CN115063052A

CN115063052A - Electric energy metering chip-based electric power data processing method and computer equipment

Info

Publication number: CN115063052A
Application number: CN202210984003.8A
Authority: CN
Inventors: 向柏澄; 李鹏; 习伟; 姚浩; 陈军健; 关志华; 张巧惠; 陶伟
Original assignee: Southern Power Grid Digital Grid Research Institute Co Ltd
Current assignee: Southern Power Grid Digital Grid Research Institute Co Ltd
Priority date: 2022-08-16
Filing date: 2022-08-16
Publication date: 2022-09-16
Anticipated expiration: 2042-08-16
Also published as: CN115063052B

Abstract

The application relates to an electric energy metering chip-based electric power data processing method, an electric power data processing device, a computer device, a storage medium and a computer program product. Acquiring first structured and unstructured data from a first power distribution network terminal, wherein the unstructured data are image data and character data; converting the unstructured data into second structured data; analyzing the first and second structured data to obtain results, and making a decision on the results according to a first safety analysis rule to obtain a first decision result; acquiring second power data from a second power distribution network terminal, and making a decision on the second power data according to a second safety analysis rule to obtain a second decision result, wherein the second power data are control and protection signals; and encrypting the first decision result and the second decision result and transmitting the encrypted decision results to the Internet of things unit, wherein the first decision analysis result and the second decision analysis result are used for indicating the Internet of things unit to output decision information to corresponding analysis result receiving ends. By adopting the method, the data processing capacity of the power system can be improved.

Description

Electric energy metering chip-based electric power data processing method and computer equipment

Technical Field

The present application relates to the field of power system technologies, and in particular, to a power data processing method, a power data processing apparatus, a computer device, a storage medium, and a computer program product based on an electric energy metering chip.

Background

Along with the development of the technical field of electric power systems, the operating characteristics of the electric power systems are remarkably changed, and the current novel electric power systems face the problems of difficult grid-connected access, difficult regulation and control and absorption, difficult operation and maintenance monitoring, difficult safety protection and the like.

In order to solve the above problems, generally, data processing is performed on power data in a power system, and then maintenance, monitoring and the like of the power system are realized according to a data processing result.

Disclosure of Invention

In view of the above, it is necessary to provide an electric energy metering chip-based electric power data processing method, an electric power data processing apparatus, a computer device, a storage medium and a computer program product, which can meet the metering requirement of an electric power system.

In a first aspect, the application provides an electric power data processing method based on an electric energy metering chip. The method comprises the following steps:

acquiring first power data from a first power distribution network terminal, wherein the first power data comprises first structured data and unstructured data, and the unstructured data comprises power image data and log text data;

converting the unstructured data in the first power data to obtain second structured data;

performing power analysis based on the first structured data and the second structured data to obtain a power analysis result, and performing decision analysis on the power analysis result according to a first preset safety analysis rule to obtain a first decision analysis result;

acquiring second power data from a second power distribution network terminal, and performing decision analysis on the second power data according to a second preset safety analysis rule to obtain a second decision analysis result, wherein the second power data comprises a control signal and a protection signal;

and encrypting the first decision analysis result and the second decision analysis result and transmitting the encrypted results to an internet of things unit, wherein the first decision analysis result and the second decision analysis result are used for indicating the internet of things unit to output decision information to a corresponding analysis result receiving end.

In one embodiment, the second structured data includes image power feature data and power critical data, and the converting the unstructured data in the first power data into the second structured data includes:

inputting the power image data into a first neural network model to obtain the image power characteristic data;

and extracting the power key data from the log text data based on a pre-constructed knowledge graph.

In one embodiment, the construction method of the knowledge graph includes: acquiring historical log text data; inputting the historical log text data into a second neural network model, and extracting historical power key data in the historical log text data, wherein the historical power key data comprises at least one of key power data or key fault data; and constructing the knowledge graph according to the historical power key data.

In one embodiment, the power analysis includes at least one of power quality analysis or fault analysis; the performing power analysis based on the first structured data and the second structured data to obtain a power analysis result includes:

if the power quality analysis is performed on the first structured data and the second structured data, calculating a power quality parameter based on the first structured data and the second structured data, wherein the power quality parameter is included in the power analysis result;

if the fault analysis is performed on the first structured data and the second structured data, determining a fault parameter related to the first structured data and the second structured data based on the first structured data and the second structured data, wherein the power analysis result includes the fault parameter.

