Circuit breaker closing bounce time measurement device based on machine vision and usage method

Abstract

This invention provides a machine vision-based device and method for measuring the closing bounce time of a circuit breaker, relating to the field of power equipment testing technology. In this invention, measuring the closing bounce time of a circuit breaker requires no disassembly of the circuit breaker, no installation of related sensors, and no reliance on testing personnel from the circuit breaker manufacturer. It employs machine vision technology for non-contact measurement of the closing bounce time, avoiding safety risks to testing personnel and equipment. Furthermore, during opening and closing speed testing, machine vision measurement is a non-contact method, avoiding the cumbersome installation and disassembly of displacement sensors and the risk of damaging internal components of the circuit breaker's operating mechanism. Simultaneously, it can meet the measurement needs of different circuit breaker models, eliminating the need for different testing fixtures for different models, significantly reducing maintenance costs.

Description

Technical Field

[0001] This invention relates to the field of power equipment testing technology, specifically to a circuit breaker closing bounce time measurement device and its usage method based on machine vision. Background Technology

[0002] High-voltage circuit breakers play a crucial role in the control and protection of power installations, and are the switching devices capable of handling the most diverse tasks and demands within these installations. Besides interrupting the load current during normal operation, high-voltage circuit breakers must also work with automatic protection devices to promptly cut off fault currents. Their reliability is a vital guarantee for the safe and stable operation of electrical installations. International surveys show that 83% of serious high-voltage circuit breaker failures are caused by mechanical faults and electrical control circuit failures. The State Grid Corporation's work summary on high-voltage switchgear also indicates that mechanical faults remain the primary defect in circuit breakers. Therefore, testing the mechanical characteristics of circuit breakers to promptly identify defects is extremely important. Currently, the testing of high-voltage circuit breaker mechanical characteristics mainly involves two test items: opening and closing time and speed. These results are then used to calculate other mechanical characteristic parameters, such as opening distance, overtravel, closing bounce time, and opening rebound travel.

[0003] Currently, all vacuum circuit breakers use butt-fitting contact for their moving and stationary contacts. When a vacuum circuit breaker closes, the moving and stationary contacts collide at the moment of closure, and the moving contact is prone to rebound, a phenomenon known as closing bounce. Closing bounce can cause high-frequency LC oscillations in electrical equipment, and the resulting overvoltage can damage or even destroy the insulation of electrical equipment. Closing bounce can also easily lead to contact welding. Therefore, closing bounce has always been a key technical safety indicator of concern.

[0004] Currently, there is no dedicated equipment for measuring the closing bounce time of circuit breakers. Measuring this time typically involves using a circuit breaker mechanical characteristic testing device. However, the mechanical characteristic testing device used by the State Grid maintenance teams has shortcomings. During testing, a displacement sensor must be installed on the circuit breaker's operating mechanism. However, high-voltage circuit breakers have complex internal structures, making disassembly and installation extremely time-consuming, and improper operation can even damage internal components. Furthermore, circuit breaker models vary, requiring different testing fixtures, making it difficult for each maintenance branch to procure a complete set. Therefore, testing must rely on professionals from the circuit breaker manufacturer, which is the main reason why mechanical defects cannot be detected promptly and effectively before circuit breaker failures occur.

[0005] Therefore, it is necessary to provide a new scheme for measuring the closing bounce time of circuit breakers. Summary of the Invention

[0006] (a) Technical problems to be solved

[0007] To address the shortcomings of existing technologies, this invention provides a machine vision-based circuit breaker closing bounce time measurement device and its usage method, solving the technical problem of cumbersome operation.

[0008] (II) Technical Solution

[0009] To achieve the above objectives, the present invention provides the following technical solution:

[0010] A machine vision-based circuit breaker closing bounce time measurement device, wherein the circuit breaker includes an SF6 gas chamber, an operating mechanism, and opening / closing control terminals, and the SF6 gas chamber, the grounding wires on both sides of the circuit breaker, and the ground grid constitute the circuit breaker fluid flow circuit.

