A method and apparatus for monitoring cable insulation damage based on distributed magnetic sensors
By injecting signals into the cable and using a distributed magnetic sensor array to acquire reflected and refracted wave signals, the problem of difficult monitoring of cable insulation damage is solved, realizing online fine monitoring and improving the accuracy and reliability of detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HOHHOT POWER SUPPLY BUREAU OF INNER MONGOLIA POWER GRP CO LTD
- Filing Date
- 2025-03-31
- Publication Date
- 2026-06-26
Smart Images
Figure CN120121950B_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to the field of cable testing engineering technology, and in particular to a method and device for monitoring cable insulation damage based on a distributed magnetic sensor. Background Technology
[0002] With rapid urbanization, the demand for urban power supply has exploded. Power cables, possessing excellent electrical and mechanical properties and saving land use, are widely used in urban power grids. However, the operating environment of cables is often dark and damp, making them susceptible to mechanical damage and even destruction, leading to insulation damage. If not detected in time, this can result in serious consequences such as partial discharge and cable insulation failure. Summary of the Invention
[0003] This disclosure aims to at least partially address one of the technical problems in the related art.
[0004] Therefore, the first objective of this disclosure is to propose a cable insulation damage monitoring method based on distributed magnetic sensors to achieve online and precise monitoring of cable insulation damage.
[0005] The second objective of this disclosure is to propose a cable insulation damage monitoring device based on a distributed magnetic sensor.
[0006] The third objective of this disclosure is to propose an electronic device.
[0007] The fourth objective of this disclosure is to provide a computer-readable storage medium.
[0008] The fifth objective of this disclosure is to provide a computer program product.
[0009] To achieve the above objectives, the first aspect of this disclosure proposes a method for monitoring cable insulation damage based on a distributed magnetic sensor, comprising:
[0010] Inject cable insulation damage detection signals into the cable under test;
[0011] A distributed magnetic sensor array installed on the cable under test is used to collect the reflected wave signal array and the refracted wave signal array corresponding to the cable insulation damage detection signal.
[0012] Based on the reflected wave signal group and the refracted wave signal group, the defect damage coefficient and defect location coefficient are deduced to obtain the cable insulation damage monitoring results of the cable under test.
[0013] Optionally, before acquiring the reflected wave signal group and refracted wave signal group corresponding to the cable insulation damage detection signal using a distributed magnetic sensor group disposed on the cable under test, the method further includes:
[0014] Determine the operating status of each magnetic sensor in the distributed magnetic sensor group;
[0015] If any magnetic sensor in the distributed magnetic sensor group is in a saturated state, the frequency response of that magnetic sensor is corrected until the operating state of each magnetic sensor in the distributed magnetic sensor group is unsaturated.
[0016] Optionally, the correction of the frequency response of any of the magnetic sensors includes:
[0017] The low-frequency attenuation coefficient and high-frequency gain coefficient of any of the magnetic sensors are adjusted.
[0018] Optionally, before injecting the cable insulation damage detection signal into the cable under test, the method further includes:
[0019] An initial cable insulation damage detection signal is acquired, and the initial cable insulation damage detection signal is modulated to obtain a cable insulation damage detection signal that meets the requirements for cable insulation damage monitoring.
[0020] Optionally, the step of using a distributed magnetic sensor array disposed on the cable under test to collect the reflected wave signal array and the refracted wave signal array corresponding to the cable insulation damage detection signal includes:
[0021] Determine the correlation between voltage and current at any location in the cable under test;
[0022] Using the cable head end of the cable under test as the coordinate origin and signal injection point, the position coordinates of each magnetic sensor in the distributed magnetic sensor group set on the cable under test are marked sequentially along the line to obtain the magnetic sensor position coordinate group.
[0023] The system receives the initial reflected wave signal and the initial refracted wave signal collected by each magnetic sensor, and performs signal preprocessing on the initial reflected wave signal and the initial refracted wave signal according to the magnetic sensor position coordinate group and the correlation relationship to obtain the preprocessed reflected wave signal and the preprocessed refracted wave signal, so as to obtain the reflected wave signal group and the refracted wave signal group. The cable insulation damage detection signal is proportional to the signal amplitude between the reflected wave signal group and the refracted wave signal group.
