Visual intelligent electrical loop automatic test system and test method thereof

By integrating an intelligent electrical circuit automatic testing system and combining it with broadband impedance spectrum analysis technology, the system enables automated testing and precise fault location of smart grid ring network cabinets. This solves the problems of low efficiency, frequent misjudgments, and data management deficiencies in traditional testing methods, thereby improving testing efficiency and diagnostic accuracy.

CN120972034APending Publication Date: 2025-11-18NANJING YADIAN POWER AUTOMATION CO LTD

Patent Information

Application Number
CN202511477538.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-16
Publication Date
2025-11-18

AI Technical Summary

Technical Problem

Traditional electrical circuit testing methods are inefficient, prone to errors due to manual operation, rely on paper records for test results, lack historical data comparison capabilities, and are difficult to meet the complex testing needs of smart grids.

Method used

The system employs a visualized intelligent electrical circuit automatic testing system, which integrates a main control unit, a multi-channel signal acquisition unit, a broadband impedance spectrum analysis unit, an automatic switching circuit unit, a communication unit, and a human-machine interaction unit to achieve automated testing and data visualization. It combines broadband impedance spectrum analysis technology for fault location, supports Bluetooth 5.0 and Wi-Fi 6 communication, and uploads data to the cloud platform.

Benefits of technology

It has achieved automated testing of multiple bays of ring main units, improving testing efficiency several times over, accurately locating fault points, avoiding misjudgments, and digitizing data management, thereby improving testing efficiency and the reliability of diagnostic results.

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Abstract

The invention discloses a visual intelligent electrical loop automatic test system and a test method thereof, and belongs to the technical field of circuit testing, and the system comprises a main control unit, a multipath signal acquisition unit, a broadband impedance spectroscopy analysis unit, an automatic switching circuit unit, a communication unit and a man-machine interaction unit. The multi-path signal acquisition unit is connected with the main control unit and is used for synchronously acquiring voltage and current signals of a ring main unit control loop, a remote signaling loop and a remote measuring loop; the multipath signal acquisition unit comprises a voltage detection unit, a current detection unit and a control loop disconnection detection unit. The broadband impedance spectroscopy analysis technology is applied to loop fault positioning, millimeter-level accurate positioning of faults such as poor contact and short circuit can be achieved, the pain point that problems are difficult to find is fundamentally solved, and for complex faults such as motor stalling, double criteria of a current curve and a rotating speed signal are adopted, so that accurate positioning of the faults is achieved. Misjudgment possibly caused by single current detection is effectively avoided, and the diagnosis result is more reliable.
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Description

Technical Field

[0001] This invention relates to the field of circuit testing technology, and in particular to a visual intelligent electrical circuit automatic testing system and its testing method. Background Technology

[0002] With the deepening of smart grid construction, the State Grid Corporation of China has introduced standardized ring main unit technical specifications, equipped with integrated secondary modules and bay operation modules, all using 32+1 core rectangular aviation connectors. Traditional testing methods relying on multimeters or single-function testing tools are no longer sufficient to meet complex comprehensive testing needs, and the following prominent problems exist: 1. Low testing efficiency: Operators need to manually switch frequently between different test interfaces, and repetitive operations increase the risk of human error; 2. Difficulty in troubleshooting: When a circuit malfunction occurs, it relies on manual testing of each circuit using a multimeter, resulting in low repair efficiency; 3. Data management deficiencies: The test results rely on paper records, which poses a risk of misrecording and lacks the function of comparing historical data. Summary of the Invention

[0003] The purpose of this invention is to solve the problems existing in the prior art by proposing a visual intelligent electrical circuit automatic testing system and its testing method.