[0011] The device includes a high-speed camera, a circuit breaker opening and closing signal module, and a main unit;

[0012] The circuit breaker opening and closing signal module is used to send circuit breaker opening and closing signals, and trigger the circuit breaker operating mechanism to perform opening and closing actions through the circuit breaker opening and closing control terminals;

[0013] The host is used to trigger the high-speed camera to acquire motion images of the circuit breaker operating mechanism after detecting the circuit breaker opening and closing signal, and to obtain the circuit breaker opening and closing speed characteristic curve based on the image signal; and to obtain the closing bounce time of the circuit breaker based on the circuit breaker opening and closing speed characteristic curve.

[0014] Preferably, the circuit breaker closing bounce time measuring device further includes a calibration object;

[0015] The calibration object is installed on the circuit breaker operating mechanism and is used to calibrate the high-speed camera to achieve complete capture of motion images of the circuit breaker operating mechanism.

[0016] Preferably, the high-speed camera is mounted on a gimbal stabilizer; the calibration object is a checkerboard pattern.

[0017] Preferably, the host computer detects the circuit breaker opening and closing signals via a high-voltage differential probe, which is installed at the circuit breaker opening and closing signal module.

[0018] Preferably, the host specifically includes:

[0019] The calibration module is used to calibrate the high-speed camera based on the image signal, and then perform distortion correction on the image after obtaining the calibration result;

[0020] The extraction module is used to extract the closing motion trajectory of the circuit breaker operating mechanism as the circuit breaker closing action stroke curve, calculate the motion speed of the circuit breaker operating mechanism in the pixel coordinate system, and obtain the circuit breaker opening and closing speed characteristic curve in the pixel coordinate system.

[0021] The mapping module is used to map the circuit breaker movement speed in the pixel coordinate system to the world coordinate system through the camera calibration results, and obtain the circuit breaker opening and closing speed characteristic curve in the world coordinate system as the final circuit breaker opening and closing speed characteristic curve.

[0022] The acquisition module is used to acquire the closing bounce time of the circuit breaker based on the opening and closing speed characteristic curve of the circuit breaker.

[0023] A method for using a machine vision-based circuit breaker closing bounce time measurement device, the method comprising:

[0024] S1, Test wiring;

[0025] Construct the circuit breaker closing bounce time measuring device as described in claim 1;

[0026] S2, parameter adjustment;

[0027] Attach calibration objects to the circuit breaker operating mechanism and adjust the imaging angle of the high-speed camera;

[0028] S3, Signal Acquisition; including:

[0029] After the host detects that the circuit breaker opening and closing signal module sends a circuit breaker opening and closing signal, it triggers the high-speed camera to capture the action image of the circuit breaker operating mechanism.

[0030] S4. Data analysis; including:

[0031] S41. The host calibrates the high-speed camera based on the image signal, and after obtaining the calibration result, performs distortion correction processing on the image.

[0032] S42. Extract the closing motion trajectory of the circuit breaker operating mechanism as the circuit breaker closing action stroke curve, calculate the movement speed of the circuit breaker operating mechanism in the pixel coordinate system, and obtain the circuit breaker opening and closing speed characteristic curve in the pixel coordinate system.

[0033] S43. Map the circuit breaker movement speed in the pixel coordinate system to the world coordinate system through the camera calibration results, and obtain the circuit breaker opening and closing speed characteristic curve in the world coordinate system as the final circuit breaker opening and closing speed characteristic curve.

[0034] S44. Based on the circuit breaker's opening and closing speed characteristic curve, obtain the closing bounce time of the circuit breaker.

[0035] Preferably, in step S1, the high-speed camera is mounted on a gimbal stabilizer; the calibration object is selected as a checkerboard pattern.

[0036] The high-voltage differential probe is introduced into S3 and installed at the circuit breaker opening and closing signal module. The host detects the circuit breaker opening and closing signal through the high-voltage differential probe.

[0037] Preferably, S42 includes:

[0038] The host computer uses machine vision algorithms to analyze the features of a moving target, which is a circuit breaker operating mechanism. It tracks the target features and records the feature point position information in the pixel coordinate system to form the circuit breaker closing action stroke curve.

