Magnetically controlled reactor defect identification method, system, equipment, medium and product
By analyzing the spectrum of the magnetically controlled current, faults in the magnetic valve were detected, thus improving the accuracy and efficiency of fault detection in the magnetically controlled reactor.
Patent Information
- Application Number
- CN202511229814.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-29
- Publication Date
- 2025-11-28
AI Technical Summary
The existing technology for detecting defects in magnetically controlled reactors has low efficiency and poor accuracy, resulting in poor operational reliability. This is mainly due to the technical problems of existing detection methods.
By acquiring the excitation winding current and temperature data at the joint between the magnetic valve section and the core laminations of the tested magnetically controlled reactor after applying sinusoidal current excitation, and analyzing the excitation winding current spectrum, faults can be detected.
This improved the efficiency of fault detection for magnetically controlled reactors and enhanced the accuracy of magnetic valve detection.
Smart Images
Figure CN121027666A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of reactor technology, and in particular to a method, system, device, medium and product for identifying defects in magnetically controlled reactors. Background Technology
[0002] With the large-scale grid connection of renewable energy and nonlinear load equipment, power systems face multiple challenges such as harmonic interference, reactive power fluctuations, and grounding faults, which have significantly affected the stability of power grid operation. To cope with dynamic power flow changes and improve power quality, ultra-high voltage, long-distance, and large-capacity transmission systems place higher demands on dynamic reactive power compensation devices. Against this backdrop, the magnetically controlled reactor (MCR) has become an effective solution due to its unique working principle: by adjusting the firing angle of the thyristor to control the magnetic saturation of the core solenoid valve section, it achieves continuous and smooth control of the output inductance value, combining fast response characteristics and operational reliability. Therefore, it is widely used in modern power systems.
[0003] The core function of a magnetically controlled reactor is to dynamically compensate for reactive power by varying the permeability of its core. However, in actual operation, key components such as the core structure and winding assemblies are prone to various defects. Current industry testing methods mainly rely on periodic electrical parameter measurements, manual inspections, and infrared / ultrasonic testing. However, existing technologies for defect detection in magnetically controlled reactors are inefficient and inaccurate, resulting in poor operational reliability. Summary of the Invention
[0004] In view of this, the present invention provides a method, system, device, medium and product for defect identification of magnetically controlled reactors, which solves the technical problem that the existing defect detection methods for magnetically controlled reactors are inefficient and inaccurate, resulting in poor operational reliability of magnetically controlled reactors.
[0005] The first aspect of this invention provides a method for identifying defects in a magnetically controlled reactor, comprising:
[0006] Acquire the excitation winding current of the tested magnetically controlled reactor after applying sinusoidal current excitation, as well as the temperature data of the preset temperature measurement point at the joint between the magnetic valve section and the core laminations.
[0007] Based on the excitation winding current, determine the equivalent DC component and AC component of the excitation winding;
[0008] The equivalent DC and AC components of the excitation winding are analyzed separately. Based on the results of the spectrum analysis, it is determined whether the winding of the tested magnetically controlled reactor is faulty, and based on the temperature data, it is determined whether the core of the tested magnetically controlled reactor is faulty.
[0009] Preferably, the excitation winding current includes the current on the branch windings on both sides of the excitation winding;
[0010] The step of determining the equivalent DC and AC components of the excitation winding based on the excitation winding current includes:
[0011] Obtain the sinusoidal current excitation applied to the excitation winding of the magnetically controlled reactor under test;
[0012] Based on the excitation winding circuit corresponding to the tested magnetically controlled reactor, the current on the branch windings on both sides of the excitation winding, and the sinusoidal current excitation, the equivalent DC component and AC component of the excitation winding are determined.
[0013] Preferably, the step of performing spectral analysis on the equivalent DC and AC components of the excitation winding, and detecting whether the winding of the tested magnetically controlled reactor is faulty based on the spectral analysis results, includes:
[0014] Fourier transforms are performed on the equivalent DC component and AC component of the excitation winding respectively to obtain the harmonic components corresponding to the equivalent DC component and the AC component respectively.
[0015] The winding of the tested magnetically controlled reactor is determined based on the harmonic components.
