Fault arc monitoring method and system suitable for intelligent electric energy meter

Abstract

The invention discloses a fault arc monitoring method and system suitable for an intelligent electric energy meter, and the method comprises the steps: placing an arc monitoring module in the intelligent electric energy meter, and carrying out the sampling of a current signal of the intelligent electric energy meter through a manganese-copper diverter sampling channel and a high-frequency transformer sampling channel of the arc monitoring module, sampling a voltage signal of the intelligent electric energy meter through a voltage sampling channel; processing the collected current signal through a manganese-copper shunt sampling channel to obtain a low-frequency current signal; processing the collected current signal through a high-frequency mutual inductor sampling channel to obtain a high-frequency current signal; processing the acquired voltage signal through a voltage sampling channel to obtain a low-frequency voltage signal; and identifying the fault arc characteristics of the intelligent electric energy meter by comparing the low-frequency current signal, the high-frequency current signal and the low-frequency voltage signal.

Description

Technical Field

[0001] The present invention relates to the technical field of low-voltage arc fault protection, and more specifically, to a method and system for arc fault monitoring suitable for smart electric energy meters. Background Art

[0002] Safe and reliable power supply is the foundation of economic development. Nearly 80% of electrical fires are caused by fault arcs, which cause huge economic and property losses to the people and seriously affect the safe and stable operation of the power grid. Fault arc monitoring is an important protective measure to prevent electrical fires and the expansion of fault arc hazards. Whether it can achieve good monitoring results is very important.

[0003] From the current research, the existing arc fault monitors are mostly used in terminal branches. The number of installations is large, which is not conducive to management. In addition, the monitored load types are single, resulting in low monitoring accuracy and unsatisfactory application effects.

[0004] Therefore, a technology is needed to monitor the arc fault of the smart electric energy meter. Summary of the invention

[0005] The technical solution of the present invention provides a fault arc monitoring method and system applicable to a smart electric energy meter, so as to solve the problem of how to monitor the fault arc of the smart electric energy meter.

[0006] In order to solve the above problems, the present invention provides a fault arc monitoring method applicable to a smart electric energy meter, the method comprising:

[0007] The arc monitoring module is built into the smart electric energy meter, and the current signal of the smart electric energy meter is sampled through the manganese copper shunt sampling channel and the high-frequency mutual inductor sampling channel of the arc monitoring module, and the voltage signal of the smart electric energy meter is sampled through the voltage sampling channel;

[0008] The collected current signal is processed through the manganese-copper shunt sampling channel to obtain a low-frequency current signal;

[0009] The collected current signal is processed through the high-frequency mutual inductor sampling channel to obtain a high-frequency current signal;

[0010] The collected voltage signal is processed through the voltage sampling channel to obtain a low-frequency voltage signal;

[0011] By comparing the low-frequency current signal, the high-frequency current signal and the low-frequency voltage signal, the fault arc characteristics of the smart electric energy meter are identified.

[0012] Preferably, the current signal collected through the manganese-copper shunt sampling channel is processed to obtain a low-frequency current signal, including:

[0013] Inputting the first sampling signal and the second sampling signal into a low-pass filter circuit to filter out high-frequency signals in the first sampling signal and the second sampling signal;

[0014] Perform impedance matching on the first sampling signal and the second sampling signal after filtering out the high-frequency signal through corresponding operational amplifiers;

[0015] The first sampling signal and the second sampling signal after impedance matching are amplified by a differential operational amplifier to generate a first low-frequency current signal and a second low-frequency current signal.

[0016] Preferably, the processing of the collected current signal through the high-frequency transformer sampling channel to obtain the high-frequency current signal includes:

[0017] Inputting the third sampling signal into a primary protection circuit including a transient voltage suppression diode and a resistor;

[0018] The third sampling signal output by the first-level protection circuit is impedance matched through an operational amplifier;

[0019] Inputting the third sampling signal after impedance matching into a low-pass filter circuit to filter out the low-frequency signal in the third sampling signal;

[0020] The third sampling signal from which the low-frequency signal is filtered out is amplified by an operational amplifier to generate a third high-frequency current signal.