[0024] Optionally, determining the correlation between voltage and current at any location in the cable under test includes:
[0025] Determine the resistance, inductance, capacitance, and conductance per unit length of the cable under test;
[0026] Based on the resistance, inductance, capacitance, and conductance, the phasor equations of voltage and current at any location in the cable under test are determined, and the correlation between voltage and current at any location in the cable under test is obtained.
[0027] Optionally, the step of resolving the defect damage coefficient and defect location coefficient based on the reflected wave signal group and the refracted wave signal group includes:
[0028] Based on the reflected wave signal group and the refracted wave signal group, determine the reflected voltage phasor, reflected current phasor, refracted voltage phasor, refracted current phasor, and defect location coefficient at the defect location in the cable under test;
[0029] Based on the traveling wave reflection relationship, the defect damage coefficient is determined according to the reflected voltage phasor, the reflected current phasor, the refracted voltage phasor, and the refracted current phasor.
[0030] To achieve the above objectives, a second aspect of this disclosure provides a cable insulation damage monitoring device based on a distributed magnetic sensor, comprising:
[0031] The signal injection module is used to inject cable insulation damage detection signals into the cable under test.
[0032] The magnetic field information acquisition module is used to acquire the reflected wave signal group and the refracted wave signal group corresponding to the cable insulation damage detection signal by using a distributed magnetic sensor group set on the cable under test.
[0033] The main control module is used to obtain the cable insulation damage monitoring results of the cable under test by reversing the defect damage coefficient and defect location coefficient based on the reflected wave signal group and the refracted wave signal group.
[0034] Optionally, the signal injection module includes a coupling magnetic ring, an excitation coil, an integrating resistor, and an excitation source; wherein,
[0035] The excitation source is used to provide the cable insulation damage detection signal;
[0036] The integrating resistor is connected in parallel with the excitation coil and the excitation source to adjust the amplitude and phase of the cable insulation damage detection signal;
[0037] The excitation coil is tightly wound on the coupling magnetic ring and passes through the cable under test, so as to couple the cable insulation damage detection signal into the cable under test.
[0038] Optionally, the magnetic sensors in the distributed magnetic sensor group are distributed at preset distances along the cable routing of the cable under test, and the distance between each magnetic sensor and the cable core of the cable under test is the same.
[0039] To achieve the above objectives, a third aspect of this disclosure provides an electronic device comprising:
[0040] Memory, used to store executable program code;
[0041] A processor for calling and running the executable program code from the memory, causing the electronic device to perform the method shown in any of the first aspects above.
[0042] To achieve the above objectives, a fourth aspect of this disclosure provides a computer-readable storage medium storing a computer program that, when executed, implements the method shown in any of the first aspects above.
[0043] To achieve the above objectives, a fifth aspect of this disclosure provides a computer program product including a computer program that, when executed by a processor, implements the method shown in any of the first aspects above.
[0044] In summary, the cable insulation damage monitoring method and device based on distributed magnetic sensors provided in this disclosure injects a cable insulation damage detection signal into the cable under test and uses a distributed magnetic sensor group installed on the cable under test to acquire reflected wave signal groups and refracted wave signal groups. Based on the reflected wave signal groups and refracted wave signal groups, the defect damage coefficient and defect location coefficient are deduced to obtain the cable insulation damage monitoring results of the cable under test. Therefore, online fine monitoring of cable insulation damage can be achieved in a non-invasive, distributed manner.
[0045] Additional aspects and advantages of this disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this disclosure. Attached Figure Description
[0046] The above and / or additional aspects and advantages of this disclosure will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, in which:
[0047] Figure 1 This is a schematic flowchart of a cable insulation damage monitoring method based on a distributed magnetic sensor provided in an embodiment of this disclosure.
[0048] Figure 2 This is a schematic diagram of the structure of a cable insulation damage monitoring device based on a distributed magnetic sensor, provided in one embodiment of this disclosure.