[0016] Preferably, determining whether the winding of the tested magnetically controlled reactor is faulty based on the harmonic components includes:
[0017] If the harmonic components of the equivalent DC component contain odd harmonic components, and / or the harmonic components of the AC component contain non-odd harmonic components, it is determined that the winding of the tested magnetically controlled reactor has a fault.
[0018] If the equivalent DC component does not contain the odd harmonic component, and the AC component does not contain the non-odd harmonic component, then the winding of the tested magnetically controlled reactor is determined to be fault-free.
[0019] Preferably, the preset temperature measurement points include multiple points;
[0020] Detecting whether the core of the tested magnetically controlled reactor is faulty based on the temperature data includes:
[0021] If the temperature data corresponding to any of the preset temperature measurement points is greater than the preset temperature threshold, then the core of the tested magnetically controlled reactor is determined to be faulty.
[0022] If it is determined that there is a fault in the core of the tested magnetically controlled reactor, the spatial temperature gradient value between the two adjacent preset temperature measuring points is determined based on the temperature difference between the temperature data of the two adjacent preset temperature measuring points and the spatial distance difference between the two adjacent preset temperature measuring points.
[0023] When the spatial temperature gradient value is greater than the preset spatial temperature gradient threshold, the core position corresponding to the two adjacent preset temperature measurement points is determined to be the fault position.
[0024] Preferably, the method further includes:
[0025] Based on the fault type of the tested magnetically controlled reactor, a fault detection report of the tested magnetically controlled reactor is generated and sent to a designated terminal; wherein, the fault type includes winding fault and core fault;
[0026] Repair the tested magnetically controlled reactor according to the fault detection report, and after the repair is completed, re-excite the tested magnetically controlled reactor with sinusoidal current.
[0027] Secondly, the present invention also provides a defect identification system for a magnetically controlled reactor, comprising:
[0028] The data acquisition module is used to acquire the excitation winding current of the tested magnetically controlled reactor after applying sinusoidal current excitation, as well as the temperature data of the preset temperature measurement point at the joint between the magnetic valve section and the core lamination.
[0029] The component determination module is used to determine the equivalent DC component and AC component of the excitation winding based on the excitation winding current.
[0030] The fault identification module is used to perform spectrum analysis on the equivalent DC and AC components of the excitation winding, respectively, and detect whether the winding of the tested magnetically controlled reactor is faulty based on the spectrum analysis results, and detect whether the core of the tested magnetically controlled reactor is faulty based on the temperature data.
[0031] Thirdly, the present invention also provides an electronic device, the electronic device including a memory and a processor, the memory storing a computer program, the computer program being executed by the processor causing the processor to perform the steps of the magnetically controlled reactor defect identification method as described in the first aspect.
[0032] Fourthly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the steps of the magnetically controlled reactor defect identification method as described in the first aspect.
[0033] Fifthly, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, wherein when the program instructions are executed by a computer, the computer performs the steps of the magnetically controlled reactor defect identification method as described in the first aspect.
[0034] As can be seen from the above technical solutions, this invention obtains the excitation winding current of the tested magnetically controlled reactor after applying sinusoidal current excitation, as well as the temperature data of a preset temperature measuring point at the joint between the magnetic valve section and the core laminations. Based on the excitation winding current, it determines the equivalent DC and AC components of the excitation winding, performs spectral analysis on the equivalent DC and AC components of the excitation winding, detects whether the winding of the tested magnetically controlled reactor is faulty based on the spectral analysis results, and detects whether the core of the tested magnetically controlled reactor is faulty based on the temperature data. This allows for rapid detection of defects and fault types in the magnetically controlled reactor, improving defect detection efficiency. By using the spectral analysis of the excitation winding current as the basis for winding fault detection and the temperature data of the preset temperature measuring point at the joint between the magnetic valve section and the core laminations as the basis for core fault detection, the accuracy of magnetically controlled reactor fault detection is improved. Attached Figure Description
[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0036] Figure 1 This is an application environment diagram of a method for identifying defects in a magnetically controlled reactor provided in an embodiment of the present invention;
[0037] Figure 2 A flowchart of a method for identifying defects in a magnetically controlled reactor provided in an embodiment of the present invention;
[0038] Figure 3 This is a topology diagram of a magnetically controlled reactor provided in an embodiment of the present invention;
[0039] Figure 4 This is a schematic diagram of the excitation winding circuit of a magnetically controlled reactor provided in an embodiment of the present invention;
[0040] Figure 5 This is a schematic diagram of a defect identification system for a magnetically controlled reactor provided in an embodiment of the present invention;
[0041] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation
[0042] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0043] Current reactor defect detection technology faces significant technical bottlenecks, particularly in the field of magnetically controlled reactors (MCRs). Research indicates that existing detection systems are primarily designed for dry-type air-core reactors, with limitations in detection schemes for magnetically controlled reactors. This stems from the unique core topology and dynamic adjustment mechanism of MCRs: during operation, only the magnetic valve section is in a magnetically saturated state, while the remaining core sections maintain an unsaturated operating mode, and this operating state varies with different capacities, making traditional magnetic field-based detection methods difficult to directly adapt. The main shortcomings of existing technologies lie in the inadequacy of detecting the two core components: the windings and the core.