[0039] Differential calculations are performed on the circuit breaker closing action stroke curve to obtain the movement speed of the circuit breaker operating mechanism in the pixel coordinate system. The movement speeds at each time point are combined to form the speed characteristic curve of the circuit breaker operating mechanism in the pixel coordinate system. The opening and closing speed characteristic curve of the circuit breaker in the pixel coordinate system is obtained according to the mechanical structure of the circuit breaker.

[0040] (III) Beneficial Effects

[0041] This invention provides a machine vision-based device for measuring the closing bounce time of a circuit breaker and its usage method. Compared with the prior art, it has the following advantages:

[0042] In this invention, measuring the closing bounce time of a circuit breaker requires no disassembly of the circuit breaker, no installation of related sensors, and no reliance on testing personnel from the circuit breaker manufacturer. Machine vision technology is used for non-contact measurement of the closing bounce time, avoiding safety risks to testing personnel and equipment. Furthermore, during opening and closing speed testing, machine vision measurement is a non-contact method, avoiding the cumbersome installation and disassembly of displacement sensors and the risk of damaging internal components of the circuit breaker's operating mechanism. Simultaneously, it can meet the measurement needs of different circuit breaker models without requiring different testing fixtures for different models, significantly reducing maintenance costs. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 A schematic diagram of a circuit breaker closing bounce time measurement device based on machine vision provided in an embodiment of the present invention;

[0045] Figure 2 This is an enlarged view of a circuit breaker operating mechanism provided in an embodiment of the present invention. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are described clearly and completely. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0047] This application provides a machine vision-based circuit breaker closing bounce time measurement device and its usage method, which solves the technical problem of cumbersome operation and enables accurate measurement of circuit breaker closing bounce time without needing to connect the testing device in series with the circuit breaker circuit or relying on professional testing personnel from the circuit breaker manufacturer.

[0048] The technical solution in this application is to solve the above-mentioned technical problems, and the general idea is as follows:

[0049] In the circuit breaker closing bounce time measuring device provided in this embodiment of the invention, the circuit breaker includes a circuit breaker SF6 gas chamber, a circuit breaker operating mechanism, and a circuit breaker opening and closing control terminal. The circuit breaker SF6 gas chamber, the grounding wires on both sides of the circuit breaker, and the ground grid constitute the circuit breaker fluid passage circuit.

[0050] Previously, displacement sensors had to be installed on the circuit breaker operating mechanism during testing. However, the internal structure of high-voltage circuit breakers is complex, and disassembly and installation are very time-consuming. Improper operation can even damage the internal components of the circuit breaker. At the same time, there are various circuit breaker models, and the required testing fixtures are also different. It is difficult for each maintenance branch to assemble a complete set of testing fixtures. Therefore, testing can only be carried out by professionals from the circuit breaker manufacturer.

[0051] In this embodiment of the invention, the circuit breaker closing bounce time can be tested without disassembling the circuit breaker, installing related sensors on the circuit breaker, or relying on the assistance of relevant testing personnel from the circuit breaker manufacturer. Machine vision technology is used to perform non-contact measurement of the circuit breaker closing bounce time, thus avoiding safety risks to testing personnel and equipment.

[0052] When measuring the closing bounce time of circuit breakers, machine vision measurement technology is a non-contact measurement method. This effectively avoids the tedious and complex installation and removal of displacement sensors on the circuit breaker, thus greatly reducing the risk of damage to the internal operating mechanism components. Furthermore, it can meet the measurement needs of different circuit breaker models without requiring different test fixtures for different models or relying on the assistance of testing personnel from the circuit breaker manufacturer, significantly reducing maintenance costs.

[0053] During image data acquisition, rapid camera calibration technology can significantly improve image quality by correcting camera imaging distortion under different operating conditions. The target feature recognition and tracking method employed is characterized by target rotation invariance and insensitivity to ambient light, exhibiting strong stability in target recognition and tracking, and significantly improving the accuracy of measurement results. Innovations in post-processing image technology enable the use of lower-configuration cameras to achieve the required measurement accuracy, significantly reducing costs compared to the high-speed cameras used in traditional circuit breaker mechanical characteristic measurement methods. The non-contact measurement method employed in this invention also provides technical support for the further development of online monitoring.