[0004] To achieve the above objectives, the present invention adopts the following technical solution: A visual intelligent electrical circuit automatic testing system includes a testing system, which comprises a main control unit, a multi-channel signal acquisition unit, a broadband impedance spectrum analysis unit, an automatic switching circuit unit, a communication unit, and a human-machine interaction unit. The multi-channel signal acquisition unit is connected to the main control unit and is used to synchronously acquire voltage and current signals from the ring main unit control circuit, remote signaling circuit, and remote measurement circuit. The multi-channel signal acquisition unit includes a voltage detection unit, a current detection unit, and a control loop disconnection detection unit; The broadband impedance spectrum analysis unit is connected to the main control unit. The broadband impedance spectrum analysis unit injects a broadband sweep signal of 10Hz to 1MHz into the circuit under test and generates an impedance spectrum based on the collected response signal to locate the fault point in the circuit. The automatic switching circuit unit is connected to the main control unit and is used to automatically switch the external standard test source to each test bay of the ring network cabinet. The communication unit is connected to the main control unit and is used to upload test data to the cloud platform; The human-machine interaction unit is connected to the main control unit and includes an LCD screen for providing a visual operation interface and displaying test results, fault indications, and circuit status.

[0005] As a preferred embodiment, the current detection unit is used for: Real-time monitoring of the current curves of the opening and closing coils and the energy storage motor; The monitored current curve is compared with the pre-stored standard curve. When the current continuously exceeds the threshold and the speed sensor signal indicates that the speed is zero, it is determined to be a stall fault.

[0006] As a preferred embodiment, the control loop disconnection detection unit is used for: If the control circuit current is detected to be zero after the closing command is issued, it is determined that the control circuit is disconnected. The disconnection alarm signal is triggered by monitoring the state changes of the position relay contacts and combining this with the closing of the normally closed contacts after the relay loses power.

[0007] As a preferred embodiment, the broadband impedance spectrum analysis unit performs fault location and type identification in the following manner: Calculate the frequency interval Δf between adjacent resonant peaks on the impedance amplitude curve, and calculate the distance to the fault point according to the calculation formula; formula: ; in: d: Distance from the measuring end to the fault point; v: The speed at which electromagnetic waves propagate in a specific cable; Δf: The frequency difference between adjacent peaks or valleys on the impedance amplitude curve; The fault type can be determined by the trend of impedance amplitude in the low-frequency range: if it tends to infinity, it is an open circuit fault; if it tends to zero, it is a short circuit fault; and if it is in between, it is a poor contact or local aging.

[0008] As a preferred embodiment, the communication unit supports dual-mode communication of Bluetooth 5.0 and Wi-Fi 6, and supports data transmission over long distances according to the IEC60870-5-104 protocol.

[0009] As a preferred embodiment, the human-machine interaction unit also includes status indicator lights, which are used to intuitively display the energized status, fault type, and circuit abnormality; The fault types include overcurrent faults and grounding faults; The circuit anomalies include open circuit anomalies, timeout anomalies, and stall anomalies.

[0010] As a preferred embodiment, the test system further includes a transient waveform recording unit, which is used to record transient waveforms containing the first 4 and the last 8 power frequency cycles when a circuit breaker operation, a fault, or an energy storage operation occurs, and store them in COMTRADE format.

[0011] A testing method comprising the following steps: S1. Automatic wiring and quantity increase: Through the automatic switching circuit, the standard output of the relay protection tester is sequentially connected to each bay of the ring network cabinet; S2. Integrated Data Acquisition: Through the multi-channel signal acquisition unit, the electrical parameters of the control loop, remote signaling loop, and telemetry loop are acquired simultaneously; S3, Intelligent Analysis and Fault Diagnosis: a. Based on the collected voltage and current signals, determine the continuity of the circuit, the three-phase balance, and the status of components; b. Activate the broadband impedance spectrum analysis unit to accurately locate the abnormal circuit and identify the fault type; c. Compare the status of the remote signaling contacts with the actual switch position to verify the consistency of signal transmission; S4. Result visualization and data management: The test results and fault points are graphically displayed on the screen of the human-computer interaction unit, and the structured test data is uploaded to the background management system through the communication unit. S5. Fault waveform recording and event logging steps: When a fault or operation event is detected, waveform recording is automatically triggered and SOE event records are generated for subsequent fault tracing and analysis.

