Auxiliary circuit for a circuit breaker

Abstract

The application provides an auxiliary circuit of a circuit breaker, which is connected in series at the front end of the circuit breaker. The auxiliary circuit comprises a collection circuit, a processing circuit and a control circuit. The collection circuit collects the current of a track circuit to obtain a sampling current and sends the sampling current to a processing device. The processing device judges whether the sampling current is a current transient fluctuation through a built-in preset algorithm and sends a diagnosis result to the control circuit. The control circuit controls the state of the circuit breaker according to the diagnosis result. Through the operation of diagnosing first and then performing the overcurrent protection of the circuit breaker, the influence of the current transient fluctuation can be eliminated before the overcurrent protection of the circuit breaker, and the availability of the track circuit system is improved. Moreover, the staff can avoid the operation of performing the maintenance of closing the circuit breaker on site due to the overcurrent protection of the circuit breaker caused by the current transient fluctuation, and the work efficiency is improved.

Description

Technical Field

[0001] This application relates to the field of track circuit systems, and in particular to an auxiliary circuit for a circuit breaker. Background Technology

[0002] As a widely used railway signaling system, the track circuit system has advantages such as high reliability, high availability, and high maintainability. Existing technology can protect the track circuit system by installing a circuit breaker between the track circuit system and the power supply, using overcurrent protection.

[0003] However, the circuit breaker triggering the track circuit's disconnection mode is only related to the current entering the circuit breaker. When the current entering the circuit breaker exceeds a preset threshold, i.e., the current is in an overcurrent state, the circuit breaker will activate overcurrent protection. Since the current entering the circuit breaker may be a genuine overcurrent or an overcurrent caused by instantaneous current fluctuations, and overcurrent caused by instantaneous current fluctuations is a normal phenomenon, it is not necessary for the circuit breaker to activate overcurrent protection. Therefore, it is necessary to perform a circuit breaker closing operation. However, existing technology often requires on-site closing maintenance for circuit breaker closure. This not only reduces the availability of the track circuit system but also significantly reduces work efficiency.

[0004] Therefore, how to improve the availability and efficiency of track circuit systems while providing overcurrent protection has become a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] This application provides a circuit breaker auxiliary circuit, applied at the front end of the circuit breaker, to improve the availability and operating efficiency of the track circuit system when providing overcurrent protection.

[0006] This application provides an auxiliary circuit for a circuit breaker, which is connected in series at the front end of the circuit breaker. The circuit includes: a data acquisition circuit, a processing circuit, and a control circuit. The acquisition circuit is connected in series with the circuit breaker circuit to acquire the sampling current and send the sampling current to the processing circuit for diagnosis; the sampling current is determined by the acquisition circuit acquiring the current of the track circuit. The processing circuit is connected to the acquisition circuit and the control circuit, and is used to receive the sampled current sent by the acquisition circuit, diagnose whether the sampled current is caused by a current surge through a built-in preset algorithm, and send the diagnosis result to the control circuit; the built-in preset algorithm is an algorithm pre-stored in the processing circuit, used to diagnose whether the overcurrent of the sampled current is caused by a current surge. The control circuit is connected to the acquisition circuit and the processing circuit, and is used to control the state of the circuit breaker circuit according to the diagnostic results of the processing circuit; the state of the circuit breaker circuit includes the closed circuit breaker circuit and the closed circuit breaker circuit.

[0007] Optionally, the acquisition circuit includes: an access circuit, a current differential output circuit, and an overcurrent detection output circuit; The access circuit is used to connect in series to the front end of the circuit breaker circuit; The input terminal of the current differential output circuit is connected to the access circuit, and the two output terminals of the current differential output circuit are connected to the processing circuit, which is used to send the real-time sampled current to the processing circuit for storage. The input terminal of the overcurrent detection output circuit is connected to the access circuit, and the output terminal of the overcurrent detection output circuit is connected to the processing circuit; the overcurrent detection output circuit is connected in parallel with the current differential output circuit; the overcurrent detection output circuit is used to send the sampled current to the processing circuit for diagnosis.

