Safety control method and device based on mechanical characteristics of circuit breaker

Abstract

Embodiments of the present disclosure disclose a safety control method and device based on mechanical characteristics of a circuit breaker. A specific implementation of the method includes: collecting action state data of a target circuit breaker to obtain multi-source action state data; dividing the multi-source action state data into action stages to generate an action stage information sequence; extracting multi-stage features from the multi-source action state data to generate mechanical features of each action stage; performing multi-modal mechanical detection on the mechanical features of each action stage; predicting the service life of the multi-stage mechanical features to generate circuit breaker residual life information; in response to receiving a device operation request, generating a circuit breaker safety control strategy, and performing a corresponding safety control operation. This implementation can divide the circuit breaker action process into stages and extract multi-modal features, thereby accurately identifying different types of mechanical abnormalities, and then implementing safety control when the safety risk increases, to improve device safety.

Description

Technical Field

[0001] The embodiments disclosed herein relate to the field of computer technology, and specifically to a safety control method and apparatus based on the mechanical characteristics of circuit breakers. Background Technology

[0002] High-voltage circuit breakers are crucial devices in power systems used to connect and disconnect circuits and isolate faults. The reliability of their opening and closing actions directly impacts line protection and power supply safety. After long-term operation, circuit breakers may experience wear, jamming, increased bounce, or asynchronous operation in their coils, cores, springs, transmission mechanisms, and contacts. Currently, parameters such as opening and closing time, bounce time, travel, speed, and coil current are typically collected, and the circuit breaker's safety status is determined based on whether these parameters exceed threshold values.

[0003] However, when using parameter threshold comparison, there is a lack of continuous judgment on the degradation trend of the circuit breaker through the complete operation process. Therefore, when problems such as coil hysteresis, mechanism jamming, increased contact bounce, or three-phase operation dispersion have not yet reached the obvious fault threshold, the circuit breaker will still be put into use, thereby accelerating the aging of the circuit breaker and reducing equipment safety. Summary of the Invention

[0004] The summary portion of this disclosure is intended to provide a brief overview of the concepts, which will be described in detail in the detailed description portion. This summary portion is not intended to identify key or essential features of the claimed technical solutions, nor is it intended to limit the scope of the claimed technical solutions.

[0005] Some embodiments of this disclosure provide safety control methods, devices, electronic equipment, and computer-readable media based on the mechanical characteristics of circuit breakers to address the technical problems mentioned in the background section above.

[0006] In a first aspect, some embodiments of this disclosure provide a safety control method based on the mechanical characteristics of a circuit breaker. The method includes: acquiring operating state data of a target circuit breaker based on circuit breaker operation control information and multi-source sensors to obtain multi-source operating state data; dividing the multi-source operating state data into operating stages to generate an operating stage information sequence, wherein each operating stage information is the start and end time of the corresponding operating stage, and the operating stages include: a static reference stage, an electromagnetic drive stage, a mechanism transmission acceleration stage, a contact state change stage, a contact bounce stage, and a buffer stabilization stage; and extracting multi-stage features from the multi-source operating state data based on the operating stage information sequence to generate various dynamic features. The circuit breaker is configured with mechanical characteristics for each operational stage, each stage exhibiting a different modality. Multimodal mechanical detection is performed on these mechanical characteristics to generate multi-stage mechanical features, circuit breaker mechanical state type, and circuit breaker mechanical safety level. Based on the circuit breaker mechanical state type, circuit breaker mechanical safety level, and historical operational information set, the service life of the multi-stage mechanical features is predicted to generate remaining service life information for the circuit breaker. In response to a received equipment operation request, a circuit breaker safety control strategy is generated based on the circuit breaker mechanical state type, circuit breaker mechanical safety level, and remaining service life information, and the corresponding safety control operation is executed.