In one embodiment, the first decision analysis result comprises at least one of a power quality determination result or a power failure condition;

the performing decision analysis on the power analysis result according to a first preset safety analysis rule to obtain a first decision analysis result includes:

if the power analysis result is a power quality parameter, judging whether the power quality parameter meets a preset power quality threshold value or not based on a quality analysis rule in the first preset safety analysis rule so as to obtain a power quality judgment result;

if the power analysis result is a fault parameter, analyzing a data change state in the fault data based on a fault analysis rule in the first preset safety analysis rule, and analyzing and determining a power fault condition according to the data change state.

In one embodiment, the second decision analysis result includes at least one of the protection type information or control information;

the performing decision analysis on the second power data according to a second preset safety analysis rule to obtain a second decision analysis result includes:

when the second power data is a protection signal, determining protection type information of the protection signal according to a relay protection control rule in the second preset safety analysis rule;

and when the second power data is a control signal, analyzing according to a control signal analysis rule in the second preset safety analysis rule to obtain control information carried in the control signal.

In a second aspect, the application also provides an electric power data processing device. The device comprises:

the system comprises a data acquisition module, an electric quantity metering system, a general computing system and a safety algorithm system, wherein the data acquisition module is connected with the electric quantity metering system through a protocol interface, and the electric quantity metering system and the safety algorithm system are connected with the general computing system through an on-chip bus;

the data acquisition module is used for acquiring first power data of a first power distribution network terminal and second power data of a second power distribution network terminal, sending the first power data to the electric quantity metering system and sending the second power data to the general computing system, wherein the first power data comprise first structured data and unstructured data, the unstructured data comprise image data and character data, and the second power data comprise control signals and protection signals;

the electric quantity metering system is used for acquiring the first electric power data sent by the data acquisition module, converting unstructured data in the first electric power data to obtain second structured data, performing electric power analysis based on the first structured data and the second structured data to obtain an electric power analysis result, and sending the electric power analysis result to the general computing system;

the general computing system is configured to obtain the power analysis result and the second power data, perform decision analysis on the first power analysis result according to a first preset security analysis rule to obtain a first decision analysis result, perform decision analysis on the second power data according to a second preset security analysis rule to obtain a second decision analysis result, input the first decision analysis result and the second decision analysis result to the security algorithm system, encrypt the first decision analysis result and the second decision analysis result, and transmit the encrypted decision analysis result and the second decision analysis result to the internet of things unit, where the first decision analysis result and the second decision analysis result are used to instruct the internet of things unit to output decision information to a corresponding analysis result receiving end.

In one embodiment, the security algorithm system comprises a shared storage unit and an encryption algorithm unit; the shared storage unit is connected with the encryption algorithm unit, and the general computing system is connected with the shared storage unit through the on-chip bus;

the general-purpose computing system is used for inputting the first decision analysis result and the second decision analysis result into the shared storage unit, and inputting the first decision analysis result and the second decision analysis result into the encryption algorithm unit through the shared storage unit for encryption.

In a third aspect, the present application also provides a computer device. The computer equipment comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the electric energy metering chip-based electric power data processing method when executing the computer program.

In a fourth aspect, the present application further provides a computer-readable storage medium. The computer readable storage medium stores thereon a computer program which, when executed by a processor, implements the steps of the above-described electric power data processing method based on an electric energy metering chip.

In a fifth aspect, the present application further provides a computer program product. The computer program product comprises a computer program, and the computer program realizes the steps of the electric power data processing method based on the electric energy metering chip when being executed by a processor.

According to the electric power data processing method, the electric power data processing device, the computer equipment, the storage medium and the computer program product based on the electric energy metering chip, first electric power data are obtained from a first power distribution network terminal, the first electric power data comprise first structured data and unstructured data, and the unstructured data comprise image data and character data; converting unstructured data in the first power data to obtain second structured data; performing power analysis based on the first structured data and the second structured data to obtain a power analysis result, and performing decision analysis on the power analysis result according to a first preset safety analysis rule to obtain a first decision analysis result; the method comprises the steps of obtaining second electric power data from a second power distribution network terminal, carrying out decision analysis on the second electric power data according to a second preset safety analysis rule, and obtaining a second decision analysis result, wherein the second electric power data comprise a control signal and a protection signal, the first decision analysis result and the second decision analysis result are encrypted and then transmitted to an internet of things unit, and the first decision analysis result and the second decision analysis result are used for indicating the internet of things unit to output decision information to corresponding analysis result receiving ends. Therefore, by acquiring the electric power data of different data sources of the power distribution network terminal, developing analysis aiming at different electric power data, obtaining corresponding data analysis results, on the basis, making a decision on each data analysis result to obtain a decision analysis result, finally encrypting the decision analysis result and sending the decision analysis result to the Internet of things unit, and transmitting the decision analysis result to the corresponding analysis result receiving end by the Internet of things unit.