[0008] Optionally, sending the sampled current to the processing circuit for diagnosis includes: The processing circuit receives the sampled current; in response to the output terminal of the overcurrent detection output circuit being at a high level, it diagnoses the sampled current using a built-in preset algorithm.

[0009] Optionally, sending the sampled current to the processing circuit for diagnosis further includes: The overcurrent detection output circuit responds to the sampling current exceeding a preset threshold by determining that the output terminal of the overcurrent detection output circuit outputs the high level.

[0010] Optionally, the circuit further includes: a communication circuit; The communication circuit is connected in parallel with the control circuit and the acquisition circuit, and is used to enable the circuit breaker circuit to communicate with the external operating platform through circuit carrier communication.

[0011] Optionally, the communication circuit further includes a signal receiving end and a signal transmitting end, the signal receiving end and the signal transmitting end being connected to the processing circuit and used to issue alarm information based on the diagnostic results of the processing circuit.

[0012] Optionally, controlling the state of the circuit breaker circuit based on the diagnostic results of the processing circuit includes: In response to the diagnostic result of the processing circuit being a transient current surge, the control circuit outputs a low level and closes the circuit breaker circuit.

[0013] Optionally, the built-in preset algorithm is a fusion algorithm of wavelet transform and BP neural network; The wavelet transform and BP neural network fusion algorithm includes: The sampling current acquired by the acquisition circuit is decomposed and reconstructed by the wavelet transform to obtain a reconstructed image, which includes the target reconstruction detail signal. The preset index feature value of the target reconstructed detail signal is input into the BP neural network to train the BP neural network; the preset index is used to describe the features of the target reconstructed detail signal.

[0014] Optionally, the preset indicators include variance, mean, skewness, maximum value, root square magnitude, margin factor, waveform factor, and impulse index.

[0015] Optionally, the processing circuit includes a microprocessor; the microprocessor includes a storage module and a processing module; The storage module is used to store program code and the sampled current, and to transmit the program code and the sampled current to the processing module; The processing module is used to diagnose whether the sampled current is caused by an instantaneous current surge, based on the instructions in the program code.

[0016] This application provides an auxiliary circuit for a circuit breaker, connected in series at the front end of the circuit breaker. The auxiliary circuit includes a data acquisition circuit, a processing circuit, and a control circuit. The data acquisition circuit collects the current from the track circuit to obtain a sampled current and sends the sampled current to the processing circuit. The processing circuit uses a built-in preset algorithm to determine whether the overcurrent of the sampled current is a transient current fluctuation and sends the diagnostic result to the control circuit. The control circuit controls the state of the circuit breaker based on the diagnostic result. By diagnosing the problem before initiating overcurrent protection, the influence of transient current fluctuations can be eliminated before the circuit breaker triggers overcurrent protection. Therefore, the availability of the track circuit system is improved. Furthermore, this circuit avoids the need for personnel to go to the site for on-site maintenance due to transient current fluctuations causing overcurrent protection, further improving work efficiency. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this embodiment or the prior art, the drawings used in the description of the embodiment or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A schematic diagram of the auxiliary circuit structure of a circuit breaker provided in an embodiment of this application; Figure 2 A flowchart illustrating the implementation of a wavelet transform and BP neural network fusion algorithm provided in this application embodiment; Figure 3 The original image of the test sample and the wavelet reconstructed image obtained after wavelet decomposition and reconstruction; Figure 4 A flowchart illustrating a method for training a BP neural network, as provided in an embodiment of this application; Figure 5 A schematic diagram of the auxiliary circuit structure of another circuit breaker provided in an embodiment of this application; Figure 6 This application provides a specific structural circuit diagram of a data acquisition circuit and a control circuit. Detailed Implementation

[0019] The terms “first,” “second,” “third,” and “fourth,” etc., used in this application specification, claims, and drawings are used to distinguish different objects, not to limit a specific order.

[0020] In the embodiments of this application, the terms "as an example" or "for example" are used to indicate that they are examples, illustrations, or explanations. Any embodiment or design that is described as "as an example" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design options. Specifically, the use of terms such as "as an example" or "for example" is intended to present the relevant concepts in a specific manner.

[0021] The terminology used in the implementation section of this application is for the purpose of explaining specific embodiments of this application only, and is not intended to limit this application.