[0007] Secondly, some embodiments of this disclosure provide a safety control device based on the mechanical characteristics of a circuit breaker. The device includes: an operation state data acquisition unit configured to acquire operation state data of a target circuit breaker based on circuit breaker operation control information and multi-source sensors to obtain multi-source operation state data; an operation stage division unit configured to divide the multi-source operation state data into operation stages to generate an operation stage information sequence, wherein each operation stage information is the start and end time of the corresponding operation stage, and the operation stages include: a static reference stage, an electromagnetic drive stage, a mechanism transmission acceleration stage, a contact state change stage, a contact bounce stage, and a buffer stabilization stage; and a multi-stage feature extraction unit configured to extract multi-stage features from the multi-source operation state data based on the operation stage information sequence to generate various... The system comprises: a mechanical characteristic for each operating stage, wherein the modality of the mechanical characteristic for each operating stage is different; a multimodal mechanical detection unit configured to perform multimodal mechanical detection on the mechanical characteristics of each operating stage to generate multi-stage mechanical characteristics, circuit breaker mechanical state type, and circuit breaker mechanical safety level; a service life prediction unit configured to predict the service life of the multi-stage mechanical characteristics based on the circuit breaker mechanical state type, the circuit breaker mechanical safety level, and historical operating information set to generate circuit breaker remaining service life information; and a safety control unit configured to, in response to receiving a device operation request, generate a circuit breaker safety control strategy based on the circuit breaker mechanical state type, the circuit breaker mechanical safety level, and the circuit breaker remaining service life information, and execute a safety control operation corresponding to the circuit breaker safety control strategy.

[0008] Thirdly, some embodiments of this disclosure provide an electronic device, including: one or more processors; and a storage device having one or more programs stored thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation of the first aspect above.

[0009] Fourthly, some embodiments of this disclosure provide a computer-readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.

[0010] The above-described embodiments of this disclosure have the following beneficial effects: the safety control method based on the mechanical characteristics of circuit breakers in some embodiments of this disclosure can divide the circuit breaker operation process into stages and extract multi-modal features, thereby accurately identifying different types of mechanical anomalies, and then implementing safety control when safety risks increase, so as to improve equipment safety. Specifically, the reason for the reduction in the safety of related circuit breakers is that when using parameter threshold comparison, there is a lack of continuous judgment on the degradation trend of circuit breakers through the complete operation process. Therefore, when problems such as coil hysteresis, mechanism jamming, increased contact bounce, or three-phase operation dispersion have not yet reached a significant fault threshold, the circuit breaker will still be put into use, thereby accelerating the aging rate of the circuit breaker and reducing equipment safety. Based on this, the safety control method based on the mechanical characteristics of circuit breakers in some embodiments of this disclosure firstly collects the operation status data of the target circuit breaker according to the circuit breaker operation control information and multi-source sensors to obtain multi-source operation status data. Therefore, by synchronously collecting mechanical characteristics such as contact state, coil current, mechanical displacement, and vibration signals, as well as background information such as sound, temperature, intermittent time, and number of actions, the complete operating process of the circuit breaker from controlled operation to completion of action can be characterized. Then, the above multi-source action state data is divided into action stages to generate an action stage information sequence. Each action stage information includes the start and end times of the corresponding action stage. The action stages include: static reference stage, electromagnetic drive stage, mechanism transmission acceleration stage, contact state change stage, contact bounce stage, and buffer stabilization stage. Thus, a single operation of the circuit breaker can be divided into action stages such as electromagnetic drive, mechanism transmission, contact contact, and buffer stabilization, thereby aligning different types of mechanical anomalies with the controlled movement process of the circuit breaker. Subsequently, based on the above action stage information sequence, multi-stage feature extraction is performed on the above multi-source action state data to generate mechanical features for each action stage. The modalities of the mechanical features for each action stage are different. Therefore, for different action stages, the most significant mechanical features under each action stage can be extracted, thereby quantifying the state changes of the coils, mechanisms, contacts, and buffer components included in the circuit breaker. Next, multimodal mechanical detection is performed on the mechanical characteristics of each of the above-mentioned operation stages to generate multi-stage mechanical characteristics, circuit breaker mechanical state type, and circuit breaker mechanical safety level. Thus, through multimodal fusion, the characteristic manifestations of the same mechanical anomaly in different signals can be correlated, thereby reducing misjudgments or omissions of mechanical anomalies caused by random fluctuations of a single parameter, and improving the accuracy of equipment anomaly identification. For example, when the coil current integral, the mechanism start-up delay, and the maximum speed decrease simultaneously occur, it can usually characterize a mechanical anomaly of core jamming or mechanism stagnation type. Secondly, based on the above-mentioned circuit breaker mechanical state type, the above-mentioned circuit breaker mechanical safety level, and the historical operation information set, the service life of the above-mentioned multi-stage mechanical characteristics is predicted to generate the remaining service life information of the circuit breaker.Therefore, by analyzing historical operating states, the degradation trend of the target circuit breaker from normal break-in and stable operation to accelerated aging can be identified, thus allowing for early detection of the safety risks associated with continued frequent operation of the circuit breaker under critical conditions. Finally, in response to a received equipment operation request, a circuit breaker safety control strategy is generated based on the circuit breaker's mechanical state type, mechanical safety level, and remaining lifespan information, and the corresponding safety control operations are executed. This allows the circuit breaker's mechanical and lifespan states to be transformed into safety control strategies such as permissive, limiting, compensating, or blocking controls, thereby reducing the mechanical and electrical shocks caused by continued abnormal circuit breaker operation and improving equipment safety. Attached Figure Description