Drawings

FIG. 1 is a schematic diagram of an embodiment of a power data processing apparatus;

FIG. 2 is a diagram showing an internal structure of a security algorithm system according to an embodiment;

FIG. 3 is a schematic diagram of a system cooperative signal transmission of the electric power data processing apparatus according to an embodiment;

fig. 4 is a schematic diagram of data transmission of a fuel gauge system according to another embodiment;

FIG. 5 is a flow chart illustrating a method for processing power data based on an electric energy metering chip according to an embodiment;

FIG. 6 is a schematic diagram of a decision analysis flow of the general purpose computing system in one embodiment;

FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The power data processing method provided by the embodiment of the application can be applied to the power data processing device shown in fig. 1. The power data processing apparatus shown in fig. 1 is a converged heterogeneous chip architecture, and may be applied to a power system apparatus.

Specifically, as shown in fig. 1, the power data processing apparatus may include a general-purpose computing system 102, a power metering system 104, an on-chip bus network 106, a power-specific high-precision ADC module 108, a security algorithm system 110, a low-power-consumption power management module 112, a storage module 114, and a peripheral module 116, which are integrated on a chip, where different modules may be communicatively connected through the on-chip bus network 106.

In one embodiment, the general purpose computing system 102 employs a high performance computing core for implementing task scheduling among a plurality of modules, specifically, the general purpose computing system 102 may process execution flows of control instructions and control instructions, process non-secure computing operations, and the like, and compared to some basic computing cores, the high performance computing core has a feature of supporting DSP (digital signal processing) instructions, floating point operations, and the like, and the high performance computing core may be an ARM Cortex-M4 (embedded processor), where selection of an actual computing core may be adaptively adjusted according to a specific application scenario.

In one embodiment, the electric quantity metering system 104 may be used for energy management, energy consumption analysis, electric quantity monitoring, and the like, so as to ensure the electrical safety of the power system terminal, where the energy management refers to analyzing the active/reactive flow direction, the electric energy quality, and the like of a branch line where the power system terminal is located; the energy consumption analysis means that line loss analysis of a line is realized by calculating the voltage, current, active power, reactive power and the like of the line where the power system terminal is located; the electric quantity monitoring means monitoring electric energy quality indexes of an electric power system terminal, such as three-phase imbalance, overvoltage, overcurrent, frequency deviation, voltage sag, flicker and the like, and according to the electric energy quality indexes, an early warning signal or a protection action and the like can be sent out, specifically, the electric quantity metering system 104 can comprise an integrated ARM Cortex-M0 (embedded processor) metering core, and the selection of the actual metering core can be adaptively adjusted according to a specific application scene.

In one embodiment, the on-chip bus network 106, including an AXI (bus protocol), an AHB (advanced high performance bus), and an APB (peripheral bus), supports efficient and reliable communication between various peripherals, memory modules, and computing cores, as well as data transfer between the general purpose computing system 102 and the power metering system 104.

In one embodiment, the electric power dedicated high-precision ADC module 108 is configured to acquire a series of unstructured and structured electric power system data such as three-phase ac parameters, wherein a protocol interface is established between the electric power metering system 104 and the electric power dedicated high-precision ADC module 108 for connection, where the protocol interface may be any one or more of multiple protocol interfaces such as SPI (serial peripheral interface), on-chip bus, IIC (serial bus), CAN (controller area network), UART (serial port), and the like, so that efficient data exchange between the electric power dedicated high-precision sampling ADC module 108 and the electric power metering system 104 CAN be achieved, and meanwhile, the electric power dedicated high-precision sampling ADC module 108 CAN be flexibly and replaceably ensured, so that the electric power data processing apparatus is suitable for different electric power system application scenarios.

In one embodiment, the security algorithm system 110 may use a domestic CPU (central processing unit) as a security kernel, and a series of high-security-level national cryptographic algorithms such as SM1 (block cipher algorithm), SM2 (elliptic curve public key cipher algorithm), SM3 (hash algorithm), and SM4 (symmetric algorithm) are used in the security algorithm system to perform a separate encryption operation process on the secure data. The security algorithm system 110 can define a clear security boundary for the chip architecture, and an insecure world outside the security algorithm system 110 executes an insecure state program and a data processing task; the safety algorithm system 110 is a safety world, and the safety algorithm system 110 encrypts data scheduled to be uploaded or communicated, so that safe sharing and reliable flow of information are guaranteed.