[0044] From the perspective of winding defect detection, MCR winding fault diagnosis faces unique technical challenges. Complex electromagnetic interactions exist between faulty and non-faulty windings, resulting in significant differences in fault characteristics depending on the short-circuit turns ratio or fault location. A more critical technical difficulty lies in the capacity regulation characteristics of the MCR; the same short-circuit fault exhibits differentiated electromagnetic characteristics under different operating capacities. This directly renders traditional methods based on current amplitude and phase analysis ineffective.
[0045] In the area of core inspection, MCR features a unique magnetic valve structure design. This design incorporates a magnetic valve section within a double-core column composed of stacked high-permeability silicon steel sheets. By controlling the thyristor conduction angle, the saturation level of the magnetic valve section is adjusted, thereby achieving dynamic reactive power compensation. During operation, the magnetic valve section, as the only saturated region, experiences drastic magnetic field changes. Meanwhile, the joints between the core laminations exhibit magnetic flux distortion due to manufacturing deviations. These two areas become high-risk zones for abnormal temperature rises. Traditional infrared thermal imaging technology, limited by insufficient spatial resolution and overall temperature field analysis, struggles to achieve rapid localization and has insufficient detection capabilities for the magnetic valve section.
[0046] Therefore, the magnetically controlled reactor defect identification method provided in this application embodiment can be applied to, for example... Figure 1In the application environment shown, terminal 101 communicates with server 102 via a network. A data storage system can store the data that server 102 needs to process. The data storage system can be integrated onto server 102 or placed on the cloud or other network servers. Terminal 101 or server 102 acquires the excitation winding current of the tested magnetically controlled reactor after applying sinusoidal current excitation, as well as the temperature data of preset temperature measurement points at the joint between the magnetic valve section and the core laminations; based on the excitation winding current, it determines the equivalent DC and AC components of the excitation winding; it performs spectral analysis on the equivalent DC and AC components of the excitation winding respectively, detects whether the winding of the tested magnetically controlled reactor is faulty based on the spectral analysis results, and detects whether the core of the tested magnetically controlled reactor is faulty based on the temperature data.
[0047] Terminal 101 can be, but is not limited to, various personal computers, laptops, smartphones, and tablets.
[0048] Server 102 can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides cloud computing services.
[0049] like Figure 2 As shown, this application provides a method for identifying defects in a magnetically controlled reactor, which is applied to... Figure 1 Taking terminal 101 or server 102 as an example, the explanation includes the following steps S1 to S3. Wherein:
[0050] Step S1: Obtain the excitation winding current of the tested magnetically controlled reactor after applying sinusoidal current excitation, as well as the temperature data of the preset temperature measurement point at the joint between the magnetic valve section and the core laminations.
[0051] The topology of a magnetically controlled reactor is as follows: Figure 3 As shown, a sinusoidal excitation is applied to it, and the excitation winding current flowing through the corresponding windings on the iron core columns 1 and 2 is obtained through the installed current transformer. Fiber optic temperature sensors are set at the joint between the magnetic valve section and the iron core laminations (including but not limited to the temperature measurement points shown in the figure) to obtain temperature data.
[0052] Step S2: Determine the equivalent DC component and AC component of the excitation winding based on the excitation winding current.
