Characteristic current identification method and device, acquisition terminal and storage medium

Abstract

Embodiments of the present application provide a feature current identification method and device, a collection terminal and a storage medium, and relate to the technical field of feature current identification. A signal to be analyzed is obtained; waveform data of the signal to be analyzed includes at least two continuous complete cycles; whether the signal to be analyzed is a feature current signal sent by a sending device is determined according to signal coding, signal strength and background noise of the signal to be analyzed. In this way, misidentification and missed identification of the feature current can be avoided, and the identification accuracy and stability of the feature current can be effectively improved.

Description

Technical Field

[0001] This application relates to the field of characteristic current identification technology, and more specifically, to a characteristic current identification method, device, acquisition terminal, and storage medium. Background Technology

[0002] To establish electrical topology relationships, power acquisition terminals need to have topology identification capabilities. Currently, acquisition terminals often rely on the accurate identification of characteristic current signals during the topology identification process.

[0003] However, since power lines are affected by the operation of users' electrical equipment during the power supply process, there are inevitably large noise signals in the lines. These noise signals are random and transient, which makes it easy for the acquisition terminal to misidentify or miss the characteristic current, resulting in low identification accuracy of the characteristic current. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a characteristic current identification method, device, acquisition terminal and storage medium to improve the identification accuracy of characteristic current and prevent false identification and missed identification.

[0005] To achieve the above objectives, the technical solutions adopted in the embodiments of this application are as follows: In a first aspect, this application provides a characteristic current identification method applied to a data acquisition terminal, wherein the data acquisition terminal is electrically connected to a transmitting device, and the method includes: Acquire the signal to be analyzed; the waveform data of the signal to be analyzed includes at least two consecutive complete cycles; Based on the signal encoding, signal strength, and background noise of the signal to be analyzed, determine whether the signal to be analyzed is a characteristic current signal sent by the transmitting device.

[0006] In an optional implementation, acquiring the signal to be analyzed includes: The topology signal is acquired every preset time interval, and it is determined whether the waveform data of the acquired but unanalyzed topology signal includes at least two consecutive cycles; the preset time interval is the duration corresponding to a complete cycle. If the waveform data of the acquired unanalyzed topology signal includes at least two consecutive cycles, then the acquired unanalyzed topology signal is determined as the signal to be analyzed.

[0007] In an optional implementation, after acquiring the signal to be analyzed, the method further includes: The signal strength of the signal to be analyzed is processed according to a preset transformation ratio to ensure that the signal strength of the signal to be analyzed is within a preset range.

[0008] In an optional implementation, determining whether the signal to be analyzed is a characteristic current signal based on the signal encoding, signal strength, and background noise of the signal to be analyzed includes: Determine whether the signal code of the signal to be analyzed matches a preset feature code; If the signal code of the signal to be analyzed matches the preset feature code, then the background noise and the signal strength of the target frequency of the signal to be analyzed are determined; the feature code is the signal code of the characteristic current. Determine whether the signal to be analyzed is the target signal based on the background noise and the signal strength of the target frequency. If the signal to be analyzed is the target signal, then the signal-to-noise ratio of the signal to be analyzed is calculated based on the background noise and the signal strength of the target frequency, and the signal-to-noise ratio is used to determine whether the signal to be analyzed is a characteristic current signal.

[0009] In an optional implementation, there are multiple target frequency points, and the step of determining whether the signal to be analyzed is a target signal based on the background noise and the signal strength of the target frequency points includes: If the background noise of the signal to be analyzed does not exceed a preset noise threshold, and the signal strength of multiple target frequency points is within a preset strength range, the signal to be analyzed is determined to be a target signal.