[0011] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and elements are not necessarily drawn to scale.

[0012] Figure 1 This is a flowchart of some embodiments of the safety control method based on the mechanical characteristics of a circuit breaker according to the present disclosure;

[0013] Figure 2 This is a schematic diagram of the connection between the three-break circuit breaker and the high-voltage switch tester.

[0014] Figure 3 This is a schematic diagram of the connection between the six-break circuit breaker and the high-voltage switch tester.

[0015] Figure 4 This is a schematic diagram of the structure of some embodiments of a safety control device based on the mechanical characteristics of a circuit breaker according to the present disclosure;

[0016] Figure 5 This is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure;

[0017] Figure 6 This is a schematic diagram of the opening and closing control wiring of the circuit breaker and high-voltage switch tester under the internal triggering mode. Detailed Implementation

[0018] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0019] It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings. Unless otherwise specified, the embodiments and features described in this disclosure can be combined with each other.

[0020] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0021] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0022] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

[0023] This disclosure will now be described in detail with reference to the accompanying drawings and embodiments.

[0024] Figure 1 A flow chart 100 of some embodiments of a safety control method based on the mechanical characteristics of a circuit breaker according to the present disclosure is shown. This safety control method based on the mechanical characteristics of a circuit breaker includes the following steps:

[0025] Step 101: Based on the circuit breaker action control information and multi-source sensors, collect action status data of the target circuit breaker to obtain multi-source action status data.

[0026] In some embodiments, the execution subject (e.g., a computing device) of the safety control method based on the mechanical characteristics of the circuit breaker can collect the action status data of the target circuit breaker according to the circuit breaker action control information and multi-source sensors to obtain multi-source action status data.

[0027] The target circuit breaker mentioned above can be a high-voltage circuit breaker. The circuit breaker operation control information mentioned above can be instruction information used to control the target circuit breaker to perform the corresponding operation. The circuit breaker operation control information may include control operation type, triggering mode identifier, control voltage, and voltage output time.

