Excitation current recording-based abnormality detection method for magnetic control column circuit breaker

Abstract

The present application relates to the technical field of power system equipment monitoring, in particular to a magnetic control column circuit breaker abnormality detection method based on excitation current recording wave, charge quantity models corresponding to active closing control, active opening control and manual operation opening of the magnetic control column circuit breaker are respectively established; the recording wave trigger condition and the recording wave collection period of the excitation current are initialized and set, and recording wave data storage is carried out based on the recording wave trigger condition; the stored recording wave data is compared with the charge quantity models corresponding to the active closing control, the active opening control and the manual operation opening, the magnetic control column circuit breaker opening and closing action abnormality detection is carried out, and the abnormal action inducement is determined. The magnetic retention force decay or surge interference can be accurately identified, and the inducement of the magnetic control column circuit breaker trip is determined.

Description

Technical Field

[0001] This invention relates to the field of power system equipment monitoring technology, specifically to a method for detecting anomalies in magnetically controlled pole-mounted circuit breakers based on excitation current recording. Background Technology

[0002] Compared to traditional spring-operated circuit breakers, 12kV magnetically controlled pole-mounted vacuum circuit breakers offer advantages such as simple structure, fast opening and closing response, and long mechanical cycle life. However, actual operation reveals a non-command-driven abnormal tripping phenomenon, known as "sneak tripping." Specifically, this manifests as the mechanism automatically tripping under conditions of no overcurrent / short-circuit faults, no manual operation commands, and no manual tripping, leading to an abnormal interruption of the power supply circuit. This latent defect reduces power supply reliability, causing unforeseen power outage losses for users and increasing unplanned maintenance costs for power grid companies, becoming a bottleneck restricting the large-scale application of magnetically controlled pole-mounted circuit breakers. However, the root cause involves insufficient magnetic holding force stability and a low surge tolerance threshold in the control circuit. Traditional detection methods rely on manual inspection, which cannot accurately distinguish between magnetic holding force instability and surge interference. Summary of the Invention

[0003] To address the aforementioned problems, this invention provides a method for detecting anomalies in magnetically controlled pole-mounted circuit breakers based on excitation current recording, comprising:

[0004] S1. Establish charge models for the magnetically controlled pole-mounted circuit breaker under active closing control, active opening control, and manual operation opening respectively.

[0005] S2. Initialize and set the recording trigger conditions and recording acquisition period of the excitation current, and store the recording data based on the recording trigger conditions; the recording trigger conditions are circuit breaker position change information or electrical signal response of the sampling resistor.

[0006] S3. Based on the waveform recording triggering conditions, the stored waveform recording data is compared with the established charge quantity models corresponding to active closing control, active opening control, and manual operation opening to perform abnormal detection of the opening and closing actions of the magnetically controlled pole-mounted circuit breaker and determine the cause of the abnormal action, specifically as follows:

[0007] When the recording trigger condition is the circuit breaker position change signal, if there is an active closing control command and the circuit breaker position change signal changes from open to closed, then compare the charge quantity model of the active closing control with the charge quantity data of the closing action calculated by the recording data to confirm the comparison result.

[0008] If there is an active tripping control command and the circuit breaker position signal changes from closed to open, then compare the charge quantity model of the active tripping control with the charge quantity data of the tripping action calculated from the waveform data to confirm the comparison result.

[0009] If there is no control command and the circuit breaker position change signal changes from closed to open, compare the charge quantity model of manual operation tripping with the charge quantity data of tripping action calculated from the waveform data to confirm the comparison result.

[0010] The specific method for confirming the comparison results described in S3 is as follows:

[0011] The charge data Qh for the closing action is calculated based on the recorded waveform data. The charge data Qh is then compared with the charge model Qh0 for active closing control. If the charge data Qh falls within the limit range of the charge model Qh0, the closing circuit of the circuit breaker magnetic control mechanism is normal; if it does not fall within the limit range of the charge model Qh0, the closing circuit of the circuit breaker magnetic control mechanism is abnormal.