[0012] As a preferred embodiment, the S3 intelligent analysis and fault diagnosis also includes: recording the peak value and operating time of the opening and closing coil current, the peak value and energy storage time of the energy storage motor current; counting and storing the number of opening and closing of the switch, and ensuring that the data is not lost after the device is powered off.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This system achieves automatic and sequential incremental testing of multiple bays of ring main units through integrated "automatic switching circuit units". It changes the inefficient mode of frequent switching between different test interfaces and manual wiring in the traditional way, improves the testing efficiency by several times, and realizes one-click automated testing.

[0014] 2. This system can simultaneously acquire and analyze multiple loop signals such as control, remote signaling, and telemetry, completing test items that previously required multiple steps in one go, greatly shortening the overall debugging and maintenance time.

[0015] 3. This system applies broadband impedance spectrum analysis technology to circuit fault location, which can achieve millimeter-level accurate location of faults such as poor contact and short circuit, fundamentally solving the pain point of "difficulty in finding problems". For complex faults such as motor stall, it adopts dual criteria of current curve and speed signal, which effectively avoids misjudgment that may be caused by single current detection, and the diagnostic results are more reliable. Attached Figure Description

[0016] Figure 1 This is a framework diagram of a visual intelligent electrical circuit automatic testing system proposed in this invention; Figure 2 This is a schematic diagram illustrating the principle of broadband impedance spectrum analysis in a visual intelligent electrical circuit automatic testing system proposed in this invention. Detailed Implementation

[0017] 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. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0018] Example, refer to Figures 1 to 2 A visual intelligent electrical circuit automatic testing system and its testing method, comprising a testing system, which includes a main control unit, a multi-channel signal acquisition unit, a broadband impedance spectrum analysis unit, an automatic switching circuit unit, a communication unit and a human-machine interaction unit; The multi-channel signal acquisition unit is connected to the main control unit and is used to synchronously acquire voltage and current signals from the control loop, remote signaling loop, and remote measurement loop of the ring network cabinet. The multi-channel signal acquisition unit includes a voltage detection unit, a current detection unit, and a control loop disconnection detection unit; Furthermore; the current detection unit is used for: Real-time monitoring of the current curves of the opening and closing coils and the energy storage motor; The monitored current curve is compared with the pre-stored standard curve. When the current continuously exceeds the threshold and the speed sensor signal indicates that the speed is zero, it is determined to be a stall fault.

[0019] Specifically, the motor circuit uses a voltage detection unit with multiple voltage detection resistors to measure the voltage at various points in the circuit, determining whether the power supply and circuit operation are normal. The detection sequence starts from the power input terminal, sequentially measuring the voltage at key points such as switches, fuses, and contactors, and comparing the three-phase voltages for balance, thereby accurately locating faults in the motor circuit.

[0020] The circuit continuity is determined by the change in the contact state of the position relay, and an alarm signal is triggered by the closure of the normally closed contact of the relay when it is de-energized (when the circuit is opened, the TWJ closes due to de-energization → it is connected in series with the normally closed contact of the HWJ → forming a disconnection alarm circuit). Locked rotor in the opening and closing circuit: During normal startup, the motor current changes along a specific curve over time. However, during stall, the current rapidly rises to a relatively high value and remains there. By using a current detection unit and multiple current-sensing resistors to measure the current value and monitor the current curve in real time, stall can be identified by comparing the deviation with a standard curve.

[0021] Simultaneously, a speed sensor linked to the mechanical operating mechanism is used. When the detected speed signal value is zero and the current continues to exist, it can be confirmed that the rotor is stalled. The above method can avoid the misjudgment caused by traditional single current detection.