[0028] The aforementioned control action types may include, but are not limited to, the following: closing type, opening type, opening-closing type, closing-opening type, opening-closing-opening type, closing-opening-closing type, reclosing type, low-pump test type, and aging test type. The closing type refers to the target circuit breaker switching from an open state to a closed state. The opening type refers to the target circuit breaker switching from a closed state to an open state. The opening-closing-opening type refers to the target circuit breaker switching from an open state to a closed state and then back to an open state. The closing-opening-closing type refers to the target circuit breaker switching from a closed state to an open state and then back to a closed state. The reclosing type refers to the target circuit breaker closing again after a preset time following a single opening. The low-pump test type refers to testing the reliable operation of the target circuit breaker under different control voltages. The aging test type refers to repeatedly opening and closing the target circuit breaker multiple times to observe its operational stability.

[0029] The aforementioned triggering method identifier is used to characterize how the target circuit breaker's operation is initiated or timed, and can include internal triggering method identifiers and external triggering method identifiers. The internal triggering method identifier indicates that the control device outputs a control voltage to the target circuit breaker's opening or closing coil, causing the circuit breaker to perform the corresponding closing or opening action. In the internal triggering mode, the moment the control device outputs the voltage can be used as the start time for action timing. The external triggering method identifier indicates that the circuit breaker's operation is not directly controlled by the control device, but rather by collecting changes in the voltage, current, or auxiliary contacts of the opening and closing coils in the target circuit breaker's own control circuit, using these as the basis for action triggering and timing. In the external triggering mode, the moment a sudden change in coil voltage or current is detected can be used as the start point of the operation. The aforementioned control device can be a high-voltage switch tester. The aforementioned high-voltage switch tester can be equipped with a total of twelve break test input interfaces. Each break has four wires: A1 (yellow wire), B1 (green wire), and C1 (red wire) are connected to the three-phase moving contact terminals, and GND (black wire) is connected to the stationary contact (three-phase short circuit). It can sample and test circuit breakers (switches) with a total of six breaks.

[0030] The aforementioned control voltage can be a drive voltage applied to the opening coil, closing coil, or related control circuit of the target circuit breaker. For example, the aforementioned control voltage can be DC20V (i.e., 20 volts) to DC270V (i.e., 270 volts). The aforementioned voltage output time refers to the length of time that the aforementioned control voltage continuously acts on the coil or control circuit of the target circuit breaker.

[0031] The aforementioned multi-source sensors may include, but are not limited to: break-point status sensors, current sensors, displacement sensors, angular displacement sensors, vibration sensors, sound sensors, temperature sensors, and resistance measuring instruments. The aforementioned multi-source operational status data may be multi-source parameter data collected during a complete operation of the aforementioned target circuit breaker.

[0032] It should be noted that the aforementioned computing devices can be either hardware or software. When the computing device is hardware, it can be implemented as a distributed cluster consisting of multiple servers or terminal devices, or as a single server or a single terminal device. When the computing device is software, it can be installed on the hardware devices listed above. It can be implemented as, for example, multiple software programs or software modules used to provide distributed services, or as a single software program or software module. No specific limitations are made here. It should be understood that the number of the aforementioned computing devices can be arbitrary, depending on the implementation requirements.

[0033] In practice, when the target circuit breaker performs a tripping, closing, or reclosing action, the aforementioned executing entity can first read the circuit breaker action control information to determine the control action type and the trigger time of this control action. Then, the executing entity can set a fixed acquisition time window before and after the trigger time, and acquire the target circuit breaker's tripping state, coil current, mechanism displacement, vibration response, and sound response through the tripping interface acquisition channel, coil current acquisition channel, travel sensor, vibration sensor, and sound sensor, respectively. Simultaneously, it can read the ambient temperature, determine the action interval time, cumulative action count, and contact resistance as background operating information. Finally, the acquired data is aligned according to the acquisition time to obtain multi-source action status data.

[0034] In some optional implementations of certain embodiments, the aforementioned execution entity may acquire multi-source operation status data by collecting operation status data of the target circuit breaker based on circuit breaker operation control information and multi-source sensors through the following steps:

[0035] The first step is to execute the corresponding control action on the target circuit breaker according to the action type represented by the aforementioned circuit breaker action control information. In practice, the executing entity can output a control voltage to the target circuit breaker for a duration equal to the voltage output time, according to the triggering method identifier represented by the aforementioned circuit breaker action control information, thereby controlling the target circuit breaker to complete a control action that matches the control action type included in the circuit breaker action control information.