In one embodiment, the low power management module 112 may implement power mode control of the general-purpose computing system 102 in different power consumption scenarios, and the general-purpose computing system 102 may support high performance computing, generally with large power consumption, in order for the power data processing apparatus to operate effectively for a long time, it is necessary to manage the power consumption of the general-purpose computing system 102 in different task states to prolong the power source usage time, specifically, when data interaction tasks exist between the general-purpose computing system 102 and other systems, the low power consumption power management module 112 may control the power data processing apparatus to be in a normal mode, when the general-purpose computing system 102 stops data interaction tasks with other systems, the low power management module 112 may control to enter different levels of low power modes, and closing clocks of corresponding computing cores, buses, peripheral equipment and the like, thereby supporting the free switching of the chip between a normal mode and a low power consumption mode.

In one embodiment, the storage module 114 includes various and large-capacity storage units such as Flash memory (Flash memory), Static Random Access Memory (SRAM), and the like, and also includes a high-performance multi-channel DMA (direct memory access) interface, so as to provide more data access task space for the release of the computing core, thereby improving the overall performance of the general computing system 102.

In one embodiment, the peripheral module 116 integrates common peripherals such as UART, GPIO (general purpose input and output), IIC, SPI, and Timer, and thus meets the diversified application scenarios of the intelligent terminal of the power system, and is adapted to the high-performance computing peripheral module to support the high-frequency operation of the computing system.

In one implementation, as shown in fig. 2, a schematic diagram of an internal structure of the security algorithm system 110 according to an embodiment is shown:

the security algorithm system 110 shown in fig. 2 includes a private on-chip interconnect interface and a shared memory, which are a Mailbox (email storage area) and a Share RAM (shared memory), respectively, so that physical security isolation between the security algorithm system 110 and the general-purpose computing system 102 can be achieved, and specifically, the Mailbox connection and the Share RAM are connection modes specific to the security kernel and the general-purpose computing system 102, and can ensure information communication between the general-purpose computing system 102 and the high-security kernel (security algorithm system 110). The Mailbox is a module used for inter-core communication on a multi-core chip, can be called by a multi-core chip, is provided with a plurality of channels and can receive interrupt signals; by sending mail each other, the interrupt notification or the high-speed transmission of a small amount of data can be realized, and the Share RAM is used for storing the data with the general computing system 102 without participating in the security computation, thereby ensuring the data confidentiality of the security kernel.

In one embodiment, as shown in fig. 3, a schematic diagram of signal transmission of the cooperative work of the systems of the power data processing device is shown on the basis of the above embodiment:

the electric power high-precision ADC can collect data of a low-voltage power distribution network terminal of an electric power system, and the collected data are input into the electric quantity metering system and are processed by the electric quantity metering system. The data collected by the electric power high-precision ADC can comprise structured data and unstructured data, and the data finally output to the general computing system by the electric quantity metering system are all structured data.

For the structured data, after receiving the structured data, the general purpose computing system may perform decision analysis on the structured data to obtain a decision analysis result, where the decision analysis may refer to a process of making a corresponding decision according to the power analysis result, so as to obtain a decision analysis result, thereby implementing functions such as control and information prompt.

When the decision analysis result is transmitted to the data communication unit of the internet of things, the decision analysis result can be directly transmitted, or the decision analysis result can be sent to the data communication unit of the internet of things after the decision analysis result is encrypted and decrypted by the security algorithm system.

In one embodiment, as shown in fig. 4, a schematic diagram of data transmission in the electricity metering system based on the above embodiment is shown:

the electric power high-precision ADC can collect data of a low-voltage power distribution network terminal of an electric power system, and the collected data are input into the electric quantity metering system and are processed by the electric quantity metering system. The data collected by the electric power high-precision ADC can comprise structured data and unstructured data, if the data are structured data, the electric quantity metering system can directly perform electric energy quality analysis, power/effective value analysis, fault analysis and the like on the structured data, if the data are unstructured data, the electric quantity metering system can perform data conversion on the unstructured data and convert the unstructured data into the structured data, and then the electric quantity metering system performs analysis on the structured data.

The method mainly comprises two types of unstructured data collected in a power system, particularly in the field of power distribution and utilization: one type is power image data commonly used in the field of power distribution (for example, running state pictures of a power distribution cabinet, a power distribution transformer and a user electric meter box in a power distribution station area), then the electric quantity metering system can process the power image data through a CNN (convolutional neural network) APP (algorithm application), and can timely find potential faults existing in the running of equipment on the power distribution site (for example, whether problems such as smoke generation and burning exist in a molded case circuit breaker and the user electric meter or not through analyzing and identifying a site picture) and abnormal running (for example, whether wiring such as private disconnection, electricity stealing and the like exists or not through analyzing and identifying the site picture); the other type is that log text data (such as operation logs of distribution network DTU (wireless terminal unit), FTU (feeder terminal unit), distribution gateway, electric meter and other devices which are possibly used by the distribution power distribution ring section) can be processed through a knowledge graph APP.