[0054] In summary, the machine vision-based circuit breaker closing bounce time measurement device and its usage method provided in this embodiment of the invention have the advantages of simple and convenient operation, enhanced safety, and lower cost.

[0055] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0056] Example 1:

[0057] This invention provides a machine vision-based device for measuring the closing bounce time of a circuit breaker. For example... Figure 1 As shown, the circuit breaker includes an SF6 gas chamber 1, an operating mechanism 2, and a tripping control terminal 3. The SF6 gas chamber 1, the grounding wires 7 on both sides of the circuit breaker, and the ground grid 8 constitute the circuit breaker's fluid flow circuit, ensuring the safe and stable operation of the circuit breaker (by conducting unsafe charges or leakage currents generated by the circuit breaker due to various reasons to the ground grid through the grounding wires).

[0058] like Figures 1-2 As shown, the device includes a high-speed camera 4, a circuit breaker opening and closing signal module 5, and a main unit 6. Wherein:

[0059] The SF6 gas chamber 1 of the circuit breaker serves as a sealed arc-extinguishing chamber to encapsulate the moving and stationary contacts of the high-voltage circuit breaker; the circuit breaker operating mechanism 2 controls the movement of the moving contacts of the circuit breaker and also serves as a machine vision observation object to indirectly measure the opening and closing speed of the circuit breaker.

[0060] The circuit breaker opening and closing control terminal 3 is used to receive the circuit breaker opening and closing signal sent by the circuit breaker opening and closing signal module 5, so as to control the circuit breaker operating mechanism.

[0061] The high-speed camera 4 is mounted on the gimbal stabilizer and serves as a shooting device to capture motion images of the circuit breaker operating mechanism 2. It is connected to the host 6 via a trigger signal line.

[0062] The circuit breaker opening and closing signal module 5 is connected to the circuit breaker opening and closing control terminal 3 and is used to send circuit breaker opening and closing signals. Specifically, the circuit breaker operating mechanism 2 is triggered to perform opening and closing actions through the circuit breaker opening and closing control terminal 3.

[0063] The host 6, as a core component, is used to trigger the high-speed camera 4 to acquire motion images of the circuit breaker operating mechanism 2 after detecting the circuit breaker opening and closing signal, and to obtain the circuit breaker opening and closing speed characteristic curve based on the image signal; and to obtain the closing bounce time of the circuit breaker based on the circuit breaker opening and closing speed characteristic curve.

[0064] The calibration object 9 is installed on the circuit breaker operating mechanism 2 and is used to calibrate the high-speed camera 4 to achieve complete capture of motion images of the circuit breaker operating mechanism 2. Camera calibration involves obtaining camera parameters or establishing a camera model. For example, such as... Figure 2 As shown, the calibration object 9 is a chessboard pattern, and the corresponding calibration method is Zhang's method. The specifications of the chessboard pattern can be set according to the actual situation.

[0065] In an optional embodiment, the host 6 detects the circuit breaker opening and closing signals via a high-voltage differential probe, which is installed at the circuit breaker opening and closing signal module 5.

[0066] In an optional embodiment, the host 6 specifically includes:

[0067] The calibration module is used to calibrate the high-speed camera 4 based on the image signal, and then perform distortion correction processing on the image after obtaining the calibration result;

[0068] The extraction module is used to extract the closing motion trajectory of the circuit breaker operating mechanism 2 as the circuit breaker closing action stroke curve, calculate the motion speed of the circuit breaker operating mechanism 2 in the pixel coordinate system, and obtain the circuit breaker opening and closing speed characteristic curve in the pixel coordinate system.

[0069] The mapping module is used to map the circuit breaker movement speed in the pixel coordinate system to the world coordinate system through the camera calibration results, and obtain the circuit breaker opening and closing speed characteristic curve in the world coordinate system as the final circuit breaker opening and closing speed characteristic curve.