[0036] like Figure 2 and Figure 3 The diagrams shown depict the connection points of three-break and six-break circuit breakers. All break test input interfaces in the high-voltage switchgear tester are used. The connection method is as follows: A1 and A2 are connected to the yellow wires for break input; B1 and B2 are connected to the green wires for break input; and C1 and C2 are connected to the red wires for break input. For three-phase three-break circuit breakers, only the first break test signal input interface needs to be used, with break point A1 being the main break point. It should be noted that both three-break and six-break circuit breakers share a common GND interface.

[0037] like Figure 6 As shown, in internal trigger mode, the internal power supply of the high-voltage switch tester is used. The closing control line (red), opening control line (green), and common line (black) are connected to the "internal trigger" port (aviation plug) on ​​the high-voltage switch tester panel. When the high-voltage switch tester is opening, closing, or outputting negative power, it must generally be connected before the auxiliary switch contact (to effectively protect the coil and instrument). When wiring, be careful to disconnect the circuit breaker's own operating power supply (disconnect the knife cutter or remove the fuse) to avoid conflict between the two power supplies.

[0038] The second step involves using multi-source sensors to synchronously collect the breakout status signal, coil current signal, mechanism displacement signal, equipment vibration signal, equipment sound signal, and operating background information of the target circuit breaker within the target window as initial multi-source action status data. The target window corresponds to the control action.

[0039] It should be noted that the aforementioned circuit breaker action control information corresponds to a target window. The target window consists of the command issuance time, the pre-acquisition duration, and the action acquisition duration. The pre-acquisition duration can be the time for static parameter acquisition before executing the control action. The action acquisition duration corresponds to the type of control action; since the completion time of each control action is different, the corresponding action acquisition duration is also different. In practice, the executing entity can perform continuous parameter acquisition matching the pre-acquisition duration before the command issuance time, and perform continuous parameter acquisition matching the action acquisition duration after the command issuance time, to cover one complete action of the target circuit breaker.

[0040] In practice, firstly, the aforementioned executing entity can collect the opening and closing states of each phase of the target circuit breaker through the aforementioned break-state sensor, and obtain the break-state signal B(t) = (b A (t), b B (t), b C (t)). Where B(t) can be the break state at time t. A (t), b B (t) and b C (t) represents the break state of phase A, phase B, and phase C at time t. For example, b A A value of 0 for (t) indicates that phase A is in an open state. A The value of (t) is 1, which can indicate that phase A is in a closed state.

[0041] Then, the aforementioned executing entity can acquire the current value of the opening or closing coil in the target circuit breaker during the control operation process using the aforementioned current sensor, thereby obtaining a coil current signal. This coil current signal consists of the closing coil current value and the opening coil current value at each acquisition time point. For example, when performing a closing operation, the closing coil current value is acquired at each time point. When performing a opening operation, the opening coil current value is acquired at each time point.

[0042] Subsequently, the aforementioned actuator can acquire the displacement values ​​of the target structure within the target circuit breaker using a displacement sensor (e.g., a linear displacement sensor) or an angular displacement sensor to obtain a mechanism displacement signal. The target structure can be, but is not limited to, a moving contact, connecting rod, crank arm, or main shaft. The mechanism displacement signal can be the linear displacement value or equivalent travel of the target structure during the circuit breaker's operation at each acquisition time point. For example, when using an angular displacement sensor, the equivalent travel can be determined by multiplying the difference between the angle value acquired by the angular displacement sensor after completing the control action and the angle value acquired before executing the control action, and the conversion factor between angular displacement and linear travel; this will not be elaborated further here.