[0010] In an optional implementation, the step of calculating the signal-to-noise ratio (SNR) of the signal to be analyzed based on the background noise and the signal strength at the target frequency, and determining whether the signal to be analyzed is a characteristic current signal based on the SNR, includes: The sum of the signal strengths of multiple target frequency points is calculated, and the ratio of the sum to the background noise is determined as the signal-to-noise ratio of the signal to be analyzed. If the signal-to-noise ratio exceeds a preset signal-to-noise ratio threshold, then the signal to be analyzed is determined to be the characteristic current signal.

[0011] In an optional implementation, the acquisition terminal is also communicatively connected to the master station. The characteristic current signal is sent to the acquisition terminal by the transmitting device upon receiving a characteristic current acquisition instruction from the acquisition terminal. The characteristic current acquisition instruction is sent to the transmitting device by the acquisition terminal upon receiving a topology instruction from the master station, based on the transmitting device address in the topology identification instruction.

[0012] Secondly, this application provides a characteristic current identification device applied to a data acquisition terminal, wherein the data acquisition terminal is electrically connected to a transmitting device, and the device includes: An acquisition module is used to acquire the signal to be analyzed; the waveform data of the signal to be analyzed includes at least two consecutive complete cycles; The analysis module is used to determine whether the signal to be analyzed is a characteristic current signal sent by the transmitting device based on the signal encoding, signal strength and background noise of the signal to be analyzed.

[0013] Thirdly, this application provides a data acquisition terminal, including a processor and a memory, wherein the memory stores a computer program that can be executed by the processor, and the processor can execute the computer program to implement the method described in any of the foregoing embodiments.

[0014] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any of the foregoing embodiments.

[0015] The characteristic current identification method, device, acquisition terminal, and storage medium provided in this application embodiment can obtain waveform data including at least two consecutive complete cycles of the signal to be analyzed, so as to avoid misidentification and omission due to incomplete waveform. Then, the signal encoding, signal strength, and background noise of the signal to be analyzed can be comprehensively considered to determine whether the signal to be analyzed is a characteristic current signal. Therefore, the identification accuracy and identification stability of characteristic current can be effectively improved.

[0016] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A schematic diagram of the topology system is shown; Figure 2 A block diagram of a data acquisition terminal provided in an embodiment of this application is shown; Figure 3 This paper illustrates a flowchart of a characteristic current identification method provided in an embodiment of this application. Figure 4 An example diagram of the signal waveform corresponding to the feature code is shown; Figure 5 A functional block diagram of a characteristic current identification device provided in an embodiment of this application is shown.

[0019] Icons: 10-Acquisition terminal; 20-Transmitting device; 30-Master station; 100-Memory; 110-Processor; 120-Communication module; 200-Acquisition module; 210-Analysis module. Detailed Implementation

[0020] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can be arranged and designed in various different configurations.

[0021] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0022] It should be noted that relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0023] Figure 1 For a schematic diagram of the topology system, please refer to [link / reference]. Figure 1 The topology system includes a data acquisition terminal 10, a transmitting device 20, and a main station 30. The data acquisition terminal 10 is electrically connected to the transmitting device 20 and communicatively connected to the main station 30.

[0024] In this embodiment, the transmitting device 20 may include an electricity meter, a branch monitoring device, etc. In addition, a data acquisition terminal may also be used as a transmitting device.

[0025] exist Figure 1 On this basis, Figure 2 Please refer to the block diagram of the data acquisition terminal 10 provided in the embodiments of this application. Figure 2The data acquisition terminal 10 includes a memory 100, a processor 110, and a communication module 120. The memory 100, processor 110, and communication module 120 are electrically connected directly or indirectly to achieve data transmission or interaction. For example, these components can be electrically connected to each other through one or more communication buses or signal lines.

[0026] The memory 100 is used to store computer programs or data that can be executed by the processor. The memory 100 may be, but is not limited to, random access memory (RAM), read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), etc.

[0027] The processor 110 is used to read / write data or programs stored in the memory and execute the computer program to implement the characteristic current identification method provided in the embodiments of this application.

[0028] The communication module 120 is used to establish a communication connection between the data acquisition terminal and other communication terminals via the network, and to send and receive data via the network.