[0053] The equivalent DC component is determined by the magnetization characteristics of the tested magnetically controlled reactor, reflecting the saturation degree of the iron core; while the AC component is related to parameters such as winding resistance and inductance, and is affected by the winding state.
[0054] The excitation winding current includes the current on the branch windings on both sides of the excitation winding.
[0055] In the process of determining the equivalent DC and AC components of the excitation winding, such as Figure 4 As shown, without considering the instantaneous switching characteristics of thyristors and diodes, the operating states of the magnetic valve type controllable reactor within one power frequency cycle can be divided into three types: state 1 (thyristor T1 is on, thyristor T2 and diode D are off), state 2 (diode D is on, thyristors T1 and T2 are off), and state 3 (thyristor T2 is on, thyristor T1 and diode D are off).
[0056] The transitions between these different operating states are determined by the voltage across the thyristor and diode, the current flowing through them, and the externally applied trigger pulse signal. State 1 corresponds to the normal operating state during the positive half-cycle of the power supply, and State 3 corresponds to the normal operating state during the negative half-cycle. State 2 is a transitional state whose main function is to turn on diode D, thus providing freewheeling current.
[0057] This application focuses on the operation during the positive half-cycle of the power supply. During the positive half-cycle, when a trigger signal is applied to thyristor T1, T1 enters the conducting state due to its unidirectional conductivity. At the same time, thyristor T2 is clamped in the cutoff state due to the reverse voltage of the power supply, thus exiting operation.
[0058] Specifically, based on the excitation winding current, the equivalent DC and AC components of the excitation winding are determined, including:
[0059] Step S201: Obtain the sinusoidal current excitation applied to the excitation winding of the magnetically controlled reactor under test.
[0060] Among them, the sinusoidal current excitation is the alternating current applied to the excitation winding of the magnetically controlled reactor under test, which is used to excite the magnetic field of the magnetically controlled reactor.
[0061] Step S202: Based on the excitation winding circuit corresponding to the magnetically controlled reactor under test, the current on the branch windings on both sides of the excitation, and the sinusoidal current excitation, determine the equivalent DC component and AC component of the excitation winding.
[0062] Among them, by Figure 4 The equivalent DC and AC components of the excitation winding circuit shown are calculated as follows:
[0063] (1)
[0064] In the formula, , These are the currents on the branch windings on both sides of the excitation circuit, respectively. The excitation is a sinusoidal current, i.e., an alternating current applied to the excitation winding of the magnetically controlled reactor under test. , These are the equivalent DC and AC components of the excitation winding, respectively.
[0065] Step S3: Perform spectrum analysis on the equivalent DC and AC components of the excitation winding respectively. Detect whether the winding of the tested magnetically controlled reactor is faulty based on the spectrum analysis results, and detect whether the core of the tested magnetically controlled reactor is faulty based on the temperature data.
[0066] It should be noted that, in this embodiment, the excitation winding current of the tested magnetically controlled reactor after applying sinusoidal current excitation, as well as the temperature data of a preset temperature measuring point at the joint between the magnetic valve section and the core laminations, are obtained. Based on the excitation winding current, the equivalent DC and AC components of the excitation winding are determined. Spectral analysis is performed on the equivalent DC and AC components of the excitation winding, and the winding faults of the tested magnetically controlled reactor are detected based on the spectral analysis results. Furthermore, the core faults of the tested magnetically controlled reactor are detected based on the temperature data. This allows for rapid detection of defects and fault types in the magnetically controlled reactor, improving defect detection efficiency. Using the spectral analysis of the excitation winding current as the basis for winding fault detection and the temperature data of the preset temperature measuring point at the joint between the magnetic valve section and the core laminations as the basis for core fault detection improves the accuracy of magnetically controlled reactor fault detection.
[0067] In some embodiments, spectral analysis is performed on the equivalent DC and AC components of the excitation winding, and the winding of the tested magnetically controlled reactor is detected for faults based on the spectral analysis results, including:
[0068] Step S301: Perform Fourier transform on the equivalent DC component and AC component of the excitation winding respectively to obtain the harmonic components corresponding to the equivalent DC component and AC component respectively.
[0069] Step S302: Determine whether the winding of the tested magnetically controlled reactor is faulty based on the harmonic components.