[0022] As mentioned earlier, existing technologies often employ circuit breakers between the track circuit system and the power supply to protect the track circuit system through overcurrent protection. The inventors discovered that the circuit breaker triggering the track circuit disconnection mode is solely related to the current entering the circuit breaker. When the current entering the circuit breaker exceeds a preset threshold, i.e., the current is in an overcurrent state, the circuit breaker will activate overcurrent protection. However, the current entering the circuit breaker may be a genuine overcurrent or it may be due to instantaneous current fluctuations. Since instantaneous current fluctuations causing overcurrent are normal phenomena, overcurrent protection by the circuit breaker is unnecessary. Therefore, it is necessary to perform the operation of closing the circuit breaker. Furthermore, existing technologies require on-site closing maintenance for the circuit breaker. This not only reduces the availability of the track circuit system but also significantly reduces work efficiency.

[0023] This application provides an auxiliary circuit for a circuit breaker, including a data acquisition circuit, a processing circuit, and a control circuit. The data acquisition circuit collects the current from the track circuit to obtain a sampled current. The processing circuit determines whether the sampled current represents a transient current fluctuation and sends the diagnostic result to the control circuit. The control circuit controls the state of the circuit breaker based on the diagnostic result. By diagnosing the problem before initiating overcurrent protection, the impact of transient current fluctuations can be eliminated before the circuit breaker triggers overcurrent protection. Therefore, the availability of the track circuit system can be improved. Furthermore, it avoids the need for personnel to go to the site for on-site maintenance due to transient current fluctuations causing overcurrent protection, further improving work efficiency.

[0024] The circuit-breaking auxiliary circuit provided in this application can be applied between the circuit breaker and the power supply in a track circuit system. In addition, the circuit-breaking auxiliary circuit provided in this application can also be applied to various circuit systems that include circuit breakers.

[0025] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0026] See Figure 1 This is a schematic diagram of an auxiliary circuit 100 for a circuit breaker provided in an embodiment of this application, connected in series at the front end of the circuit breaker in a track circuit system. The circuit 100 includes at least: a data acquisition circuit 101, a processing circuit 102, and a control circuit 103.

[0027] The acquisition circuit 101 is connected in series with the circuit breaker circuit to acquire the sampled current. The acquisition circuit is also connected to the processing circuit 102 to send the sampled current to the processing circuit 102 for diagnosis. The processing circuit 102 is connected to the acquisition circuit 101 and the control circuit 103. The control circuit 103 is connected to the acquisition circuit 101 and the processing circuit 102 to control the state of the circuit breaker circuit based on the diagnostic results of the processing circuit 102. A detailed analysis of each circuit follows.

[0028] First, let's introduce the data acquisition circuit 101.

[0029] In this embodiment, to achieve series connection with the circuit breaker circuit, the acquisition circuit can be designed with an access circuit for series connection to the circuit breaker front end before the track circuit system. Optionally, the access circuit includes a first access terminal and a second access terminal. The circuit breaker circuit is connected in series with the acquisition circuit through the first access terminal and the second access terminal.

[0030] In this embodiment, to achieve real-time acquisition of the current of the track circuit system, the acquisition circuit 101 can be designed with a current output circuit, such as a single-ended current output circuit. In this embodiment, the current output can be a differential current output circuit. Specifically, the input terminal of the differential current output circuit is connected to the access circuit, and the two output terminals are connected to the processing circuit 102. The current generated by the track circuit system can be sent to the processing circuit 102 for storage through the access circuit, thus enabling real-time acquisition by the acquisition circuit.

[0031] In this embodiment, the acquisition circuit 101 may also be designed with an overcurrent detection output circuit, which is used to set a threshold, determine whether the sampled current is an overcurrent, and send the determination result to the processing circuit 102 for further determination of whether the overcurrent is caused by a transient current surge. The input terminal of the overcurrent detection output circuit is connected to the access circuit, and the output terminal is connected to the processing circuit 102.

[0032] The processing circuit 102 is described below.