[0022] Furthermore; the control loop disconnection detection unit is used for: If the control circuit current is zero after the closing command is issued, it is determined that the control circuit is open. If the main circuit current is zero, it may be that the main circuit is open or the contacts are not in contact. The disconnection alarm signal is triggered by monitoring the state changes of the position relay contacts and combining this with the closing of the normally closed contacts after the relay loses power.

[0023] Secondary remote signaling loop: Identifies the status of each remote signaling channel and indicates the specific line where a remote signaling loop is faulty; It is worth noting that the state changes of contacts (such as circuit breaker position contacts) should be compared with the actual position of the switch to verify the consistency of signal transmission. Under normal circumstances, the TWJ relay is energized (green light on) when the circuit is open, and the HWJ relay is energized (red light on) when the circuit is closed. If the states do not match, a fault is determined. When simulating the opening and closing of the switch, observe whether the remote signaling signal received by the remote control device is synchronized. If signal delay, loss, or false alarm occurs, check for poor contact of the terminal block or grounding problems of the cable shielding layer.

[0024] The automatic switching circuit unit is connected to the main control unit and is used to automatically switch external standard test sources to each test bay of the ring network cabinet. Secondary telemetry circuit: A high-current terminal is designed, and the relay protection tester is connected to its current and voltage input section. This device automatically increases the current for each ring main unit. The internally designed automatic switching circuit unit automatically switches the output of the relay protection instrument to each bay, automatically determining whether the three-phase current and voltage wiring of the ring main unit (box) is correct and whether the accuracy meets the standards. When an outgoing line is abnormal, it automatically determines the specific line with the fault. The wideband impedance spectrum analysis unit is connected to the main control unit. The wideband impedance spectrum analysis unit injects a wideband sweep signal of 10Hz to 1MHz into the circuit under test and generates an impedance spectrum based on the acquired response signal to locate the fault point in the circuit. Using wideband impedance spectrum analysis technology (10Hz-1MHz), it is possible to accurately locate poor contact or short circuit faults with millimeter-level accuracy; wideband sweep frequency signals (such as 10Hz-1MHz) are injected at both ends to synchronously collect voltage / current data.

[0025] Furthermore, the broadband impedance spectrum analysis unit performs fault location and type identification in the following ways: A series of periodic "peaks" and "valleys" can be observed on the amplitude curve (|Z(f)|) of the impedance spectrum. These are the resonance peaks formed by the superposition and interference of the incident wave and the reflected wave at the fault point. Calculate the frequency interval Δf between adjacent resonant peaks on the impedance amplitude curve, and calculate the distance to the fault point using the formula: formula: ; in: d: Distance from the measuring end to the fault point.

[0026] v: The speed of electromagnetic wave propagation in a particular cable (m / s). This is a known parameter that depends on the cable's insulation material and structure (e.g., for XLPE cables, v≈1.7e8m / s).

[0027] Δf: The frequency difference (Hz) between two adjacent maxima (peaks) or minima (valleys) on the impedance amplitude curve; The fault type can be determined based on the trend of impedance amplitude in the low-frequency range: an amplitude approaching infinity indicates an open circuit fault, an amplitude approaching zero indicates a short circuit fault, and an amplitude between the two indicates poor contact or local aging. Specifically: Open circuit or disconnected terminal: The impedance amplitude tends to infinity at low frequencies, and the resonance peak starts from the minimum value.

[0028] Short circuit: The impedance amplitude approaches zero at low frequencies, and the resonance peak starts from its maximum value; Localized aging and poor contact: This falls between the two, manifesting as changes in the amplitude of the resonance peak; Electromagnetic interference: Abnormal resonance peaks or phase abrupt changes in the impedance spectrum indicate signal distortion or coupling interference; Fault diagnosis phase: Using broadband impedance spectrum analysis technology (10Hz-1MHz), the fault point of poor contact or short circuit is accurately located with millimeter-level resolution, such as phase-to-phase short circuit, single-phase grounding; transient faults and permanent faults; The instrument injects a broadband sine wave signal into the cable. When it encounters an insulation defect or structural abnormality, the impedance change will generate a reflected signal. The frequency domain impedance spectrum is converted into a time-amplitude curve through inverse Fourier transform to locate the defect.

