A circuit breaker mechanical characteristic test and diagnosis algorithm verification device with waveform editing function

Abstract

The application discloses a circuit breaker mechanical characteristic test and diagnosis algorithm verification device with a waveform editing function, which comprises a signal acquisition and communication module, a man-machine interaction interface, a drag-type waveform editing unit, a waveform feature self-adaptive reconstruction unit and a format storage and reading unit. The signal acquisition and communication module synchronously acquires four types of key signal waveforms during circuit breaker opening and closing operations; through graphical operation of the man-machine interaction interface, a user can drag and edit waveform feature points, the waveform feature self-adaptive reconstruction unit generates a corrected waveform according to the adjusted feature points, the format storage and reading unit stores the adjusted waveform into a standard format file, and the signal acquisition and communication module sends the standard format file to an external diagnosis system. The application integrates mechanical characteristic test and diagnosis algorithm verification functions, and solves technical problems, such as dependence of diagnosis algorithm verification on field test data, insufficient fault sample coverage and non-reproducibility in the prior art.

Description

Technical Field

[0001] This invention belongs to the field of circuit breaker mechanical characteristic testing and evaluation technology, and more specifically relates to a circuit breaker mechanical characteristic testing and diagnostic algorithm verification device with waveform editing function. Background Technology

[0002] High-voltage circuit breakers are crucial control and protection devices in power systems, and the reliability of their mechanical characteristics directly affects the safe and stable operation of the power system. During long-term operation, the circuit breaker's operating mechanism and transmission system may experience problems such as core jamming, inter-turn short circuits in the coil, insufficient travel, abnormal auxiliary switch coordination, and energy storage motor failure. In severe cases, these issues can lead to the circuit breaker refusing to operate or malfunctioning, causing power accidents.

[0003] Currently, the diagnostic analysis of circuit breaker mechanical characteristics mainly relies on four types of synchronously acquired signals: opening / closing coil current waveforms, displacement travel curves, auxiliary switch remote signaling change signals, and energy storage motor current waveforms. The opening / closing coil current waveforms reflect the movement state of the iron core and the status of its linked trip unit; the displacement travel curves reflect the movement process and travel parameters of the moving contacts; the auxiliary switch change signals reflect the timing coordination of circuit breaker state switching; and the energy storage motor current waveforms reflect the status of the energy storage system and the health of the motor. By analyzing the characteristic parameters of these waveforms, a comprehensive assessment of the circuit breaker's health status and fault diagnosis can be performed.

[0004] In existing technologies, circuit breaker mechanical characteristic testing devices complete the acquisition of the aforementioned signals and the calculation and analysis of parameters such as opening and closing time, speed, travel, and bounce time. However, these testing devices have relatively limited functionality, only providing raw waveform acquisition and basic parameter calculation, and lack the ability to generate test cases based on the acquired waveforms to verify the accuracy of the circuit breaker mechanical characteristic diagnostic analysis algorithm.

[0005] Meanwhile, after the development of circuit breaker mechanical characteristic diagnostic analysis algorithms (such as those based on wavelet transform, support vector machine, random forest, deep learning, etc.), they need to undergo thorough effectiveness verification to ensure accurate judgment and handling suggestions when circuit breakers exhibit abnormalities. Existing verification methods heavily rely on field measurement data or historical fault data, which has the following main shortcomings: field measurements depend on actual equipment failures or power outage tests, resulting in high acquisition costs and long cycles; historical data covers a limited range of fault types, making it difficult to systematically cover various typical fault scenarios; and fault modes are uncontrollable and unreproducible, making it impossible to conduct boundary testing for specific fault types and severity.

[0006] Therefore, there is an urgent need for an integrated device that can perform conventional circuit breaker mechanical characteristic tests and generate test cases on demand based on the acquired waveforms to verify the effectiveness of diagnostic algorithms. Summary of the Invention

[0007] The purpose of this invention is to provide a circuit breaker mechanical characteristic testing and diagnostic algorithm verification device with waveform editing function, so as to solve the dual problems of existing circuit breaker mechanical characteristic testing devices having limited functions and lacking diagnostic algorithm verification capabilities, as well as diagnostic algorithm verification relying heavily on field measurement data, insufficient fault sample coverage, and inability to reproduce specific fault modes as needed.