[0049] Figure 3 A schematic diagram of a cable insulation damage monitoring device based on a distributed magnetic sensor, provided for another embodiment of this disclosure;
[0050] Figure 4 This is a schematic diagram of a cable insulation damage monitoring device based on a distributed magnetic sensor, which is another embodiment of this disclosure. Detailed Implementation
[0051] Embodiments of this disclosure are described in detail below. Examples of these embodiments are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this disclosure, and should not be construed as limiting this disclosure.
[0052] It should be noted that existing methods for detecting cable insulation damage mainly include traveling wave method, impedance method, and fault analysis method. The traveling wave method locates insulation damage by detecting the traveling wave front, but the wave attenuates severely during propagation and it is difficult to distinguish the wave front. The impedance method uses a simplified lumped parameter model of the cable to analyze cable insulation damage, but it does not consider the actual distributed capacitance effect. The fault analysis method obtains fault point information by analyzing the instantaneous voltage and current relationship of the fault, but it relies heavily on accurate cable distributed parameter modeling and sampling data. Furthermore, none of these methods can be combined with intelligent sensing technology to achieve online monitoring.
[0053] The present disclosure will now be described in detail with reference to specific embodiments.
[0054] In the first embodiment, such as Figure 1 As shown, Figure 1 This is a flowchart illustrating a cable insulation damage monitoring method based on a distributed magnetic sensor, provided in an embodiment of this disclosure. The method can be implemented using a computer program and can run on a device for monitoring cable insulation damage based on a distributed magnetic sensor. This computer program can be integrated into an application or run as a standalone utility application.
[0055] The cable insulation damage monitoring method based on distributed magnetic sensors can be executed by electronic equipment.
[0056] For example, this cable insulation damage monitoring method based on distributed magnetic sensors includes the following steps:
[0057] S101, Inject a cable insulation damage detection signal into the cable under test;
[0058] The cable to be tested refers to the cable whose insulation damage needs to be monitored.
[0059] Among them, the cable insulation damage detection signal refers to the electrical detection signal used to detect cable insulation damage.
[0060] S102, using a distributed magnetic sensor group set on the cable under test to collect the reflected wave signal group and the refracted wave signal group corresponding to the cable insulation damage detection signal;
[0061] According to some embodiments, the distributed magnetic sensor group includes at least one magnetic sensor for converting electrical detection signals in the cable under test into magnetic detection signals.
[0062] The magnetic detection signal includes reflected wave signals and refracted wave signals generated by the magnetic sensor based on the insulation damage defects of the cable under test; that is, the magnetic sensor corresponds one-to-one with the reflected wave signals in the reflected wave signal group and the refracted wave signals in the refracted wave signal group.
[0063] In some embodiments, the magnetic sensor may be, for example, a magnetoresistive (xMR) sensor, which includes, but is not limited to, tunnel magnetoresistive (TMR) sensors, giant magnetoresistive (GMR) sensors, etc.
[0064] S103. Based on the reflected wave signal group and the refracted wave signal group, the defect damage coefficient and defect location coefficient are deduced to obtain the cable insulation damage monitoring results of the cable under test.
[0065] Among them, the defect location coefficient is used to locate insulation defects in the cable under test.
[0066] The defect damage coefficient is used to indicate the degree of defect damage at the location corresponding to the defect location coefficient.
[0067] In summary, the method provided in this embodiment injects a cable insulation damage detection signal into the cable under test and uses a distributed magnetic sensor group set on the cable under test to acquire a reflected wave signal group and a refracted wave signal group. Based on the reflected wave signal group and the refracted wave signal group, the defect damage coefficient and the defect location coefficient are deduced to obtain the cable insulation damage monitoring result of the cable under test. Therefore, online fine monitoring of cable insulation damage can be achieved in a non-invasive, distributed manner.
[0068] Another embodiment of this disclosure provides a method for monitoring cable insulation damage based on a distributed magnetic sensor. This method can be performed by an electronic device.
