Signal identification device, method and equipment for electric leakage detection and medium

Abstract

The invention provides a signal identification device and method for electric leakage detection, electronic equipment and a storage medium, and the device comprises a signal transmitting module which is used for injecting a characteristic signal with a preset frequency and a preset voltage into a target detection area; the signal receiving module is used for receiving a magnetic field generated by the characteristic signal at the fault line in the target detection area in a non-electrified contact mode and then converting the magnetic field into an electric signal; and the signal processing module is used for performing signal processing on the electric signal, identifying whether the detection signal obtained after signal processing is the characteristic signal injected by the signal transmitting module, and generating a signal identification result. Through a non-contact detection method, direct contact with electrified equipment is avoided, the electric shock risk is greatly reduced, and the safety and flexibility of detection work are improved; and through a specific signal injection and characteristic signal identification method, an electric leakage point can be detected and positioned more accurately, and false alarm and missing alarm of electric leakage detection are reduced.

Description

Technical Field

[0001] The present application relates to the technical field of low-voltage leakage detection, and in particular to a signal recognition device, method, electronic device and storage medium for leakage detection. Background Art

[0002] With the ever-increasing demand for electricity in modern society, low-voltage distribution networks have become a vital component of urban and rural infrastructure. The reliability of these networks directly impacts people's daily lives and the normal operation of industrial production. However, leakage in low-voltage distribution systems has long been a major challenge for the power industry. Leakage not only wastes energy but can also cause safety incidents such as electric shock and fire, posing a serious threat to people's lives and property.

[0003] Traditional low-voltage leakage detection technology relies primarily on direct live contact, connecting the detection equipment to low-voltage distribution transformers or power lines. These methods have significant limitations and safety hazards. For example, many transformers are installed in difficult-to-access locations, such as the tops of poles, making the installation and operation of detection equipment very inconvenient. During live contact, workers face the risk of electric shock, especially in high-voltage environments. Furthermore, achieving live contact sometimes requires damaging the transformer's insulating sleeve or the insulation layer of the power line, which not only increases maintenance costs but also poses long-term insulation safety risks.

[0004] Furthermore, existing technologies also have shortcomings in terms of accuracy and response speed of leakage detection. In complex power distribution networks, especially those with long lines, numerous branches, and hidden lines, it is extremely difficult to quickly and accurately locate leakage points.

[0005] The preceding description is intended to provide general background information and does not necessarily constitute prior art. Summary of the Invention

[0006] In response to the above technical problems, the present application provides a signal recognition device, method, electronic device and storage medium for leakage detection to solve the problems of insufficient safety, low efficiency and low accuracy in existing low-voltage leakage detection technology, and realize automated and intelligent power safety management.

[0007] To solve the above technical problems, the present application provides a signal recognition device for leakage detection, comprising a signal transmitting module, a signal receiving module and a signal processing module;

[0008] The signal transmitting module is used to inject a characteristic signal with a preset frequency and a preset voltage into the target detection area;

[0009] The signal receiving module is configured to receive the magnetic field generated by the characteristic signal at the fault line in the target detection area in a non-electrical contact manner, and convert the magnetic field into a corresponding electrical signal;

[0010] The signal processing module is used to perform signal processing on the electrical signal, identify whether the detection signal obtained after the signal processing is the characteristic signal injected by the signal transmission module, and generate a signal identification result.

[0011] Furthermore, in some embodiments of the present application, the following is further included:

[0012] an alarm module, configured to generate alarm information when identifying the detection signal obtained after signal processing as a characteristic signal, and to issue a corresponding alarm signal based on the alarm information;

[0013] The communication module is used to send the signal recognition result and the alarm information to a remote monitoring system.

[0014] Furthermore, in some embodiments of the present application, the alarm module includes:

[0015] An audible alarm is used to issue an audible warning when a fault line is detected to be in a leakage state;

[0016] Optical signal indicator, used to indicate that the fault line is in a leakage state through visual signals.

[0017] Furthermore, in some embodiments of the present application, the signal transmission module includes at least one coupling coil, and the coupling coil is used to couple the characteristic signal to a target detection area.

[0018] Furthermore, in some embodiments of the present application, the signal receiving module includes a magnetic coil sensor for detecting a magnetic field generated by the characteristic signal at the fault line, and converting the magnetic field into an electric field to obtain a corresponding electric signal;

[0019] Wherein, the magnetic coil sensor includes a ferrite magnetic rod, a rubber hose and an enameled wire.

[0020] Furthermore, in some embodiments of the present application, the signal receiving module calculates the electrical signal corresponding to the magnetic field using a preset induced voltage algorithm formula; wherein the preset induced voltage algorithm formula is:

[0021]

[0022] Where V0 is the induced voltage of the magnetic core coil sensor, N is the number of coil turns, μ0 is the vacuum magnetic permeability, d is the distance between the magnetic core coil sensor and the wire, R is the resistance of the fault line to ground, and R iis the outer diameter of the rubber hose, L is the length of the ferrite core, R0 is the diameter of the ferrite core, and dV / dt is the rate of change of the characteristic signal injected by the leakage detection signal transmitting coupler over time.