[0029] The communication unit is connected to the main control unit and is used to upload test data to the cloud platform. The communication unit supports dual-mode communication of Bluetooth 5.0 and Wi-Fi 6, and supports data transmission via the IEC60870-5-104 protocol. It uploads structured data to the operation and maintenance cloud platform in real time and maintains bidirectional synchronization of device status data with the SCADA system.

[0030] The human-machine interface unit is connected to the main control unit and includes an LCD screen for providing a visual operation interface and displaying test results, fault indications and circuit status; the human-machine interface unit also includes status indicator lights for intuitively displaying the energized status, fault type and circuit abnormality; Fault types include overcurrent faults and ground faults; Circuit anomalies include open circuit anomalies, timeout anomalies, and stall anomalies.

[0031] Furthermore, the test system also includes a transient waveform recording unit, which is used to record transient waveforms containing the first 4 and the last 8 power frequency cycles when a circuit breaker operation, fault, or energy storage operation occurs, and store them in COMTRADE format.

[0032] ; A complete test form for SOE in a visualized intelligent electrical circuit automatic test system.

[0033] The visualized intelligent electrical circuit automatic testing method includes the following steps: Step 1, Automatic Wiring and Input: Through automatic circuit switching, the standard output of the relay protection tester is sequentially connected to each bay of the ring main unit; Specifically, after receiving the start command, the main control unit controls the multi-channel relay matrix in the automatic switching circuit unit. This relay matrix sequentially and automatically switches the standard current and voltage output signals of the external relay protection tester to the corresponding terminals of the 32+1 pin rectangular aviation connector for each test bay of the ring main unit. This process requires no manual intervention in wiring, realizing the serialized and automated pressurization and current application to multiple bays.

[0034] Step 2, Integrated Data Acquisition: Simultaneously acquire electrical parameters of the control loop, remote signaling loop, and telemetry loop through a multi-channel signal acquisition unit; Specifically, during the quantity increase process, multiple signal acquisition units are activated synchronously. The voltage detection unit, through a high-precision voltage divider resistor network, synchronously acquires voltage signals at key points in the control circuit (such as the motor power supply, the two ends of the opening and closing coils), and the telemetry circuit (PT / CT secondary side). The current detection unit, through Hall sensors or precision sampling resistors, synchronously acquires current signals flowing through the opening and closing coils, the energy storage motor, and the main circuit, and plots current-time curves in real time. Simultaneously, it acquires switching signals (on / off status) from nodes such as the circuit breaker position auxiliary contacts and pressure plate status in the remote signaling circuit.

[0035] Step 3, Intelligent Analysis and Fault Diagnosis: Based on the collected voltage and current signals, determine the circuit continuity, three-phase balance, and component status; Specifically: The main control unit compares the collected voltage and current values ​​with preset thresholds (such as rated voltage and tripping current). It determines circuit continuity: for example, after issuing a closing command, if the control circuit current is detected to be zero, it determines that the control circuit is open. It determines three-phase balance: it calculates the amplitude and phase difference of the three-phase voltage and current to determine if they exceed the unbalance limit. It verifies remote signaling consistency: it compares the collected remote signaling contact status (such as the status of TWJ and HWJ relays) with the actual switch position inferred through the operation logic; if the status does not match, it determines a remote signaling transmission fault.

[0036] Activate the broadband impedance spectrum analysis unit to accurately locate abnormal circuits and identify fault types; Specifically, when basic diagnostics detect an abnormality or require precise localization: the broadband impedance spectrum analysis unit is activated, injecting a sinusoidal signal with a frequency sweep from 10Hz to 1MHz into the cable or circuit under test. Simultaneously, incident and reflected voltage / current data are acquired, and the frequency domain impedance spectrum (impedance magnitude |Z(f)| and phase angle θ) is calculated using Fourier transform.