Because a chip NPU (network processor) hardware IP (protocol) module is designed in the electric power data processing device, for the CNN network and the knowledge graph, the two APPs are operated on a non-real-time operating system (such as Linux), full computational resource scheduling and application can be realized, and the IP module of the chip bottom NPU can be directly called to perform accelerated calculation; by this module, unstructured data can be converted into structured data.

For the structured data, the electric quantity metering system can calculate and process the structured data in real time and can also calculate and process the structured data in non-real time, the real-time and non-real-time calculation can be determined according to the importance degree of the data or the requirement on the timeliness of the information, for the processing of the real-time data, the electric quantity metering system also designs various data processing APPs, and if the calculation of an effective value, the power calculation, the electric energy quality and the like belong to the non-real-time APPs and the data processing APPs run on a non-real-time operating system; the APP such as relay protection and fault analysis runs in a real-time operating system (such as RTOS) and the real-time operating system has strong real-time performance, and the advantage of multi-core isomerism of the chip is fully exerted.

In one embodiment, as shown in fig. 5, a power data processing method based on an electric energy metering chip is provided, which is described by taking the method as an example applied to the power data processing apparatus in fig. 1, and includes the following steps:

step S202, first power data are obtained from a first power distribution network terminal, the first power data comprise first structured data and unstructured data, and the unstructured data comprise power image data and log character data.

The electric quantity metering system can acquire first electric power data from a first power distribution network terminal, the first power distribution network terminal can be a power distribution network station area terminal, the power distribution network station area terminal can comprise a power distribution cabinet, a power distribution transformer, a user electric meter box and the like, the first structural data can be power distribution network station area terminal, switching value, current, temperature and the like are involved, unstructured data can comprise electric power image data and log file data in the power distribution network station area terminal, the electric power image data can be pictures of the power distribution cabinet, the power distribution transformer, the user electric meter box and the like shot through a camera, and the log text data can be text information possibly involved in an assigned power utilization link (such as running logs of devices such as a power distribution network DTU, an FTU and an electric meter and the like).

Step S204, converting unstructured data in the first power data to obtain second structured data.

The electric quantity metering system can realize data conversion of unstructured data so as to convert the unstructured data into structured data, and the conversion of the unstructured data into the structured data can refer to a process of extracting information from the unstructured data, for example, if the unstructured data is power image data, the power metering system may perform the power metering by performing image recognition on the power image data, whereby image characteristic data may be extracted from the power image data, therefore, whether the problems of smoke generation, burning and the like exist in a molded case circuit breaker, a user electric meter and the like can be determined, whether the problems of wiring such as private connection, electricity stealing and the like exist in a power distribution network terminal can be determined, if unstructured data are log text data, the electricity metering system can extract key information (such as "voltage", "current", "operation fault type", etc.) in the log text data according to the log text data.

Step S206, performing power analysis based on the first structured data and the second structured data to obtain a power analysis result, and performing decision analysis on the power analysis result according to a first preset safety analysis rule to obtain a first decision analysis result.

The electric quantity metering system can perform electric power analysis on the first structured data and the second structured data to obtain an electric power analysis result, wherein the electric power analysis refers to a process of obtaining electric power information related to the first structured data and the second structured data after the electric power calculation system performs analysis calculation on the first structured data and the second structured data.

After obtaining the power analysis result, the electric quantity metering system sends the power analysis result to the general computing system, and the general computing system can perform decision analysis on the power analysis result to obtain a first decision analysis result, where the decision analysis can be a process of making a corresponding decision according to the power analysis result, so as to obtain the first decision analysis result, thereby implementing functions of control, information prompt, and the like.

Step S208, second power data are obtained from the second power distribution network terminal, decision analysis is carried out on the second power data according to a second preset safety analysis rule, and a second decision analysis result is obtained, wherein the second power data comprise a control signal and a protection signal.

The general computing system can obtain second power data from a second power distribution network terminal, the second power distribution network terminal can be a power distribution network convergence terminal, the power distribution network convergence terminal can be a superior device of a power distribution network station area terminal, the second power data can comprise a control signal and a protection signal, the control signal refers to a control instruction given by the power distribution network convergence terminal, for example, the power distribution network convergence terminal calculates that the power generation amount of a photovoltaic inverter below a switching device is too high, the general computing system needs to send a control instruction for reducing active power to the switching device, or the power distribution network convergence terminal needs to modify the operation topology of the power distribution network station area and needs to trip a device where the general computing system is located; the protection signal may be a relay protection action instruction given by the power distribution network convergence terminal, for example, when the power distribution network convergence terminal determines that a short circuit or power reverse exists at a certain switching device controlled by the general purpose computing system, and the switching device is required to perform an action (such as trip), the protection signal is output to the general purpose computing system.