[0069] For example, the cable insulation damage monitoring method based on distributed magnetic sensors may include the following steps:
[0070] S201, acquire the initial cable insulation damage detection signal, and modulate the initial cable insulation damage detection signal to obtain a cable insulation damage detection signal that meets the requirements for cable insulation damage monitoring, and inject the cable insulation damage detection signal into the cable under test;
[0071] According to some embodiments, various time-domain and frequency-domain modulation methods such as amplitude shift keying and frequency shift keying can be used to modulate the initial cable insulation damage detection signal.
[0072] In some embodiments, the cable insulation damage monitoring requirement may be, for example, that the detection accuracy reaches a preset accuracy threshold.
[0073] For example, the cable insulation damage detection signal that meets the requirements for cable insulation damage monitoring can be a chirp signal, also known as a frequency-modulated continuous wave signal. This is a signal whose frequency changes continuously over time; its frequency increases linearly or non-linearly from an initial value to a final value, or vice versa. Chirp signals are widely used in many fields such as radar, sonar, and wireless communication, and have good range resolution, making them suitable for precise measurement and target detection.
[0074] It should be noted that by modulating the initial cable insulation damage detection signal, a modulated cable insulation damage detection signal that meets the requirements for cable insulation damage monitoring is injected into the cable under test. Therefore, the accuracy of cable insulation damage monitoring can be improved.
[0075] S202, determine the operating state of each magnetic sensor in the distributed magnetic sensor group, and when the operating state of any magnetic sensor in the distributed magnetic sensor group is saturated, correct the frequency response of any magnetic sensor until the operating state of each magnetic sensor in the distributed magnetic sensor group is unsaturated.
[0076] According to some embodiments, saturation refers to a state in which the magnetic flux passing through the magnetic material in the magnetic sensor cannot be increased indefinitely due to the limitations of its physical structure, and thus remains at a certain level.
[0077] In some embodiments, when the magnetic sensor is in a saturated state, the reliability of the collected reflected and refracted wave signals is low. In this case, the saturation of the magnetic sensor can be avoided by correcting the frequency response of the magnetic sensor.
[0078] In some embodiments, when the magnetic sensor is near the cable under test, the frequency response of the magnetic sensor can be corrected by adjusting its low-frequency attenuation coefficient and high-frequency gain coefficient. For example, lead correction, lag correction, or other methods can be used to adjust the low-frequency attenuation coefficient of the magnetic sensor to less than 300Hz and modulate the high-frequency gain coefficient of the magnetic sensor to greater than 1MHz to avoid magnetic sensor saturation.
[0079] It should be noted that by using frequency compensation to avoid magnetic circuit saturation, the reflected and refracted signals of the injected cable insulation damage detection signal can be accurately detected, thereby improving the reliability of the collected reflected and refracted wave signals.
[0080] S203, determine the correlation between voltage and current at any location in the cable under test;
[0081] According to some embodiments, the resistance R, inductance L, capacitance C, and conductance G per unit length of cable in the cable under test can be determined; based on the resistance R, inductance L, capacitance C, and conductance G, the phasor equations of voltage and current i(x,t) at any position in the cable under test can be determined, thereby obtaining the correlation between voltage and current at any position in the cable under test.
[0082] In some embodiments, the phasor equations for voltage u(x,t) and current i(x,t) can be expressed as follows:
[0083]
[0084] Where j represents the imaginary part; ω represents the angular velocity; Let i(x,t) represent the current at position x in the cable under test; Let u(x,t) represent the voltage at position x in the cable under test; t represents time.
[0085] S204, taking the cable end of the cable under test as the origin of the coordinate system and the signal injection point, mark the position coordinates of each magnetic sensor in the distributed magnetic sensor group set on the cable under test along the line to obtain the magnetic sensor position coordinate group;
[0086] According to some embodiments, the magnetic sensors in the distributed magnetic sensor group can be distributed at preset distances along the cable routing of the cable under test, and the distance between each magnetic sensor and the cable core of the cable under test is the same.
[0087] The preset distance and the distance between the magnetic sensor and the cable core of the cable under test can be adjusted according to the actual application scenario.
[0088] In some embodiments, the obtained magnetic sensor position coordinate set x1…x NThis allows for the location of insulation damage.
