Method, device and equipment for identifying topological relationship of electrical network and storage medium

Abstract

The application discloses a kind of topological relationship identification method, device and equipment of electrical network, and storage medium, belong to power grid technical field.The method comprises: according to the branch line information of branch line in low-voltage area, the characteristic current code information of target power utilization equipment in branch line is determined;According to the characteristic current code information, determine signal characteristics;Through characteristic current generator, according to the signal characteristics, generate characteristic current;The characteristic current flows to target power supply equipment through branch line loop;Through characteristic current identifier, according to the characteristic current, determine the topological relationship between the target power utilization equipment and the target power supply equipment.Through the above technical scheme, the identification accuracy of topological relationship between each physical device in electrical network can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power grid, in particular to the technical field of electrical topology identification in power grid, and specifically relates to a method, device and equipment for identifying topological relationship of electrical network and a storage medium. BACKGROUND

[0002] As the unit closest to users, low-voltage distribution areas of power grid have a large number of existing low-voltage distribution network drawings that do not match the actual physical equipment, which greatly affects the line loss calculation and energy-saving analysis in low-voltage distribution network. At the same time, due to the large amount of low-voltage distribution network data and frequent changes, it is very difficult to maintain low-voltage distribution network topology data by manual means, which increases the difficulty of operation and maintenance of low-voltage distribution network. Therefore, an effective intelligent method for identifying topological relationship of electrical network is needed to intelligently determine the topological relationship between different physical devices in low-voltage distribution areas. SUMMARY

[0003] The present application provides a method, device and equipment for identifying topological relationship of electrical network and a storage medium to improve the accuracy of identifying topological relationship of electrical network in low-voltage distribution areas.

[0004] According to an aspect of the present application, a method for identifying topological relationship of electrical network is provided, which comprises:

[0005] According to branch line information of branch lines in low-voltage distribution areas, characteristic current coding information of target power consumption equipment in branch lines is determined;

[0006] According to the characteristic current coding information, signal characteristics are determined;

[0007] According to the signal characteristics, characteristic current is generated by a characteristic current generator; the characteristic current flows to target power supply equipment through branch line loops;

[0008] According to the characteristic current, topological relationship between the target power consumption equipment and the target power supply equipment is determined by a characteristic current identifier.

[0009] According to another aspect of the present application, a device for identifying topological relationship of electrical network is provided, which comprises:

[0010] A current coding information determination module is configured to determine characteristic current coding information of target power consumption equipment in branch lines according to branch line information of branch lines in low-voltage distribution areas;

[0011] A signal characteristic determination module is configured to determine signal characteristics according to the characteristic current coding information;

[0012] a feature current generation module configured to generate, by a feature current generator, a feature current according to the signal feature; the feature current flows to the target power supply device through the branch line loop;

[0013] a topology relationship determination module configured to determine, by a feature current identifier, a topology relationship between the target power consumption device and the target power supply device according to the feature current.

[0014] According to another aspect of the present application, an electronic device is provided, the electronic device comprising:

[0015] at least one processor; and

[0016] a memory connected to the at least one processor in communication; wherein,

[0017] the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the topology relationship identification method of the electrical network according to any one of the embodiments of the present application.

[0018] According to another aspect of the present application, a computer readable storage medium is provided, the computer readable storage medium stores computer instructions for enabling a processor to implement the topology relationship identification method of the electrical network according to any one of the embodiments of the present application when executed by the processor.

[0019] The technical solution of the embodiments of the present application determines the feature current coding information of the target power consumption device in the branch line according to the branch line information of the branch line in the low-voltage transformer area, then determines the signal feature according to the feature current coding information, further generates the feature current according to the signal feature by the feature current generator, and finally determines the topology relationship between the target power consumption device and the target power supply device according to the feature current by the feature current identifier. The above technical solution can identify the topology relationship between the power consumption device and the power supply device through the feature current, especially can identify the complex electrical relationship, i.e. the topology connection relationship, between different power consumption devices and power supply devices in a multi-source scenario, thereby providing convenience for the maintenance work of the low-voltage distribution network.

[0020] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required in the embodiments description. Obviously, the drawings described in the following embodiments are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without any creative effort.

