abnormal operating characteristics of carrier communication modules, and abnormal operating characteristics of edge smart terminals.

[0052] In this embodiment, the edge intelligent terminal is based on a unified e-commerce platform and is equipped with an algorithm for extracting abnormal features of intelligent measurement equipment. This algorithm is used to extract abnormal feature information from the raw data of the edge intelligent terminal's operation, obtaining abnormal feature information of the edge intelligent terminal. This abnormal feature information of the edge intelligent terminal is then reported to the metering automation system.

[0053] The above-mentioned method for extracting abnormal operation features of intelligent measuring devices fully utilizes the computing resources of each measuring device (smart meter, carrier communication module, edge intelligent terminal) to extract its own abnormal operation feature information. The edge intelligent terminal only reports the abnormal operation feature information of each measuring device, without reporting the raw data of each measuring device's operation data, thereby significantly reducing the amount of reported data. This enables the metering automation system to monitor the operating status of the measuring devices quickly, accurately, and in real time, and to achieve intelligent operation and maintenance of the measuring devices at low cost and high efficiency.

[0054] In one embodiment, before extracting abnormal feature information of the carrier communication module through the carrier communication module, the method further includes:

[0055] The edge intelligent terminal receives the target task sent by the metering automation system and forwards the target task to the smart energy meter and the carrier communication module. The target task is used to instruct the smart energy meter, the carrier communication module, and the edge intelligent terminal to extract their own abnormal operation feature information.

[0056] In this embodiment, the user can configure a target task in the metering automation system. The metering automation system then sends the target task to the edge intelligent terminal, which in turn sends the target task to the carrier communication module and the smart meter, so that the smart meter, the carrier communication module, and the edge intelligent terminal can extract their own abnormal operation feature information.

[0057] In one embodiment, extracting abnormal operating characteristic information of a smart energy meter includes:

[0058] Step S212: Obtain the operation data of the smart energy meter, classify the operation data of the smart energy meter, and obtain the corresponding operation data of the smart energy meter for each category.

[0059] The categories of electricity meter operation data include: major faults and anomalies, suspected electricity theft, clock anomalies, and other categories. Major faults and anomalies include metering chip failure, memory failure, load switch malfunction, suspected base meter reset, and meter code error. Suspected electricity theft includes meter cover opening, abnormal neutral current, meter code stoppage, meter code reversal, and suspected electricity theft. Clock anomalies include clock failure, low clock battery voltage, broadcast time synchronization, clock setting, and time anomalies. Other categories include power supply anomalies, uplink communication module anomalies, Bluetooth communication failures, ESAM failures, A-phase overcurrent, B-phase overcurrent, C-phase overcurrent, excessive internal temperature, power outages, and low battery voltage during power outage meter readings.

[0060] Step S214: Extract abnormal feature information from the operating data of the electricity meters corresponding to each category to obtain abnormal operating feature information of the electricity meters.

[0061] In this embodiment of the application, an abnormal feature information extraction algorithm is used to extract abnormal feature information from the operating data of electricity meters corresponding to each category, thereby obtaining abnormal feature information of electricity meter operation. For example, for "metering chip failure", the extracted feature data are "total cumulative number of occurrences, the time of the most recent occurrence, and the duration of the most recent occurrence".

[0062] In one embodiment, extracting abnormal operation characteristic information of the carrier communication module through the carrier communication module includes:

[0063] Step S222: Obtain equipment asset information and communication network topology information through the carrier communication module according to a preset period.

[0064] The preset period can be set according to actual needs. For example, the preset period is 1 day.

[0065] The equipment asset information includes the equipment manufacturer, hardware version number, and software version number.

[0066] Among them, the communication network topology information is used to represent the network hierarchy structure of the communication network, including node address, topology level, signal quality, node current cycle communication success rate, previous topology level, signal quality, and node previous cycle communication success rate.

[0067] Step S224: Identify the device asset information whose node information has changed as abnormal characteristic information of the carrier communication module operation; and / or,

[0068] In this embodiment, the node information includes the asset MAC address, BOOT version number, software version number and release time, vendor code, and chip code. The current node information is compared with historical node information to determine if the node information has changed. Device asset information whose node information has changed is identified as abnormal operation characteristic information of the carrier communication module.

[0069] Step S226: The communication network topology information where the network layer has changed is identified as abnormal operation characteristic information of the carrier communication module.

[0070] In this embodiment, the current network layer is compared with the historical network layer to determine whether the network layer has changed. The communication network topology information where the network layer has changed is identified as abnormal operation characteristic information of the carrier communication module.