[0033] The processing circuit 102 receives and stores the real-time sampled current sent by the acquisition circuit, and performs diagnostic analysis on the overcurrent to determine whether it is caused by a transient current surge, based on a built-in preset algorithm. The diagnostic results are then sent to the control circuit 103 to adjust its state. For example, if the diagnostic result indicates a transient current surge, the control circuit is at a low level; if the diagnostic result indicates no transient current surge, the control circuit is at a high level.

[0034] In this embodiment, the acquisition circuit 101 includes an overcurrent detection output circuit. If the output of the overcurrent detection output circuit is high, the overcurrent in the acquisition circuit is diagnosed using a built-in preset algorithm. Conversely, if the output of the overcurrent detection output circuit is low, the track circuit system operates normally.

[0035] In this embodiment, the output of the overcurrent detection output circuit is at a high level, which can be achieved by determining the relationship between the sampled current and a preset threshold. If the sampled current exceeds the preset threshold, the output of the overcurrent detection output circuit is at a high level. Conversely, if the sampled current does not exceed the preset threshold, the output is at a low level. The preset threshold can be set by those skilled in the art. For example, the preset threshold can be set to the circuit breaker's rated current I. d 0.8 times. Assuming the sampling current is i, then if i > 0.8I d If the current is within the specified range, the output of the overcurrent detection circuit will be at a high level; otherwise, it will be at a low level.

[0036] In this embodiment, the processing circuit 102 may include a microprocessor. The microprocessor includes a storage module and a processing module. The storage module stores program code and sampled current, and transmits the program code and sampled current to the processing module. The processing module diagnoses whether the overcurrent of the sampled current is caused by a transient current surge based on instructions in the program code. The program code instructions may include code for a built-in preset algorithm.

[0037] In this embodiment, the built-in preset algorithm can be a fusion algorithm of wavelet transform and BP neural network. The implementation of the wavelet transform and BP neural network fusion algorithm is described below. Figure 2 .

[0038] In this embodiment, the circuit breaker circuit includes a closed circuit and a closed circuit. The closed circuit breaker is used for the normal operation of the subsequent track circuit system, while the closed circuit breaker disconnects the subsequent track circuit system, causing it to stop operating. In this embodiment, the state of the control circuit 103 can be controlled based on the diagnostic results of the processing circuit 102.

[0039] The control circuit 103 is described below.

[0040] Based on the diagnostic results received from the processing circuit 102, the control circuit 103 adjusts the operating state of the circuit breaker circuit. Specifically, if the diagnostic result indicates a transient current surge, the control circuit 103 outputs a low level, closing the circuit breaker circuit, and the track circuit system operates normally. If the diagnostic result indicates a real overcurrent, the control circuit 104 outputs a high level, cutting off the circuit breaker circuit and preventing the track circuit system from operating.

[0041] This application provides an auxiliary circuit for a circuit breaker, connected in series at the front end of the circuit breaker. The auxiliary circuit includes a data acquisition circuit, a processing circuit, and a control circuit. The data acquisition circuit collects the current from the track circuit to obtain a sampled current and sends the sampled current to the processing circuit. The processing circuit uses a built-in preset algorithm to determine whether the overcurrent of the sampled current is a transient current fluctuation and sends the diagnostic result to the control circuit. The control circuit controls the state of the circuit breaker based on the diagnostic result. By diagnosing the problem before initiating overcurrent protection, the influence of transient current fluctuations can be eliminated before the circuit breaker triggers overcurrent protection. Therefore, the availability of the track circuit system is improved. Furthermore, this circuit avoids the need for personnel to go to the site for on-site maintenance due to transient current fluctuations causing overcurrent protection, further improving work efficiency.

[0042] See Figure 2 This is a flowchart illustrating the implementation of a wavelet transform and BP neural network fusion algorithm provided in an embodiment of this application. The algorithm includes at least the following steps: S201: Obtain test samples.

[0043] In this embodiment, the test sample can be downsampled data of the overcurrent i based on the track circuit system, acquired by the acquisition circuit. The downsampling is low-rate sampling, which enables high-resolution identification at low frequencies.

[0044] S202: Obtain the reconstructed image based on wavelet decomposition and reconstruction.