[0029] It should be understood that, Figure 2 The structure shown is only a schematic diagram of the data acquisition terminal; the data acquisition terminal may also include components such as... Figure 2 The more or fewer components shown, or having the same Figure 2 The different configurations shown. Figure 2 The components shown can be implemented using hardware, software, or a combination thereof.

[0030] The following is based on the above. Figure 1 The acquisition terminal in this application is the main execution entity. The characteristic current identification method provided in the embodiments of this application is illustrated by way of example in conjunction with the flowchart.

[0031] Specifically, Figure 3 Please refer to the flowchart of a characteristic current identification method provided in this application embodiment. Figure 3 The method includes: Step S20: Obtain the signal to be analyzed.

[0032] The waveform data of the signal to be analyzed includes at least two consecutive complete cycles.

[0033] In this embodiment, the acquisition terminal can acquire waveform data for topology identification through power lines, and ensure that the acquired signal waveform data includes at least two consecutive complete cycles.

[0034] It should be noted that the "complete cycle" here specifically refers to the waveform structure of the power signal that completes one periodic change within the positive and negative half cycles. Its continuity is a key prerequisite for ensuring the accuracy of signal analysis.

[0035] In practical applications, the acquisition terminal continuously acquires waveform data to avoid interruptions during the acquisition process, thereby ensuring the integrity and authenticity of the data and preventing waveform distortion caused by acquisition interruptions. It should be noted that continuous acquisition of waveform data involves not only the physical continuity of the acquisition process but also the continuous coverage of the data in the time dimension. That is, the acquisition terminal must ensure that the acquired signal covers at least two complete cycles and must not cause cycle loss or breakage due to sampling interval or triggering mechanism issues.

[0036] Step S21: Based on the signal encoding, signal strength, and background noise of the signal to be analyzed, determine whether the signal to be analyzed is a characteristic current signal sent by the transmitting device.

[0037] Optionally, the characteristic current signal refers to a specific current signal generated by the transmitting device according to predetermined rules and sent to the power line for topology identification.

[0038] In this embodiment, the acquisition terminal can comprehensively determine whether the signal to be analyzed conforms to the definition of a characteristic current signal by using parameters such as signal encoding, signal strength, and background noise.

[0039] It is understood that the characteristic current identification method provided in this application can construct a multi-level signal identification mechanism through the joint analysis of three parameters: signal encoding, signal strength, and background noise, thereby effectively improving the accuracy of characteristic current signal identification.

[0040] In real-world power environments, due to the frequent use of user equipment and the complexity of power lines, a large amount of noise signals may exist in the lines. Some of these noise signals may occasionally match the waveform characteristics of a feature code, leading to false identification. The acquisition terminal, however, can effectively identify the true characteristic current signal in complex power environments through multiple judgment conditions, such as signal encoding, signal strength, and background noise, thus preventing false identification and false alarms.

[0041] The characteristic current identification method provided in this application embodiment allows the acquisition terminal to obtain waveform data including at least two consecutive complete cycles of the signal to be analyzed, so as to avoid misidentification and omission due to incomplete waveforms. Then, by comprehensively considering parameters of multiple dimensions such as signal encoding, signal strength and background noise of the signal to be analyzed, it can be determined whether the signal to be analyzed is a characteristic current signal. Therefore, it can effectively improve the identification accuracy and identification stability of characteristic current.

[0042] Understandably, the purpose of the acquisition terminal identifying characteristic currents is to determine whether there is an electrical topology relationship between the acquisition terminal and the corresponding transmitting device.

[0043] In this embodiment, the characteristic current signal is sent from the transmitting device to the acquisition terminal upon receiving the characteristic current acquisition instruction from the acquisition terminal. The characteristic current acquisition instruction is sent from the acquisition terminal to the transmitting device based on the transmitting device address in the topology identification instruction upon receiving the topology instruction from the master station.