[0021] Preferably, the step of processing the collected voltage signal through the voltage sampling channel to obtain a low-frequency voltage signal includes:

[0022] Inputting the fourth sampling signal into a primary protection circuit including a transient voltage suppression diode and a resistor;

[0023] Perform impedance matching on the fourth sampling signal output by the first-level protection circuit through an operational amplifier;

[0024] Inputting the fourth sampling signal after impedance matching into a low-pass filter circuit to filter out high-frequency signals in the fourth sampling signal;

[0025] The fourth sampling signal from which the high-frequency signal is filtered out is amplified by an operational amplifier to generate a fourth high-frequency current signal.

[0026] Preferably, the arc monitoring module uses an STM32H750 chip.

[0027] Based on another aspect of the present invention, the present invention provides a fault arc monitoring system applicable to a smart electric energy meter, the system comprising: an arc monitoring module, the arc monitoring module comprising a manganese copper shunt sampling channel, a high frequency mutual inductor sampling channel and a voltage sampling channel;

[0028] The arc monitoring module is built into the smart electric energy meter, and samples the current signal of the smart electric energy meter through the manganese copper shunt sampling channel and the high-frequency mutual inductor sampling channel of the arc monitoring module, and samples the voltage signal of the smart electric energy meter through the voltage sampling channel;

[0029] The manganese-copper shunt sampling channel is used to process the collected current signal to obtain a low-frequency current signal;

[0030] The high-frequency transformer sampling channel is used to process the collected current signal to obtain a high-frequency current signal;

[0031] The voltage sampling channel is used to process the collected voltage signal to obtain a low-frequency voltage signal;

[0032] The arc monitoring module transmits the low-frequency current signal, the high-frequency current signal and the low-frequency voltage signal to the smart electric energy meter, and the smart electric energy meter is used to compare the low-frequency current signal, the high-frequency current signal and the low-frequency voltage signal to identify the fault arc characteristics of the smart electric energy meter.

[0033] Preferably, the manganese-copper shunt sampling channel is used to process the collected current signal to obtain a low-frequency current signal, and is also used to:

[0034] Inputting the first sampling signal and the second sampling signal into a low-pass filter circuit to filter out high-frequency signals in the first sampling signal and the second sampling signal;

[0035] Perform impedance matching on the first sampling signal and the second sampling signal after filtering out the high-frequency signal through corresponding operational amplifiers;

[0036] The first sampling signal and the second sampling signal after impedance matching are amplified by a differential operational amplifier to generate a first low-frequency current signal and a second low-frequency current signal.

[0037] Preferably, the high-frequency transformer sampling channel is used to process the collected current signal to obtain the high-frequency current signal, and is also used to:

[0038] Inputting the third sampling signal into a primary protection circuit including a transient voltage suppression diode and a resistor;

[0039] The third sampling signal output by the first-level protection circuit is impedance matched through an operational amplifier;

[0040] Inputting the third sampling signal after impedance matching into a low-pass filter circuit to filter out the low-frequency signal in the third sampling signal;

[0041] The third sampling signal from which the low-frequency signal is filtered out is amplified by an operational amplifier to generate a third high-frequency current signal.

[0042] Preferably, the voltage sampling channel is used to process the collected voltage signal to obtain a low-frequency voltage signal, and is also used to:

[0043] Inputting the fourth sampling signal into a primary protection circuit including a transient voltage suppression diode and a resistor;

[0044] Perform impedance matching on the fourth sampling signal output by the first-level protection circuit through an operational amplifier;

[0045] Inputting the fourth sampling signal after impedance matching into a low-pass filter circuit to filter out high-frequency signals in the fourth sampling signal;

[0046] The fourth sampling signal from which the high-frequency signal is filtered out is amplified by an operational amplifier to generate a fourth high-frequency current signal.

[0047] Preferably, the arc monitoring module uses an STM32H750 chip.