Step S210, encrypting the first decision analysis result and the second decision analysis result and transmitting the encrypted results to the Internet of things unit, wherein the first decision analysis result and the second decision analysis result are used for indicating the Internet of things unit to send decision information to a corresponding analysis result receiving end.

The security algorithm system can encrypt the first decision analysis result and the second decision analysis result, and then transmits the encrypted results to the internet of things unit, wherein when the security algorithm system encrypts, a series of high-security-level cryptographic algorithms such as SM1, SM2, SM3 and SM4 can be adopted, and individual encryption operation processing is performed on the first decision analysis result and the second decision analysis result.

The internet of things unit can be a communication module, decision information of the general computing system can be output to the corresponding analysis result receiving end through the internet of things unit, specifically, the internet of things unit can be integrated in the electric power data processing device and can be independent of the electric power data processing device, and actual setting of the internet of things unit can be set in combination with an actual application scene.

The decision information may be used for controlling a certain device (such as a switch) in the power distribution network terminal to execute a trip action, or may be used for only outputting prompt information (such as an early warning signal), and the specific decision information may be set according to an actual application scenario.

In one embodiment, the first decision analysis result and the second decision analysis result encrypted by the security algorithm system are transmitted to the internet of things unit, and the internet of things unit outputs decision information to the corresponding analysis result receiving end.

In the electric power data processing method based on the electric energy metering chip, first electric power data are acquired from a first power distribution network terminal, the first electric power data comprise first structured data and unstructured data, and the unstructured data comprise image data and character data; converting unstructured data in the first power data to obtain second structured data; performing power analysis based on the first structured data and the second structured data to obtain a power analysis result, and performing decision analysis on the power analysis result according to a first preset safety analysis rule to obtain a first decision analysis result; the method comprises the steps of obtaining second electric power data from a second power distribution network terminal, carrying out decision analysis on the second electric power data according to a second preset safety analysis rule, and obtaining a second decision analysis result, wherein the second electric power data comprise a control signal and a protection signal, the first decision analysis result and the second decision analysis result are encrypted and then transmitted to an Internet of things unit, and the first decision analysis result and the second decision analysis result are used for indicating the Internet of things unit to output decision information to the corresponding power distribution network terminal. Therefore, through acquiring the electric power data of different data sources of the power distribution network end and developing and analyzing different data, corresponding data analysis results are obtained, on the basis, decision is made on the data analysis results to obtain decision analysis results, the decision analysis results are sent to the Internet of things unit finally, the decision analysis results are output by the Internet of things unit and are encrypted and then transmitted to corresponding terminal equipment, on one hand, the data processing efficiency can be improved through the synergistic effect of data acquisition, data analysis and decision making, on the other hand, the decision analysis results are encrypted and then transmitted, the safe operation of the electric power system is guaranteed to a certain extent, and therefore, the high-efficiency and reliable effect is achieved when the electric power data are processed finally.

In one embodiment, the second structured data includes image power characteristic data and power critical data, and the converting the unstructured data in the first power data into the second structured data includes:

inputting the power image data into a first neural network model to obtain image power characteristic data;

and extracting power key data from the log text data based on a pre-constructed knowledge graph.

The first neural network model may be an LSTM (long-short memory neural network model), wherein the first neural network model may be a pre-trained model, and when the electric power metering system needs to process electric power image data, the trained neural network model may be directly obtained, so as to obtain image feature data. The knowledge graph is a series of different graphs for displaying the relation between the knowledge development process and the structure, and the knowledge graph describes knowledge resources and carriers thereof by using a visualization technology, and mines, analyzes, constructs, draws and displays knowledge and the mutual relation between the knowledge resources and the carriers. The knowledge graph can be used for processing log character data, so that key electric power data are extracted from the electric power log data for processing, calculation of conventional services in an electric power system can be achieved through the neural network model and the knowledge graph, and data processing efficiency can be effectively improved.

In one embodiment, the construction mode of the knowledge graph comprises the following steps: acquiring historical log text data; inputting historical log text data into a second neural network model, and extracting historical power key data in the historical log text data, wherein the historical power key data comprises at least one of key power data or key fault data; and constructing a knowledge graph according to the historical power key data.

The historical log character data refers to information such as past power information logs and fault logs, and can be input into a second neural network model when a knowledge graph is constructed, historical power key data in the historical log character data can be extracted, for example, the historical power key data can be key entries such as voltage, current and operation fault types, and after the historical power key data are extracted, the knowledge graph similar to expert decision experience can be constructed, so that when the log character data exist, key information in the log character data can be analyzed according to the constructed knowledge graph and extracted, and the power key data can be obtained.