[0044] Optionally, the master station can send a topology instruction to the acquisition terminal, which carries the address of the corresponding transmitting device. The acquisition terminal can then send a characteristic current acquisition instruction to the transmitting device based on the transmitting device address. Upon receiving the characteristic current acquisition instruction, the transmitting device can send the characteristic current to the acquisition terminal.

[0045] After sending a characteristic current acquisition command, the acquisition terminal can start performing a characteristic current identification operation to analyze whether the acquired signal is a characteristic current. If a characteristic current is identified, it can be determined that there is an electrical topology relationship between the transmitting device and the acquisition terminal. Therefore, a topology identification event can be generated and sent to the master station, which can determine the electrical topology relationship between the acquisition terminal and the corresponding transmitting device based on the topology identification event.

[0046] If the acquisition terminal does not identify the characteristic current within a preset time period, it can be determined that there is no electrical topology relationship between the transmitting device and the acquisition terminal, and the master station will be notified of the result.

[0047] It should be noted that in the topology system, the master station stores the initial topology structure relationship of the topology system. However, during the operation of the power acquisition system, there is often a need to change or update the device topology relationship, such as adding new devices, relocating devices, or modifying lines. These situations may cause the topology relationship database maintained by the master station to be inconsistent with the actual electrical connection status.

[0048] During normal operation, the master station often relies on data reported by the acquisition terminals to construct and maintain topology relationships. However, when the power system structure changes, such as adjustments, additions, or replacements of transmitting equipment within a distribution area, the acquisition terminals may fail to collect the characteristic current signals of the relevant equipment in a timely manner. This can lead to the master station being unable to accurately identify the connection relationship between the transmitting equipment and the acquisition terminals using existing data. In practical applications, if there is a lack of active control mechanisms from the master station over the acquisition terminals, and the acquisition terminals rely solely on passive signal detection for topology identification, they may miss signals from some transmitting equipment or misjudge topology relationships under noise interference, thereby affecting the accuracy and real-time performance of the entire system's topology identification.

[0049] Furthermore, due to factors such as noise interference, signal attenuation, and communication delays between devices in power lines, the acquisition terminal cannot reliably identify the characteristic current signals of all transmitting devices at any given time. Therefore, the master station needs to have the ability to actively schedule the acquisition terminal to perform topology identification tasks to ensure that the target transmitting device is identified within a specific time window, thereby improving the success rate and accuracy of topology identification and updating the initial topology structure.

[0050] For example, when the master station detects that a certain transmitting device has not been identified by the acquisition terminal or has reported abnormal data for a period of time, it can issue a topology identification command to prompt the acquisition terminal to actively send a characteristic current acquisition command to the transmitting device, thereby triggering the transmitting device to send a characteristic current signal and ensuring that the acquisition terminal completes signal acquisition and identification within a controllable time, avoiding long-term errors in the topology database due to signal loss or misjudgment.

[0051] Optionally, the topology system may include multiple acquisition terminals, each of which may be connected to multiple transmitting devices. Therefore, to prevent interference between characteristic signals that would make identification difficult, the master station can control the transmission interval of the topology identification command to be above a preset interval duration. Optionally, the preset interval duration can be set according to the actual application, such as 10 seconds, 1 minute, etc.

[0052] In practical applications, the accurate identification of characteristic currents depends on the accurate acquisition and analysis of complete cycles. However, in power lines, due to the constantly changing operating status of electrical equipment and the frequent occurrence of noise signals, incomplete or interrupted waveform data will lead to signal characteristic distortion, resulting in misidentification or missed identification.

[0053] Clearly, ensuring that the acquired waveform data is continuous and complete, and ensuring that waveform analysis can be performed on each cycle, are key technical issues for achieving accurate identification of characteristic current signals.