[0012] The charge amount data Qf for the tripping action is calculated based on the recorded waveform data. The charge amount data Qf is compared with the charge amount model Qf0 of the active tripping control. If the charge amount data Qf falls within the limit range of the charge amount model Qf0, the tripping circuit of the circuit breaker magnetic control mechanism is normal; if it does not fall within the limit range of the charge amount model Qf0, the tripping circuit of the circuit breaker magnetic control mechanism is abnormal.

[0013] The charge amount Qs for the tripping action is calculated based on the recorded waveform data, and then compared with the charge amount model Qs0 for manual tripping.

[0014] If the charge data Qs is less than 0 and falls within the limit range of the charge model Qs0, then it is a manual hard circuit breaker.

[0015] If the charge data Qs is less than 0 and its absolute value is less than the absolute value of the lower limit of the limit range of the charge model Qs0, then the magnetic holding force of the circuit breaker magnetic control mechanism is abnormal.

[0016] If the charge data Qs is greater than 0, it indicates an abnormal surge interference.

[0017] S3 also includes the electrical signal response of the sampling resistor when the recording trigger condition is the circuit breaker position is closed and the electrical signal of the sampling resistor is a positive current, then the magnetic holding force of the circuit breaker magnetic control mechanism is abnormal.

[0018] The specific method for establishing the charge quantity models of the magnetically controlled pole-mounted circuit breaker under active closing control, active opening control, and manual operation opening, as described in S1, is as follows:

[0019] S1.1 Determine the control times for active closing control, active opening control, and manual opening control respectively;

[0020] S1.2 Calculate the sampling time of a single sampling within a unit cycle time, and determine the number of sampling points for the control time of active closing control, active opening control and manual operation opening respectively.

[0021] S1.3. Based on the number of sampling points during the active closing control, active opening control, and manual operation opening control time, obtain the current data of all sampling points for active closing control, active opening control, and manual operation opening control, respectively.

[0022] S1.4. Based on the number of sampling points from the start of waveform recording to the end of the control time, the charge quantity models for active closing control, active opening control and manual operation opening are obtained according to the current data of the sampling points, which are the corresponding charge quantity data.

[0023] The formulas for the charge quantity models of the active closing control, active opening control, and manual operation opening are as follows:

[0024] ,

[0025] ,

[0026] ,

[0027] In the formula, Qh0 The charge quantity model for active closing control; Qf0 The charge quantity model for active tripping control; Qs0 A charge quantity model for manual circuit breaker tripping; Ih(n) This represents the sampling point current data for active closing control; If(n) This represents the sampling point current data for active tripping control; Is(n) This represents the sampling point current data for manual circuit breaker tripping. TS Indicates the sampling time for a single sample; N0 This indicates the number of sampling points before the start of waveform recording; Nh The number of sampling points for the control time of the active closing control; Nf The number of sampling points for the control time of the active tripping control; Ns The number of sampling points for the control time of manual operation tripping.

[0028] The waveform acquisition period includes several cycles before the start of waveform recording and several cycles after the start of waveform recording.

[0029] The lower limit of the restricted interval is the product of the charge quantity model and the lower limit threshold coefficient; the upper limit of the restricted interval is the product of the charge quantity model and the upper limit threshold coefficient.

[0030] On the other hand, there is also a magnetic pole-mounted circuit breaker anomaly detection system based on excitation current recording, applied to the magnetic pole-mounted circuit breaker anomaly detection method based on excitation current recording as described above, including:

[0031] The opening and closing drive circuit is used to drive and control the magnetically controlled pole-mounted circuit breaker to perform opening or closing actions.

[0032] The current sampling unit is used to sample and acquire the electrical signal of the excitation current of the magnetically controlled circuit breaker.

[0033] The ADC conversion unit is used to convert the analog current signal sampled by the current sampling unit into a digital signal and transmit it to the MCU processor.

[0034] The circuit breaker position signal detection unit is used to detect the opening and closing status of the circuit breaker body on the magnetic control column;

[0035] A waveform data storage unit is used to store waveform data of the excitation current;

[0036] The MCU processor is used to acquire control command signals from the magnetically controlled pole-mounted circuit breaker, and to receive and analyze the opening and closing status and waveform data of the magnetically controlled pole-mounted circuit breaker body to determine abnormal opening and closing actions of the magnetically controlled pole-mounted circuit breaker and issue a demagnetization alarm.