In one embodiment, the power analysis includes at least one of power quality analysis or fault analysis, so that when the power metering system performs power analysis on the first structured data and the second structured data, only the power quality analysis and only the fault analysis can be performed, and also both the power quality analysis and the fault analysis can be performed, so that the analysis processing process of the data is developed from multiple directions through multiple power analysis modes, the operation condition of the power system can be considered from multiple directions, and finally the power system has higher safety and reliability.

In one embodiment, the performing a power analysis based on the first structured data and the second structured data to obtain a power analysis result includes: if the power quality analysis is performed on the first structured data and the second structured data, calculating a power quality parameter based on the first structured data and the second structured data, wherein the power quality parameter is included in the power analysis result.

The power quality analysis may refer to that the electric quantity metering system performs effective value calculation, power calculation, electric energy quality calculation and the like on the first structured data and the second structured data, so as to obtain a calculation result, the calculation result is used as a power quality parameter, and when a subsequent general-purpose computing system makes a decision, a corresponding decision may be made based on the calculated power quality parameter.

In one embodiment, if the first structured data and the second structured data include voltage and current, the electric quantity metering system may perform power quality analysis on the voltage and the current, calculate to obtain information such as three-phase imbalance, power factor, etc., extract the three-phase imbalance (e.g., whether the three-phase voltage has different amplitudes, what the maximum imbalance ratio is, and which the voltage is the largest is equal) from the three-phase voltage after performing the power quality analysis on the three-phase voltage, and further extract a high-frequency carrier signal from a 50Hz (hertz) current signal for the current, thereby implementing information extraction for topology identification, and thus the electric quantity metering system may extract implicit information in the first structured data and the second structured data by performing power analysis on the first structured data and the second structured data, and intelligent analysis is realized.

In one embodiment, if the fault analysis is performed on the first structured data and the second structured data, a fault parameter related to the first structured data and the second structured data is determined based on the first structured data and the second structured data, and the power analysis result includes the fault parameter.

The fault analysis refers to a process of determining a fault parameter which can be used for judging whether a fault exists in the power system by analyzing and calculating the first structural data and the second structural data by the electric quantity metering system, and specifically, the fault parameter can be impedance of any branch in the power system. Therefore, the electric quantity metering system can better manage and control the faults in the electric power system through fault analysis by the follow-up general computing system.

In one embodiment, if the electric quantity metering system performs electric quality analysis on the first structured data and the second structured data, the electric quality parameter can be obtained, and if the electric quantity metering system performs fault analysis on the first structured data and the second structured data, the fault parameter can be obtained.

In one embodiment, performing decision analysis on the power analysis result according to a first preset safety analysis rule to obtain a first decision analysis result, including:

if the power analysis result is a power quality parameter, judging whether the power quality parameter meets a preset power quality threshold value or not based on a quality analysis rule in the first preset safety analysis rule so as to obtain a power quality judgment result.

The first preset safety analysis rule comprises a quality analysis rule, wherein the quality analysis rule is a rule set for power quality parameters, when the quality analysis rule is set, a preset power quality threshold value can be determined by combining historical power quality parameters, the general computing system can judge whether the power quality parameters are within a preset power quality threshold value range, and therefore whether the power quality parameters are out of range or within a normal range is determined, and a power quality judgment result is obtained according to a judgment result.

In one embodiment, if the power quality parameter is the amplitude of the three-phase voltage, the general computing system may analyze that the load is significantly lower than the other phases (e.g., phase B) based on the quality analysis rule, and the power quality determination result may be to switch some loads from phase a or phase C to phase B.

In one embodiment, if the power analysis result is a fault parameter, analyzing a data change state in the fault data based on a fault analysis rule in the first preset safety analysis rule, and analyzing and determining a power fault condition according to the data change state.

The first preset safety analysis rule comprises a fault analysis rule, wherein the fault analysis rule is a rule set for fault parameters, when the fault analysis rule is set, the fault analysis rule can be set by combining historical fault parameters, and the general computing system can judge the data change state of the fault parameters (such as the numerical value of the data is obviously increased or obviously reduced) so as to determine the power fault condition.

In one embodiment, the electricity metering system can analyze and calculate the impedance of each branch, the general computing system can analyze whether the impedance of different branches is obviously lowered, and if so, the branch can be judged to have the potential of wire insulation damage, ground fault and the like.

The relay protection control rule is determined according to the type of relay protection, for example, the relay protection generally includes three-stage current protection, three-stage distance protection and the like, and the general purpose computing system can determine which type of relay protection signal is by analyzing the protection signal.

The control signal is a signal sent by a superior device, and the general computing system can analyze the control information, such as a control instruction for reducing active power, control information for modifying the operation topology of the distribution network area, and the like, according to the control signal analysis rule.