[0008] To achieve the above objectives, the technical solution adopted by this invention is as follows: a circuit breaker mechanical characteristic testing and diagnostic algorithm verification device with waveform editing function. This device includes: a signal acquisition and communication module, a human-machine interface, a drag-and-drop waveform editing unit, a waveform feature adaptive reconstruction unit, and a COMTRADE format storage and retrieval unit. The device has two working modes: a standard test mode and a verification editing mode. In the standard test mode, the device directly acquires and displays the original waveform, performs conventional circuit breaker mechanical characteristic testing functions, and can measure parameters such as opening and closing time, speed, stroke, overshoot, and peak value of the energy storage motor. In the verification editing mode, based on the acquired waveform or the built-in standard waveform, test waveforms are generated through drag-and-drop editing, and the diagnostic algorithm validity verification function is performed. Wherein:

[0009] The signal acquisition and communication module is used to synchronously acquire the opening / closing coil current waveforms, displacement stroke curves, auxiliary switch position signals, and energy storage motor current waveforms during circuit breaker opening / closing operations. It can also transmit the waveform data to the circuit breaker mechanical characteristic diagnostic system via the communication module. This module's input is equipped with signal conditioning and synchronous sampling circuits to ensure timing consistency. Specifically: it acquires the opening / closing coil circuit current waveforms using clamp-on Hall effect current sensors; it acquires the displacement stroke curves of the output shaft linked to the moving contact using linear or angular displacement sensors; it obtains the circuit breaker's opening and closing position remote signaling signals by acquiring the on / off status of the circuit breaker's auxiliary switch dry contacts; and it acquires the energy storage motor circuit current waveforms using clamp-on current sensors. Since the circuit breaker's operating time is in the millisecond range and the energy storage motor's energy storage time is in the minute range, the circuit breaker operating waveforms and energy storage motor current waveforms are stored separately, and both data files are stored in standard COMTRADE format. Then, the data is sent to the human-machine interface and the circuit breaker mechanical characteristic diagnostic system via the communication module subunit.

[0010] The human-machine interface uses a high-resolution touch screen to graphically overlay the opening / closing coil current waveforms, displacement travel curves, and auxiliary switch remote signaling changes on the same time axis. Since the energy storage motor current duration is much longer than the circuit breaker operating time, the energy storage motor current waveform is displayed separately. The interface also provides mode switching controls, allowing users to easily switch between standard test mode and verification editing mode, enabling drag-and-drop editing of waveforms.

[0011] The drag-and-drop waveform editing unit is used to dynamically adjust the parameters of feature points or selected points through drag-and-drop operations. These parameters include amplitude parameters and / or time parameters. This unit includes a feature point recognition subunit and an amplitude adjustment subunit. The feature point recognition subunit automatically extracts waveform feature points using zero-crossing detection and slope change detection algorithms. The amplitude adjustment subunit responds to user drag operations along the amplitude axis, modifying the amplitude parameters of the feature points or selected points. Simultaneously, the time adjustment subunit responds to user drag operations along the time axis, modifying the time coordinates corresponding to the feature points or selected points, and the auxiliary switch displacement timing can be independently modified via the auxiliary switch displacement adjustment module.

[0012] The waveform feature adaptive reconstruction unit is used to generate a continuous and smooth waveform based on the adjusted waveform feature points or selected points using a cubic spline interpolation algorithm, in accordance with the laws of physical continuity. For auxiliary switch displacement signals, a step function is used for reconstruction.

[0013] The COMTRADE format storage and retrieval unit is used to encapsulate the adjusted waveform data into a standard COMTRADE format file for storage and retrieval, making it easy for third-party waveform analysis tools to directly read and analyze the data, thus giving the data good universality and exchangeability.

[0014] Compared with the prior art, the present invention has at least the following beneficial technical effects: (1) High functional integration and dual-purpose functionality. This invention integrates the circuit breaker mechanical characteristic testing function with the diagnostic algorithm validity verification function. In the standard test mode, the device can completely replace the traditional circuit breaker mechanical characteristic tester; in the verification editing mode, the device can generate test cases by dragging and dropping based on the acquired waveform or standard waveform, providing a systematic verification method for the diagnostic algorithm.

[0015] (2) The verification method is controllable, quantifiable and reproducible. Through the drag-and-drop waveform editing unit, the characteristic points or selected points of the signal waveform can be adjusted (such as increasing the peak value of the coil current, delaying the start-up time of the iron core, shortening the contact stroke, changing the switching sequence of the auxiliary switch, adjusting the current amplitude of the energy storage motor, etc.), and a test waveform library covering different fault types and different degrees of severity can be generated as needed, which solves the problem that traditional verification methods rely on on-site faults and the samples are uncontrollable.