[0023] Furthermore, in some embodiments of the present application, the signal processing module includes:

[0024] a differential amplification unit, configured to perform differential amplification processing on the electrical signal output by the signal receiving module;

[0025] An integral restoration unit, used to perform integral restoration processing on the electrical signal after differential amplification processing to obtain a detection signal;

[0026] a common-phase amplification unit, configured to perform common-phase amplification processing on the detection signal;

[0027] a data processing unit, configured to sample the detection signal after the in-phase amplification processing to obtain a corresponding digital signal, and then perform a fast Fourier transform on the digital signal to obtain a corresponding frequency spectrum;

[0028] The signal judgment unit is used to compare the frequency spectrum with the characteristic signal of the preset frequency and preset voltage to judge whether the detection signal is the characteristic signal injected by the signal transmission module and generate a signal recognition result.

[0029] Accordingly, the present application provides a signal recognition method for leakage detection, comprising the following steps:

[0030] Injecting a characteristic signal with a preset frequency and a preset voltage into the target detection area;

[0031] receiving the magnetic field generated by the characteristic signal at the fault line in the target detection area in a non-electrical contact manner, and converting the magnetic field into a corresponding electrical signal;

[0032] The electrical signal is processed, and it is identified whether the detection signal obtained after the signal processing is the injected characteristic signal, and a signal identification result is generated.

[0033] The present application also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the steps of the signal recognition method for leakage detection as described above when executing the program.

[0034] The present application also provides a storage medium storing a computer program that can be loaded by a processor and execute the signal recognition method for leakage detection as described above.

[0035] The implementation of the embodiments of the present application has the following beneficial effects:

[0036] As described above, the present application provides a signal identification device, method, electronic device and storage medium for leakage detection, and the signal identification device for leakage detection includes a signal transmitting module, a signal receiving module and a signal processing module; wherein the signal transmitting module is used to inject a characteristic signal with a preset frequency and a preset voltage into the target detection area; the signal receiving module is used to receive the magnetic field generated by the characteristic signal at the fault line in the target detection area in a non-electrical contact manner, and convert the magnetic field into a corresponding electrical signal; the signal processing module is used to perform signal processing on the electrical signal, and identify whether the detection signal obtained after the signal processing is the characteristic signal injected by the signal transmitting module, and generate a signal identification result. The present application provides a signal recognition scheme for low-voltage leakage detection. Through a non-contact detection method, direct contact with live equipment is avoided, the risk of electric shock is greatly reduced, and the safety of detection work is improved. Since no live contact is required, the detection equipment can be used in various locations, including hard-to-reach places, thereby improving the flexibility of detection. Through specific signal injection and characteristic signal recognition methods, the leakage point can be detected and located more accurately, reducing false alarms and missed alarms in leakage detection, improving the accuracy and efficiency of leakage detection, avoiding energy loss and potential safety accidents caused by leakage, and realizing automated and intelligent power safety management. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings herein are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for describing the embodiments. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without inventive work.

[0038] Figure 1 Schematic diagram of the structure of a signal recognition device for leakage detection provided by an embodiment of the present application;

[0039] Figure 2 This is a schematic diagram of the spatial coupling signal transmission principle for low-voltage leakage detection provided by an embodiment of the present application;

[0040] Figure 3 This is another structural diagram of a signal recognition device for leakage detection provided by an embodiment of the present application;

[0041] Figure 4 is a schematic structural diagram of a magnetic coil sensor provided in an embodiment of the present application;

[0042] Figure 5 Schematic diagram of the structure of the signal processing module for low-voltage leakage detection provided by an embodiment of the present application;

[0043] Figure 6 1 is a flow chart of a signal recognition method for leakage detection provided in an embodiment of the present application;

[0044] Figure 7 It is a structural diagram of an electronic device provided in an embodiment of the present application.

[0045] The purpose of this application, its features, and advantages will be further described in conjunction with the embodiments and with reference to the accompanying drawings. The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and the accompanying text are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of this application to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0046] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0047] It should be noted that, in this document, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, components, features, and elements with the same name in different embodiments of the present application may have the same meaning or different meanings, and their specific meanings need to be determined by their explanation in the specific embodiment or further combined with the context of the specific embodiment.

[0048] It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0049] In the subsequent description, the use of suffixes such as "module", "component" or "unit" to represent elements is only for the purpose of facilitating the description of the present application and has no specific meaning. Therefore, "module", "component" or "unit" can be used interchangeably.

[0050] With the continuous construction of low-voltage distribution networks, the number of electricity users in the same substation and the same line is increasing, and the frequency of leakage is also increasing. After a leakage occurs in a low-voltage substation, it is usually difficult to find the leakage location accurately and quickly due to problems such as long lines, many branches, hidden lines, and non-standard engineering. This leads to economic problems of power loss and safety problems of electric shock for both power grid companies and electricity users.

[0051] In order to solve the problem of leakage detection in low-voltage substations and lines, the main technical solutions at present are: First, the residual current vector sum of the phase line is identified by the current transformer to determine whether the line is leaking. For single-phase power lines, there should be I 火线 =I 零线 , otherwise there will be leakage; for three-phase power lines, there should be Otherwise there is leakage; secondly, the line power is detected in sections, and the current value is obtained at the beginning of the section line and at the end of the line. 首端 =I 末端 Otherwise, there is leakage; thirdly, through power carrier injection, the characteristic voltage signal is injected into the A, B, C, and N phases of the measured area with power, and the carrier signal value of the four-phase line is detected at the measuring end simultaneously, and the resistance value of the measured line to the ground is calculated to determine whether there is leakage.