[0037] The opening and closing drive circuit includes IBGT transistors Q1-Q4 and energy storage capacitor C1. The IBGT transistors Q1-Q4 form a series-parallel circuit, and the energy storage capacitor C1 is connected in parallel to the series circuit of the IBGT transistors.

[0038] The current sampling unit is electrically connected to the series circuit of the two IBGT transistors in the opening and closing drive circuit.

[0039] The current sampling unit is a current sampling resistor or a Hall effect current sensor.

[0040] Beneficial Effects: This invention provides an anomaly detection method for magnetically controlled pole-mounted circuit breakers based on excitation current waveform recording. It establishes charge quantity models corresponding to active closing, active opening, and manual opening, providing scientific and accurate benchmark data for subsequent judgment of the circuit breaker's operating status. By setting the waveform recording trigger conditions for the excitation current, it can promptly capture important signal changes closely related to the circuit breaker's operating state, ensuring that the waveform data effectively reflects the actual operating process. A specific waveform acquisition cycle ensures sufficient and complete current data for analysis, helping to comprehensively understand the circuit state at the moment of circuit breaker operation and before and after, improving the accuracy and reliability of anomaly detection. By comparing the stored waveform data with the established charge quantity models and performing detection under different waveform trigger conditions and circuit breaker position change scenarios, non-intrusive fault tracing is achieved by extracting the time-frequency domain characteristic parameters of the magnetic control coil excitation current. This method can accurately identify magnetic holding force attenuation or surge interference, determining the cause of the magnetically controlled pole-mounted circuit breaker's unauthorized tripping. Attached Figure Description

[0041] The solutions and advantages of this application will become clear to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of the invention.

[0042] In the attached diagram:

[0043] Figure 1 This is a structural diagram of the magnetically controlled pole-mounted circuit breaker anomaly detection system of the present invention;

[0044] Figure 2 This is a flowchart illustrating the abnormal detection method for magnetically controlled pole-mounted circuit breakers according to the present invention. Detailed Implementation

[0045] Exemplary embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings.

[0046] Example

[0047] This embodiment provides an abnormal detection system for a magnetically controlled pole-mounted circuit breaker based on excitation current waveform recording, including a switching drive circuit, a current sampling unit, an ADC conversion unit, a circuit breaker position signal detection unit, a waveform recording data storage unit, and an MCU processor.

[0048] like Figure 1 As shown, the opening and closing drive circuit specifically includes IBGT transistors Q1-Q4 and energy storage capacitor C1, as follows: Figure 1 As shown, the IBGT transistors Q1-Q4 form a series-parallel circuit, and the energy storage capacitor C1 is connected in parallel to the series circuit of the IBGT transistors. The opening and closing drive circuit is used to drive and control the magnetically controlled pole-mounted circuit breaker to perform opening or closing actions.

[0049] The current sampling unit is a current sampling resistor or a Hall effect current sensor, and is electrically connected to the series circuit of two IBGT transistors in the opening and closing drive circuit. The current sampling unit is used to sample and acquire the electrical signal of the excitation current of the magnetically controlled circuit breaker.

[0050] The ADC conversion unit is electrically connected to the output terminal of the current sampling unit and is used to convert the analog current signal sampled and acquired by the current sampling unit into a digital signal and transmit it to the MCU processor.

[0051] The MCU processor is electrically connected to the ADC conversion unit, the circuit breaker position signal detection unit, and the waveform data storage unit. The circuit breaker position signal detection unit is used to detect the opening and closing status of the circuit breaker body, and the waveform data storage unit is used to store the waveform data of the excitation current signal. The MCU processor is used to acquire the control command signal of the magnetically controlled circuit breaker, and to receive the opening and closing status of the magnetically controlled circuit breaker body and the waveform data for processing and analysis, to determine the abnormal opening and closing action of the magnetically controlled circuit breaker, and to issue a demagnetization alarm.

[0052] The magnetically controlled excitation coil inside the magnetically controlled pole-mounted circuit breaker body is electrically connected between the IBGT transistor series and parallel circuit of the opening and closing drive circuit.