[0016] (3) Standardized data format, open and compatible. This device uses the COMTRADE format, which conforms to national standards, to uniformly store the original waveforms and edited waveforms, ensuring the standardization and universality of the data. This facilitates direct reading, comparison and further analysis by third-party waveform analysis tools, and is conducive to data sharing and collaborative verification between multiple platforms.

[0017] (4) The operation is intuitive and convenient. The human-machine interface displays the waveforms of the opening / closing coil current, stroke, and auxiliary switch status on the same time axis, while the energy storage motor current waveform is displayed separately. Testers can intuitively view the timing relationship of each waveform and adjust feature points or select points by dragging and dropping, which reduces the technical threshold for operators.

[0018] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0019] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application 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 some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0022] Figure 1 This is a schematic diagram of the overall structure of the device.

[0023] Figure 2 This is a schematic diagram of the dual operating modes of this device.

[0024] Figure 3 This is a schematic diagram of the characteristic points of the opening / closing coil current waveform.

[0025] Figure 4 This is a schematic diagram of the characteristic points of the displacement stroke curve.

[0026] Figure 5 This is a schematic diagram of the characteristic points of the current waveform of the energy storage motor.

[0027] Figure 6 This is a schematic diagram of the auxiliary switch position change.

[0028] Figure 7 This is a flowchart of the device's operation.

[0029] In the picture: 1-Signal acquisition and communication module; 11-Data acquisition subunit; 12-Communication module subunit; 2- Human-computer interaction interface; 21- Mode switching control; 3-Drag-and-drop waveform editing unit; 31-Feature point recognition subunit; 32-Amplitude adjustment subunit; 33-Time adjustment subunit; 34-Auxiliary switch displacement adjustment module; 4-Waveform feature adaptive reconstruction unit; 41-Interpolation reconstruction sub-unit; 5 - COMTRADE format storage and retrieval unit; 51 - CFG file generation subunit; 52 - DAT file generation subunit. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0031] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0032] Example 1 (Overall structure and dual working modes of the device): like Figure 1 and Figure 2 As shown in the figure, this embodiment provides a circuit breaker mechanical characteristic testing and diagnostic algorithm verification device with waveform editing function, including a signal acquisition and communication module 1, a human-machine interface 2, a drag-and-drop waveform editing unit 3, a waveform feature adaptive reconstruction unit 4, and a COMTRADE format storage and retrieval unit 5.

[0033] Signal acquisition and communication module 1 is the data acquisition and communication part of this device. This module is configured with multiple synchronous sampling channels, each used for data acquisition: Opening / closing coil current waveform: The opening / closing coil current waveform is collected by a Hall current sensor at the opening and closing time, reflecting the movement state of the iron core and the health of the coil itself; Displacement travel curve: The displacement travel of the moving contact of the circuit breaker is collected by a linear displacement sensor or an angular displacement sensor, reflecting the entire movement process of the moving contact; Auxiliary switch remote signal change: Collects the dry contacts of the circuit breaker's auxiliary switch to reflect the timing of the circuit breaker's open and closed position switching. Energy storage motor current waveform: The current of the energy storage motor is collected by a clamp-on current sensor to reflect the energy storage process of the circuit breaker and the working status of the energy storage motor.

[0034] Four types of signals are sampled synchronously under the same clock source, with a sampling frequency of no less than 10kHz to ensure timing consistency. The module also includes a communication module subunit 11, which supports Ethernet, RS-232 / RS-485 serial communication and USB interface, used to send raw waveform data or edited waveform data to an external circuit breaker characteristic diagnostic system.

[0035] The human-machine interface 2 uses a high-resolution touch-screen LCD display, which combines display and operation functions. The waveforms of the opening / closing coil current, travel, and auxiliary switch status are superimposed on the same time axis, while the energy storage motor current waveform is displayed separately. The interface has a mode switching control 21, which allows users to select between "standard test mode" and "verification editing mode" with a single click.

[0036] The drag-and-drop waveform editing unit 3 is the core functional unit in the verification editing mode, including feature point recognition subunit 31, amplitude adjustment subunit 32, time adjustment subunit 33 and auxiliary switch displacement adjustment module 34.