[0048] The technical solution of the present invention provides a fault arc monitoring method and system suitable for smart electric energy meters, wherein the method includes: an arc monitoring module is built into the smart electric energy meter, and the current signal of the smart electric energy meter is sampled through the manganese copper shunt sampling channel and the high-frequency transformer sampling channel of the arc monitoring module, and the voltage signal of the smart electric energy meter is sampled through the voltage sampling channel; the collected current signal is processed through the manganese copper shunt sampling channel to obtain a low-frequency current signal; the collected current signal is processed through the high-frequency transformer sampling channel to obtain a high-frequency current signal; the collected voltage signal is processed through the voltage sampling channel to obtain a low-frequency voltage signal; by comparing the low-frequency current signal, the high-frequency current signal and the low-frequency voltage signal, the fault arc characteristics of the smart electric energy meter are identified. The technical solution of the present invention provides a fault arc monitoring method suitable for smart electric energy meters, which realizes the simultaneous monitoring of multiple branches, ensures the safe operation of the equipment on the power grid side and the user side, prevents fire accidents, and improves the safety and economy of the system operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] A more complete understanding of exemplary embodiments of the present invention may be obtained by referring to the following drawings:

[0050] Figure 1A flow chart of a fault arc monitoring method applicable to a smart electric energy meter according to a preferred embodiment of the present invention;

[0051] Figure 2 A schematic diagram of the internal principle block structure of a fault arc monitoring module and an intelligent electric energy meter according to a preferred embodiment of the present invention;

[0052] Figure 3 A schematic diagram of a manganese-copper shunt current sampling circuit according to a preferred embodiment of the present invention;

[0053] Figure 4 A schematic diagram of a high-frequency transformer current sampling circuit according to a preferred embodiment of the present invention;

[0054] Figure 5 A schematic diagram of a voltage sampling circuit according to a preferred embodiment of the present invention; and

[0055] Figure 6 The structure diagram of a fault arc monitoring system suitable for a smart electric energy meter according to a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0056] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0057] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0058] Figure 1 The present invention is a flowchart of a fault arc monitoring method applicable to a smart electric energy meter according to a preferred embodiment of the present invention.

[0059] The present invention proposes a fault arc monitoring module and method suitable for a smart electric energy meter, and the arc monitoring module can be integrated and built into the smart electric energy meter. In the present invention, the current signal sampling channel is set to two channels, including a manganese copper shunt sampling channel and a high-frequency transformer sampling channel. The two current sampling channels are sampled synchronously, the manganese copper shunt is used for sampling low-frequency signals, and the high-frequency transformer is used for high-frequency signal monitoring. By using the two sampling channels of the manganese copper shunt and the high-frequency transformer at the same time, the low-frequency and high-frequency signals can be sampled and processed respectively, and the waveform changes of the two signals can be compared and analyzed, so that the characteristics of the fault arc can be more accurately identified, thereby improving the accuracy and reliability of the fault arc monitoring.

[0060] The arc monitoring module of the present invention is used in conjunction with an intelligent electric energy meter. The function realization process is as follows: Figure 2 As shown. The 5V working power supply of the arc monitoring module 1 is provided by the power supply circuit 3 on the smart energy meter 2. The arc monitoring module 1 samples the current and voltage signals through the manganese copper transformer sampling 7, high frequency transformer sampling 8 and voltage sampling 9 of the smart energy meter 2. After the sampling signal is A / D converted by the arc main control module 6, it is transmitted to the MCU of the smart energy meter for processing and analysis to determine whether there is an arc, generate a fault arc event accordingly, and report it through communication. As a preferred embodiment, the arc main control module 6 uses the STM32H750 chip.

[0061] like Figure 1 As shown, the present invention provides a fault arc monitoring method applicable to a smart electric energy meter, the method comprising:

[0062] Step 101: an arc monitoring module is built into a smart electric energy meter, and a current signal of the smart electric energy meter is sampled through a manganese copper shunt sampling channel and a high-frequency transformer sampling channel of the arc monitoring module, and a voltage signal of the smart electric energy meter is sampled through a voltage sampling channel;

[0063] Preferably, the arc monitoring module uses an STM32H750 chip.

[0064] Step 102: Processing the collected current signal through the manganese copper shunt sampling channel to obtain a low-frequency current signal;

[0065] Preferably, the collected current signal is processed through the manganese copper shunt sampling channel to obtain the low-frequency current signal, including:

[0066] Inputting the first sampling signal and the second sampling signal into a low-pass filter circuit to filter out high-frequency signals in the first sampling signal and the second sampling signal;

[0067] The first sampling signal and the second sampling signal after filtering out the high-frequency signal are impedance matched through corresponding operational amplifiers;

[0068] The first sampling signal and the second sampling signal after impedance matching are amplified by a differential operational amplifier to generate a first low-frequency current signal and a second low-frequency current signal.