[0054] To address this issue, the characteristic current identification method provided in this application embodiment allows the acquisition terminal to acquire a topology signal every preset time interval and determine whether the waveform data of the acquired but unanalyzed topology signal includes at least two consecutive cycles. If the waveform data of the acquired but unanalyzed topology signal includes at least two consecutive cycles, then the acquired but unanalyzed topology signal is identified as the signal to be analyzed.

[0055] The preset duration is the duration corresponding to one complete cycle.

[0056] During the above steps, the acquisition terminal acquires the topology signal once every complete cycle. The "duration of a complete cycle" specifically refers to the time required for the AC signal to complete one complete cycle under the current power grid frequency conditions.

[0057] After acquiring each topology signal, the acquisition terminal continuously determines whether the acquired but unanalyzed waveform data contains at least two consecutive complete cycles. If the determination result is yes, this portion of waveform data is identified as the signal to be analyzed.

[0058] Understandably, this method ensures the continuity of data used in subsequent analysis processes, avoiding waveform distortion caused by data interruption or missing data.

[0059] Optionally, if the standard frequency of the power grid is 50Hz, then the time corresponding to one complete cycle is 20ms. Based on this, the preset duration can be set to 20ms.

[0060] In actual operation, the power grid frequency is allowed to fluctuate within a certain range, usually controlled within ±0.5Hz. Within this fluctuation range, the signal to be analyzed can be effectively analyzed.

[0061] In this embodiment, the acquisition terminal can acquire the topology signal every 20ms and determine whether the characteristic current can be identified at this time, thereby ensuring that each cycle can be identified and processed in a timely manner, and that the subsequent signal acquisition and analysis process will not be affected by the processing delay.

[0062] Therefore, this mechanism can not only solve the problem of discontinuous data acquisition caused by noise interference and frequency fluctuations in power lines, but also provide a stable and reliable data input basis for subsequent comprehensive judgment based on signal encoding, signal strength and background noise.

[0063] Optionally, in order to ensure that the signal strength of the signal to be analyzed meets the processing requirements of the acquisition terminal, the acquisition terminal may also process the signal strength of the signal to be analyzed according to a preset transformation ratio after acquiring the signal to be analyzed, so that the signal strength of the signal to be analyzed is within a preset range.

[0064] Optionally, the preset transformation ratio refers to the actual transformation ratio parameter of the external CT (Current Transformer) device connected to the acquisition terminal. This parameter can be configured into the acquisition terminal's recognition algorithm through the acquisition terminal's display interface or communication messages. In practical applications, the acquisition terminal will convert the originally acquired signal strength value based on this transformation ratio parameter so that the acquisition terminal can effectively identify the characteristic current based on the signal to be analyzed.

[0065] The following provides a possible approach to determining whether a signal to be analyzed is a characteristic current signal based on its signal encoding, signal strength, and background noise.

[0066] Specifically, the terminal device can determine whether the signal code of the signal to be analyzed matches the preset feature code. If the signal code of the signal to be analyzed matches the preset feature code, it can determine the background noise and the signal strength of the target frequency of the signal to be analyzed. Based on the background noise and the signal strength of the target frequency, it can determine whether the signal to be analyzed is the target signal. If the signal to be analyzed is the target signal, it can calculate the signal-to-noise ratio of the signal to be analyzed based on the background noise and the signal strength of the target frequency, and determine whether the signal to be analyzed is a characteristic current signal based on the signal-to-noise ratio.

[0067] Among them, the feature code is the signal encoding of the characteristic current.

[0068] In this embodiment, the acquisition terminal first identifies the signal encoding of the received signal to be analyzed and compares it with a preset feature code. The "preset feature code" here specifically refers to the specific signal encoding used by the transmitting device when transmitting the characteristic current signal.

[0069] In one possible implementation method Figure 4 For an example diagram of the signal waveform corresponding to the feature code, please refer to [link / reference]. Figure 4 The signature is 0xAAE9. It should be noted that the signal strength can reach over 80,000, therefore the signal strength needs to be converted using a ratio calculation before analysis and processing.