[0052] The disadvantages of the existing technology are: first, the use location is limited. If the transformer is installed on the top of the pole, it is very inconvenient to carry out leakage detection; second, there are safety risks. Live contact needs to be formed during operation, which poses a risk of electric shock; third, insulation is destroyed. In order to form live contact or inject voltage signals, it may be necessary to break the insulating sleeve of the transformer or the insulation layer of the power conductor, which brings insulation safety hazards.

[0053] In response to the above technical problems, the embodiments of the present application provide a signal identification device, method, electronic device and storage medium for leakage detection. Based on the principle of electromagnetic induction, it can couple characteristic signals to low-voltage substation transformers and lines without live contact, and identify characteristic signals at other nodes of the line in a non-live contact manner, thereby completing signal transmission and calculating whether there is leakage in the substation and line.

[0054] See also Figure 1 , Figure 1 : is a schematic diagram of the structure of a signal recognition device for leakage detection provided in an embodiment of the present application. The signal recognition device for leakage detection may specifically include a signal transmitting module 100, a signal receiving module 200 and a signal processing module 300, and may be specifically as follows:

[0055] The signal transmitting module 100 is used to inject a characteristic signal with a preset frequency and a preset voltage into the target detection area;

[0056] Specifically, the signal transmission module 100 is responsible for injecting a characteristic signal with a preset frequency and voltage into the low-voltage power supply area (the target detection area). This step is critical to achieving leakage detection. The characteristic signal must be designed to ensure reliable detection without contacting the power lines.

[0057] The signal receiving module 200 is used to receive the magnetic field generated by the characteristic signal at the fault line in the target detection area in a non-electrical contact manner and convert the magnetic field into a corresponding electrical signal;

[0058] Specifically, the signal receiving module 200 is used to receive the magnetic field changes generated by the characteristic signal at the fault line in the target detection area through non-electrical contact, and convert the magnetic field changes into corresponding electrical signals, avoiding the safety hazards of traditional electric contact methods.

[0059] The signal processing module 300 is used to process the electrical signal, identify whether the detection signal obtained after the signal processing is the characteristic signal injected by the signal transmission module, and generate a signal recognition result;

[0060] Specifically, the signal processing module 300 performs advanced signal processing on the received electrical signal, including differential amplification, integral reduction, in-phase amplification, and fast Fourier transform (FFT). This series of processing steps ensures signal clarity and accuracy, improving the reliability of leakage detection. The signal processing module ultimately determines whether the processed signal is a characteristic signal and generates a signal identification result. This result is directly used for subsequent alarm and monitoring.

[0061] In a specific embodiment, when the low-voltage power distribution system operates normally and no leakage occurs, the transformer, line, and electrical appliances form a closed loop, and electricity flows to the user through the three phases A, B, and C, and flows back to the transformer through the N phase; when leakage occurs, a small amount of electricity flows from the leakage point to the ground, and the transformer, line, leakage point, and ground form a leakage loop, and electricity flows to the leakage point through the phase line, and the leakage current flows back to the transformer through the ground (such as Figure 2 In this embodiment, the leakage circuit is used as a channel for signal coupling and transmission. Only when the leakage circuit is formed can the characteristic signal be identified, thereby inferring the location where the leakage occurs.

[0062] It can be seen that the signal recognition device for leakage detection provided in this embodiment significantly reduces the safety risks of workers in the leakage detection process through non-contact detection technology; the device can be used in various environments and is not restricted by the installation location, which improves the flexibility of the detection work; advanced signal processing technology ensures accurate signal recognition and reduces the misjudgment rate of leakage detection; the application of fast Fourier transform technology greatly improves the speed of signal processing, so that leakage detection can respond quickly; it avoids energy loss and potential safety accidents caused by leakage, thereby reducing economic losses and reducing long-term operating costs.

[0063] Furthermore, if Figure 3 As shown, in some embodiments, the signal recognition device for leakage detection may further include:

[0064] The alarm module 400 is configured to generate alarm information when the detection signal obtained after signal processing is identified as a characteristic signal, and to issue a corresponding alarm signal based on the alarm information;

[0065] Specifically, for the alarm module 400, when the signal processing module identifies the characteristic signal, that is, when a leakage is detected, an alarm message is immediately generated, and different alarm signals are issued according to the content of the alarm message.

[0066] Communication module 500, used to send signal recognition results and alarm information to the remote monitoring system;

[0067] Specifically, the communication module 500, in addition to transmitting signal recognition results, is also responsible for sending alarm information to the remote monitoring system, allowing remote monitoring personnel to promptly understand on-site conditions and take appropriate action. Through the communication module, the signal recognition device can establish two-way communication with the remote monitoring system. The remote system can not only receive alarm information but also send control commands to the signal recognition device.

[0068] This embodiment can issue an alarm immediately, significantly improving the response speed to leakage hazards and helping to prevent potential safety accidents; it provides the ability to interact with the remote monitoring system, allowing monitoring personnel to grasp the on-site situation in real time, improving the monitoring efficiency and management level of the power system; the extended function of the communication module improves the operability of the device, allowing remote monitoring personnel to make quick decisions and operations based on the alarm information; through timely alarms and remote monitoring, the safety risks caused by leakage are reduced, and the safety of personnel and the integrity of equipment are protected; the alarm system that can be remotely monitored and managed reduces the need for on-site inspections, reducing maintenance costs and workload.