[0022] Figure 1 is a flow chart of a topological relationship identification method of an electrical network according to an embodiment of the present application;

[0023] Figure 2 is a flow chart of a topological relationship identification method of an electrical network according to an embodiment of the present application;

[0024] Figure 3 is a structural schematic diagram of a topological relationship identification device of an electrical network according to an embodiment of the present application;

[0025] Figure 4 is a structural schematic diagram of an electronic device for implementing the topological relationship identification method of an electrical network according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to make the technical personnel in the art better understand the present application, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort should be within the scope of protection of the present application.

[0027] It should be noted that the terms "history", "target" and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not necessarily limit to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0028] In addition, it should be noted that in the technical solutions of the present application, the collection, storage, use, processing, transmission, provision and disclosure of the related data such as power consumption and branch line information all comply with the relevant legal regulations and do not violate public order and good customs.

[0029] Embodiment one

[0030] Figure 1 is a flowchart of a method for identifying a topological relationship of an electrical network according to an embodiment one of the present application. The embodiment one can be applicable to how to quickly and accurately determine the topological relationship between different physical devices in the electrical network in a low-voltage transformer area. The method can be executed by a topological relationship identification device of an electrical network, which can be realized in the form of hardware and / or software and can be integrated into an electronic device, such as a server, which carries the function of identifying the topological relationship of the electrical network. As shown in Figure 1 the embodiment one, the method for identifying the topological relationship of the electrical network can include:

[0031] S110, determining characteristic current coding information of a target power consumption device in a branch line according to branch line information of the branch line in the low-voltage transformer area.

[0032] In the embodiment one, the low-voltage transformer area refers to an area powered by a certain transformer. The low-voltage refers to a 380V system; the transformer refers to a distribution transformer, which is a 10KV or 0.4KV system.

[0033] It should be noted that the line directly connected to the transformer is the main line, and the branch line is a small line connected to the main line and branched out; further, the branch line is divided into a first branch, a second branch, a third branch, and so on; the first branch is directly connected to the main line; the second branch is connected to the first branch; the third branch is connected to the second branch; and so on.

[0034] The so-called branch line information refers to the related information of the branch line, including the power consumption devices involved in the branch line, etc.

[0035] The so-called target power consumption device refers to a power consumption device that needs to be analyzed for the topological relationship, such as a power meter of a power consumer, a newly added branch line, etc. The power consumer refers to a party that needs to use electricity.

[0036] The so-called characteristic current coding information is coding information for indicating the generation of the characteristic current; optionally, it can include base frequency information, current length information, and identification information of the power consumption device, etc.

[0037] An optional way can capture branch noise on the branch line, and perform short-time fast Fourier transform (FFT) spectrum analysis on the branch noise to obtain noise spectrum characteristics; select a preset frequency from the noise spectrum characteristics to obtain the base frequency information; determine the current length information according to the duration of the branch noise; and generate the characteristic current coding information of the target power consumption device according to the base frequency information, the current length information, and the identification information of the target power consumption device.

[0038] wherein the branch noise refers to the noise on the branch line. The noise spectrum feature refers to the spectrum feature of the branch noise. The fundamental frequency information refers to the fundamental frequency signal used to generate the characteristic current. The branch noise duration refers to the duration of the noise on the branch line. The current length information refers to the length information used to generate the characteristic current.

[0039] Specifically, the branch noise on the branch line can be captured, and the noise can be subjected to short time Fourier transform (FFT) spectrum analysis to obtain the noise spectrum feature. Then, a non-integer multiple frequency of a set value is selected as a preset frequency from the noise spectrum feature, and the preset frequency is used as the fundamental frequency information; wherein the set value can be 50 Hz. Furthermore, the current length information is determined according to the branch noise duration. Finally, the fundamental frequency information, the current length information, and the identification information of the target power-using equipment are used as the characteristic current coding information of the target power-using equipment.

[0040] It can be understood that by capturing the noise and determining the characteristic current coding information, the interference generated by the power electronic devices such as IGBT and MOSFET on the power line can be resisted, thereby improving the confirmation speed and accuracy of the characteristic current on the power supply equipment side, and laying a foundation for determining the connection relationship between the power-using equipment and the power supply equipment.