[0070] The acquisition module is used to acquire the closing bounce time of the circuit breaker based on the opening and closing speed characteristic curve of the circuit breaker.

[0071] Example 2:

[0072] This invention provides a method for using a machine vision-based circuit breaker closing bounce time measurement device, the method comprising:

[0073] S1, Test wiring;

[0074] Construct a circuit breaker closing bounce time measuring device as described in Example 1;

[0075] S2, parameter adjustment;

[0076] Before conducting the circuit breaker closing bounce time measurement experiment, a calibration object 9 needs to be attached to a suitable position on the circuit breaker operating mechanism 2, and the imaging angle of the high-speed camera 4 needs to be adjusted so that the circuit breaker operating mechanism 2 is always in the frame during the operation, ensuring that the high-speed camera 4 can completely capture the movement of the circuit breaker operating mechanism 2.

[0077] Calibration object 9 is used to calibrate the high-speed camera 4. Camera calibration involves obtaining camera parameters or establishing a camera model. The calibration method used in this embodiment of the invention is Zhang's calibration method, and the calibration object used in Zhang's calibration method is a checkerboard pattern. The specifications of the checkerboard pattern can be set according to actual conditions.

[0078] S3, Signal Acquisition; including:

[0079] After the host 6 detects that the circuit breaker opening and closing signal module 5 sends out the circuit breaker opening and closing signal, it triggers the high-speed camera 4 to collect the action image of the circuit breaker operating mechanism 2.

[0080] The host 6 detects the signal of the circuit breaker opening and closing signal module 5 through the high-voltage differential probe. When the circuit breaker opening and closing signal module 5 sends a signal, the high-voltage differential probe detects a sudden change in the signal and controls the host 6 to trigger the high-speed camera 4.

[0081] S4. Data analysis; including:

[0082] S41, the host 6 calibrates the high-speed camera 4 based on the image signal, and then performs distortion correction processing on the image after obtaining the calibration result.

[0083] The host 6 uses the calibration object 9 and Zhang's calibration method to calibrate the high-speed camera 4, obtain the high-speed camera parameters, and perform distortion correction processing on the image based on the camera parameters, so that the pixel coordinate system accurately corresponds to the world coordinate system.

[0084] S42. Extract the closing motion trajectory of the circuit breaker operating mechanism 2 as the circuit breaker closing action stroke curve, calculate the motion speed of the circuit breaker operating mechanism 2 in the pixel coordinate system, and obtain the circuit breaker opening and closing speed characteristic curve in the pixel coordinate system.

[0085] The host 6 uses machine vision algorithms to analyze the features of the moving target, which is the circuit breaker operating mechanism 2. It tracks the target features and records the feature point position information in the pixel coordinate system to form the circuit breaker closing action stroke curve.

[0086] Differential calculations are performed on the circuit breaker closing action stroke curve to obtain the movement speed of the circuit breaker operating mechanism 2 in the pixel coordinate system. The movement speeds at each time point are combined to form the speed characteristic curve of the circuit breaker operating mechanism in the pixel coordinate system. The opening and closing speed characteristic curve of the circuit breaker in the pixel coordinate system is obtained according to the mechanical structure of the circuit breaker.

[0087] S43. Map the circuit breaker movement speed in the pixel coordinate system to the world coordinate system using the camera calibration results, and obtain the circuit breaker opening and closing speed characteristic curve in the world coordinate system as the final circuit breaker opening and closing speed characteristic curve.

[0088] Based on the camera parameters obtained from camera calibration, the circuit breaker closing speed characteristic curve in the pixel coordinate system is mapped to the world coordinate system to obtain the circuit breaker closing speed characteristic curve in the world coordinate system, which is the actual closing speed of the circuit breaker.

[0089] S44. Based on the circuit breaker's opening and closing speed characteristic curve, obtain the closing bounce time of the circuit breaker.

[0090] The time required for the moving contact of the circuit breaker to spring open to the limit position is determined from the time when the opening and closing speed characteristic curve of the circuit breaker is first 0 to the time when it is 0 for the second time. The closing bounce time of the circuit breaker is calculated from the time required for the moving contact of the circuit breaker to spring open to the limit position.