[0070] Specifically, determining whether the windings of the tested magnetically controlled reactor are faulty based on harmonic components includes:
[0071] Step S3021: If the harmonic components of the equivalent DC component contain odd harmonic components, and / or the harmonic components of the AC component contain non-odd harmonic components, it is determined that there is a fault in the winding of the tested magnetically controlled reactor.
[0072] Step S3022: If the harmonic components of the equivalent DC component do not contain odd harmonic components and the harmonic components of the AC component do not contain non-odd harmonic components, it is determined that the winding of the tested magnetically controlled reactor is fault-free.
[0073] The following describes the principle of analyzing winding faults in the tested magnetically controlled reactor:
[0074] By applying sinusoidal excitation to the MCR, the conduction angles of thyristors T1 and T2 can be set to adjust the DC control current, and the winding currents can be analyzed and processed through current transformers CT1 and CT2 located on both windings. When thyristors T1 and T2 conduct alternately within one cycle, based on the symmetrical characteristics of the MCR's dual-winding structure, under normal operating conditions, the current on the excitation branch windings on both sides... , Satisfies a mirror symmetry relationship: ,in, ω is the angular frequency.
[0075] The Fourier series expansion is essentially transforming a periodic function with period T (=2π / ω) into a series of sine functions A with period T. n sin(nωt+φ n It can be represented by a series consisting of , denoted as Among them, A0 and A n , All are constants.
[0076] Here, due to the symmetrical structure of the MCR and the alternating conduction characteristic of the two thyristors within one cycle, i1 is also a periodic function with a period of T. Therefore, a Fourier series expansion can be performed in the manner described above. Furthermore, due to the mirror symmetry relationship between i2 and i1 ( Then the expression after expanding i1 can be... Replace ωt with ωt+π and add a negative sign before the whole, and we get Then, depending on whether n is odd or even, the trigonometric function part is divided into two parts. Then, for i2, according to the properties of trigonometric functions, when n is even, nπ can be directly removed; when n is odd, nπ can be removed and a negative sign is added before the expression.
[0077] (2)
[0078] In the formula: n and m are positive integers; I0 is the DC component; I n , These represent the amplitude and phase of the nth harmonic, respectively.
[0079] According to equation (1), we have According to equation (2), we have Substituting i1 and i2 from equation (2) into equation (1), we get:
[0080]
[0081] By rearranging the above equation, we get:
[0082]
[0083] As can be seen from the above formula, when the MCR has no winding fault, the AC current i a Only odd harmonic components exist, DC current i d Only DC components and even harmonic components exist. When an inter-turn short circuit occurs, the winding symmetry is disrupted, leading to... At this time, the DC component i d Significant odd harmonic components (especially the fundamental component) and alternating current components will be observed in the middle section. Non-odd harmonic components appear in it.
[0084] Specifically, the i1 and i2 signals are obtained by CT1 and CT2 installed in the winding branch, and then calculated to obtain... i d Afterwards, i d By performing a Fourier transform, winding faults can be identified by analyzing harmonic components.
[0085] When the MCR winding is fault-free, the AC current i a Only odd harmonic components exist, DC current i d Only DC components and even harmonic components exist;
[0086] When the MCR winding fails, the DC component i is affected because the winding symmetry condition is disrupted. d Significant odd harmonic components (especially the fundamental component) and alternating current components will be observed in the middle section. Non-odd harmonic components appear. Therefore, by analyzing the FFT (Fast Fourier Transform) spectrum results, we can observe whether there are harmonic components that should not exist under normal operating conditions, and determine whether there is a winding fault.
[0087] In some examples, since the fundamental component content is higher and easier to detect during MCR faults, the harmonic status of the DC component can be used as the primary criterion, and the harmonic status of the AC component as the secondary criterion, to comprehensively judge winding faults and enhance reliability.
[0088] In some embodiments, the preset temperature measurement points include multiple points, such as at least two preset temperature measurement points. In this case, detecting whether the core of the tested magnetically controlled reactor is faulty based on the temperature data includes:
[0089] Step S311: When it is determined that the temperature data corresponding to any preset temperature measurement point is greater than the preset temperature threshold, it is determined that there is a fault in the core of the tested magnetically controlled reactor.