[0089] S205 receives the initial reflected wave signal and initial refracted wave signal collected by each magnetic sensor, and performs signal preprocessing on the initial reflected wave signal and initial refracted wave signal according to the magnetic sensor position coordinate group and correlation relationship to obtain the preprocessed reflected wave signal and preprocessed refracted wave signal, so as to obtain the reflected wave signal group and the refracted wave signal group.
[0090] According to some embodiments, the cable insulation damage detection signal is proportional to the signal amplitude between the reflected wave signal group and the refracted wave signal group.
[0091] In some embodiments, the preprocessed reflected wave signal and the preprocessed refracted wave signal can be determined according to the following formula:
[0092]
[0093] in, This represents the k-th position coordinate x in the magnetic sensor position coordinate set. k The preprocessed reflected wave signal at the location; This represents the k-th position coordinate x in the magnetic sensor position coordinate set. k The preprocessed refracted wave signal at the location; A represents the magnetic sensor conversion constant; Indicates the cable propagation coefficient; Indicates the cable surge impedance; x0 represents the coordinates of the location where cable insulation damage exists. This represents the reflected voltage phasor at x0; This represents the reflected current phasor at x0; This represents the refracted voltage phasor at x0; This represents the refracted current phasor at x0.
[0094] S206. Based on the reflected wave signal group and the refracted wave signal group, determine the reflected voltage phasor, reflected current phasor, refracted voltage phasor, refracted current phasor, and defect location coefficient at the defect location in the cable under test.
[0095] According to some embodiments, this can be achieved by combining the reflected wave signal group and in the refracted wave signal group The corresponding multiple formulas are solved to obtain And x0.
[0096] In some embodiments, the obtained x0 can be used as the defect location coefficient.
[0097] S207, based on the traveling wave reflection relationship, determines the defect damage coefficient according to the reflected voltage phasor, reflected current phasor, refracted voltage phasor, and refracted current phasor.
[0098] According to some embodiments, the wavy reflection relationship can be expressed by the following formula:
[0099]
[0100] Where m represents the defect damage coefficient.
[0101] In some embodiments, the defect damage coefficient and defect location coefficient can be obtained by applying various denoising methods such as wavelet transform and various circuit distributed parameter models to analyze the reflected wave signal group and the refracted wave signal group.
[0102] S208. Based on the defect location coefficient and the defect damage coefficient, determine the cable insulation damage monitoring results of the cable under test.
[0103] It should be noted that when three artificial defects with different degrees of cable damage were detected in three 10m long cables, magnetic sensor signals from different locations were used. The distances between the defect locations obtained by inverse solving and the actual defect locations were all less than 0.5m. The defect damage coefficients were 1.245, 1.315 and 1.426, respectively, which correspond to the degree of artificial defect damage and have good distinguishability.
[0104] To achieve the above embodiments, this disclosure also proposes a cable insulation damage monitoring device based on a distributed magnetic sensor.
[0105] For example, Figure 2 This is a schematic diagram of a cable insulation damage monitoring device based on a distributed magnetic sensor, provided as an embodiment of this disclosure. Figure 2 As shown, the cable insulation damage monitoring device 200 based on distributed magnetic sensors includes:
[0106] Signal injection module 210 is used to inject cable insulation damage detection signals into the cable under test;
[0107] The magnetic field information acquisition module 220 is used to acquire the reflected wave signal group and the refracted wave signal group corresponding to the cable insulation damage detection signal by using a distributed magnetic sensor group set on the cable under test.
[0108] The main control module 230 is used to obtain the cable insulation damage monitoring results of the cable under test by inversely solving the defect damage coefficient and defect location coefficient based on the reflected wave signal group and the refracted wave signal group.
[0109] It should be noted that the cable insulation damage monitoring device 200 based on distributed magnetic sensors can be installed with the cable and connected to the network, thereby achieving online and precise monitoring of cable insulation defects in a non-invasive manner.