[0069] Furthermore, in some embodiments, the alarm module 400 may specifically include:

[0070] An audible alarm is used to issue an audible warning when a fault line is detected to be in a leakage state;

[0071] Optical signal indicator, used to indicate that the fault line is in a leakage state through visual signals.

[0072] Specifically, the alarm module 400 in this embodiment may include a sound alarm and a light signal indicator. The sound alarm is used to issue a clear and loud sound warning, such as a buzzer, when a leakage is detected, which can quickly attract the attention of the operator and prompt them to take necessary safety measures; the light signal indicator indicates the leakage state through a visual signal, for example, a flashing or continuously lit light can be used to remind on-site personnel that there is a danger of leakage. By combining the two alarm modes of sound and light signals, the device can adapt to different working environments, ensuring that the light signal can serve as an effective supplement when the sound warning may be ignored or inaudible. The alarm module can also work in conjunction with the communication module. When the local alarm is triggered, the communication module will simultaneously send the alarm information to the remote monitoring system to achieve instant linkage between the on-site and remote.

[0073] The multi-mode alarm mechanism provided in this embodiment ensures that personnel can be notified of leakage events in a timely manner in various environments, effectively improving workplace safety; the instant feedback mechanism of sound and light signals enables on-site personnel to respond quickly to leakage events, reducing the development time of potential hazards; the design of the alarm module takes into account the needs of different environments, and can effectively issue warnings whether in noisy industrial environments or offices that require a quiet environment; user-configurable alarm options improve the user experience, allowing users to adjust alarm characteristics according to personal preferences and actual needs; and the synergy with the communication module enhances remote monitoring capabilities, allowing monitoring personnel to promptly understand and handle leakage events even when away from the site.

[0074] Furthermore, in some embodiments, the signal transmission module includes at least one coupling coil, and the coupling coil is used to couple the characteristic signal to the target detection area.

[0075] Specifically, the signal transmission module in this embodiment includes at least one coupling coil, which is a key component for transmitting the characteristic signal to the target detection station. The design of the coupling coil needs to ensure effective signal injection and spatial coupling. The coupling coil couples the characteristic signal to the target detection station. This process involves the electromagnetic field distribution and propagation of the signal. The design parameters of the coupling coil, such as the number of turns, diameter, and material, will affect the signal coupling efficiency. When designing the coupling coil, it is necessary to consider its compatibility in complex electromagnetic environments to ensure that the characteristic signal can be stably transmitted in various interferences while not adversely affecting other electronic devices. The installation position and method of the coupling coil are crucial to the signal injection efficiency. The design should consider how to seamlessly integrate the coupling coil with the existing power system to achieve the best coupling effect. The signal transmission module may also include a control unit for precisely controlling parameters such as the emission timing, frequency, and voltage of the characteristic signal to adapt to different detection requirements and environmental conditions. In addition, the coupling coil design can be optimized through simulation and experimental verification to improve signal coupling efficiency and detection accuracy.

[0076] The design of the coupling coil in this embodiment ensures that the characteristic signal can be effectively coupled to the target detection area, providing a stable and reliable signal source for leakage detection; the optimized coupling coil improves the spatial coupling efficiency of the signal, so that even weak leakage can be detected, thereby improving the detection sensitivity; the design of the coupling coil takes into account electromagnetic compatibility, reduces interference with other electronic equipment, and also improves the stability of the signal in complex electromagnetic environments.

[0077] Furthermore, in some embodiments, the signal receiving module includes a magnetic coil sensor for detecting the magnetic field generated by the characteristic signal at the fault line and converting the magnetic field into an electric field to obtain a corresponding electrical signal; wherein the magnetic coil sensor includes a ferrite rod, a rubber hose and an enameled wire.

[0078] Specifically, the signal receiving module in this embodiment includes a magnetic coil sensor, which is a sensor for detecting magnetic field changes caused by leakage current. Figure 4As shown, the magnetic coil sensor consists of a ferrite rod, a rubber hose, and enameled wire. This structural design optimizes the efficiency of magnetic field sensing and signal conversion quality. When the characteristic signal generates a magnetic field at the fault line, the magnetic coil sensor detects this magnetic field change and converts it into an electrical signal. This conversion process is based on Faraday's law of electromagnetic induction. The signal receiving module calculates the electrical signal corresponding to the magnetic field using a preset induced voltage algorithm formula. This formula takes into account multiple parameters such as the number of coil turns, the distance between the sensor and the wire, and the resistance of the fault line to ground. The magnetic coil sensor design is optimized to increase its sensitivity to weak magnetic field changes, which is crucial for accurately identifying leakage signals.

[0079] The magnetic coil sensor in this embodiment provides a highly sensitive magnetic field detection function, capable of accurately capturing tiny magnetic field changes caused by leakage current. The sensor accurately converts magnetic field changes into electrical signals, providing reliable input for subsequent signal processing. By precisely calculating the electrical signal corresponding to the magnetic field, false positives and false negatives in leakage current detection are reduced, thereby improving detection accuracy. The performance optimization of the sensor ensures stable operation under various environmental conditions, thereby improving detection reliability.