[0069] Step 103: Processing the collected current signal through the high-frequency transformer sampling channel to obtain a high-frequency current signal;

[0070] Preferably, the collected current signal is processed through a high-frequency transformer sampling channel to obtain a high-frequency current signal, including:

[0071] Inputting the third sampling signal into a primary protection circuit including a transient voltage suppression diode and a resistor;

[0072] The third sampling signal output by the first-level protection circuit is impedance matched through an operational amplifier;

[0073] Inputting the impedance-matched third sampling signal into a low-pass filter circuit to filter out the low-frequency signal in the third sampling signal;

[0074] The third sampling signal from which the low-frequency signal is filtered out is amplified by an operational amplifier to generate a third high-frequency current signal.

[0075] Step 104: Processing the collected voltage signal through the voltage sampling channel to obtain a low-frequency voltage signal;

[0076] Preferably, the collected voltage signal is processed through a voltage sampling channel to obtain a low-frequency voltage signal, including:

[0077] Inputting the fourth sampling signal into a primary protection circuit including a transient voltage suppression diode and a resistor;

[0078] Perform impedance matching on the fourth sampling signal output by the first-level protection circuit through an operational amplifier;

[0079] Inputting the fourth sampling signal after impedance matching into a low-pass filter circuit to filter out high-frequency signals in the fourth sampling signal;

[0080] The fourth sampling signal from which the high-frequency signal is filtered out is amplified by an operational amplifier to generate a fourth high-frequency current signal.

[0081] Step 105: Identify the fault arc characteristics of the smart electric energy meter by comparing the low-frequency current signal, the high-frequency current signal and the low-frequency voltage signal.

[0082] The voltage and current sampling process of the present invention is as follows Figure 3-5 As shown: The sampling process of manganese copper transformer sampling 7 is as follows Figure 3As shown, the sampling signals V1P and V1N enter the module. First, they are filtered out by the RC low-pass filter circuit composed of R2 and C2, R6 and C4 respectively. The high-frequency signal is then filtered out. Secondly, the impedance is matched by the operational amplifiers U1 and U3 respectively to improve the signal transmission efficiency. Then, the signal is amplified by the differential operational amplifier U2. Finally, the low-frequency differential signals I1N and I1P are input through the differential input terminals of the STM32H750 chip 6. The sampling process of the high-frequency transformer sampling 8 is shown in FIG. Figure 4 As shown, first, the signal V2P passes through the primary protection circuit composed of transient voltage suppression diode TVS1 and resistor R14; then, it passes through the operational amplifier U7 for impedance matching; secondly, it passes through the high-pass filter composed of capacitor C16 and resistor R20 to filter out the low-frequency signal with the set cutoff frequency; then, the signal passes through the operational amplifier U8 for signal amplification; finally, the signal I4P containing the high-frequency arc is input through the operational amplifier input terminal of the STM32H750 chip 6, and the signal is amplified twice inside the chip to reduce the interference caused by the external circuit amplification signal. The implementation process of voltage sampling 9 is as follows Figure 5 As shown, first, the signal V3N passes through the primary protection circuit composed of transient voltage suppression diode TVS4 and resistor R39; then, it passes through operational amplifiers U13 and U15 for impedance matching; secondly, it passes through a low-pass filter composed of capacitor C43 and resistor R40 to filter out high-frequency signals; then, the signal passes through operational amplifier U14 for signal amplification; finally, the low-frequency voltage signal V3P is input through the ADC input terminal of the STM32H750 chip 6. The voltage and current signals enter the STM32H750 chip 6 through multiple channels for A / D conversion, and then are transmitted to the MCU of the smart energy meter, and the algorithm analysis of the signals sampled by the two currents is performed, that is, the low-frequency fundamental wave and the higher harmonics generated when the fault arc occurs, the fault arc is identified, and the occurrence of the fault arc is judged, and the corresponding fault arc event is generated, and the communication is reported.