[0037] Feature point recognition subunit 31 employs zero-crossing detection and slope change detection algorithms to automatically extract features from four types of signal waveforms: The opening / closing coil current waveform (e.g.) Figure 3 As shown): Identify the coil energization start time t0, the core start movement time t1 (current trough), the core stop time t3 (current peak), and the coil de-energization time t4, and simultaneously extract the peak current I1 and steady-state current I3; Displacement-stroke curve (e.g.) Figure 4 As shown): The point of separation or union, S1, the end point of travel, and the overshoot point, S3, are extracted through displacement threshold test and slope change test. Energy storage motor current waveform (e.g.) Figure 5 As shown): The motor starting time tm0, current peak tm1, steady-state operation time point tm2, and motor power-off time tm3 are identified through zero-sequence testing, while the starting current peak Ip and steady-state current Im are extracted. Auxiliary switch remote signaling change signal (such as Figure 6 As shown): By identifying the position of the auxiliary switch remote signal 0 and 1 changes in the waveform file, the time coordinate of the flip edge of the auxiliary switch remote signal change can be determined.

[0038] The amplitude adjustment subunit 32 responds to the user's drag operation in the amplitude axis direction (vertical direction) to modify the amplitude parameters of feature points or selected points; The time adjustment subunit 33 responds to the user's drag operation in the time axis direction, modifying the time coordinates of feature points or selected points.

[0039] The auxiliary switch position adjustment module 34 can independently modify the flipping time of the auxiliary switch remote signaling position to simulate different auxiliary switch action sequences.

[0040] The waveform feature adaptive reconstruction unit 4 includes a spline interpolation reconstruction subunit 41. When the user adjusts a feature point or selects a point, the affected waveform segment interval is automatically identified based on the influence range parameter on the parameter panel. A cubic spline interpolation algorithm is used to smoothly reconstruct adjacent data points, ensuring the continuity of the reconstructed waveform. For auxiliary switch position signals, a step function is used for reconstruction.

[0041] The COMTRADE format storage and retrieval unit 5 includes a CFG file generation subunit 51 and a DAT file generation subunit 52. Regardless of whether in standard test mode or verification editing mode, the circuit breaker action waveform data and the energy storage motor current waveform data are stored as configuration files (.cfg) and data files (.dat) generated in accordance with the GB / T 14598.24-2017 standard.

[0042] For the circuit breaker action waveform, the CFG file records the following: number of sampling channels, sampling frequency of each channel, channel name ("coil current", "contact travel", "auxiliary switch status"), transformation ratio coefficient and bias amount, etc.

[0043] For the energy storage motor current waveform, the stored current data is the effective value of the current. The CFG file records the following information: number of sampling channels, waveform frequency, channel name ("energy storage motor current", "auxiliary switch status"), transformation ratio coefficient, and bias value.

[0044] Example 2 (Typical Workflow): like Figure 7 As shown, the working process of this device is as follows: ①Standard test mode procedure: Step 1: Signal acquisition and communication module 1 synchronously acquires four types of signal waveforms when the circuit breaker performs opening or closing operations.

[0045] Step 2: The human-computer interaction interface 2 displays the original waveform.

[0046] Step 3: The device automatically calculates and displays mechanical characteristic parameters such as opening and closing time, speed, stroke, bounce time, and energy storage motor working time.

[0047] Step 4: The COMTRADE format storage and retrieval unit 5 encapsulates the waveform data into a standard COMTRADE format file for storage.

[0048] Step 5: Send the waveform data to the human-machine interface 2 or an external diagnostic system for analysis or data archiving via the communication module.

[0049] ②Verification of editing mode process: Step 1: Based on the raw waveform data obtained in the standard test mode, the user switches to the verification and editing mode through the mode switching control 21. The user can select the current waveform, historical waveform, or stored standard waveform for editing.

[0050] Step 2: Feature point recognition subunit 31 uses zero-crossing detection and slope change detection algorithms to automatically extract feature points of the waveform and highlight them on the human-computer interaction interface 2.