[0080] Furthermore, in some embodiments, the signal receiving module calculates the electrical signal corresponding to the magnetic field using a preset induced voltage algorithm formula; wherein the preset induced voltage algorithm formula is:

[0081]

[0082] Where V0 is the induced voltage of the magnetic core coil sensor, N is the number of coil turns, μ0 is the vacuum magnetic permeability, d is the distance between the magnetic core coil sensor and the wire, R is the resistance of the fault line to ground, and R i is the outer diameter of the rubber hose, L is the length of the ferrite core, R0 is the diameter of the ferrite core, and dV / dt is the rate of change of the characteristic signal injected by the leakage detection signal transmitting coupler over time.

[0083] Specifically, the signal receiving module in this embodiment uses a specific algorithm formula to calculate the electrical signal corresponding to the magnetic field, and converts the detected magnetic field strength into a quantifiable electrical signal (such as an induced voltage).

[0084] After the leakage detection signal is sent by the signal transmitting coupler, it is received and identified at the leakage point. The leakage detection signal transmitting coupler injects a characteristic signal into the substation, which generates a magnetic field around the fault line. If the voltage of the characteristic signal injected by the leakage detection signal transmitting coupler into the leakage fault line is V, the frequency is F, the fault line grounding resistance is R, and the current flowing through the fault line is I, then according to the Biot-Savart law, the magnetic induction intensity B at a distance d from the fault line can be obtained as:

[0085]

[0086] Where μ0 is the vacuum permeability, μ0=4π×10 -7 Tesla meter / ampere.

[0087] At the location where leakage occurs, the characteristic signal emitted by the leakage detection signal transmitting coupler can be received by the device of the present application. The signal reception principle is as follows: the signal receiver is composed of a magnetic core coil sensor, which can convert the magnetic field into an electric field to obtain an induced voltage.

[0088] The working principle of the magnetic core coil sensor is based on Faraday's law of electromagnetic induction:

[0089]

[0090] Where V0 is the induced voltage of the magnetic core coil sensor, is the magnetic flux in the coil:

[0091]

[0092] Where N is the number of turns in the coil, S is the cross-sectional area of ​​the coil, μ0 is the magnetic permeability of vacuum, and μ c is the relative permeability of the ferrite bar, and H is the magnetic field strength.

[0093] Due to the influence of the demagnetization coefficient, the relative magnetic permeability μ of the ferrite rod c The value is much lower than the initial permeability μ r , we can get:

[0094]

[0095] where N d is the demagnetization coefficient, μ r is the initial magnetic permeability, for cylindrical core, N d It can be calculated accurately by Stoner's formula;

[0096]

[0097] Where m = L / R0 is the aspect ratio of the core.

[0098] For cylindrical ferrite, the above formula can be simplified to:

[0099]

[0100] If the condition μ is satisfied r N d >>1, then the relative magnetic permeability of the ferrite core μ c ≈1 / N d So μ cIn fact, it is similar to μ r Regardless, the sensitivity of the core-coil sensor is mainly determined by the shape and size of the ferrite core.

[0101] The cross-sectional area of ​​the coil of the core coil sensor is S = πR i 2 / 4, so the induced voltage of the magnetic core coil sensor can be expressed as:

[0102]

[0103] Substitute Equation 1 into Equation 7.

[0104]

[0105] Where N is the number of coil turns, μ0 is the vacuum magnetic permeability, d is the distance between the core coil sensor and the wire, R is the resistance of the fault line to ground, R i is the outer diameter of the rubber hose, L is the length of the ferrite core, R0 is the diameter of the ferrite core, and dV / dt is the rate of change of the characteristic signal injected by the leakage detection signal transmitting coupler over time.

[0106] This embodiment significantly improves the accuracy of leakage detection by accurately calculating the electrical signal corresponding to the magnetic field; accurate electrical signal calculation provides reliable data for the signal processing module, thereby enhancing the ability to recognize characteristic signals; the optimized algorithm formula can adapt to different detection conditions, ensuring consistent detection results in various environments; accurate electrical signal calculation reduces false alarms and missed alarms caused by signal processing errors, thereby improving the reliability of the system; fast electrical signal calculation enables the signal processing module to respond to detected magnetic field changes in a timely manner, thereby improving the overall data processing efficiency; the algorithm formula takes into account multiple influencing factors, enabling the device to operate stably under different environmental conditions.

[0107] Furthermore, in some embodiments, the signal processing module may specifically include:

[0108] A differential amplification unit, used to perform differential amplification processing on the electrical signal output by the signal receiving module;

[0109] Specifically, the differential amplification unit performs differential amplification processing on the received weak electrical signal to enhance the amplitude of the signal while suppressing common-mode noise and improving the signal-to-noise ratio.

[0110] An integral restoration unit, used to perform integral restoration processing on the electrical signal after differential amplification processing to obtain a detection signal;

[0111] Specifically, the integral restoration unit performs integration processing on the differentially amplified signal to restore the waveform of the signal in preparation for subsequent in-phase amplification and data processing.

[0112] A common-phase amplification unit, used for performing common-phase amplification processing on the detection signal;

[0113] Specifically, for the in-phase amplification unit, the in-phase amplification unit further amplifies the signal after the integration restoration to ensure that the amplitude of the signal is sufficient for effective analog-to-digital conversion and digital signal processing.