[0043] Secondly, the aforementioned executing entity can collect the mechanical impact and vibration response of the target circuit breaker during its operation using vibration sensors (such as accelerometers) to obtain equipment vibration signals. These equipment vibration signals can be composed of vibration acceleration values ​​in the X, Y, and Z directions in a local coordinate system of the equipment established with the installation position of the vibration sensor as the reference at each acquisition time point.

[0044] Next, the aforementioned executing entity can use a sound sensor (such as a microphone) to collect the sound signal generated by the circuit breaker during operation as the device sound signal.

[0045] Subsequently, the aforementioned executing entity can use temperature sensors and resistance measuring instruments to collect the ambient temperature of the environment where the target circuit breaker is located and the contact resistance of the target circuit breaker, and determine the action interval time (i.e., the interval between executing the current control action and executing the previous control action), the cumulative number of actions, the measured ambient temperature, and the measured contact resistance value as operating background information.

[0046] Finally, the aforementioned executing entity can determine the break status signal, coil current signal, mechanism displacement signal, equipment vibration signal, equipment sound signal, and operating background information as the initial multi-source action status data.

[0047] The third step is to perform time synchronization processing on the initial multi-source motion state data to obtain multi-source motion state data. In practice, since the sampling frequencies of the fracture state signal, coil current signal, mechanism displacement signal, equipment vibration signal, and equipment sound signal may be different, the aforementioned actuator can use the time axis of the fracture state signal or coil current signal as the reference time axis, and interpolate (e.g., cubic spline interpolation) and resample the mechanism displacement signal, equipment vibration signal, and equipment sound signal according to the same sampling frequency, thereby synchronizing the time axes of different types of signals.

[0048] Step 102: Divide the multi-source action state data into action stages to generate an action stage information sequence.

[0049] In some embodiments, the executing entity can divide the multi-source action state data into action stages to generate an action stage information sequence. Each action stage information is the start and end time of the corresponding action stage. The action stages include: a static reference stage, an electromagnetic drive stage, a mechanism transmission acceleration stage, a contact state change stage, a contact bounce stage, and a buffer stabilization stage.

[0050] The aforementioned static reference stage can be the stage where the target circuit breaker remains stationary before receiving the opening or closing control action, when the mechanism, contacts, and transmission components are all stationary. The aforementioned electromagnetic drive stage can be the stage where the opening or closing coil of the target circuit breaker has begun to be energized, but the mechanical mechanism has not yet undergone significant movement. The aforementioned mechanism transmission acceleration stage can be the stage where the mechanical mechanism of the target circuit breaker has begun to move and gradually accelerates from its initial state to its maximum speed, with the moving contact gradually approaching the opening or closing position. The aforementioned contact state change stage can be the stage where the moving and stationary contacts of the target circuit breaker begin to undergo actual contact changes. For example, in a closing operation, the contact state change stage corresponds to the process where the moving contact gradually approaches and first contacts the stationary contact. In an opening operation, the contact state change stage corresponds to the process where the moving and stationary contacts begin to separate from the contact state. The aforementioned contact bounce stage can be the stage where, after the first contact or separation of the moving and stationary contacts of the target circuit breaker, reciprocating bounces occur due to mechanical inertia, elastic impact, or insufficient buffering, and the break state may change multiple times. The aforementioned buffer stabilization stage can be a stage where the main actions of the target circuit breaker (such as opening or closing) have been completed, but the mechanism still experiences buffering, rebound, residual vibration, or residual displacement changes.

[0051] In practice, for different types of control actions, the aforementioned executing entity can divide the action into stages according to corresponding fixed time nodes to generate information on each action stage, and arrange them in chronological order to obtain a sequence of action stage information.

[0052] In some optional implementations of certain embodiments, the aforementioned execution entity may divide the multi-source action state data into action stages through the following steps to generate an action stage information set:

[0053] The first step is to determine the coil excitation time based on the coil current signal included in the aforementioned multi-source action status data. This coil excitation time can be the point at which the coil current begins to rise effectively from its resting state, i.e., the point at which the control circuit begins to apply effective drive current to the opening or closing coil. In practice, firstly, the actuator can capture various coil current values ​​collected within a certain period before executing the control action (i.e., the pre-collection time), and determine the fluctuation range of the captured coil current values ​​as the coil current reference range. Then, the actuator can determine the point in the coil current signal where it first continuously exceeds the aforementioned coil current reference range as the coil excitation time.