[0051] Step 3: Testers manually edit the simulation based on the desired fault type using touch and drag-and-drop functionality. Typical fault simulations include, but are not limited to: Iron core jamming fault A: The moment t1 when the dragged iron core starts moving is shifted to the right, prolonging the iron core start-up time; Inter-turn short circuit B in the coil: drags the peak current I1 of the coil upward, increasing the current amplitude; Insufficient contact travel C: The end point of the drag displacement travel S2 shifts downward, reducing the travel value; Auxiliary switch coordination abnormality D: The timing relationship between the remote signaling change time of the auxiliary switch and the point where the main contact just opens / closes has been changed; Energy storage motor fault E: Peak current of dragged energy storage motor I p Shifting upwards or extending the motor's operating time simulates motor overload or jamming.

[0052] Step 4: The waveform feature adaptive reconstruction unit 4 uses a cubic spline interpolation algorithm to smoothly reconstruct the affected waveform segment based on the adjusted feature points or selected points, generating the adjusted complete waveform. For auxiliary switch displacement signals, a step function is used for reconstruction.

[0053] Step 5: The COMTRADE format storage and retrieval unit 5 encapsulates the adjusted waveform data into a standard COMTRADE format file and stores it.

[0054] Step 6: Signal acquisition and communication module 1 sends the adjusted COMTRADE format waveform data to the circuit breaker mechanical characteristic diagnostic system to be verified through the communication module.

[0055] Step 7: The tester compares the diagnostic results of the diagnostic system on the adjusted waveform with the manually set fault characteristics to evaluate the effectiveness of the diagnostic algorithm.

[0056] Example 3 (Extended Fault Simulation Test Cases): In addition to the typical faults described in Example 2, this device can also simulate the following more complex combinations of faults, such as: Test Case F – Composite Fault Simulation: Simultaneously dragging the core to delay the start time t1 and reduce the stroke end point S2, simulating a composite fault of core jamming and insufficient stroke, verifying the diagnostic algorithm's ability to identify multiple fault sources superimposed.

[0057] Test Case G – Energy Storage Circuit Anomaly: Steady-State Value I of Dragging Energy Storage Motor Current m Increase the motor operating time tm3-tm0 and extend it to simulate the extended energy storage time caused by spring fatigue, transmission mechanism jamming, or internal leakage in the hydraulic mechanism, and verify the diagnostic algorithm's ability to identify abnormalities in the energy storage circuit.

[0058] Test Case H – Anomalous Timing Coordination of Auxiliary Switch and Energy Storage: Simultaneously adjust the toggling time of the auxiliary switch and the operating time of the energy storage motor to simulate the anomaly in the timing coordination between the status signals and the energy storage action during the circuit breaker operation cycle, and verify the timing logic diagnostic capability of the diagnostic algorithm.

[0059] As can be seen from the above embodiments, this device can be used independently as a conventional circuit breaker mechanical characteristic testing device to complete the synchronous acquisition of circuit breaker mechanical characteristic related signals and parameter measurement; it can also generate a fault test case library on demand based on the original waveform / built-in standard waveform to achieve comprehensive verification of diagnostic algorithms.

[0060] As described in the above embodiments, this invention provides a circuit breaker mechanical characteristic testing and diagnostic algorithm verification device with waveform editing function. This device includes a signal acquisition and communication module, a human-machine interface, a drag-and-drop waveform editing unit, a waveform feature adaptive reconstruction unit, and a COMTRADE format storage and retrieval unit. The signal acquisition and communication module synchronously acquires the opening / closing coil current waveform, displacement stroke curve, auxiliary switch remote signaling change signal, and energy storage motor current waveform during circuit breaker opening and closing operations, possessing complete circuit breaker mechanical characteristic testing functions. Based on this, the human-machine interface adjusts waveform feature points or selects points through drag-and-drop operations. The waveform feature adaptive reconstruction unit generates a corrected waveform based on the adjusted feature points or selected points. The COMTRADE format storage and retrieval unit stores the adjusted waveform as a standard format file, which is then sent to the diagnostic system by the signal acquisition and communication module to evaluate the effectiveness of the diagnostic algorithm. This invention integrates mechanical characteristic testing and waveform editing verification, and can be used as both a conventional circuit breaker mechanical characteristic testing device and a diagnostic algorithm effectiveness verification device, solving the technical problems of existing testing devices having limited functionality and diagnostic algorithm verification relying on on-site measured data.

[0061] Those skilled in the art will understand that embodiments of the present invention can be provided as products such as apparatus, methods, or electronic devices. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0062] It should be noted that the word "comprising" does not exclude the presence of components or steps not listed in the claims. The words "a" or "an" preceding a component do not exclude the presence of a plurality of such components. This invention can be implemented by means of hardware comprising several different components and by means of a suitably programmed computer.