[0045] In this embodiment, wavelet decomposition and reconstruction enhance signal detail features, remove overall signal trends, and avoid noise interference from the environment affecting the sampled current data. This results in a smoother reconstructed graph after wavelet decomposition and reconstruction. As a time-frequency analysis method, wavelet decomposition and reconstruction features multi-resolution analysis, enabling it to focus on arbitrary details of the signal for multi-resolution time-frequency domain analysis.

[0046] See Figure 3 The test sample includes the original image and the wavelet reconstructed image obtained after wavelet decomposition and reconstruction. It can be seen that the wavelet reconstructed image obtained after wavelet decomposition and reconstruction enhances the detailed features of the signal and eliminates interference from local signals.

[0047] S203: Obtain the reconstruction detail signal index and index feature value in the reconstructed image, and generate training samples.

[0048] The reconstructed image includes multiple reconstructed detail signals, which are composed of various feature indices, such as peak value, skewness, and periodicity. The more feature indices there are, and the more representative they are, the better they describe the features of the reconstructed image. If these feature indices are used to train a neural network model, the accuracy of the prediction model will be higher. In this embodiment, the feature indices selected for the reconstructed detail signals are standard deviation, variance, mean, root mean square, kurtosis, skewness, maximum value, root square magnitude, peak factor, margin factor, waveform factor, and impulse index—a total of 12 feature indices. Some of these indices can also be selected. The feature values ​​of the feature indices are obtained based on the features of the reconstructed image, for example, by using algorithms such as scale-invariant special transformation to obtain the feature values ​​of feature points in the reconstructed image. For example, for... Figure 3 The wavelet transform reconstruction image and the feature indexes of a certain feature point obtained by the preset algorithm, as well as the feature values ​​corresponding to the feature indexes, are shown in Table 1.

[0049]

[0050] Table 1

[0051] S204: Input the training samples into the BP neural network for training.

[0052] In this embodiment, the training process of the BP neural network is divided into two stages. The first stage is forward propagation, from the input layer through the hidden layers and finally to the output layer. The second stage is error propagation, from the output layer to the hidden layers and finally to the input layer. The weights and biases from the hidden layers to the output layer and from the input layer to the hidden layers are adjusted sequentially. The neural network is then trained. See below for specific training methods. Figure 4 The description of the illustrated embodiments will not be repeated here.

[0053] S205: Input the reconstructed detail signal index obtained in step S203 into the trained BP neural network to obtain the diagnostic results.

[0054] In the embodiments of this application, the diagnostic results include two types: one caused by a transient current surge, and the other caused by a real overcurrent.

[0055] S206: Output diagnostic results.

[0056] See Figure 4 This is a flowchart illustrating a method for training a backpropagation (BP) neural network according to an embodiment of this application. The training method includes at least the following steps: S401: Initialize weights and biases.

[0057] S402: Set the number of nodes in the input layer, hidden layer, and output layer.

[0058] S403: Input sample data.

[0059] S404: Input values ​​are accumulated with weights and then added to the bias as input to the hidden layer.

[0060] S405: Use a transfer function to transform the input data and then output it.

[0061] S406: Calculate the error value of each node in the output layer.

[0062] S407: Calculate the node error rate.

[0063] S408: Update the weights and biases.

[0064] S409: Determine if the number of iterations meets the preset value. If not, stop the iteration; otherwise, jump to S403 for retraining. If yes, proceed to step S410.

[0065] S410: Complete neural network training.

[0066] Example Explanation: Using the extracted feature values ​​of 12 indicators as input values ​​for a BP neural network, the number of nodes in the input layer is 12. If the number of hidden layer nodes is set to 6, the output layer nodes to 4, the learning rate to 0.0075, the number of iterations to 10000, tanh as the activation function for the hidden layer, sigmoid as the activation function for the output layer, and cross-entropy as the cost function, the output layer can output instantaneous current surges or actual current overcurrents. After 6000 iterations, the model's prediction accuracy is 96%.

[0067] The built-in preset algorithm provided in this application embodiment fully utilizes the enhanced signal detail features of wavelet transform to eliminate local signal interference. Furthermore, the use of a trained BP neural network as training samples significantly improves the accuracy of diagnostic results.