[0041] S120, determining a signal feature according to the characteristic current coding information.

[0042] In this embodiment, the signal feature refers to the signal feature used to generate the characteristic current; optionally, the signal feature can include but is not limited to the frequency of the narrow pulse, the duration of the pulse group, the interval time of the pulse group, etc.

[0043] An optional way can generate a pulse current group according to the characteristic current coding information; and determine the signal feature according to the pulse current group.

[0044] wherein the pulse current group refers to a short-lived fluctuating current like a pulse, and the main characteristics include waveform, amplitude, width, and repetition frequency.

[0045] Specifically, the carrier-controlled switching controller can be used to drive the fast switching of the MOSFET, and the constant current characteristic of the MOSFET after being turned on can be used to generate a narrow pulse current group with a current of 0.5 A near the voltage zero point of the phase line and the neutral line. Then, the frequency, duration, and interval time of the narrow pulse of the narrow pulse current group are determined to determine the signal feature.

[0046] It can be understood that based on the carrier network, the characteristic signal can be determined and updated, which can reduce the influence of harmonics and facilitate the power supply equipment to identify the characteristic current from its local noise.

[0047] S130, generating a feature current according to the signal feature through a feature current generator.

[0048] Wherein, the feature current flows to the target power supply device through the branch line loop; it is to be noted that the feature current forms a loop through the phase line, the zero line and the power supply; wherein, the power supply is on the target power supply device, and the feature current is sent from the power consuming device side. The feature current generator is installed on the target power consuming device.

[0049] Specifically, the feature current can be generated according to the signal feature through the feature current generator.

[0050] S140, determining the topological relationship between the target power consuming device and the target power supply device according to the feature current through a feature current identifier.

[0051] In this embodiment, the feature current identifier is hung on the branch line through a back clamp; the feature current identifier is internally provided with a high-precision metering unit, a dual-core high-speed processor, a carrier wave module, a Bluetooth module, a 470M micro-power wireless and a super capacitor; the feature current identifier can identify the feature current.

[0052] The topological relationship refers to the connection relationship between the target power consuming device and the target power supply device, for example, the user meter-transformer, the user meter-distribution transformer and other dimensions of load-source relationship.

[0053] An optional way can be used to collect the branch line signal in real time through the feature current identifier, and to perform short-time FFT analysis on the branch line signal to obtain the line current feature; the line current parameter is extracted from the line current feature; the line current parameter and the line noise parameter are compared to determine whether the feature current exists in the branch line loop; if it exists, the topological relationship between the target power consuming device and the target power supply device is determined according to the flow direction information of the feature current.

[0054] Wherein, the branch line signal refers to the current signal in the branch line. The line current feature refers to the current feature in the branch line. The line current parameter refers to the related parameter of the current in the branch line, such as the current amplitude. The line noise parameter refers to the related parameter of the noise in the branch line, such as the noise current amplitude.

[0055] Specifically, the branch line signal can be collected in real time by the characteristic current identifier, and the branch line signal can be subjected to short-time FFT analysis to obtain the line current characteristics, and the line current parameters can be extracted from the line current characteristics; the line current parameters and the line noise parameters are compared to determine whether the characteristic current exists in the branch line loop, and if so, the connection between the target power consumption device and the target power supply device is determined according to the flow direction information of the characteristic current. It should be noted that the characteristic current generator and the characteristic current identifier work synchronously; the physical devices in multiple branch lines can be subjected to synchronous topology relationship identification

[0056] It can be understood that the clock synchronization function of the wideband carrier can realize the topology identification process of multiple branches in a single command sequence, greatly reduce the time consumption of command and data transmission, and improve the topology identification speed.

[0057] The technical scheme provided by the embodiment of the application determines the characteristic current coding information of the target power consumption device in the branch line according to the branch line information of the branch line in the low-voltage transformer area, then determines the signal characteristics according to the characteristic current coding information, and further generates the characteristic current by the characteristic current generator according to the signal characteristics, and finally determines the topology relationship between the target power consumption device and the target power supply device by the characteristic current identifier according to the characteristic current. The above technical scheme can identify the topology relationship between the power consumption device and the power supply device through the characteristic current, and especially can identify the complex electrical relationship, i.e. the topology connection relationship, between different power consumption devices and power supply devices in a multi-source scene, thereby providing convenience for low-voltage distribution network maintenance work.