[0053] The magnetically controlled pole-mounted circuit breaker anomaly detection system is installed inside the feeder terminal unit (FTU). When the FTU controls the magnetically controlled pole-mounted circuit breaker, the entire system operates as follows:

[0054] When the FTU issues a closing command to control the circuit breaker body to close, the current flows through the positive terminal of the drive power supply (380V) → Q1 → magnetically controlled excitation coil (LA, LB, LC) → Q4 → R2 → negative terminal of the drive power supply (HGND). The current sampling resistor R2 of the current sampling unit generates an analog voltage signal, which is transmitted to the ADC conversion unit.

[0055] When the FTU issues a tripping command to control the circuit breaker body to trip, the current flows through the positive terminal of the drive power supply (380V) → Q3 → magnetically controlled excitation coil (LA, LB, LC) → Q2 → R1 → negative terminal of the drive power supply (HGND). An analog voltage signal is generated on the current sampling resistor R1 of the current sampling unit and transmitted to the ADC conversion unit.

[0056] When the magnetically controlled circuit breaker is subjected to surge interference and mistakenly sends a trip signal, the current sampling resistor R1 will also generate an analog voltage signal. If the duration of the surge interference is short, it is not enough to cause the mechanism to trip, but it will cause the magnetic control mechanism to demagnetize. After several times, the magnetic holding force may be insufficient to support the circuit breaker to continue to remain closed, and the circuit breaker will trip. If the surge interference lasts for a long time, it will directly cause the circuit breaker to trip.

[0057] When the circuit breaker is manually operated to perform a hard circuit breaker trip, the moving and stationary magnets of the magnetic control mechanism will be separated by force, and the magnetic field will change abruptly. According to Faraday's law of electromagnetic induction, a large induced electromotive force will be generated on the magnetic control excitation coil. The polarity of the induced electromotive force is negative on the left and positive on the right. This induced electromotive force will be discharged through the circuit breaker tripping drive circuit. The discharge current path is: right end of magnetic control excitation coil → Q3 → energy storage capacitor (C1) → HGND → R1 → Q2 → left end of magnetic control excitation coil. During this process, a negative voltage signal is generated on the current sampling resistor R1, and this signal is sent to the ADC conversion unit.

[0058] When the magnetic holding force is not stable enough and the magnetic force gradually fades, causing a trip, a negative voltage signal will also be generated on R1. However, since the magnetic force has faded significantly, the magnetic field strength will be weaker. At this time, the amplitude of the negative voltage signal on R1 will be much smaller than the signal generated by manually operating the trip handle to perform a hard trip.

[0059] The MCU processor controls the ADC conversion unit to perform analog-to-digital conversion on the analog voltage signal. The sampling frequency is consistent with the system power frequency AC signal frequency of the MCU processor, which is 50*256Hz, that is, 256 samples are taken within each 20ms cycle. When the circuit breaker body signal changes or voltage appears on R1 of the current sampling unit for no reason, waveform recording is triggered immediately. The waveform data of the first 4 cycles (4*20ms) and the last 8 cycles (8*20ms) after the change are stored in the waveform data storage unit.

[0060] Based on the aforementioned magnetically controlled pole-mounted circuit breaker anomaly detection system, this embodiment provides a method for anomaly detection of magnetically controlled pole-mounted circuit breakers based on excitation current recording. The method uses an MCU processor to process and analyze the recorded data from the recording data storage unit to determine the cause of the circuit breaker's operation or to issue a demagnetization alarm. See also... Figure 2 The specific implementation steps of the method are as follows:

[0061] S1. Establish charge quantity models for the active closing, active opening, and manual opening of the magnetically controlled pole-mounted circuit breaker, respectively. The specific method is as follows:

[0062] S1.1 Determine the control times for active closing control, active opening control, and manual opening control respectively; the control time for active closing is Th, the control time for active opening is Tf, and the control time for manual opening control is Ts.

[0063] S1.2 Calculate the sampling time of a single sampling within a unit cycle time, and determine the number of sampling points for the control time of active closing control, active opening control and manual operation opening respectively.

[0064] The sampling time TS for a single sampling is equal to the unit cycle time divided by the sampling frequency.