[0070] Understandably, if the signal code of the signal to be analyzed does not match the feature code, the signal will be directly determined as an invalid signal and filtered out, thereby avoiding non-target signals from interfering with the subsequent identification process.

[0071] If the signal code matches the feature code, the acquisition terminal can further obtain the background noise of the signal to be analyzed and its signal strength value at the target frequency. Here, "target frequency" specifically refers to the specific frequency used by the feature current signal, which is used to carry the feature information required for topology identification, and "background noise" refers to the interference components in the signal to be analyzed other than the feature current signal.

[0072] The acquisition terminal can further judge the signal to be analyzed based on the background noise and the signal strength of the target frequency point to determine whether it is the target signal. If it is the target signal, the next step of judgment is carried out. If it is not the target signal, it can be determined as an invalid signal and filtered out.

[0073] For the target signal, the acquisition terminal can continue to calculate its signal-to-noise ratio based on the background noise and signal strength, and then finally determine whether the signal to be analyzed is a characteristic current signal based on the signal-to-noise ratio.

[0074] In one possible implementation, there can be multiple target frequencies. Based on relevant technical requirements, the target frequencies can be set to two, specifically 783Hz and 883Hz.

[0075] In this embodiment, the acquisition terminal can determine the signal to be analyzed as the target signal when the background noise of the signal to be analyzed does not exceed a preset noise threshold and the signal strength of multiple target frequency points is within a preset strength range.

[0076] Optionally, the preset noise threshold and preset intensity range can be set according to the actual application, for example, the preset noise threshold can be set to 800mA and the preset intensity range can be set to 500-5000mA.

[0077] Understandably, the acquisition terminal can compare the acquired background noise with a preset noise threshold. If the background noise exceeds the threshold, it indicates that the environment in which the signal is located is noisy and there is a possibility of interference signals. Therefore, the signal is filtered out and does not proceed to subsequent stages. Furthermore, the acquisition terminal can also determine whether the signal strength at each target frequency falls within a preset strength range. If the signal strength at any frequency does not fall within this range, it indicates that the characteristic components of the signal at that frequency do not meet the standards for a valid signal. Therefore, the signal is determined to be a non-target signal and filtered out to prevent misidentification due to abnormal signal strength.

[0078] In this embodiment, users can adjust the preset noise threshold and preset intensity range through messages or the display interface of the acquisition terminal according to the actual power environment of different distribution areas. For example, in areas with high noise, the background noise threshold can be appropriately increased to prevent the false filtering of valid signals; in areas with weak signals, the lower limit of signal strength can also be adjusted to adapt to the needs of specific environments. This flexible configuration capability enables the acquisition terminal to adapt to various power environments, improving the applicability and stability of the system.

[0079] Optionally, the acquisition terminal can calculate the sum of signal strengths at multiple target frequency points, and determine the signal-to-noise ratio (SNR) of the signal to be analyzed as the ratio of the sum to the background noise. If the SNR exceeds a preset SNR threshold, the target signal is determined to be a characteristic current signal.

[0080] During the above steps, after the signal to be analyzed is matched by signal encoding, filtered by signal strength of multiple target frequency points, and judged by background noise threshold, the acquisition terminal can further calculate the signal-to-noise ratio of the signal based on the signal strength values ​​of multiple target frequency points and background noise.

[0081] In this embodiment, there can be two target frequency points. The acquisition terminal can acquire the signal strength values ​​at these two frequency points respectively, and sum them to obtain the overall strength of the characteristic current signal at the two frequency points. Then, the sum is compared with the background noise intensity in the current signal to obtain the signal-to-noise ratio of the signal to be analyzed.

[0082] The acquisition terminal can then compare the calculated signal-to-noise ratio (SNR) with a preset SNR threshold. If the SNR exceeds the threshold, it indicates that the characteristic current signal accounts for a sufficiently high proportion of the overall signal, and its characteristic components are not significantly interfered with by background noise. Therefore, the signal to be analyzed can be identified as a characteristic current signal. Conversely, if the SNR is lower than the threshold, it indicates that the characteristic components of the signal may have been interfered with by noise, and there is a risk of misidentification. Therefore, the signal is filtered out and not reported or processed as a valid characteristic current signal.