[0037] Locating the fault point: Identify the frequency interval Δf between adjacent resonant peaks on the impedance modulus curve, and calculate the distance to the fault point according to the formula d=v / (2Δf), where v is the propagation speed of electromagnetic waves in the cable.

[0038] Identify fault types: Analyze the impedance trend in the low-frequency range—approaching infinity indicates an open circuit, approaching zero indicates a short circuit, and values ​​in between indicate poor contact or localized aging.

[0039] Compare the status of the remote signaling contacts with the actual switch position to verify the consistency of signal transmission; Specifically, the stall detection process involves comparing the current curve of the energy storage motor collected by the current detection unit with a pre-stored standard start-up curve. Simultaneously, the speed sensor signal is checked. If the current continuously exceeds the threshold and the speed is zero, a stall condition is determined, avoiding misjudgment based solely on current criterion.

[0040] Mechanical characteristic recording: Analyze the current curves of the opening and closing coils, and record their peak current and operating duration (opening / closing time). Similarly, record the peak current and energy storage time of the energy storage motor.

[0041] Operation count: Successful opening and closing operations are counted and the results are stored in non-volatile memory to ensure that the data is not lost after power failure.

[0042] Step 4, Result Visualization and Data Management: The test results and fault points are graphically displayed on the screen of the human-computer interaction unit, and the structured test data is uploaded to the back-end management system through the communication unit. Specifically, the main control unit generates structured data from all analysis results (such as "phase A open circuit", "poor contact at 15.3 meters from the measurement point", "closing time 52ms").

[0043] This data is sent to the human-machine interaction unit and displayed intuitively on the LCD screen in the form of a graphical interface (such as a system single-line diagram, fault location diagram, and data table) and indicator lights (illuminating the corresponding overcurrent, grounding, and abnormal indicator lights).

[0044] Meanwhile, the main control unit, through the communication unit (Bluetooth 5.0 / Wi-Fi 6), uploads the structured test data to the operation and maintenance cloud platform or SCADA system in real time, in accordance with the IEC60870-5-104 and other protocols, to complete the digital storage.

[0045] Step 5, Fault Recording and Event Logging: When a fault or operational event is detected, waveform recording is automatically triggered and SOE event logs are generated for subsequent fault tracing and analysis.

[0046] Specifically, when the system detects a fault event (such as overcurrent or grounding) or an operational event (opening or closing), the transient waveform recording unit is automatically triggered. This unit records waveform data of relevant analog quantities (voltage, current) and switching quantities within the four power frequency cycles before and eight cycles after the event at a high sampling rate. The waveform recording file is stored in the standard COMTRADE format, and a time-stamped SOE (Event Sequence Record) is generated simultaneously and uploaded to the background management system for accurate fault tracing and analysis.

[0047] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A visual intelligent automatic testing system for electrical circuits, characterized in that, The system includes a testing system, which comprises a main control unit, a multi-channel signal acquisition unit, a broadband impedance spectrum analysis unit, an automatic switching circuit unit, a communication unit, and a human-machine interaction unit. The multi-channel signal acquisition unit is connected to the main control unit and is used to synchronously acquire voltage and current signals from the ring main unit control circuit, remote signaling circuit, and remote measurement circuit. The multi-channel signal acquisition unit includes a voltage detection unit, a current detection unit, and a control loop disconnection detection unit; The broadband impedance spectrum analysis unit is connected to the main control unit. The broadband impedance spectrum analysis unit injects a broadband sweep signal of 10Hz to 1MHz into the circuit under test and generates an impedance spectrum based on the collected response signal to locate the fault point in the circuit. The automatic switching circuit unit is connected to the main control unit and is used to automatically switch the external standard test source to each test bay of the ring network cabinet. The communication unit is connected to the main control unit and is used to upload test data to the cloud platform; The human-machine interaction unit is connected to the main control unit and includes an LCD screen for providing a visual operation interface and displaying test results, fault indications, and circuit status.