[0090] Specifically, when the temperature data corresponding to any preset temperature measurement point is greater than the preset temperature threshold, an abnormal temperature warning is issued as a first-level defect judgment, that is, there is a core defect causing local temperature abnormality.
[0091] Among them, the temperature threshold is obtained by training a benchmark temperature model based on long-term historical operating data. First, the temperature threshold-capacity mapping relationship of each temperature measurement point of MCR is established. The original data is smoothed by using an appropriate algorithm (such as the sliding window method). Abnormal data is removed by combining the 3σ criterion.
[0092] The temperature threshold for this step is obtained by matching the current capacity of the tested magnetically controlled reactor to the temperature-capacity mapping relationship at each temperature measurement point.
[0093] Step S312: If it is determined that there is a fault in the core of the tested magnetically controlled reactor, determine the spatial temperature gradient value between the two adjacent preset temperature measuring points based on the temperature difference between the temperature data of the two adjacent preset temperature measuring points and the spatial distance difference between the two adjacent preset temperature measuring points.
[0094] Step S313: When the spatial temperature gradient value is greater than the preset spatial temperature gradient threshold, the core position corresponding to the two adjacent preset temperature measurement points is determined to be the fault position.
[0095] Among them, through ( The temperature difference between the temperature data of two adjacent preset temperature measurement points. The system calculates the spatial temperature gradient between two adjacent preset temperature measurement points in real time (based on the spatial distance difference between the two preset temperature measurement points). When the gradient value exceeds the preset safety limit or an abnormal change occurs, an early warning is triggered in the corresponding area as a secondary defect judgment. The system also determines the core position corresponding to the two adjacent preset temperature measurement points as the fault position, thereby achieving precise location of local overheating or insulation damage of the core laminations.
[0096] In some embodiments, the method further includes:
[0097] Step S401: Generate a fault detection report for the tested magnetically controlled reactor based on the fault type of the tested magnetically controlled reactor, and send the fault detection report to the designated terminal; wherein, the fault type includes winding fault and core fault;
[0098] Step S402: Repair the tested magnetically controlled reactor according to the fault detection report, and after the repair is completed, re-excite the tested magnetically controlled reactor with sinusoidal current.
[0099] In this process, fault detection reports are pushed to the maintenance terminal in real time to guide on-site handling. After the maintenance personnel complete the repair, a secondary electrical excitation test is performed to verify the repair effect, and the verification data is synchronously transmitted back to the database.
[0100] Meanwhile, newly detected suspected defect cases can be entered into the database after initial confirmation by on-site maintenance personnel; for verified typical defect cases, the system automatically collects similar data to achieve incremental optimization of the database.
[0101] It should be noted that the detection of winding faults involves processing the measured current and analyzing the harmonic components in the corresponding AC and DC currents. This avoids the problem of the same winding fault exhibiting different electromagnetic characteristics under different operating capacities, making the judgment results more intuitive and reliable. The detection of core overheating takes into account the special structure of the magnetic valve-type controllable reactor. A direct judgment can be made based on the temperature of the magnetic valve section, and the defect location can be roughly determined by the temperature gradient between adjacent temperature measurement points. This dual judgment method effectively improves detection efficiency.
[0102] Based on the same inventive concept, this application also provides a magnetically controlled reactor defect identification system for implementing the above-mentioned magnetically controlled reactor defect identification method.
[0103] The solution provided by this system is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the magnetically controlled reactor defect identification system provided below can be found in the limitations of the magnetically controlled reactor defect identification method described above, and will not be repeated here.
[0104] like Figure 5 As shown, this application provides a defect identification system for a magnetically controlled reactor, including:
[0105] The data acquisition module 100 is used to acquire the excitation winding current of the tested magnetically controlled reactor after applying sinusoidal current excitation, as well as the temperature data of the preset temperature measurement point at the joint between the magnetic valve section and the core lamination.
[0106] The component determination module 200 is used to determine the equivalent DC component and AC component of the excitation winding based on the excitation winding current.
[0107] The fault identification module 300 is used to perform spectrum analysis on the equivalent DC and AC components of the excitation winding, respectively, and detect whether the winding of the tested magnetically controlled reactor is faulty based on the spectrum analysis results, and detect whether the core of the tested magnetically controlled reactor is faulty based on the temperature data.