[0063] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0064] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A circuit breaker mechanical characteristic test and diagnosis algorithm verification device with waveform editing function, characterized in that, The device includes: The signal acquisition and communication module is used to acquire waveform data generated during the opening and closing operations of the circuit breaker and send the waveform data to the human-machine interface and the circuit breaker mechanical characteristic diagnostic system; wherein, the waveform data includes the opening / closing coil current waveform, displacement stroke curve, auxiliary switch remote signaling change signal and energy storage motor current waveform; The human-computer interaction interface is used to display the waveform data in a graphical overlay and to receive drag-and-drop editing operations from the user on waveform feature points or selected points; A drag-and-drop waveform editing unit, connected to the human-computer interaction interface, is used to identify waveform feature points selected by the user and adjust the parameters of the feature points or selected points in real time according to the drag operation; the parameters include time and / or amplitude. The waveform feature adaptive reconstruction unit is connected to the drag-and-drop waveform editing unit and is used to reconstruct the waveform based on the adjusted waveform feature points to generate the adjusted complete waveform. The COMTRADE format storage and retrieval unit is connected to the waveform feature adaptive reconstruction unit and is used to encapsulate the adjusted waveform data into a COMTRADE format file and store and retrieve it. The device has two working modes: standard test mode and verification editing mode. In standard test mode, the device directly acquires and displays the original waveform and performs the circuit breaker mechanical characteristic test function. In verification editing mode, the device generates test waveforms by dragging and dropping based on the original sampled waveform or the built-in standard waveform and performs the diagnostic algorithm validity verification function.

2. The apparatus according to claim 1, characterized in that, The drag-and-drop waveform editing unit includes: The feature point recognition subunit is used to automatically extract feature points from the opening / closing coil current waveform, displacement stroke curve, and energy storage motor current waveform using zero-crossing detection and slope change detection algorithms. The amplitude adjustment subunit is used to respond to the user's dragging operation in the amplitude axis direction and modify the amplitude parameters corresponding to the feature point or selected point; The time adjustment subunit is used to respond to the user's dragging operation in the time axis direction and modify the time coordinates corresponding to feature points or selected points; The auxiliary switch position adjustment module is used to independently modify the flip-off time of the auxiliary switch remote signaling position change signal.

3. The apparatus according to claim 2, characterized in that, The characteristic points of the extracted opening / closing coil current waveform include at least: the start time of coil energization, the start time of core movement, the stop time of core movement, and the start time of coil de-energization.

4. The apparatus according to claim 2, characterized in that, The feature points of the extracted displacement stroke curve include at least: the starting position of the moving contact, the point where the moving contact just separates or just closes, and the end point of the moving contact stroke.

5. The apparatus according to claim 2, characterized in that, The extracted characteristic points of the energy storage motor current waveform include at least: motor starting current, motor starting time, motor steady-state current, and motor power-off time.

6. The apparatus according to claim 1, characterized in that, The waveform feature adaptive reconstruction unit includes an interpolation reconstruction subunit, which is used to generate a continuous and smooth waveform for the affected waveform segment by using a cubic spline interpolation algorithm while keeping the adjusted feature points or selected points unchanged. For the auxiliary switch remote signaling change signal, a step function is used for reconstruction.

7. The apparatus according to claim 1, characterized in that, The COMTRADE format storage and retrieval unit includes a CFG file generation subunit and a DAT file generation subunit, which are used to generate configuration files and data files that conform to the standard, respectively; in the standard test mode, the original acquired waveforms are stored in COMTRADE format.

8. The apparatus according to claim 7, characterized in that, The signal acquisition and communication module includes a communication module subunit, which is used to send raw waveform data or edited waveform data in COMTRADE format to the circuit breaker mechanical characteristic diagnostic system.

9. The apparatus according to claim 1, characterized in that, The signal acquisition and communication module is equipped with an expandable sensor interface for connecting additional sensors to obtain waveform data including, but not limited to, primary equipment current, primary equipment voltage, vibration signal, and acoustic signature signal.

10. The apparatus according to claim 1, characterized in that, The human-machine interface uses a touch screen display, which overlays the opening / closing coil current waveform, displacement stroke curve, and auxiliary switch remote signaling change signal on the same time axis, and displays the energy storage motor current waveform separately on another time axis. It also provides a mode switching control for switching between standard test mode and verification editing mode.

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