[0065] The number of sampling points for the control time of the active closing control is Nh = Th / TS;

[0066] The number of sampling points for the control time of the active tripping control is Nf = Tf / TS;

[0067] The number of sampling points for the control time of the manual operation tripping is Ns = Ts / TS.

[0068] S1.3. Based on the number of sampling points during the active closing control, active opening control, and manual operation opening control time, obtain the current data of all sampling points for active closing control, active opening control, and manual operation opening control, respectively.

[0069] The sampling point current data for the active closing control is Ih(n); the sampling point current data for the active opening control is If(n); and the sampling point current data for the manual opening operation is Is(n).

[0070] S1.4 Based on the number of sampling points from the start of waveform recording to the end of control time, the charge quantity models for active closing control, active opening control and manual operation opening are obtained according to the current data of the sampling points, which are the corresponding charge quantity data.

[0071] The formula for calculating the charge is:

[0072] ,

[0073] ,

[0074] ,

[0075] In the formula, Qh0 The charge quantity model for active closing control; Qf0 The charge quantity model for active tripping control; Qs0 A charge quantity model for manual circuit breaker tripping; Ih(n) This represents the sampling point current data for active closing control; If(n) This represents the sampling point current data for active tripping control; Is(n) This represents the sampling point current data for manual circuit breaker tripping. TS Indicates the sampling time for a single sample; N0 This indicates the number of sampling points before the start of waveform recording; Nh The number of sampling points for the control time of the active closing control; Nf The number of sampling points for the control time of the active tripping control; Ns The number of sampling points for the control time of manual operation tripping.

[0076] S2. Initialize and set the recording trigger conditions and recording acquisition cycle of the excitation current, and store the recording data based on the recording trigger conditions; the recording trigger conditions are the circuit breaker position change information or the electrical signal response of the sampling resistor; the recording acquisition cycle includes 4 cycles before the recording start time and 8 cycles after the recording start time.

[0077] S3. Based on the waveform recording triggering conditions, the stored waveform recording data is compared with the established charge quantity models corresponding to active closing control, active opening control, and manual operation opening to perform abnormal detection of the opening and closing actions of the magnetically controlled pole-mounted circuit breaker and determine the cause of the abnormal action. The specific method is as follows:

[0078] When the waveform recording trigger condition is a circuit breaker position change signal, if there is an active closing control command and the circuit breaker position change signal changes from open to closed, then the charge quantity model of the active closing control is compared with the charge quantity data of the closing action calculated from the waveform recording data to confirm the comparison result. The specific method is as follows:

[0079] The charge data Qh for the closing action is calculated based on the recorded waveform data. The charge data Qh is then compared with the charge model Qh0 for active closing control. If the charge data Qh falls within the limit range of the charge model Qh0, the closing circuit of the circuit breaker magnetic control mechanism is normal; if it does not fall within the limit range of the charge model Qh0, the closing circuit of the circuit breaker magnetic control mechanism is abnormal.

[0080] The charge data of the closing action .

[0081] The lower limit of the restricted interval is the product of the charge quantity model and the lower limit threshold coefficient; the upper limit of the restricted interval is the product of the charge quantity model and the upper limit threshold coefficient. In specific applications, the lower limit threshold coefficient is 0.8 and the upper limit threshold coefficient is 1.2.

[0082] If an active tripping control command exists and the circuit breaker position signal changes from closed to open, then the charge quantity model of the active tripping control is compared with the charge quantity data of the tripping action calculated from the waveform data to confirm the comparison result. The specific method is as follows:

[0083] The charge amount data Qf for the tripping action is calculated based on the recorded waveform data. The charge amount data Qf is compared with the charge amount model Qf0 of the active tripping control. If the charge amount data Qf falls within the limit range of the charge amount model Qf0, the tripping circuit of the circuit breaker magnetic control mechanism is normal; if it does not fall within the limit range of the charge amount model Qf0, the tripping circuit of the circuit breaker magnetic control mechanism is abnormal.

[0084] The charge data of the tripping action .