[0054] The second step involves determining the mechanism start-up time, peak speed time, and buffer stabilization time based on the mechanism displacement signals included in the aforementioned multi-source action status data. The mechanism start-up time can be the point in time when the mechanical mechanism of the target circuit breaker transitions from a static state to a detectable motion state. The peak speed time can be the point in time when the mechanism's displacement change rate reaches its maximum value. The buffer stabilization time can be the point in time when the displacement change tends to stabilize after the mechanism completes its main action (e.g., closing or opening).

[0055] In practice, the aforementioned execution entity can first smooth the mechanism displacement signals included in the multi-source motion state data to reduce sensor jitter. Then, the execution entity can determine the motion speed of each mechanism by the ratio of the displacement change between adjacent sampling points to the time difference. Next, when the determined mechanism motion speed first continuously exceeds a preset starting speed threshold, the corresponding time point is determined as the mechanism starting moment. Afterward, the execution entity can determine the maximum value of the mechanism motion speed within the time period following the mechanism starting moment and determine the time point corresponding to the maximum mechanism motion speed as the speed peak moment. Finally, the execution entity can find the time point within the time period following the speed peak moment where the mechanism motion speed is continuously lower than a preset stable speed threshold, and the displacement change between adjacent sampling points remains within a preset stable change range, and determine the found time point as the buffer stabilization moment.

[0056] For example, in a single tripping action, the coil current initially rises, followed by a change in the spindle angular displacement. The start-up moment can be determined when the spindle angular velocity first stably exceeds the starting threshold. The peak speed moment can be determined when the spindle angular velocity reaches its maximum. The stroke stabilization moment can be determined when the spindle angular displacement no longer changes significantly (i.e., within the preset stable variation range).

[0057] The third step involves determining the initial contact change time and the contact bounce end time based on the break state signals included in the aforementioned multi-source operation status data. The initial contact change time can be the point in time when the break state of the target circuit breaker first undergoes an effective change. For example, in a closing operation, the initial contact change time can be the point in time when the break state of the target circuit breaker first changes from the open position to the closed position. In a opening operation, the initial contact change time can be the point in time when the break state of the target circuit breaker first changes from the closed position to the open position. The contact bounce end time can be the point in time when the break state of the target circuit breaker no longer undergoes effective reciprocating changes and enters a stable state after the initial contact or initial separation, used to determine the end position of the contact bounce phase.

[0058] In practice, firstly, the aforementioned executing entity can perform debouncing on the circuit breaker status signal to remove invalid transitions with excessively short durations. Then, the executing entity can determine the target change direction of the circuit breaker status according to the control action type. For example, for a closing action, the target change direction could be the circuit breaker's status changing from open to closed; in this case, the executing entity can find the effective time point when the circuit breaker status first changes from open to closed. For a tripping action, the target change direction could be the circuit breaker's status changing from closed to open; in this case, the executing entity can find the effective time point when the circuit breaker status first changes from closed to open. Afterward, the executing entity can continuously monitor the change in the circuit breaker status until the circuit breaker status signal no longer experiences any effective transitions within a preset stable duration, and the time point after the last effective transition ends is determined as the contact bounce end time.

[0059] For example, during a closing operation, the A-phase port of the target circuit breaker first changes from open to closed, and then experiences multiple brief separations and re-contacts due to contact impact. When the port finally remains closed and continues for more than the preset stabilization time, the last effective transition moment before the contact stabilizes can be determined as the contact bounce end moment.