[0083] The present invention adopts an innovative signal processing method for the low-frequency signal sampled by the manganese copper shunt and the high-frequency signal sampled by the high-frequency mutual inductor. By dividing the arc sampling signal into two parts, high frequency and low frequency, and performing comparative analysis, the characteristics of the fault arc can be more accurately identified, thereby improving the accuracy of the fault arc monitoring. In addition, in order to improve the efficiency of the circuit and the transmission quality of the signal, the manganese copper shunt sampling provided by the present invention uses a differential operational amplifier to reduce the influence of common mode noise; the high-frequency mutual inductor sampling uses a peripheral amplifier circuit and an operational amplifier inside the STM32H750 chip to reduce the interference caused by amplification; in addition, the circuit design of the present invention also uses precise filtering technology, such as RC low-pass filtering and high-pass filtering circuits, to ensure the stability and accuracy of the signal during transmission. The combination of these technical measures not only improves the signal-to-noise ratio of the signal, but also enhances the anti-interference ability of the system, ensuring the reliability of the fault arc monitoring results.

[0084] The current signal sampling channel of the present invention is set as two channels, including a manganese copper shunt sampling channel and a high-frequency mutual inductor sampling channel. The two current sampling channels are sampled synchronously. The manganese copper shunt is used for sampling low-frequency signals, and the high-frequency mutual inductor is used for monitoring high-frequency signals. By simultaneously using the two sampling channels of the manganese copper shunt and the high-frequency mutual inductor, the low-frequency and high-frequency signals can be sampled and processed respectively, and the waveform changes of the two signals are compared and analyzed, so that the characteristics of the fault arc can be identified more accurately, thereby improving the accuracy and reliability of fault arc monitoring.

[0085] The arc monitoring module of the present invention can be used in conjunction with an intelligent electric energy meter. The function realization process is as follows: Figure 2 As shown. The 5V working power supply of the arc monitoring module 1 is provided by the power supply circuit 3 on the smart energy meter 2. The arc monitoring module 1 samples the current and voltage signals through the manganese copper transformer sampling 7, high frequency transformer sampling 8 and voltage sampling 9 of the smart energy meter 2. After the sampling signal is A / D converted by the arc main control module 6, it is transmitted to the MCU of the smart energy meter for processing and analysis to determine whether there is an arc, generate a fault arc event accordingly, and report it through communication.

[0086] The present invention adds high-frequency transformer current sampling on the basis of single manganese copper shunt current sampling. This is because the sampling signal of manganese copper shunt is very weak. After amplification, the noise will be amplified synchronously, and the signal-to-noise ratio is poor, which is not conducive to the identification of fault arcs. It is more suitable for sampling low-frequency signals. In this patent, it is used to provide fundamental signals. High-frequency transformers not only have stronger signals, but also can filter out low frequencies by themselves, which is conducive to improving the signal-to-noise ratio of high-frequency signals. It is more suitable for fault arc monitoring and is used to provide high-frequency signals in this invention.

[0087] Figure 6The structure diagram of a fault arc monitoring system suitable for a smart electric energy meter according to a preferred embodiment of the present invention.

[0088] like Figure 6 As shown, the present invention provides a fault arc monitoring system suitable for a smart electric energy meter, the system comprising: an arc monitoring module, the arc monitoring module comprising a manganese copper shunt sampling channel, a high frequency mutual inductor sampling channel and a voltage sampling channel;

[0089] The arc monitoring module is built into the smart energy meter, and samples the current signal of the smart energy meter through the manganese copper shunt sampling channel and the high-frequency transformer sampling channel of the arc monitoring module, and samples the voltage signal of the smart energy meter through the voltage sampling channel;

[0090] The manganese copper shunt sampling channel is used to process the collected current signal and obtain the low-frequency current signal;

[0091] Preferably, the manganese-copper shunt sampling channel is used to process the collected current signal to obtain a low-frequency current signal, and is also used to:

[0092] Inputting the first sampling signal and the second sampling signal into a low-pass filter circuit to filter out high-frequency signals in the first sampling signal and the second sampling signal;

[0093] The first sampling signal and the second sampling signal after filtering out the high-frequency signal are impedance matched through corresponding operational amplifiers;

[0094] The first sampling signal and the second sampling signal after impedance matching are amplified by a differential operational amplifier to generate a first low-frequency current signal and a second low-frequency current signal.