[0058] Embodiment two

[0059] Figure 2 is a flowchart of a topology relationship identification method of an electrical network provided by the embodiment two of the application. The embodiment is further optimized on the basis of the above-mentioned embodiment, and provides an optional implementation scheme. As shown in Figure 2 , the topology relationship identification method of the electrical network provided by the embodiment can include:

[0060] S210, determining the characteristic current coding information of the target power consumption device in the branch line according to the branch line information of the branch line in the low-voltage transformer area.

[0061] S220, determining the signal characteristics according to the characteristic current coding information.

[0062] S230, generating the characteristic current by the characteristic current generator according to the signal characteristics.

[0063] The characteristic current flows to the target power supply device through the branch line loop;

[0064] S240, determining, by the feature current identifier, the topological relationship between the target power-using device and the target power-supplying device according to the feature current.

[0065] S250, determining the branch line loss of the branch line according to the total power provided by the target power-supplying device and the power consumption of the target power-using device, so as to optimize the branch line.

[0066] In this example, the branch line loss refers to the loss of power on the branch line.

[0067] Specifically, the total power provided by the target power-supplying device can be subtracted from the sum of the power consumptions of the target power-using devices associated with the target power-supplying device to obtain the branch line loss of the branch line. Further, the branch line can be improved and optimized based on the branch line loss, so as to supervise the operation of the electric energy metering device and the energy consumption of the transformer area.

[0068] The technical scheme provided by the embodiment of the application determines the feature current coding information of the target power-using device in the branch line according to the branch line information of the branch line in the low-voltage transformer area, determines the signal feature according to the feature current coding information, generates the feature current according to the signal feature by the feature current generator, determines the topological relationship between the target power-using device and the target power-supplying device according to the feature current by the feature current identifier, and then determines the branch line loss of the branch line according to the total power provided by the target power-supplying device and the power consumption of the target power-using device, so as to optimize the branch line. The above technical scheme can accurately and quickly determine the line loss based on the topological connection relationship between the target power-using device and the target power-supplying device, that is, different physical devices, so as to provide a basis for effectively reducing the line loss.

[0069] On the basis of the above-mentioned embodiment, as an optional mode of the present disclosure, the abnormal power consumption behavior can also be identified according to the branch line loss and the historical line loss of the branch line.

[0070] The historical line loss refers to the line loss on the branch line in the historical situation.

[0071] Specifically, the branch line loss and the historical line loss of the branch line can be analyzed and compared to estimate the abnormal power consumption behavior, such as electricity stealing in the low-voltage distribution network. Further, the newly added user and the like can also be estimated.

[0072] It can be understood that the abnormal power consumption behavior can be intelligently identified by analyzing the line loss, so as to realize intelligent monitoring of the low-voltage transformer area.

[0073] Embodiment three

[0074] Figure 3is a structural schematic diagram of a topological relationship identification device of an electrical network provided according to Embodiment Three of the present application. The present embodiment can be applicable to how to quickly and accurately determine the topological relationship between different physical devices in the electrical network in a low-voltage transformer area. The method can be executed by a topological relationship identification device of an electrical network, which can be realized in the form of hardware and / or software and can be integrated into an electronic device, such as a server, which carries the topological relationship identification function of the electrical network. As shown in Figure 3 The topological relationship identification device of the electrical network in the present embodiment can include:

[0075] A current coding information determination module 310 is configured to determine characteristic current coding information of a target power-using device in a branch line according to branch line information of the branch line in the low-voltage transformer area.

[0076] A signal feature determination module 320 is configured to determine signal features according to the characteristic current coding information.

[0077] A characteristic current generation module 330 is configured to generate characteristic currents by a characteristic current generator according to the signal features. The characteristic currents flow to a target power-supplying device through a branch line loop.

[0078] A topological relationship determination module 340 is configured to determine a topological relationship between the target power-using device and the target power-supplying device according to the characteristic currents by a characteristic current identifier.