[0114] A data processing unit is used to sample the detection signal after the in-phase amplification processing to obtain a corresponding digital signal, and then perform fast Fourier transform on the digital signal to obtain a corresponding spectrum;

[0115] Specifically, for the data processing unit, the data processing unit includes an analog-to-digital converter (ADC) to convert the analog signal into a digital signal, and then use a fast Fourier transform (FFT) algorithm to analyze the frequency spectrum characteristics of the signal.

[0116] A signal determination unit is configured to determine whether the detection signal is a characteristic signal injected by the signal transmission module based on a comparison between the frequency spectrum and a characteristic signal of a preset frequency and a preset voltage, and generate a signal recognition result;

[0117] Specifically, the signal determination unit compares the frequency spectrum information obtained based on FFT with the frequency and voltage of the preset characteristic signal to determine whether the detection signal is a leakage signal.

[0118] The differential amplification and integral restoration processing provided in this embodiment improves the sensitivity and accuracy of the signal, so that even weak leakage signals can be effectively identified; the design of the differential amplification unit helps to suppress noise, improve the clarity of the signal, and thus reduce false alarms; the in-phase amplification unit ensures that the signal has sufficient strength before analog-to-digital conversion, avoiding signal loss during the conversion process; the application of fast Fourier transform enables the signal processing module to quickly analyze the signal and make judgments, thereby improving the response speed of the system; user-defined settings provide flexibility, allowing the device to adapt to different detection environments and user needs; through precise FFT analysis and signal judgment logic, the reliability of leakage detection is improved and the possibility of missed alarms is reduced.

[0119] The signal recognition principle of the signal receiver is as follows: the induced voltage output by the magnetic core coil sensor will be differentially amplified by the differential proportional operation circuit, and the differentially amplified signal will be integrated and restored by the integrator circuit to obtain the characteristic signal injected by the leakage detection signal transmitting coupler. The restored characteristic signal will be amplified by the in-phase proportional operation circuit, and the ADC will collect the amplified signal. The MCU will perform FFT data processing on the collected data, and then determine whether the collected signal is the characteristic signal injected by the leakage detection signal transmitting coupler from the frequency. If it is the characteristic signal injected by the leakage detection signal transmitting coupler, the MCU will drive the buzzer to sound an alarm, indicating that the characteristic signal emitted by the leakage detection signal generator has been recognized.

[0120] In addition, if Figure 5 As shown, this embodiment also provides a signal processing module for low-voltage leakage detection, which is composed of a magnetic core coil sensor, a low-voltage leakage signal processing PCB, and a battery. The low-voltage leakage signal processing PCB is composed of a battery management circuit, a DC / DC, a differential proportional operation circuit, an integration circuit, an in-phase proportional operation circuit, an ADC, an MCU, a button, a buzzer, Bluetooth, and a flash memory. The main function of the low-voltage leakage signal processing PCB is to amplify the pulse differential signal output by the magnetic core coil sensor, integrate and restore the pulse signal, and amplify and restore the pulse signal. The MCU performs FFT processing on the data collected by the ADC, and then determines whether the signal output by the magnetic core coil sensor is the characteristic signal injected by the leakage detection signal transmitting coupler. If it is the characteristic signal injected by the leakage detection signal transmitting coupler, the MCU drives the buzzer to indicate that the signal measured by the magnetic core coil sensor is the characteristic signal injected by the leakage detection signal transmitting coupler.

[0121] It can be seen that this embodiment does not require live contact with the four phase lines A, B, C, and N of the transformer, nor does it require live contact with the low-voltage transmission line to achieve coupling and identification of the leakage detection signal. When in use, it is only necessary to inject the characteristic signal through the signal coupling transmitter at the ground wire of the transformer, and the signal receiver of the present invention can receive and identify it. Once the receiver receives or identifies the characteristic signal, the receiver will issue an alarm, which effectively improves the safety and flexibility of leakage detection.

[0122] To summarize, the signal identification device for leakage detection provided in this embodiment includes a signal transmitting module, a signal receiving module and a signal processing module; wherein the signal transmitting module is used to inject a characteristic signal with a preset frequency and a preset voltage into the target detection area; the signal receiving module is used to receive the magnetic field generated by the characteristic signal at the fault line in the target detection area in a non-electrical contact manner, and convert the magnetic field into a corresponding electrical signal; the signal processing module is used to perform signal processing on the electrical signal, and identify whether the detection signal obtained after the signal processing is the characteristic signal injected by the signal transmitting module, and generate a signal identification result. This embodiment provides a signal recognition device for low-voltage leakage detection. Through a non-contact detection method, it avoids direct contact with live equipment, greatly reduces the risk of electric shock, and improves the safety of detection work. Since no live contact is required, the detection equipment can be used in various locations, including hard-to-reach places, thereby improving the flexibility of detection. Through specific signal injection and characteristic signal recognition methods, it can more accurately detect and locate leakage points, reduce false alarms and missed alarms in leakage detection, improve the accuracy and efficiency of leakage detection, avoid energy loss and potential safety accidents caused by leakage, and realize automated and intelligent power safety management.

[0123] Each module in the signal recognition device for leakage detection can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0124] To facilitate better implementation of the signal recognition device for leakage detection in the embodiments of the present application, the embodiments of the present application also provide a signal recognition method for leakage detection. The meanings of the terms herein are the same as those in the aforementioned signal recognition device for leakage detection. For specific implementation details, please refer to the description in the device embodiment.