[0071] In one embodiment, extracting abnormal operation feature information of the edge intelligent terminal through the edge intelligent terminal includes:

[0072] Step S232: Obtain alarm data through the edge intelligent terminal, extract abnormal feature information from the alarm data, and obtain abnormal feature information of the edge intelligent terminal operation.

[0073] The alarm data includes terminal metering stoppage, terminal metering flyaway, terminal metering reversal, equipment power failure, equipment power-on, clock battery voltage too low, metering transformer rate change, voltage loss, voltage loss, current phase loss, load overload, overvoltage, current overcurrent, excessive zero-sequence current, current reverse polarity, voltage reverse sequence, backup battery abnormality, operating system abnormality alarm, and micro-application abnormality alarm.

[0074] In this embodiment, the edge intelligent terminal uses an abnormal operation feature extraction algorithm to extract abnormal feature information from alarm data, thereby obtaining abnormal operation feature information of the edge intelligent terminal. For example, for "terminal metering stoppage", the extracted feature data are "alarm occurrence time, total number of times, most recent alarm occurrence time, voltage, current, positive active power indication value, and reverse active power indication value".

[0075] In one embodiment, after obtaining the abnormal operation characteristics information of the edge smart terminal, the method further includes:

[0076] Step S234: Determine the operating status of the edge intelligent terminal based on the abnormal operating characteristics information of the edge intelligent terminal.

[0077] In this embodiment of the application, the abnormal operation feature information of the edge intelligent terminal can be compared with a preset indicator threshold. When the preset indicator threshold is exceeded, the operation state of the edge intelligent terminal is determined to be abnormal.

[0078] In one embodiment, the abnormal operation characteristics of the electricity meter, the abnormal operation characteristics of the carrier communication module, and the abnormal operation characteristics of the edge intelligent terminal are sent to the metering automation system via the edge intelligent terminal, including:

[0079] Step S310: The abnormal operation feature information of the electricity meter, the abnormal operation feature information of the carrier communication module, and the abnormal operation feature information of the edge intelligent terminal are packaged into data to obtain the abnormal operation feature information file of the measuring equipment.

[0080] Step S320: Compress the data of the abnormal operation feature information file of the measurement equipment to obtain the compressed file.

[0081] In this embodiment, the edge intelligent terminal uses lossless data compression to compress the abnormal operation feature information file of the measurement device to obtain a compressed file. The lossless data compression method includes compression algorithms such as zip, snappy, and Huffman.

[0082] Step S330: According to the preset communication protocol, the compressed file is framed into communication messages to obtain communication protocol messages, and the communication protocol messages are sent to the metering automation system.

[0083] The preset communication protocols include, but are not limited to, MQTT, HTTPS, and TCP.

[0084] In this embodiment, the edge intelligent terminal converts the compressed file into a communication protocol message and sends the communication protocol message to the metering automation system.

[0085] This application embodiment can improve data transmission efficiency by packaging, compressing, and converting the abnormal operation feature information.

[0086] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0087] Based on the same inventive concept, this application also provides an intelligent measurement device for implementing the above-described method for extracting operational anomaly features of intelligent measurement devices. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the intelligent measurement device for extracting operational anomaly features provided below can be found in the limitations of the intelligent measurement device for extracting operational anomaly features described above, and will not be repeated here.

[0088] In one exemplary embodiment, please refer to Figure 4 This invention provides a device for extracting abnormal operating features of intelligent measuring equipment. The intelligent measuring equipment includes a smart energy meter, a carrier communication module, and an edge intelligent terminal. The smart energy meter is communicatively connected to the carrier communication module, the carrier communication module is communicatively connected to the edge intelligent terminal, and the edge intelligent terminal is communicatively connected to a metering automation system. The device includes:

[0089] The electricity meter operation abnormality feature information extraction module 410 is used to extract electricity meter operation abnormality feature information through smart electricity meters, and send the electricity meter operation abnormality feature information to the metering automation system via carrier communication module and edge smart terminal;

[0090] The abnormal operation feature information extraction module 420 of the carrier communication module is used to extract abnormal operation feature information of the carrier communication module through the carrier communication module, and send the abnormal operation feature information of the carrier communication module to the metering automation system via the edge intelligent terminal.