[0108] In some embodiments, the excitation winding current includes the current on the branch windings on both sides of the excitation winding;
[0109] Component determination module 200 is used for:
[0110] Obtain the sinusoidal current excitation applied to the excitation winding of the magnetically controlled reactor under test.
[0111] Based on the excitation winding circuit corresponding to the tested magnetically controlled reactor, the current on the branch windings on both sides of the excitation, and the sinusoidal current excitation, the equivalent DC component and AC component of the excitation winding are determined.
[0112] In some embodiments, the fault identification module 300 includes a winding fault identification module, which is used for:
[0113] Fourier transforms are performed on the equivalent DC and AC components of the excitation winding respectively to obtain the harmonic components corresponding to the equivalent DC and AC components.
[0114] Determine whether the winding of the tested magnetically controlled reactor is faulty based on harmonic components.
[0115] In some embodiments, the winding fault identification module is used for:
[0116] If the harmonic components of the equivalent DC component contain odd harmonic components, and / or the harmonic components of the AC component contain non-odd harmonic components, it is determined that there is a fault in the winding of the tested magnetically controlled reactor.
[0117] If the harmonic components of the equivalent DC component do not contain odd harmonic components, and the harmonic components of the AC component do not contain non-odd harmonic components, the winding of the tested magnetically controlled reactor is determined to be fault-free.
[0118] In some embodiments, the preset temperature measurement points include multiple points;
[0119] The fault identification module 300 includes a core fault identification module, which is used for:
[0120] If the temperature data corresponding to any preset temperature measurement point is greater than the preset temperature threshold, it is determined that there is a fault in the core of the tested magnetically controlled reactor.
[0121] When it is determined that there is a fault in the core of the tested magnetically controlled reactor, the spatial temperature gradient value between the two adjacent preset temperature measurement points is determined based on the temperature difference between the temperature data of the two adjacent preset temperature measurement points and the spatial distance difference between the two adjacent preset temperature measurement points.
[0122] When the spatial temperature gradient value is greater than the preset spatial temperature gradient threshold, the core position corresponding to the two adjacent preset temperature measurement points is determined to be the fault position.
[0123] In some embodiments, the system further includes: a fault feedback module, used for:
[0124] Based on the fault type of the tested magnetically controlled reactor, a fault detection report is generated and sent to the designated terminal; the fault types include winding faults and core faults.
[0125] Repair the tested magnetically controlled reactor according to the fault detection report, and after the repair is completed, re-excite the tested magnetically controlled reactor with sinusoidal current.
[0126] like Figure 6 As shown, this application provides an electronic device. The electronic device 10 includes a memory 20 and a processor 30. The memory 20 stores a computer program. When the computer program is executed by the processor 30, the processor 30 performs the steps of the magnetically controlled reactor defect identification method as described in the above embodiment.
[0127] This application provides a computer-readable storage medium storing a computer program thereon, which, when executed, implements the steps of the magnetically controlled reactor defect identification method as described in the above embodiments.
[0128] This application provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer performs the steps of the magnetically controlled reactor defect identification method as described in the above embodiments.
[0129] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, electronic devices, computer storage media, and computer program products described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0130] It should be noted that the user information (including but not limited to user images, user portrait information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with relevant regulations.
[0131] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0132] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.
[0133] In the several embodiments provided by this invention, it should be understood that the disclosed systems, electronic devices, computer storage media, computer program products, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between devices or units, and may be electrical, mechanical, or other forms.
[0134] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0135] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0136] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for executing all or part of the steps of the methods described in the various embodiments of the present invention through a computer device (which may be a personal computer, a server, or a network device, etc.). The aforementioned storage medium includes: USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media capable of storing program code.
[0137] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for identifying defects in a magnetically controlled reactor, characterized in that, include: Acquire the excitation winding current of the tested magnetically controlled reactor after applying sinusoidal current excitation, as well as the temperature data of the preset temperature measurement point at the joint between the magnetic valve section and the core laminations. Based on the excitation winding current, determine the equivalent DC component and AC component of the excitation winding; The equivalent DC and AC components of the excitation winding are analyzed separately. Based on the results of the spectrum analysis, it is determined whether the winding of the tested magnetically controlled reactor is faulty, and based on the temperature data, it is determined whether the core of the tested magnetically controlled reactor is faulty.