[0091] Let t be the time required for the moving contact of the circuit breaker to spring open to its limit position. m The method for determining the circuit breaker closing bounce time is as follows:

[0092] t l =2t m

[0093] t q ≈(1.2~1.3)t l

[0094] Among them, t l t is the duration of the first retraction of the moving contact. q This refers to the closing bounce time of the circuit breaker.

[0095] In summary, the machine vision-based circuit breaker closing bounce time measurement device and method provided in this invention overcome the shortcomings of current measurement methods. It accurately measures the circuit breaker closing bounce time without disassembling the circuit breaker, installing related sensors, or relying on the assistance of testing personnel from the circuit breaker manufacturer. The measurement method described in this invention has a high safety factor, is simple and convenient to operate, greatly reduces the risk and workload of measurement work, and achieves efficient measurement of circuit breaker closing bounce time.

[0096] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0097] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for using a machine vision-based circuit breaker closing bounce time measurement device, characterized in that, The method of use includes: S1, Test wiring; Construct a circuit breaker closing bounce time measurement device; S2, parameter adjustment; A calibration object (9) is attached to the circuit breaker operating mechanism (2), and the imaging angle of the high-speed camera (4) is adjusted. S3, Signal Acquisition; including: After the host (6) detects that the circuit breaker opening and closing signal module (5) sends out the circuit breaker opening and closing signal, it triggers the high-speed camera (4) to collect the action image of the circuit breaker operating mechanism (2); S4. Data analysis; including: S41. The host (6) calibrates the high-speed camera (4) according to the image signal, and performs distortion correction on the image after obtaining the calibration result. S42. Extract the closing motion trajectory of the circuit breaker operating mechanism (2) as the circuit breaker closing action stroke curve, calculate the movement speed of the circuit breaker operating mechanism (2) in the pixel coordinate system, and obtain the circuit breaker opening and closing speed characteristic curve in the pixel coordinate system. S43. Map the circuit breaker movement speed in the pixel coordinate system to the world coordinate system through the camera calibration results, and obtain the circuit breaker opening and closing speed characteristic curve in the world coordinate system as the final circuit breaker opening and closing speed characteristic curve. S44. Obtain the closing bounce time of the circuit breaker based on the opening and closing speed characteristic curve of the circuit breaker. S44 includes: The time required for the moving contact of the circuit breaker to spring open to the limit position is determined from the time when the opening and closing speed characteristic curve of the circuit breaker is first 0 to the time when it is 0 for the second time. The closing bounce time of the circuit breaker is calculated from the time required for the moving contact of the circuit breaker to spring open to the limit position. Set the time required for the moving contact of the circuit breaker to spring open to its limit position as follows: t m The method for determining the circuit breaker closing bounce time is as follows: in, The duration of the first retraction of the moving contact. This refers to the closing bounce time of the circuit breaker.

2. The method of use as described in claim 1, characterized in that, In step S1, the high-speed camera (4) is mounted on the gimbal stabilizer; the calibration object (9) is selected as a checkerboard pattern; The high-voltage differential probe is introduced into S3 and installed at the circuit breaker opening and closing signal module (5). The host (6) detects the circuit breaker opening and closing signal through the high-voltage differential probe.

3. The method of use as described in claim 1, characterized in that, S42 includes: The host (6) uses machine vision algorithm to analyze the characteristics of the moving target, which is the circuit breaker operating mechanism (2), tracks the target characteristics, and records the feature point position information in the pixel coordinate system to form the circuit breaker closing action stroke curve; Differential calculation is performed on the circuit breaker closing action stroke curve to obtain the movement speed of the circuit breaker operating mechanism (2) in the pixel coordinate system. The movement speed at each time point is combined to form the speed characteristic curve of the circuit breaker operating mechanism in the pixel coordinate system. The opening and closing speed characteristic curve of the circuit breaker in the pixel coordinate system is obtained according to the mechanical structure of the circuit breaker.

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