[0068] See Figure 5 This is a schematic diagram of an auxiliary circuit 500 for another circuit breaker provided in an embodiment of this application, connected in series at the front end of the circuit breaker in the track circuit system. The circuit includes: a data acquisition circuit 501, a control circuit 502, a processing circuit 503, and a communication circuit 504.

[0069] The acquisition circuit 501 is connected in series at the front end of the router and is also connected to the processing circuit 503. Specifically, the overcurrent detection output and the current sampling differential output of the acquisition circuit are both connected to the processing circuit 503. These are used to transmit the sampled current and overcurrent detection commands to the processing circuit 503.

[0070] The control circuit 502 is connected to the acquisition circuit 501 and the processing circuit 503. It is used to receive the control status of the control circuit 502 from the processing circuit 503 and feed the control status back to the processing circuit 503.

[0071] The processing circuit 503 is connected to the acquisition circuit 501, the control circuit 502, and the communication circuit 503, and is used to diagnose and analyze overcurrent in the sampled current. The specific analysis method is as follows: Figure 2 The content shown will not be discussed further here.

[0072] The communication circuit 504 is connected in parallel with the acquisition circuit 501 and the control circuit 502, and in series with the processing circuit 503. The communication circuit 504 enables communication between the processing circuit 503 and the external operating platform. Specifically, the diagnostic results of the processing circuit 503 are uploaded to the external operating platform via the communication circuit 504. Opening and closing commands from the external operating platform are transmitted to the processing circuit 503 via the communication circuit 504 to control the state of the circuit breaker. In this embodiment, the communication between the processing circuit 503 and the external operating platform uses circuit carrier communication.

[0073] In this application embodiment, a specific structural circuit of the acquisition circuit 501 and the control circuit 502 is provided as follows: Figure 6 As shown: The acquisition circuit 501 includes an access circuit, a current sampling differential output circuit, and an overcurrent detection output current. The specific circuit structure is as follows: Figure 6 The above describes the circuit diagram. AD ​​represents the differential output terminal of the current sampling differential output current, which is connected to the processing circuit 403 via an analog-to-digital converter. TRGGER is the output terminal of the overcurrent detection output circuit, connected to the processing circuit; IN and OUT are the circuit interfaces connecting the input circuit to the circuit breaker circuit; the SWITCH terminal is connected to the processing circuit 503. The control circuit 502 consists of a MOSFET switching circuit used to control the opening of the circuit breaker.

[0074] In this embodiment, the TRGGER outputs a high or low level by determining a preset threshold Ith based on the resistance relationship between R15 and R16. Specifically, the circuit breaker's nominal value... Reduction factor = (R15) Ith 10) / R16. The nominal current of the circuit breaker is the rated current marked on the circuit breaker casing. The derating factor should be adjusted according to usage requirements. When the overcurrent i exceeds Ith, TRGGER outputs a high level; otherwise, it outputs a low level.

[0075] In this embodiment, when the processing circuit 503 receives a high-level output from TRGGER, it first diagnoses the overcurrent of the sampled current. If the diagnosis result is a transient current surge, the SWTICH terminal outputs a low-level state, the MOSFET turns off, and the circuit breaker automatically closes. If the diagnosis result is a real overcurrent, the SWTICH terminal outputs a high-level state, the MOSFET turns off, and the circuit breaker automatically cuts off.

[0076] The alternative circuit breaker auxiliary circuit provided in this application embodiment ensures that the circuit breaker only disconnects when there is a genuine overcurrent. Furthermore, it features remote control functionality, allowing manual commands to be issued via communication circuits to open and close the circuit breaker, reducing maintenance work and further improving efficiency. Moreover, current signal detection can also assess the operating status of the track circuit's transmitting equipment, predicting equipment failures in advance and increasing the reliability of the track circuit.

[0077] This application provides a computer-readable storage medium storing a computer program thereon. When the program is executed by a microprocessor of a processing circuit, it implements a method for instantaneous current impulse detection of a sampled current using a built-in preset algorithm, as described in this application.

[0078] In practical applications, the computer-readable storage medium can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. For example, a computer-readable storage medium can be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0079] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0080] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0081] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0082] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on its differences from other embodiments. In particular, the apparatus embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0083] The above description is merely an exemplary implementation of this application and is not intended to limit the scope of protection of this application.