[0125] See also Figure 6 , Figure 6 This is a flow chart of a signal recognition method for leakage detection provided in an embodiment of the present application. This method can be executed in the above-mentioned signal recognition device for leakage detection. The specific steps of the signal recognition method for leakage detection are as follows:

[0126] S1. Inject a characteristic signal having a preset frequency and a preset voltage into the target detection area;

[0127] S2 receives the magnetic field generated by the fault line in the target detection area in a non-electrical contact manner and converts the magnetic field into a corresponding electrical signal;

[0128] S3. Perform signal processing on the electrical signal, identify whether the detection signal obtained after the signal processing is the injected characteristic signal, and generate a signal recognition result.

[0129] Specifically, it first involves injecting a characteristic signal with a preset frequency and preset voltage into the target detection area. This step is the basis of the entire leakage detection process. The magnetic field generated by the characteristic signal at the fault line in the target detection area is received in a non-electrical contact manner and converted into a corresponding electrical signal. This reception method improves safety and reduces interference with the power system. The received electrical signal will be processed by a signal processing module. The processing process includes steps such as differential amplification, integral reduction, in-phase amplification, analog-to-digital conversion, and fast Fourier transform (FFT) to extract the characteristics of the signal. The signal judgment unit will compare the spectrum obtained based on the FFT with the preset characteristic signal to determine whether the detection signal is consistent with the injected characteristic signal, thereby determining whether there is a leakage. Based on the results of the signal comparison, the method will generate a signal recognition result, clearly indicating whether a leakage is detected, providing a basis for subsequent alarms or other response measures.

[0130] In addition, the signal recognition method for leakage detection provided in this embodiment can adjust the signal processing parameters, such as the number of FFT points, amplification gain, etc., according to different detection environments and requirements; the entire signal recognition method can be executed automatically and can respond to the detected leakage in real time, providing effective technical support for the safe management of the power system.

[0131] It can be seen that the signal recognition method for leakage detection provided in this embodiment reduces the safety risks of workers during the detection process through non-contact detection; multi-step signal processing and characteristic signal recognition improve the accuracy of leakage detection and reduce false alarms and missed alarms; the automated signal recognition method can quickly respond to leakage conditions, providing the possibility of taking timely countermeasures; the parameters of the method are adjustable, so that it can adapt to different detection environments and user needs; accurate leakage detection reduces unnecessary maintenance and repair work, thereby reducing maintenance costs; through precise signal recognition, the reliability and stability of the power system are improved; the automated and real-time detection method simplifies user operations and provides a more convenient user experience; it promotes the development of smart grid technology and provides technical support for the intelligent management of power systems.

[0132] For the specific definition of the signal recognition method for leakage detection, please refer to the above definition of the signal recognition device for leakage detection, which will not be repeated here.

[0133] In addition, the present invention also provides an electronic device, such as Figure 7, which shows a schematic diagram of the structure of an electronic device involved in an embodiment of the present application. Specifically, the electronic device may include components such as a processor 301 with one or more processing cores, a memory 302 with one or more computer-readable storage media, a power supply 303, and an input unit 304. Those skilled in the art will understand that Figure 7 The electronic device structure shown in the figure does not constitute a limitation of the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange components differently.

[0134] The processor 301 is the control center of the electronic device. It connects all parts of the electronic device using various interfaces and lines. By running or executing software programs and / or modules stored in the memory 302 and accessing data stored in the memory 302, it performs various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. Optionally, the processor 301 may include one or more processing cores; preferably, the processor 301 may integrate an application processor and a modem processor, wherein the application processor primarily processes the operating system, user interface, and application programs, while the modem processor primarily handles wireless communications. It is understood that the modem processor may not be integrated into the processor 301.

[0135] The memory 302 can be used to store software programs and modules. The processor 301 executes various functional applications and a signal recognition method for leakage detection by running the software programs and modules stored in the memory 302. The memory 302 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 302 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage device. Accordingly, the memory 302 may also include a memory controller to provide the processor 301 with access to the memory 302.

[0136] The electronic device also includes a power supply 303 for supplying power to various components. Preferably, the power supply 303 can be logically connected to the processor 301 via a power management system, thereby enabling the power management system to manage charging, discharging, and power consumption. The power supply 303 can also include one or more DC or AC power supplies, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and other arbitrary components.

[0137] The electronic device may further include an input unit 304, which may be configured to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0138] Although not shown, the electronic device may further include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 301 in the electronic device will load the executable files corresponding to the processes of one or more application programs into the memory 302 according to the following instructions, and the processor 301 will run the application programs stored in the memory 302 to implement various functions as follows:

[0139] A characteristic signal with a preset frequency and a preset voltage is injected into the target detection area; the magnetic field generated by the characteristic signal at the fault line in the target detection area is received in a non-electrical contact manner, and the magnetic field is converted into a corresponding electrical signal; the electrical signal is processed, and it is identified whether the detection signal obtained after the signal processing is the injected characteristic signal, and a signal recognition result is generated.

[0140] The specific implementation of the above operations can be found in the previous embodiments and will not be repeated here.

[0141] The embodiments of the present application avoid direct contact with live equipment through a non-contact detection method, greatly reducing the risk of electric shock and improving the safety of detection work; since no live contact is required, the detection equipment can be used in various locations, including hard-to-reach places, thereby improving the flexibility of detection; through specific signal injection and characteristic signal recognition methods, leakage points can be more accurately detected and located, reducing false alarms and missed alarms in leakage detection, improving the accuracy and efficiency of leakage detection, avoiding energy loss and potential safety accidents caused by leakage, and realizing automated and intelligent power safety management.