[0085] If there is no control command and the circuit breaker position change signal changes from closed to open, then compare the charge quantity model of the manual operation tripping with the charge quantity data of the tripping action calculated from the recorded waveform data to confirm the comparison result. The specific method is as follows:

[0086] The charge data Qs of the tripping action is calculated based on the recorded waveform data. This charge data Qs is then compared with the charge model Qs0 of the manual tripping action. ;

[0087] If the charge data Qs is less than 0 and falls within the limit range of the charge model Qs0, then it is a manual hard circuit breaker.

[0088] If the charge data Qs is less than 0 and its absolute value is less than the absolute value of the lower limit of the limit range of the charge model Qs0, then the magnetic holding force of the circuit breaker's magnetic control mechanism is abnormal, and the circuit breaker trips unexpectedly due to the demagnetization of the magnetic control mechanism.

[0089] If the charge data Qs is greater than 0, it indicates an abnormal surge interference and the circuit breaker on the magnetic control column trips unexpectedly.

[0090] Meanwhile, S3 also includes the electrical signal response of the sampling resistor when the recording trigger condition is the circuit breaker position is closed and the electrical signal of the sampling resistor is a positive current, then the magnetic holding force of the circuit breaker magnetic control mechanism is abnormal.

Claims

1. A method for detecting anomalies in a magnetically controlled pole-mounted circuit breaker based on excitation current recording, characterized in that, include: S1. Establish charge models for the magnetically controlled pole-mounted circuit breaker under active closing control, active opening control, and manual operation opening respectively. S2. Initialize and set the recording trigger conditions and recording acquisition period of the excitation current, and store the recording data based on the recording trigger conditions; the recording trigger conditions are circuit breaker position change information or electrical signal response of the sampling resistor. S3. Based on the waveform recording triggering conditions, the stored waveform recording data is compared with the established charge quantity models corresponding to active closing control, active opening control, and manual operation opening to perform abnormal detection of the opening and closing actions of the magnetically controlled pole-mounted circuit breaker and determine the cause of the abnormal action, specifically as follows: When the recording trigger condition is the circuit breaker position change signal, if there is an active closing control command and the circuit breaker position change signal changes from open to closed, then compare the charge quantity model of the active closing control with the charge quantity data of the closing action calculated by the recording data to confirm the comparison result. If there is an active tripping control command and the circuit breaker position signal changes from closed to open, then compare the charge quantity model of the active tripping control with the charge quantity data of the tripping action calculated from the waveform data to confirm the comparison result. If there is no control command and the circuit breaker position change signal changes from closed to open, compare the charge quantity model of manual operation tripping with the charge quantity data of tripping action calculated from the waveform data to confirm the comparison result. S3 also includes the electrical signal response of the sampling resistor when the recording trigger condition is the circuit breaker position is closed and the electrical signal of the sampling resistor is a positive current, then the magnetic holding force of the circuit breaker magnetic control mechanism is abnormal.

2. The method for detecting abnormalities in a magnetically controlled pole-mounted circuit breaker according to claim 1, characterized in that, The specific method for confirming the comparison results described in S3 is as follows: The charge data Qh for the closing action is calculated based on the recorded waveform data. The charge data Qh is then compared with the charge model Qh0 for active closing control. If the charge data Qh falls within the limit range of the charge model Qh0, the closing circuit of the circuit breaker magnetic control mechanism is normal; if it does not fall within the limit range of the charge model Qh0, the closing circuit of the circuit breaker magnetic control mechanism is abnormal. The charge amount data Qf for the tripping action is calculated based on the recorded waveform data. The charge amount data Qf is compared with the charge amount model Qf0 of the active tripping control. If the charge amount data Qf falls within the limit range of the charge amount model Qf0, the tripping circuit of the circuit breaker magnetic control mechanism is normal; if it does not fall within the limit range of the charge amount model Qf0, the tripping circuit of the circuit breaker magnetic control mechanism is abnormal. The charge amount Qs for the tripping action is calculated based on the recorded waveform data, and then compared with the charge amount model Qs0 for manual tripping. If the charge data Qs is less than 0 and falls within the limit range of the charge model Qs0, then it is a manual hard circuit breaker. If the charge data Qs is less than 0 and its absolute value is less than the absolute value of the lower limit of the limit range of the charge model Qs0, then the magnetic holding force of the circuit breaker magnetic control mechanism is abnormal. If the charge data Qs is greater than 0, it indicates an abnormal surge interference.