Claims

1. An auxiliary circuit for a circuit breaker, characterized in that, Connected in series at the front end of the circuit breaker, the circuit includes: a data acquisition circuit, a processing circuit, and a control circuit; The acquisition circuit is connected in series with the circuit breaker circuit to acquire the sampling current and send the sampling current to the processing circuit for diagnosis; the sampling current is determined by the acquisition circuit acquiring the current of the track circuit. The processing circuit is connected to the acquisition circuit and the control circuit, and is used to receive the sampled current sent by the acquisition circuit, diagnose whether the sampled current is caused by a current surge through a built-in preset algorithm, and send the diagnosis result to the control circuit; the built-in preset algorithm is an algorithm pre-stored in the processing circuit, used to diagnose whether the overcurrent of the sampled current is caused by a current surge. The control circuit is connected to the acquisition circuit and the processing circuit, and is used to control the state of the circuit breaker circuit according to the diagnostic results of the processing circuit; the state of the circuit breaker circuit includes closing the circuit breaker circuit and closing the circuit breaker circuit. The built-in preset algorithm is a fusion algorithm of wavelet transform and BP neural network; The wavelet transform and BP neural network fusion algorithm includes: The sampling current acquired by the acquisition circuit is decomposed and reconstructed by the wavelet transform to obtain a reconstructed image, which includes the target reconstruction detail signal. The preset index feature value of the target reconstructed detail signal is input into the BP neural network to train the BP neural network; the preset index is used to describe the features of the target reconstructed detail signal. The preset indicators include variance, mean, skewness, maximum value, root square magnitude, margin factor, waveform factor, and impulse index.

2. The circuit according to claim 1, characterized in that, The acquisition circuit includes: an access circuit, a current differential output circuit, and an overcurrent detection output circuit; The access circuit is used to connect in series to the front end of the circuit breaker circuit; The input terminal of the current differential output circuit is connected to the access circuit, and the two output terminals of the current differential output circuit are connected to the processing circuit, which is used to send the real-time sampled current to the processing circuit for storage. The input terminal of the overcurrent detection output circuit is connected to the access circuit, and the output terminal of the overcurrent detection output circuit is connected to the processing circuit; the overcurrent detection output circuit is connected in parallel with the current differential output circuit; the overcurrent detection output circuit is used to determine that the sampled current is in an overcurrent state, and sends the overcurrent state to the processing circuit for diagnosing that the overcurrent is caused by a transient current surge.

3. The circuit according to claim 2, characterized in that, Sending the sampled current to the processing circuit for diagnosis includes: The processing circuit receives the sampled current; in response to the output terminal of the overcurrent detection output circuit being at a high level, it diagnoses the sampled current using a built-in preset algorithm.

4. The circuit according to claim 3, characterized in that, The step of sending the sampled current to the processing circuit for diagnosis further includes: The overcurrent detection output circuit responds to the sampling current exceeding a preset threshold by determining that the output terminal of the overcurrent detection output circuit outputs the high level.

5. The circuit according to claim 1, characterized in that, The circuit also includes: a communication circuit; The communication circuit is connected in parallel with the control circuit and the acquisition circuit, and is used to enable the circuit breaker circuit to communicate with the external operating platform through circuit carrier communication.

6. The circuit according to claim 5, characterized in that, The communication circuit further includes a signal receiving end and a signal transmitting end, which are connected to the processing circuit and are used to issue alarm information based on the diagnostic results of the processing circuit.

7. The circuit according to claim 1, characterized in that, The step of controlling the state of the circuit breaker circuit based on the diagnostic results of the processing circuit includes: In response to the diagnostic result of the processing circuit being a transient current surge, the control circuit outputs a low level and closes the circuit breaker circuit.

8. The circuit according to any one of claims 1-7, characterized in that, The processing circuit includes a microprocessor; the microprocessor includes a storage module and a processing module. The storage module is used to store program code and the sampled current, and to transmit the program code and the sampled current to the processing module; The processing module is used to diagnose whether the sampled current is caused by an instantaneous current surge, based on the instructions in the program code.

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