[0110] Optionally, Figure 3 This is a schematic diagram of a cable insulation damage monitoring device based on a distributed magnetic sensor, provided as another embodiment of this disclosure. Figure 3 As shown, the signal injection module 210 includes a coupling magnetic ring, an excitation coil, an integrating resistor, and an excitation source; wherein,
[0111] Excitation source, used to provide signals for cable insulation damage detection;
[0112] The integrating resistor is connected in parallel with the excitation coil and the excitation source to adjust the amplitude and phase of the cable insulation damage detection signal;
[0113] An excitation coil is tightly wound on a coupling magnetic ring and passes through the cable under test to couple the cable insulation damage detection signal into the cable under test.
[0114] According to some embodiments, adjusting the amplitude and phase of the cable insulation damage detection signal by integrating the resistor can reduce system losses and enhance stability.
[0115] Optionally, before injecting the cable insulation damage detection signal into the cable under test, the excitation source is also used for:
[0116] The initial cable insulation damage detection signal is acquired, and the initial cable insulation damage detection signal is modulated to obtain a cable insulation damage detection signal that meets the requirements for cable insulation damage monitoring.
[0117] Optionally, such as Figure 3 As shown, the magnetic field information acquisition module 220 includes a frequency response compensation module. Before acquiring the reflected wave signal group and refracted wave signal group corresponding to the cable insulation damage detection signal using the distributed magnetic sensor group set on the cable under test, the frequency response compensation module is used for:
[0118] Determine the operating status of each magnetic sensor in the distributed magnetic sensor group;
[0119] When any magnetic sensor in the distributed magnetic sensor group is in a saturated state, the frequency response of any magnetic sensor is corrected until the operating state of each magnetic sensor in the distributed magnetic sensor group is unsaturated.
[0120] Optionally, when the frequency response compensation module is used to correct the frequency response of any magnetic sensor, it is specifically used for:
[0121] Adjust the low-frequency attenuation coefficient and high-frequency gain coefficient of any magnetic sensor.
[0122] Optionally, the magnetic sensors in the distributed magnetic sensor group are distributed at preset distances along the cable routing of the cable under test, and the distance between each magnetic sensor and the cable core of the cable under test is the same.
[0123] To give an example from a scenario, Figure 4 This is a schematic diagram of a cable insulation damage monitoring device based on a distributed magnetic sensor, provided as another embodiment of this disclosure. Figure 4 As shown, magnetic sensor 1, magnetic sensor 2 and magnetic sensor 3 are evenly distributed on the cable under test and connected to the main control module.
[0124] Optionally, such as Figure 3 As shown, the main control module 230 includes a main control chip and a calculation and analysis module. The main control chip is used to collect reflected wave signal groups and refracted wave signal groups corresponding to the cable insulation damage detection signal using a distributed magnetic sensor group installed on the cable under test. Specifically, it is used for:
[0125] Determine the correlation between voltage and current at any location in the cable under test;
[0126] Using the cable end of the cable under test as the origin and signal injection point, the position coordinates of each magnetic sensor in the distributed magnetic sensor group set on the cable under test are marked sequentially along the line to obtain the magnetic sensor position coordinate group.
[0127] The system receives the initial reflected wave signal and the initial refracted wave signal collected by each magnetic sensor, and performs signal preprocessing on the initial reflected wave signal and the initial refracted wave signal according to the magnetic sensor position coordinate group and the correlation relationship, so as to obtain the preprocessed reflected wave signal and the preprocessed refracted wave signal, and thus obtain the reflected wave signal group and the refracted wave signal group. The cable insulation damage detection signal is proportional to the signal amplitude between the reflected wave signal group and the refracted wave signal group.
[0128] According to some embodiments, the main control chip includes, but is not limited to, information processing chips such as microcontroller units (MCUs), microprocessors (MPUs), and field-programmable gate arrays (FPGAs).
[0129] In some embodiments, the main control chip, as the core of the main control module, can be connected to all magnetic sensors, perform signal preprocessing on the signals collected by the magnetic sensors, obtain reflected wave signal groups and refracted wave signal groups, and transmit them to the calculation and analysis module.