[0142] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be accomplished by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0143] To this end, an embodiment of the present application provides a storage medium storing a plurality of instructions that can be loaded by a processor to execute the steps of any of the signal recognition methods for leakage detection provided in the embodiments of the present application. For example, the instructions can execute the following steps:

[0144] A characteristic signal with a preset frequency and a preset voltage is injected into the target detection area; the magnetic field generated by the characteristic signal at the fault line in the target detection area is received in a non-electrical contact manner, and the magnetic field is converted into a corresponding electrical signal; the electrical signal is processed, and it is identified whether the detection signal obtained after the signal processing is the injected characteristic signal, and a signal recognition result is generated.

[0145] The specific implementation of the above operations can be found in the previous embodiments and will not be repeated here.

[0146] The storage medium may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk. Since the instructions stored in the storage medium can execute the steps of any of the signal recognition methods for leakage detection provided in the embodiments of the present application, the beneficial effects achievable by any of the signal recognition methods for leakage detection provided in the embodiments of the present application can be achieved. For details, see the previous embodiments and will not be repeated here.

[0147] The above is a detailed introduction to a signal recognition device, method, electronic device and storage medium for leakage detection provided in the embodiments of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, based on the ideas of the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A signal recognition device for leakage detection, characterized in that: It includes a signal transmitting module, a signal receiving module and a signal processing module; The signal transmitting module is used to inject a characteristic signal with a preset frequency and a preset voltage into the target detection area; The signal receiving module is used to receive the magnetic field generated by the characteristic signal at the fault line in the target detection area in a non-electrical contact manner, and convert the magnetic field into a corresponding electrical signal; The signal processing module is used to perform signal processing on the electrical signal, and identify whether the detection signal obtained after the signal processing is the characteristic signal injected by the signal transmission module, and generate a signal identification result.

2. The signal recognition device for leakage detection according to claim 1, characterized in that: Also includes: An alarm module, used to generate alarm information when identifying that the detection signal obtained after signal processing is a characteristic signal, and to send a corresponding alarm signal based on the alarm information; A communication module is used to send the signal recognition result and the alarm information to a remote monitoring system.

3. The signal recognition device for leakage detection according to claim 2, characterized in that: The alarm module comprises: An audible alarm is used to issue an audible warning when a fault line is detected to be in a leakage state; Optical signal indicator, used to indicate that the fault line is in a leakage state through visual signals.

4. The signal recognition device for leakage detection according to claim 1, characterized in that: The signal transmitting module includes at least one coupling coil, and the coupling coil is used to couple the characteristic signal to a target detection area.

5. The signal recognition device for leakage detection according to claim 1, characterized in that: The signal receiving module includes a magnetic coil sensor for detecting the magnetic field generated by the characteristic signal at the fault line and converting the magnetic field into an electric field to obtain a corresponding electric signal; Wherein, the magnetic coil sensor comprises a ferrite magnetic rod, a rubber hose and an enameled wire.

6. The signal recognition device for leakage detection according to claim 5, characterized in that: The signal receiving module calculates the electrical signal corresponding to the magnetic field through a preset induced voltage algorithm formula; wherein the preset induced voltage algorithm formula is: Where V0 is the induced voltage of the magnetic core coil sensor, N is the number of coil turns, μ0 is the vacuum magnetic permeability, d is the distance between the magnetic core coil sensor and the wire, R is the resistance of the fault line to ground, and R i is the outer diameter of the rubber hose, L is the length of the ferrite core, R0 is the diameter of the ferrite core, and dV / dt is the rate of change of the characteristic signal injected by the leakage detection signal transmitting coupler over time.

7. The signal recognition device for leakage detection according to claim 1, characterized in that: The signal processing module comprises: A differential amplification unit, used for performing differential amplification processing on the electrical signal output by the signal receiving module; An integral restoration unit, used for performing integral restoration processing on the electrical signal after differential amplification processing to obtain a detection signal; A common-phase amplification unit, used for performing common-phase amplification processing on the detection signal; A data processing unit, used for sampling the detection signal after the in-phase amplification processing, obtaining a corresponding digital signal, and then performing a fast Fourier transform on the digital signal to obtain a corresponding spectrum; The signal judgment unit is used to compare the frequency spectrum with the characteristic signal of the preset frequency and the preset voltage to judge whether the detection signal is the characteristic signal injected by the signal transmission module and generate a signal recognition result.

8. A signal recognition method for leakage detection, characterized in that: The steps include: Injecting a characteristic signal having a preset frequency and a preset voltage into a target detection area; Receiving the magnetic field generated by the characteristic signal at the fault line in the target detection area in a non-electrical contact manner, and converting the magnetic field into a corresponding electrical signal; The electrical signal is processed, and it is identified whether the detection signal obtained after the signal processing is the injected characteristic signal, and a signal identification result is generated.

9. An electronic device, characterized in that: include: A memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor performs the steps of the signal recognition method for leakage detection as claimed in claim 8 when executing the program.

10. A storage medium, characterized in that: A computer program is stored which can be loaded by a processor and executes the signal recognition method for leakage detection as claimed in claim 8.

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