[0091] The edge intelligent terminal operation abnormality feature information extraction module 430 is used to extract edge intelligent terminal operation abnormality feature information through the edge intelligent terminal and send the edge intelligent terminal operation abnormality feature information to the metering automation system;

[0092] The metering automation system is used to monitor the status of smart metering equipment based on abnormal operating characteristics of electricity meters, abnormal operating characteristics of carrier communication modules, and abnormal operating characteristics of edge smart terminals.

[0093] In one embodiment, abnormal operation feature information of the smart energy meter is extracted, including:

[0094] The system obtains electricity meter operation data through smart meters, categorizes the electricity meter operation data, and obtains the corresponding electricity meter operation data for each category.

[0095] Abnormal feature information is extracted from the operating data of electricity meters corresponding to each category to obtain abnormal operating feature information of electricity meters.

[0096] In one embodiment, abnormal operation characteristic information of the carrier communication module is extracted through the carrier communication module, including:

[0097] The carrier communication module acquires equipment asset information and communication network topology information according to a preset cycle.

[0098] The device asset information whose node information has changed is identified as abnormal operation characteristic information of the carrier communication module; and / or,

[0099] The communication network topology information that changes at the network level is identified as abnormal operation characteristic information of the carrier communication module.

[0100] In one embodiment, extracting abnormal operation feature information of the edge intelligent terminal through the edge intelligent terminal includes:

[0101] Alarm data is acquired through edge intelligent terminals, and abnormal feature information is extracted from the alarm data to obtain abnormal feature information of edge intelligent terminal operation.

[0102] In one embodiment, after obtaining the abnormal operation characteristics information of the edge smart terminal, the method further includes:

[0103] The operating status of the edge intelligent terminal is determined by using abnormal operating characteristics information of the edge intelligent terminal.

[0104] In one embodiment, the abnormal operation characteristics of the electricity meter, the abnormal operation characteristics of the carrier communication module, and the abnormal operation characteristics of the edge intelligent terminal are sent to the metering automation system via the edge intelligent terminal, including:

[0105] By packaging the abnormal operation characteristics of the electricity meter, the abnormal operation characteristics of the carrier communication module, and the abnormal operation characteristics of the edge intelligent terminal, a file of abnormal operation characteristics of the measuring equipment is obtained.

[0106] The abnormal operation characteristic information file of the measuring equipment is compressed to obtain a compressed file;

[0107] According to the preset communication protocol, the compressed file is framed into communication messages to obtain communication protocol messages, which are then sent to the metering automation system.

[0108] In one embodiment, before extracting abnormal feature information of the carrier communication module through the carrier communication module, the method further includes:

[0109] The edge intelligent terminal receives the target task sent by the metering automation system and forwards the target task to the smart energy meter and the carrier communication module. The target task is used to instruct the smart energy meter, the carrier communication module, and the edge intelligent terminal to extract their own abnormal operation feature information.

[0110] Each module in the above-mentioned intelligent measurement device's abnormal operation feature extraction device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0111] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 5As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When executed by the processor, the computer program implements a method for extracting abnormal features of an intelligent measurement device. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0112] Those skilled in the art will understand that Figure 5 The structures shown are merely block diagrams of some structures related to the present application and do not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than shown in the figures, or combine certain components, or have different component arrangements. In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the above-described method for extracting operational anomaly features of an intelligent measurement device. The steps of the method for extracting operational anomaly features of an intelligent measurement device described above may be steps from the methods for extracting operational anomaly features of an intelligent measurement device in the various embodiments described above.

[0113] In one embodiment, a computer-readable storage medium is provided, storing a computer program that, when executed by a processor, causes the processor to perform the steps of the above-described method for extracting operational anomaly features of an intelligent measurement device. The steps of this method for extracting operational anomaly features of an intelligent measurement device may be the steps in the methods for extracting operational anomaly features of an intelligent measurement device described in the various embodiments above.

[0114] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, causes the processor to perform the steps of the above-described method for extracting operational anomaly features of an intelligent measurement device. The steps of this method for extracting operational anomaly features of an intelligent measurement device may be the steps in the methods for extracting operational anomaly features of an intelligent measurement device described in the various embodiments above.