[0095] The high-frequency transformer sampling channel is used to process the collected current signal to obtain a high-frequency current signal;

[0096] Preferably, the high-frequency transformer sampling channel is used to process the collected current signal to obtain the high-frequency current signal, and is also used to:

[0097] Inputting the third sampling signal into a primary protection circuit including a transient voltage suppression diode and a resistor;

[0098] The third sampling signal output by the first-level protection circuit is impedance matched through an operational amplifier;

[0099] Inputting the impedance-matched third sampling signal into a low-pass filter circuit to filter out the low-frequency signal in the third sampling signal;

[0100] The third sampling signal from which the low-frequency signal is filtered out is amplified by an operational amplifier to generate a third high-frequency current signal.

[0101] The voltage sampling channel is used to process the collected voltage signal and obtain the low-frequency voltage signal;

[0102] Preferably, the voltage sampling channel is used to process the collected voltage signal to obtain a low-frequency voltage signal, and is also used to:

[0103] Inputting the fourth sampling signal into a primary protection circuit including a transient voltage suppression diode and a resistor;

[0104] Perform impedance matching on the fourth sampling signal output by the first-level protection circuit through an operational amplifier;

[0105] Inputting the fourth sampling signal after impedance matching into a low-pass filter circuit to filter out high-frequency signals in the fourth sampling signal;

[0106] The fourth sampling signal from which the high-frequency signal is filtered out is amplified by an operational amplifier to generate a fourth high-frequency current signal.

[0107] The arc monitoring module transmits the low-frequency current signal, high-frequency current signal and low-frequency voltage signal to the smart electric energy meter. The smart electric energy meter is used to compare the low-frequency current signal, high-frequency current signal and low-frequency voltage signal to identify the fault arc characteristics of the smart electric energy meter.

[0108] Preferably, the arc monitoring module uses an STM32H750 chip.

[0109] An embodiment of the present invention provides a fault arc monitoring system applicable to a smart energy meter, which corresponds to another preferred embodiment of the present invention providing a fault arc monitoring method applicable to a smart energy meter, and will not be described in detail here.

[0110] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0111] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0112] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0113] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0114] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0115] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

[0116] The invention has been described above with reference to a few embodiments. However, it is readily apparent to a person skilled in the art that other embodiments than the ones disclosed above are equally within the scope of the invention, as defined by the appended patent claims.

[0117] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a / said / the [means, components, etc.]" are to be openly interpreted as at least one instance of the means, components, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not necessarily have to be performed in the exact order disclosed, unless explicitly stated otherwise.

Claims

1. A fault arc monitoring method applicable to a smart electric energy meter, the method comprising: The arc monitoring module is built into the smart electric energy meter, and the current signal of the smart electric energy meter is sampled through the manganese copper shunt sampling channel and the high-frequency mutual inductor sampling channel of the arc monitoring module, and the voltage signal of the smart electric energy meter is sampled through the voltage sampling channel; The collected current signal is processed through the manganese-copper shunt sampling channel to obtain a low-frequency current signal; The collected current signal is processed through the high-frequency mutual inductor sampling channel to obtain a high-frequency current signal; Processing the collected voltage signal through the voltage sampling channel to obtain a low-frequency voltage signal; By comparing the low-frequency current signal, the high-frequency current signal and the low-frequency voltage signal, the fault arc characteristics of the smart electric energy meter are identified.

2. The method according to claim 1, wherein the current signal collected is processed through the manganese-copper shunt sampling channel to obtain a low-frequency current signal, comprising: Inputting the first sampling signal and the second sampling signal into a low-pass filter circuit to filter out high-frequency signals in the first sampling signal and the second sampling signal; Perform impedance matching on the first sampling signal and the second sampling signal after filtering out the high-frequency signal through corresponding operational amplifiers; The first sampling signal and the second sampling signal after impedance matching are amplified by a differential operational amplifier to generate a first low-frequency current signal and a second low-frequency current signal.