3. The method for detecting abnormalities in a magnetically controlled pole-mounted circuit breaker according to claim 1, characterized in that, The specific method for establishing the charge quantity models of the magnetically controlled pole-mounted circuit breaker under active closing control, active opening control, and manual operation opening, as described in S1, is as follows: S1.1 Determine the control times for active closing control, active opening control, and manual opening control respectively; S1.2 Calculate the sampling time of a single sampling within a unit cycle time, and determine the number of sampling points for the control time of active closing control, active opening control and manual operation opening respectively. S1.

3. Based on the number of sampling points during the active closing control, active opening control, and manual operation opening control time, obtain the current data of all sampling points for active closing control, active opening control, and manual operation opening control, respectively. S1.

4. Based on the number of sampling points from the start of waveform recording to the end of the control time, the charge quantity models for active closing control, active opening control and manual operation opening are obtained according to the current data of the sampling points, which are the corresponding charge quantity data.

4. The method for detecting abnormalities in a magnetically controlled pole-mounted circuit breaker according to claim 3, characterized in that, The formulas for the charge quantity models of the active closing control, active opening control, and manual operation opening are as follows: ， ， ， In the formula, Qh0 The charge quantity model for active closing control; Qf0 The charge quantity model for active tripping control; Qs0 A charge quantity model for manual circuit breaker tripping; Ih(n) This represents the sampling point current data for active closing control; If(n) This represents the sampling point current data for active tripping control; Is(n) This represents the sampling point current data for manual circuit breaker tripping. TS Indicates the sampling time for a single sample; N0 This indicates the number of sampling points before the start of waveform recording; Nh The number of sampling points for the control time of the active closing control; Nf The number of sampling points for the control time of the active tripping control; Ns The number of sampling points for the control time of manual operation tripping.

5. The method for detecting abnormalities in a magnetically controlled pole-mounted circuit breaker according to claim 1, characterized in that, The waveform acquisition period includes several cycles before the start of waveform recording and several cycles after the start of waveform recording.

6. The method for detecting abnormalities in a magnetically controlled pole-mounted circuit breaker according to claim 2, characterized in that, The lower limit of the restricted interval is the product of the charge quantity model and the lower limit threshold coefficient; the upper limit of the restricted interval is the product of the charge quantity model and the upper limit threshold coefficient.

7. A magnetically controlled pole-mounted circuit breaker anomaly detection system based on excitation current recording, applied to the magnetically controlled pole-mounted circuit breaker anomaly detection method based on excitation current recording as described in any one of claims 1-6, characterized in that, include: The opening and closing drive circuit is used to drive and control the magnetically controlled pole-mounted circuit breaker to perform opening or closing actions. The current sampling unit is used to sample and acquire the electrical signal of the excitation current of the magnetically controlled circuit breaker. The ADC conversion unit is used to convert the analog current signal sampled by the current sampling unit into a digital signal and transmit it to the MCU processor. The circuit breaker position signal detection unit is used to detect the opening and closing status of the circuit breaker body on the magnetic control column; A waveform data storage unit is used to store waveform data of the excitation current; The MCU processor is used to acquire control command signals from the magnetically controlled pole-mounted circuit breaker, and to receive and analyze the opening and closing status and waveform data of the magnetically controlled pole-mounted circuit breaker body to determine abnormal opening and closing actions of the magnetically controlled pole-mounted circuit breaker and issue a demagnetization alarm.

8. The abnormal detection system for a magnetically controlled pole-mounted circuit breaker according to claim 7, characterized in that, The opening and closing drive circuit includes IBGT transistors Q1-Q4 and energy storage capacitor C1. The IBGT transistors Q1-Q4 form a series-parallel circuit, and the energy storage capacitor C1 is connected in parallel to the series circuit of the IBGT transistors.

9. The abnormal detection system for a magnetically controlled pole-mounted circuit breaker according to claim 7, characterized in that, The current sampling unit is a current sampling resistor or a Hall effect current sensor.

Images