2. The defect identification method for magnetically controlled reactors according to claim 1, characterized in that, The excitation winding current includes the current on the branch windings on both sides of the excitation winding; The step of determining the equivalent DC and AC components of the excitation winding based on the excitation winding current includes: Obtain the sinusoidal current excitation applied to the excitation winding of the magnetically controlled reactor under test; Based on the excitation winding circuit corresponding to the tested magnetically controlled reactor, the current on the branch windings on both sides of the excitation winding, and the sinusoidal current excitation, the equivalent DC component and AC component of the excitation winding are determined.
3. The defect identification method for magnetically controlled reactors according to claim 1, characterized in that, The step of performing spectral analysis on the equivalent DC and AC components of the excitation winding, and detecting whether the winding of the tested magnetically controlled reactor is faulty based on the spectral analysis results, includes: Fourier transforms are performed on the equivalent DC component and AC component of the excitation winding respectively to obtain the harmonic components corresponding to the equivalent DC component and the AC component respectively. The winding of the tested magnetically controlled reactor is determined based on the harmonic components.
4. The defect identification method for magnetically controlled reactors according to claim 3, characterized in that, The step of determining whether the winding of the tested magnetically controlled reactor is faulty based on the harmonic components includes: If the harmonic components of the equivalent DC component contain odd harmonic components, and / or the harmonic components of the AC component contain non-odd harmonic components, it is determined that the winding of the tested magnetically controlled reactor has a fault. If the equivalent DC component does not contain the odd harmonic component, and the AC component does not contain the non-odd harmonic component, then the winding of the tested magnetically controlled reactor is determined to be fault-free.
5. The defect identification method for magnetically controlled reactors according to claim 1, characterized in that, The preset temperature measurement points include multiple points; Detecting whether the core of the tested magnetically controlled reactor is faulty based on the temperature data includes: If the temperature data corresponding to any of the preset temperature measurement points is greater than the preset temperature threshold, then the core of the tested magnetically controlled reactor is determined to be faulty. If it is determined that there is a fault in the core of the tested magnetically controlled reactor, the spatial temperature gradient value between the two adjacent preset temperature measuring points is determined based on the temperature difference between the temperature data of the two adjacent preset temperature measuring points and the spatial distance difference between the two adjacent preset temperature measuring points. When the spatial temperature gradient value is greater than the preset spatial temperature gradient threshold, the core position corresponding to the two adjacent preset temperature measurement points is determined to be the fault position.
6. The defect identification method for magnetically controlled reactors according to claim 1, characterized in that, Also includes: Based on the fault type of the tested magnetically controlled reactor, a fault detection report of the tested magnetically controlled reactor is generated and sent to a designated terminal; wherein, the fault type includes winding fault and core fault; Repair the tested magnetically controlled reactor according to the fault detection report, and after the repair is completed, re-excite the tested magnetically controlled reactor with sinusoidal current.
7. A defect identification system for a magnetically controlled reactor, characterized in that, include: The data acquisition module is used to acquire the excitation winding current of the tested magnetically controlled reactor after applying sinusoidal current excitation, as well as the temperature data of the preset temperature measurement point at the joint between the magnetic valve section and the core lamination. The component determination module is used to determine the equivalent DC component and AC component of the excitation winding based on the excitation winding current. The fault identification module is used to perform spectrum analysis on the equivalent DC and AC components of the excitation winding, respectively, and detect whether the winding of the tested magnetically controlled reactor is faulty based on the spectrum analysis results, and detect whether the core of the tested magnetically controlled reactor is faulty based on the temperature data.
8. An electronic device, characterized in that, The electronic device includes a memory and a processor. The memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the magnetically controlled reactor defect identification method as described in any one of claims 1-6.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed, it implements the steps of the magnetically controlled reactor defect identification method as described in any one of claims 1-6.
10. A computer program product, characterized in that, The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, wherein when the program instructions are executed by a computer, the computer performs the steps of the magnetically controlled reactor defect identification method as described in any one of claims 1-6.