3. The method according to claim 1, wherein the processing of the collected current signal through the high-frequency transformer sampling channel to obtain the high-frequency current signal comprises: Inputting the third sampling signal into a primary protection circuit including a transient voltage suppression diode and a resistor; The third sampling signal output by the first-level protection circuit is impedance matched through an operational amplifier; Inputting the third sampling signal after impedance matching into a low-pass filter circuit to filter out the low-frequency signal in the third sampling signal; The third sampling signal from which the low-frequency signal is filtered out is amplified by an operational amplifier to generate a third high-frequency current signal.

4. The method according to claim 1, wherein the voltage sampling channel is used to process the collected voltage signal to obtain a low-frequency voltage signal, comprising: Inputting the fourth sampling signal into a primary protection circuit including a transient voltage suppression diode and a resistor; Perform impedance matching on the fourth sampling signal output by the first-level protection circuit through an operational amplifier; Inputting the fourth sampling signal after impedance matching into a low-pass filter circuit to filter out high-frequency signals in the fourth sampling signal; The fourth sampling signal from which the high-frequency signal is filtered out is amplified by an operational amplifier to generate a fourth high-frequency current signal.

5. According to the method of claim 1, the arc monitoring module uses STM32H750 chip.

6. A fault arc monitoring system suitable for a smart electric energy meter, the system comprising: An arc monitoring module, the arc monitoring module comprising a manganese copper shunt sampling channel, a high frequency transformer sampling channel and a voltage sampling channel; The arc monitoring module is built into the smart electric energy meter, and samples the current signal of the smart electric energy meter through the manganese copper shunt sampling channel and the high-frequency mutual inductor sampling channel of the arc monitoring module, and samples the voltage signal of the smart electric energy meter through the voltage sampling channel; The manganese-copper shunt sampling channel is used to process the collected current signal to obtain a low-frequency current signal; The high-frequency transformer sampling channel is used to process the collected current signal to obtain a high-frequency current signal; The voltage sampling channel is used to process the collected voltage signal to obtain a low-frequency voltage signal; The arc monitoring module transmits the low-frequency current signal, the high-frequency current signal and the low-frequency voltage signal to the smart electric energy meter, and the smart electric energy meter is used to compare the low-frequency current signal, the high-frequency current signal and the low-frequency voltage signal to identify the fault arc characteristics of the smart electric energy meter.

7. The system according to claim 6, wherein the manganese bronze shunt sampling channel is used to process the collected current signal to obtain a low-frequency current signal, and is also used to: Inputting the first sampling signal and the second sampling signal into a low-pass filter circuit to filter out high-frequency signals in the first sampling signal and the second sampling signal; Perform impedance matching on the first sampling signal and the second sampling signal after filtering out the high-frequency signal through corresponding operational amplifiers; The first sampling signal and the second sampling signal after impedance matching are amplified by a differential operational amplifier to generate a first low-frequency current signal and a second low-frequency current signal.

8. The system according to claim 6, wherein the high-frequency transformer sampling channel is used to process the collected current signal to obtain the high-frequency current signal, and is also used to: Inputting the third sampling signal into a primary protection circuit including a transient voltage suppression diode and a resistor; The third sampling signal output by the first-level protection circuit is impedance matched through an operational amplifier; Inputting the third sampling signal after impedance matching into a low-pass filter circuit to filter out the low-frequency signal in the third sampling signal; The third sampling signal from which the low-frequency signal is filtered out is amplified by an operational amplifier to generate a third high-frequency current signal.

9. The system according to claim 6, wherein the voltage sampling channel is used to process the collected voltage signal to obtain a low-frequency voltage signal, and is also used to: Inputting the fourth sampling signal into a primary protection circuit including a transient voltage suppression diode and a resistor; Perform impedance matching on the fourth sampling signal output by the first-level protection circuit through an operational amplifier; Inputting the fourth sampling signal after impedance matching into a low-pass filter circuit to filter out high-frequency signals in the fourth sampling signal; The fourth sampling signal from which the high-frequency signal is filtered out is amplified by an operational amplifier to generate a fourth high-frequency current signal.

10. The system according to claim 6, wherein the arc monitoring module uses an STM32H750 chip.

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