[0115] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0116] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0117] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0118] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for extracting an operation anomaly feature of a smart metering device, the method comprising: The method is applied to the aforementioned intelligent measuring device, which includes a smart energy meter, a carrier communication module, and an edge intelligent terminal. The smart energy meter is communicatively connected to the carrier communication module, the carrier communication module is communicatively connected to the edge intelligent terminal, and the edge intelligent terminal is communicatively connected to a metering automation system. The method includes: The abnormal operation feature information of the smart energy meter is extracted and then sent to the metering automation system via the carrier communication module and the edge smart terminal. The abnormal operation feature information of the carrier communication module is extracted by the carrier communication module, and the abnormal operation feature information of the carrier communication module is sent to the metering automation system via the edge intelligent terminal; The edge intelligent terminal extracts abnormal operation feature information and sends the abnormal operation feature information to the metering automation system. The metering automation system is used to monitor the status of the intelligent measuring device based on the abnormal operating characteristics of the electricity meter, the abnormal operating characteristics of the carrier communication module, and the abnormal operating characteristics of the edge intelligent terminal.

2. The method according to claim 1, characterized in that, The step of extracting abnormal operating feature information of the smart energy meter includes: The operation data of the smart energy meter is obtained, and the operation data of the energy meter is classified to obtain the operation data of the energy meter corresponding to each category. Abnormal feature information is extracted from the operating data of the electricity meters corresponding to each category to obtain the abnormal operating feature information of the electricity meters.

3. The method according to claim 1, characterized in that, The step of extracting abnormal operation feature information of the carrier communication module through the carrier communication module includes: The carrier communication module acquires equipment asset information and communication network topology information according to a preset period. The device asset information whose node information has changed is identified as abnormal operating characteristic information of the carrier communication module; and / or The communication network topology information where the network layer changes is identified as abnormal operation characteristic information of the carrier communication module.

4. The method according to claim 1, characterized in that, The step of extracting abnormal operation feature information of the edge intelligent terminal through the edge intelligent terminal includes: Alarm data is acquired through the edge intelligent terminal, and abnormal feature information is extracted from the alarm data to obtain abnormal feature information of the edge intelligent terminal operation.

5. The method according to claim 4, characterized in that, After obtaining the abnormal operation characteristic information of the edge intelligent terminal, the method further includes: The operating status of the edge intelligent terminal is determined by the edge intelligent terminal based on the abnormal operating characteristic information of the edge intelligent terminal.

6. The method according to any one of claims 1 to 5, characterized in that, The edge intelligent terminal sends the abnormal operation characteristics information of the electricity meter, the abnormal operation characteristics information of the carrier communication module, and the abnormal operation characteristics information of the edge intelligent terminal to the metering automation system, including: The edge intelligent terminal packages the abnormal operation feature information of the electricity meter, the abnormal operation feature information of the carrier communication module, and the abnormal operation feature information of the edge intelligent terminal into a data package to obtain a measurement equipment abnormal operation feature information file. The abnormal operation feature information file of the measuring equipment is compressed to obtain a compressed file; According to the preset communication protocol, the compressed file is framed into communication messages to obtain communication protocol messages, and the communication protocol messages are sent to the metering automation system.

7. The method according to any one of claims 1 to 5, characterized in that, Before extracting abnormal feature information of the carrier communication module through the carrier communication module, the method further includes: The edge intelligent terminal receives the target task sent by the metering automation system and forwards the target task to the smart energy meter and the carrier communication module; the target task is used to instruct the smart energy meter, the carrier communication module and the edge intelligent terminal to extract their own abnormal operation feature information.

8. A device for extracting abnormal operating features of an intelligent measurement device, characterized in that, The device is applied to the aforementioned intelligent measuring equipment, which includes a smart energy meter, a carrier communication module, and an edge intelligent terminal. The smart energy meter is communicatively connected to the carrier communication module, the carrier communication module is communicatively connected to the edge intelligent terminal, and the edge intelligent terminal is communicatively connected to a metering automation system. The device includes: The electricity meter operation abnormality feature information extraction module is used to extract electricity meter operation abnormality feature information through the smart electricity meter, and send the electricity meter operation abnormality feature information to the metering automation system through the carrier communication module and the edge smart terminal; A carrier communication module operation anomaly feature information extraction module is used to extract abnormal feature information of the carrier communication module through the carrier communication module, and send the abnormal feature information of the carrier communication module operation to the metering automation system via the edge intelligent terminal; An edge intelligent terminal operation anomaly feature information extraction module is used to extract edge intelligent terminal operation anomaly feature information through the edge intelligent terminal and send the edge intelligent terminal operation anomaly feature information to the metering automation system; The metering automation system is used to monitor the status of the intelligent measuring device based on the abnormal operating characteristics of the electricity meter, the abnormal operating characteristics of the carrier communication module, and the abnormal operating characteristics of the edge intelligent terminal.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

Images