[0083] Optionally, the signal-to-noise ratio threshold can be set according to the actual application, for example, to 4.0. Users can adjust the signal-to-noise ratio threshold through messages or the display interface of the acquisition terminal according to the actual power environment of different distribution areas.

[0084] To perform the corresponding steps in the above embodiments and various possible methods, an implementation of a characteristic current identification device is given below. Further, please refer to... Figure 5 , Figure 5 This is a functional block diagram of a characteristic current identification device provided in an embodiment of this application. It should be noted that the basic principle and technical effects of the characteristic current identification device provided in this embodiment are the same as those in the above embodiments. For the sake of brevity, any parts not mentioned in this embodiment can be referred to the corresponding content in the above embodiments. The characteristic current identification device includes: an acquisition module 200 and an analysis module 210.

[0085] The acquisition module 200 is used to acquire the signal to be analyzed; the waveform data of the signal to be analyzed includes at least two consecutive complete cycles.

[0086] Understandably, the acquisition module 200 can also be used to perform the above step S20.

[0087] The analysis module 210 is used to determine whether the signal to be analyzed is a characteristic current signal sent by the transmitting device based on the signal encoding, signal strength and background noise of the signal to be analyzed.

[0088] Understandably, the analysis module 210 can also be used to perform the above step S21.

[0089] Optionally, the acquisition module 200 is further configured to acquire a topology signal every preset time interval and determine whether the waveform data of the acquired unanalyzed topology signal includes at least two consecutive cycles; the preset time interval is the duration corresponding to a complete cycle; if the waveform data of the acquired unanalyzed topology signal includes at least two consecutive cycles, then the acquired unanalyzed topology signal is determined as the signal to be analyzed.

[0090] Optionally, the acquisition module 200 is further configured to process the signal strength of the signal to be analyzed according to a preset ratio relationship, so that the signal strength of the signal to be analyzed is within a preset range.

[0091] Optionally, the analysis module 210 is further configured to determine whether the signal code of the signal to be analyzed matches a preset feature code; if the signal code of the signal to be analyzed matches the preset feature code, then determine the background noise and the signal strength of the target frequency of the signal to be analyzed; the feature code is the signal code of the characteristic current; determine whether the signal to be analyzed is a target signal based on the background noise and the signal strength of the target frequency; if the signal to be analyzed is the target signal, then calculate the signal-to-noise ratio of the signal to be analyzed based on the background noise and the signal strength of the target frequency, and determine whether the signal to be analyzed is a characteristic current signal based on the signal-to-noise ratio.

[0092] Optionally, the analysis module 210 is further configured to determine the signal to be analyzed as a target signal when the background noise of the signal to be analyzed does not exceed a preset noise threshold and the signal strength of the multiple target frequency points is within a preset strength range.

[0093] Optionally, the analysis module 210 is further configured to calculate the sum of signal strengths of multiple target frequency points, and determine the ratio of the sum to the background noise as the signal-to-noise ratio of the signal to be analyzed; if the signal-to-noise ratio exceeds a preset signal-to-noise ratio threshold, then the signal to be analyzed is determined to be the characteristic current signal.

[0094] Optionally, the above modules can be stored in the form of software or firmware. Figure 2The memory shown may be stored in or embedded in the operating system (OS) of the acquisition terminal, and can be accessed by... Figure 2 The processor executes the commands. Meanwhile, the data and program code required to execute these modules can be stored in memory.

[0095] This application also provides a storage medium storing a computer program thereon, which, when executed by a processor, can implement the characteristic current identification method provided in this application.