2. The visualized intelligent electrical circuit automatic testing system according to claim 1, characterized in that, The current detection unit is used for: Real-time monitoring of the current curves of the opening and closing coils and the energy storage motor; The monitored current curve is compared with the pre-stored standard curve. When the current continuously exceeds the threshold and the speed sensor signal indicates that the speed is zero, it is determined to be a stall fault.

3. The visualized intelligent electrical circuit automatic testing system according to claim 1, characterized in that, The control loop disconnection detection unit is used for: If the control circuit current is detected to be zero after the closing command is issued, it is determined that the control circuit is disconnected. The disconnection alarm signal is triggered by monitoring the state changes of the position relay contacts and combining this with the closing of the normally closed contacts after the relay loses power.

4. The visualized intelligent electrical circuit automatic testing system according to claim 1, characterized in that, The broadband impedance spectrum analysis unit performs fault location and type identification in the following ways: Calculate the frequency interval Δf between adjacent resonant peaks on the impedance amplitude curve, and calculate the distance to the fault point according to the calculation formula; official: ; Where: d: distance from the measuring end to the fault point; v: propagation speed of electromagnetic waves in a specific cable; Δf: frequency between adjacent peaks on the impedance amplitude curve; The fault type can be determined by the trend of impedance amplitude in the low-frequency range: an amplitude approaching infinity indicates an open circuit fault, an amplitude approaching zero indicates a short circuit fault, and an amplitude in between indicates poor contact.

5. The visualized intelligent electrical circuit automatic testing system according to claim 1, characterized in that, The communication unit supports dual-mode communication of Bluetooth 5.0 and Wi-Fi 6, and supports data transmission over long distances according to the IEC60870-5-104 protocol.

6. The visualized intelligent electrical circuit automatic testing system according to claim 1, characterized in that, The human-machine interaction unit also includes status indicator lights, which are used to intuitively display the power-on status, fault type and circuit abnormality; The fault types include overcurrent faults and grounding faults; The circuit anomalies include open circuit anomalies, timeout anomalies, and stall anomalies.

7. The visualized intelligent electrical circuit automatic testing system according to claim 1, characterized in that, The testing system also includes a transient waveform recording unit, which is used to record transient waveforms containing the first 4 and the last 8 power frequency cycles when opening and closing operations, faults, and energy storage operations occur, and to store them in COMTRADE format.

8. The test method proposed in the visual intelligent electrical circuit automatic test system according to any one of claims 1-7, characterized in that, Includes the following steps: S1. Automatic wiring and quantity increase: Through the automatic switching circuit, the standard output of the relay protection tester is sequentially connected to each bay of the ring network cabinet; S2. Integrated Data Acquisition: Through the multi-channel signal acquisition unit, the electrical parameters of the control loop, remote signaling loop, and telemetry loop are acquired simultaneously; S3, Intelligent Analysis and Fault Diagnosis: a. Based on the collected voltage and current signals, determine the continuity of the circuit, the three-phase balance, and the status of the components; b. Activate the broadband impedance spectrum analysis unit to accurately locate the abnormal circuit and identify the fault type; c. Compare the status of the remote signaling contacts with the actual switch position to verify the consistency of signal transmission; S4. Result visualization and data management: The test results and fault points are graphically displayed on the screen of the human-computer interaction unit, and the structured test data is uploaded to the background management system through the communication unit. S5. Fault waveform recording and event logging steps: When a fault or operation event is detected, waveform recording is automatically triggered and SOE event logs are generated for subsequent fault tracing and analysis.

9. The test method according to claim 8, characterized in that, The S3 intelligent analysis and fault diagnosis also includes: recording the peak value and operating time of the opening and closing coil current, the peak value and energy storage time of the energy storage motor current; counting and storing the number of opening and closing of the switch, and ensuring that the data is not lost after the device is powered off.

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