In one embodiment, as shown in fig. 6, a flowchart of a decision analysis performed by a general-purpose computing system in a specific embodiment is shown:

the present embodiment relates to a process in which a universal data system processes data from various sources, where the data source 1 may refer to data sent by an electric quantity metering system, and the data source 2 may refer to data sent by a power distribution network convergence terminal.

After receiving the data of each data source, the general purpose computing system may classify each data source, so that a decision may be developed according to the data type.

After determining the type of data, the general purpose computing system may determine whether the data are out of bounds or not for electricity quantity data, such as voltage, current, power and the like, specifically, a threshold may be set for each type of data, if the threshold is exceeded, the electricity quantity data are determined to be out of bounds, if the threshold is lower than the threshold, the electricity quantity data are determined not to be out of bounds, the electricity quantity data may be output to a determination data receiving module after being subjected to security encryption by a security algorithm system, and finally output by an internet of things data communication unit, if the threshold is higher than the threshold, the electricity quantity data are determined to be out of bounds, after further determination (such as severity determination) needs to be made on the electricity quantity data, a decision is made whether to output a protection signal or an alarm signal, after determining the type of the output signal, the signal is output to a determination data receiving party after being subjected to security encryption, after determining the data receiving party, and the data is output by the data communication unit of the Internet of things.

Aiming at the protection signal, the general computing system decides whether the received protection signal belongs to a protection action signal or a warning signal, obtains a decision result, outputs the signal to a judgment data receiver after determining the type of the output signal and finally determines a data receiver, and outputs the signal by the data communication unit of the internet of things.

Aiming at the control signal, the general computing system analyzes and decides whether the control signal needs to send a function instruction (such as a control instruction for reducing active power) or a control instruction for modifying the operation topology of the distribution network area, after an analysis result is obtained, the analysis result is output to the judgment data receiving module after being safely encrypted, and finally, the data is output by the internet of things data communication unit after a data receiving party is determined.

It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.

In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for communicating with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to realize a power data processing method based on an electric energy metering chip. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.

Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above power data processing method when executing the computer program.

In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, which when executed by a processor implements the steps of the above-described power data processing method based on an electric energy metering chip.

In one embodiment, a computer program product is provided, which comprises a computer program that, when executed by a processor, implements the steps of the above-described power data processing method based on an electric energy metering chip.

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 for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), Magnetic Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. 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), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A power data processing method based on an electric energy metering chip is characterized by comprising the following steps:

2. The method of claim 1, wherein the second structured data comprises image power characteristic data and power critical data;

the converting the unstructured data in the first power data into second structured data comprises:

3. The method of claim 2, wherein the knowledge-graph is constructed in a manner that includes:

acquiring historical log text data;

inputting the historical log text data into a second neural network model, and extracting historical power key data in the historical log text data, wherein the historical power key data comprises at least one of key power data or key fault data;

and constructing the knowledge graph according to the historical power key data.

4. The method of claim 1, wherein the power analysis comprises at least one of a power quality analysis or a fault analysis;

the performing power analysis based on the first structured data and the second structured data to obtain a power analysis result includes:

5. The method of claim 1, wherein the first decision analysis result comprises at least one of a power quality determination result or a power failure condition;

if the power analysis result is a fault parameter, analyzing a data change state in the fault data based on a fault analysis rule in the first preset safety analysis rule, and analyzing and determining the power fault condition according to the data change state.

6. The method of claim 1, wherein the second decision analysis result comprises at least one of protection type information or control information;

when the second power data is a protection signal, determining the protection type information of the protection signal according to a relay protection control rule in the second preset safety analysis rule;

and when the second power data is a control signal, analyzing to obtain the control information carried in the control signal according to a control signal analysis rule in the second preset safety analysis rule.

7. An electrical data processing apparatus, the apparatus comprising: the system comprises a data acquisition module, an electric quantity metering system, a general computing system and a safety algorithm system, wherein the data acquisition module is connected with the electric quantity metering system through a protocol interface, and the electric quantity metering system and the safety algorithm system are connected with the general computing system through an on-chip bus;

the electric quantity metering system is used for acquiring the first electric power data sent by the data acquisition module, converting the unstructured data in the first electric power data to obtain second structured data, performing electric power analysis based on the first structured data and the second structured data to obtain an electric power analysis result, and sending the electric power analysis result to the general computing system;

8. The power data processing device according to claim 7, wherein the secure algorithm system comprises a shared memory unit and an encryption algorithm unit; the shared storage unit is connected with the encryption algorithm unit, and the general computing system is connected with the shared storage unit through the on-chip bus;

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.