[0130] Optionally, when the main control chip is used to determine the correlation between voltage and current at any location in the cable under test, it is specifically used for:
[0131] Determine the resistance, inductance, capacitance, and conductance per unit length of the cable under test;
[0132] Based on resistance, inductance, capacitance, and conductance, the phasor equations of voltage and current at any location in the cable under test are determined, and the correlation between voltage and current at any location in the cable under test is obtained.
[0133] Optionally, the calculation and analysis module is used to solve for the defect damage coefficient and defect location coefficient based on the reflected wave signal group and the refracted wave signal group, specifically for:
[0134] Based on the reflected wave signal group and the refracted wave signal group, determine the reflected voltage phasor, reflected current phasor, refracted voltage phasor, refracted current phasor, and defect location coefficient at the defect location in the cable under test;
[0135] Based on the traveling wave reflection relationship, the defect damage coefficient is determined according to the reflected voltage phasor, reflected current phasor, refracted voltage phasor, and refracted current phasor.
[0136] It should be noted that the foregoing explanation of the embodiment of the cable insulation damage monitoring method based on distributed magnetic sensors also applies to the cable insulation damage monitoring device based on distributed magnetic sensors in this embodiment, and will not be repeated here.
[0137] In summary, the apparatus provided in this embodiment injects a cable insulation damage detection signal into the cable under test and uses a distributed magnetic sensor group installed on the cable under test to acquire a reflected wave signal group and a refracted wave signal group. Based on the reflected wave signal group and the refracted wave signal group, the defect damage coefficient and the defect location coefficient are deduced to obtain the cable insulation damage monitoring result of the cable under test. Therefore, online fine monitoring of cable insulation damage can be achieved in a non-invasive, distributed manner.
[0138] To implement the above embodiments, this disclosure also proposes an electronic device, including: a processor and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided in the foregoing embodiments.
[0139] To implement the above embodiments, this disclosure also proposes a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the methods provided in the foregoing embodiments.
[0140] To implement the above embodiments, this disclosure also proposes a computer program product, including a computer program that, when executed by a processor, implements the methods provided in the foregoing embodiments.
[0141] The collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved in this disclosure all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.
[0142] It should be noted that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. Furthermore, such collection / sharing should only be conducted after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes authorization of relevant user information before the user uses the function. In addition, any necessary steps must be taken to protect and safeguard access to such personal information data and ensure that others with access to personal information data comply with their privacy policies and procedures.
[0143] This disclosure is intended to provide implementation schemes for users to selectively prevent the use or access to their personal information data. Specifically, this disclosure is intended to provide hardware and / or software to prevent or block access to such personal information data. Once personal information data is no longer needed, risks can be minimized by restricting data collection and deleting data. Furthermore, where applicable, such personal information is de-identified to protect user privacy.
[0144] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this disclosure. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.
[0145] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this disclosure, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.
[0146] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of preferred embodiments of this disclosure includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of this disclosure pertain.
[0147] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disks (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) or flash memory, fiber optic devices, and compact disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.
[0148] It should be understood that various parts of this disclosure can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.
[0149] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium. When executed, the program includes one or a combination of the steps of the method embodiments.
[0150] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
[0151] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present disclosure.
Claims
1. A method for monitoring cable insulation damage based on distributed magnetic sensors, characterized in that, include: Inject cable insulation damage detection signals into the cable under test; A distributed magnetic sensor array installed on the cable under test is used to collect the reflected wave signal array and the refracted wave signal array corresponding to the cable insulation damage detection signal. Based on the reflected wave signal group and the refracted wave signal group, the defect damage coefficient and defect location coefficient are deduced to obtain the cable insulation damage monitoring results of the cable under test; The step of reversing the defect damage coefficient and defect location coefficient based on the reflected wave signal group and the refracted wave signal group includes: Based on the reflected wave signal group and the refracted wave signal group, determine the reflected voltage phasor, reflected current phasor, refracted voltage phasor, refracted current phasor, and defect location coefficient at the defect location in the cable under test; Based on the traveling wave reflection relationship, the defect damage coefficient is determined according to the reflected voltage phasor, the reflected current phasor, the refracted voltage phasor, and the refracted current phasor.