[0079] The technical solution provided by the present embodiment determines characteristic current coding information of a target power-using device in a branch line according to branch line information of the branch line in a low-voltage transformer area, then determines signal features according to the characteristic current coding information, and further generates characteristic currents by a characteristic current generator according to the signal features. Finally, a topological relationship between the target power-using device and the target power-supplying device is determined according to the characteristic currents by a characteristic current identifier. The above technical solution can identify the topological relationship between the power-using device and the power-supplying device through the characteristic currents, and especially can identify the complex electrical relationship, i.e., the topological connection relationship, between different power-using devices and power-supplying devices in a multi-source scenario, thereby providing convenience for low-voltage distribution network maintenance work.

[0080] Optionally, the current coding information determination module 310 is specifically configured to:

[0081] capture branch noise on the branch line and perform short-time fast Fourier transform (FFT) spectrum analysis on the branch noise to obtain noise spectrum features;

[0082] select a preset frequency from the noise spectrum features to obtain base frequency information;

[0083] determine current length information according to a branch noise duration.

[0084] According to the fundamental frequency information, the current length information and the identification information of the target power consumption device, the characteristic current coding information of the target power consumption device is generated.

[0085] Optionally, the signal feature determination module 320 is specifically configured to:

[0086] According to the characteristic current coding information, the pulse current group is generated;

[0087] According to the pulse current group, the signal feature is determined.

[0088] Optionally, the topology relationship determination module 340 is specifically configured to:

[0089] The branch line signal is collected in real time through the characteristic current identifier, and the branch line signal is subjected to short-time FFT analysis to obtain the line current feature;

[0090] The line current parameter is extracted from the line current feature;

[0091] The line current parameter and the line noise parameter are compared to determine whether the characteristic current exists in the branch line loop;

[0092] If the characteristic current exists, the topology relationship between the target power consumption device and the target power supply device is determined according to the flow direction information of the characteristic current.

[0093] Optionally, the characteristic current identifier is hung on the branch line through back clamping; the characteristic current identifier is internally provided with a high-precision metering unit, a dual-core high-speed processor, a carrier wave module, a Bluetooth module, a 470M micro-power wireless and a super capacitor.

[0094] Optionally, the characteristic current generator is installed on the target power consumption device.

[0095] Optionally, the device further comprises:

[0096] The branch line loss determination module is configured to determine the branch line loss of the branch line according to the total power provided by the target power supply device and the power consumption of the target power consumption device, so as to optimize the branch line.

[0097] Optionally, the device further comprises:

[0098] The abnormal behavior recognition module is configured to recognize the abnormal power consumption behavior according to the branch line loss and the historical line loss of the branch line.

[0099] The topology relationship identification device of the electrical network provided in the embodiments of the present application can execute the topology relationship identification method of the electrical network provided in any embodiment of the present application, and has the corresponding function modules and beneficial effects of the execution method.

[0100] Embodiment four

[0101] Figure 4 is a structural schematic diagram of an electronic device implementing a topology relationship identification method of an electrical network according to an embodiment of the present application, Figure 4 A structural schematic diagram of an electronic device 10 that can be used to implement embodiments of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smart phones, wearable devices (e.g., headsets, glasses, watches, etc.), and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application described and / or claimed in this document.

[0102] As shown in Figure 4 The electronic device 10 includes at least one processor 11, and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., connected in communication with the at least one processor 11, where the memory stores a computer program executable by the at least one processor 11, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or loaded into the random access memory (RAM) 13 from the storage unit 18. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0103] A plurality of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunications networks.

[0104] The processor 11 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, and the like. The processor 11 performs various methods and processes described above, such as the topology relationship identification method of the electrical network.

[0105] In some embodiments, the topology relationship identification method of the electrical network can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded onto the RAM 13 and executed by the processor 11, one or more steps of the topology relationship identification method of the electrical network described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform the topology relationship identification method of the electrical network by any other suitable means, such as by means of firmware.

[0106] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a programmable logic device (PLD), a computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0107] Computer programs used to implement the methods of the application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the computer program, when executed, implements the functions / acts specified in the flowcharts and / or block diagrams. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine as a stand-alone software package, partially on a machine and partially on a remote machine or entirely on a remote machine or server.