[0096] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0097] In addition, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0098] If a function is implemented as a software module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0099] The above are merely preferred embodiments of this application and are not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for identifying characteristic currents, characterized in that, Applied to a data acquisition terminal, wherein the data acquisition terminal is electrically connected to a transmitting device, the method includes: Acquire the signal to be analyzed; the waveform data of the signal to be analyzed includes at least two consecutive complete cycles; Based on the signal encoding, signal strength, and background noise of the signal to be analyzed, determine whether the signal to be analyzed is a characteristic current signal sent by the transmitting device.

2. The method according to claim 1, characterized in that, The acquisition of the signal to be analyzed includes: The topology signal is acquired every preset time interval, and it is determined whether the waveform data of the acquired but unanalyzed topology signal includes at least two consecutive cycles; the preset time interval is the duration corresponding to a complete cycle. If the waveform data of the acquired unanalyzed topology signal includes at least two consecutive cycles, then the acquired unanalyzed topology signal is determined as the signal to be analyzed.

3. The method according to claim 1, characterized in that, After acquiring the signal to be analyzed, the method further includes: The signal strength of the signal to be analyzed is processed according to a preset transformation ratio to ensure that the signal strength of the signal to be analyzed is within a preset range.

4. The method according to claim 1, characterized in that, The step of determining whether the signal to be analyzed is a characteristic current signal based on the signal encoding, signal strength, and background noise of the signal to be analyzed includes: Determine whether the signal code of the signal to be analyzed matches a preset feature code; If the signal code of the signal to be analyzed matches the preset feature code, then the background noise and the signal strength of the target frequency of the signal to be analyzed are determined; the feature code is the signal code of the characteristic current. Determine whether the signal to be analyzed is the target signal based on the background noise and the signal strength of the target frequency. If the signal to be analyzed is the target signal, then the signal-to-noise ratio of the signal to be analyzed is calculated based on the background noise and the signal strength of the target frequency, and the signal-to-noise ratio is used to determine whether the signal to be analyzed is a characteristic current signal.

5. The method according to claim 4, characterized in that, The target frequency points are multiple, and the step of determining whether the signal to be analyzed is a target signal based on the background noise and the signal strength of the target frequency points includes: If the background noise of the signal to be analyzed does not exceed a preset noise threshold, and the signal strength of multiple target frequency points is within a preset strength range, the signal to be analyzed is determined to be a target signal.

6. The method according to claim 4, characterized in that, The step of calculating the signal-to-noise ratio (SNR) of the signal to be analyzed based on the background noise and the signal strength at the target frequency, and determining whether the signal to be analyzed is a characteristic current signal based on the SNR, includes: The sum of the signal strengths of multiple target frequency points is calculated, and the ratio of the sum to the background noise is determined as the signal-to-noise ratio of the signal to be analyzed. If the signal-to-noise ratio exceeds a preset signal-to-noise ratio threshold, then the signal to be analyzed is determined to be the characteristic current signal.

7. The method according to claim 1, characterized in that, The acquisition terminal is also connected to the main station for communication. The characteristic current signal is sent to the acquisition terminal by the transmitting device when it receives the characteristic current acquisition instruction sent by the acquisition terminal. The characteristic current acquisition command is sent by the acquisition terminal to the transmitting device according to the transmitting device address in the topology identification command when it receives the topology command sent by the master station.

8. A characteristic current identification device, characterized in that, Applied to a data acquisition terminal, wherein the data acquisition terminal is electrically connected to a transmitting device, the device includes: An acquisition module is used to acquire the signal to be analyzed; the waveform data of the signal to be analyzed includes at least two consecutive complete cycles; The analysis module is used to determine whether the signal to be analyzed is a characteristic current signal sent by the transmitting device based on the signal encoding, signal strength and background noise of the signal to be analyzed.

9. A data acquisition terminal, characterized in that, It includes a processor and a memory, the memory storing a computer program executable by the processor, the processor being able to execute the computer program to implement the method of any one of claims 1-7.

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

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