2. The method according to claim 1, characterized in that, Before acquiring the reflected wave signal group and refracted wave signal group corresponding to the cable insulation damage detection signal using the distributed magnetic sensor group installed on the cable under test, the method further includes: Determine the operating status of each magnetic sensor in the distributed magnetic sensor group; If any magnetic sensor in the distributed magnetic sensor group is in a saturated state, the frequency response of that magnetic sensor is corrected until the operating state of each magnetic sensor in the distributed magnetic sensor group is unsaturated.
3. The method according to claim 2, characterized in that, The correction of the frequency response of any of the magnetic sensors includes: The low-frequency attenuation coefficient and high-frequency gain coefficient of any of the magnetic sensors are adjusted.
4. The method according to claim 1, characterized in that, Before injecting the cable insulation damage detection signal into the cable under test, the method further includes: An initial cable insulation damage detection signal is acquired, and the initial cable insulation damage detection signal is modulated to obtain a cable insulation damage detection signal that meets the requirements for cable insulation damage monitoring.
5. The method according to claim 1, characterized in that, The method of acquiring reflected wave signal groups and refracted wave signal groups corresponding to the cable insulation damage detection signal using a distributed magnetic sensor group installed on the cable under test includes: Determine the correlation between voltage and current at any location in the cable under test; Using the cable head end of the cable under test as the coordinate origin and signal injection point, the position coordinates of each magnetic sensor in the distributed magnetic sensor group set on the cable under test are marked sequentially along the line to obtain the magnetic sensor position coordinate group. The system receives the initial reflected wave signal and the initial refracted wave signal collected by each magnetic sensor, and performs signal preprocessing on the initial reflected wave signal and the initial refracted wave signal according to the magnetic sensor position coordinate group and the correlation relationship to obtain the preprocessed reflected wave signal and the preprocessed refracted wave signal, so as to obtain the reflected wave signal group and the refracted wave signal group. The cable insulation damage detection signal is proportional to the signal amplitude between the reflected wave signal group and the refracted wave signal group.
6. The method according to claim 5, characterized in that, Determining the correlation between voltage and current at any location in the cable under test includes: Determine the resistance, inductance, capacitance, and conductance per unit length of the cable under test; Based on the resistance, inductance, capacitance, and conductance, the phasor equations of voltage and current at any location in the cable under test are determined, and the correlation between voltage and current at any location in the cable under test is obtained.
7. A cable insulation damage monitoring device based on a distributed magnetic sensor, characterized in that, include: The signal injection module is used to inject cable insulation damage detection signals into the cable under test. The magnetic field information acquisition module is used to acquire the reflected wave signal group and the refracted wave signal group corresponding to the cable insulation damage detection signal by using a distributed magnetic sensor group set on the cable under test. The main control module is used to inversely solve the defect damage coefficient and defect location coefficient of the cable under test based on the reflected wave signal group and the refracted wave signal group to obtain the cable insulation damage monitoring results of the cable under test; The main control module is also used to determine the reflected voltage phasor, reflected current phasor, refracted voltage phasor, refracted current phasor, and defect location coefficient at the defect location in the cable under test based on the reflected wave signal group and the refracted wave signal group. Based on the traveling wave reflection relationship, the defect damage coefficient is determined according to the reflected voltage phasor, the reflected current phasor, the refracted voltage phasor, and the refracted current phasor.
8. The apparatus according to claim 7, characterized in that, The signal injection module includes a coupling magnetic ring, an excitation coil, an integrating resistor, and an excitation source; wherein... The excitation source is used to provide the cable insulation damage detection signal; The integrating resistor is connected in parallel with the excitation coil and the excitation source to adjust the amplitude and phase of the cable insulation damage detection signal; The excitation coil is tightly wound on the coupling magnetic ring and passes through the cable under test, so as to couple the cable insulation damage detection signal into the cable under test.
9. The apparatus according to claim 7, characterized in that, The magnetic sensors in the distributed magnetic sensor group are arranged at preset intervals along the cable routing of the cable under test, and the distance between each magnetic sensor and the cable core of the cable under test is the same.