[0108] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer-readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of a machine-readable storage medium will include one or more lines of a program of instructions in a transitory signal, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0109] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0110] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0111] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0112] It should be understood that the various forms of flow shown above can be used to reorder, add or delete steps. For example, each step described in the present application can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solutions of the present application can be achieved, which is not limited herein.

[0113] The above detailed description does not constitute a limitation on the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method of identifying topological relationships of an electrical network, characterized in that, The application relates to a method for determining a topology relationship between a target power-consuming device and a target power-supplying device in a branch line of a low-voltage transformer area. The method comprises the following steps: acquiring branch noise on the branch line and performing short-time fast Fourier transform (FFT) spectrum analysis on the branch noise to obtain noise spectrum characteristics; selecting a preset frequency from the noise spectrum characteristics to obtain base frequency information; determining current length information according to a duration of the branch noise; generating characteristic current coding information of the target power-consuming device according to the base frequency information, the current length information and identification information of the target power-consuming device; determining signal characteristics according to the characteristic current coding information; generating characteristic current through a characteristic current generator according to the signal characteristics; and determining the topology relationship between the target power-consuming device and the target power-supplying device through a characteristic current identifier according to the characteristic current. The method for determining signal characteristics according to the characteristic current coding information comprises the following steps: generating pulse current groups according to the characteristic current coding information; and determining signal characteristics according to the pulse current groups. The method for determining the topology relationship between the target power-consuming device and the target power-supplying device through the characteristic current identifier according to the characteristic current comprises the following steps: collecting branch line signals in real time through the characteristic current identifier and performing short-time FFT analysis on the branch line signals to obtain line current characteristics; extracting line current parameters from the line current characteristics; comparing the line current parameters with line noise parameters to determine whether the characteristic current exists in the branch line circuit; and determining the topology relationship between the target power-consuming device and the target power-supplying device according to flow direction information of the characteristic current if the characteristic current exists. The characteristic current identifier is hung on the branch line through back clamping; the characteristic current identifier is internally provided with a high-precision metering unit, a dual-core high-speed processor, a carrier wave module, a Bluetooth module, 470M micro-power wireless and super capacitors. The characteristic current generator is installed on the target power-consuming device. The method further comprises the following steps: determining branch line loss of the branch line according to total power provided by the target power-supplying device and power consumption of the target power-consuming device to optimize the branch line. The method further comprises the following steps: identifying abnormal power consumption behavior according to the branch line loss and historical line loss of the branch line.

2. The method of claim 1, wherein, The application relates to a method for determining a topology relationship between a target power-consuming device and a target power-supplying device in a branch line of a low-voltage transformer area. The method comprises the following steps: acquiring branch noise on the branch line and performing short-time fast Fourier transform (FFT) spectrum analysis on the branch noise to obtain noise spectrum characteristics; selecting a preset frequency from the noise spectrum characteristics to obtain base frequency information; determining current length information according to a duration of the branch noise; generating characteristic current coding information of the target power-consuming device according to the base frequency information, the current length information and identification information of the target power-consuming device; determining signal characteristics according to the characteristic current coding information; generating characteristic current through a characteristic current generator according to the signal characteristics; and determining the topology relationship between the target power-consuming device and the target power-supplying device through a characteristic current identifier according to the characteristic current. ​ 3. The method of claim 1, wherein, ​ ​ ​ ​ ​ 4. The method of claim 1, wherein, ​ 5. The method of claim 1, wherein, ​ 6. The method of claim 1, wherein, ​ ​ 7. The method of claim 6, wherein, ​ ​ 8. A device for identifying topological relations of an electrical network, characterized in that ​ ​ ​ ​ ​ The signal feature determination module is configured to determine a signal feature according to the characteristic current coding information. The characteristic current generation module is configured to generate a characteristic current according to the signal feature by a characteristic current generator, and the characteristic current flows to a target power supply device through a branch line loop. The topology relationship determination module is configured to determine a topology relationship between the target power consumption device and the target power supply device according to the characteristic current by a characteristic current identifier.

9. An electronic device, comprising: The electronic device comprises: at least one processor; and a memory connected with the at least one processor in communication; wherein, the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the topology relationship identification method of the electrical network according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions, and the computer instructions are used to enable the processor to implement the topology relationship identification method of the electrical network according to any one of claims 1-7 when executed.

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