[0060] The fourth step involves generating a sequence of action stage information based on the determined coil excitation time, mechanism start-up time, peak speed time, first contact change time, contact bounce end time, and buffer stabilization time. This sequence of action stage information is obtained by arranging the information from each action stage in chronological order. Each action stage can include the stage start time and stage end time.

[0061] In practice, firstly, the aforementioned executing entity can define the time interval from the start time of data acquisition to the excitation time of the coil as the action phase information corresponding to the static reference stage, used to characterize the static state of the target circuit breaker before control action. Then, the aforementioned executing entity can define the time interval from the excitation time of the coil to the start time of the mechanism as the action phase information corresponding to the electromagnetic drive stage, used to characterize the process where the coil of the target circuit breaker is energized but the target mechanism has not yet moved significantly. Next, the aforementioned executing entity can define the interval from the start time of the mechanism to the peak speed time as the action phase information corresponding to the mechanism transmission acceleration stage, used to characterize the process where the operating mechanism gradually accelerates from start-up. Then, the aforementioned executing entity can define the time interval from the peak speed time to the first change in contact time as the action phase information corresponding to the contact state change stage, used to characterize the process where the target mechanism of the target circuit breaker moves at high speed and pushes the contacts to make contact or separate. Finally, the aforementioned executing entity can define the time interval from the first change in contact time to the end of contact bounce time as the action phase information corresponding to the contact bounce stage, used to characterize the bounce process after the first contact or separation of the contacts. Finally, the aforementioned executing entity can define the time interval between the end of the contact bounce and the buffer stabilization time as the action stage information corresponding to the buffer stabilization stage, which is used to characterize the process in which the contact state has stabilized but the target mechanism still has buffering, rebound, or residual vibration.

[0062] Step 103: Based on the sequence of action stage information, perform multi-stage feature extraction on the multi-source action state data to generate mechanical features for each action stage.

[0063] In some embodiments, the executing entity may perform multi-stage feature extraction on the multi-source action state data based on the action stage information sequence to generate mechanical features for each action stage. The modalities of the mechanical features for each action stage are different.

[0064] In practice, during the electromagnetic drive phase, the actuator can extract the maximum coil current, the coil current rise time, and the time interval between coil energization and mechanism start-up as the corresponding mechanical characteristics of the action phase. During the mechanism transmission acceleration phase, the actuator can extract the mechanism start-up time, acceleration time, maximum speed, and acceleration stroke as the corresponding mechanical characteristics of the action phase. During the contact state change phase, the actuator can extract the closing or opening speed, the three-phase contact action time difference, and the first contact change time as the corresponding mechanical characteristics of the action phase. During the contact bounce phase, the actuator can extract the number of bounces (i.e., the number of transitions), bounce duration, peak vibration value during the bounce phase, and sound impact intensity as the corresponding mechanical characteristics of the action phase. During the buffer stabilization phase, the actuator can extract the stroke stabilization time, equipment vibration signal stabilization time, and rebound stroke as the corresponding mechanical characteristics of the action phase.

[0065] In some optional implementations of certain embodiments, the aforementioned execution entity may perform multi-stage feature extraction on the aforementioned multi-source action state data based on the aforementioned action stage information sequence through the following steps to generate mechanical features for each action stage:

[0066] The first step involves extracting current features from the coil current signals included in the multi-source action state data, based on the action stage information corresponding to the aforementioned electromagnetic drive stage, to generate current response features. These current response features can be used to characterize the driving capability of the coil after energization and the electromagnetic response state of the target mechanism before startup.

[0067] In practice, the aforementioned actuator can extract current signal segments from the coil current signal according to the time interval represented by the action stage information corresponding to the electromagnetic drive stage. Then, the actuator can extract the current peak value, current rise slope (i.e., the slope between the current peak value and the current valley value), current duration, current-time integral (if it is discrete sampling, it can be replaced by the sum of the products of the current value at each sampling point and the sampling interval), and energizing delay time (i.e., the delay time between the coil being energized and the mechanism starting, represented by the time difference between the mechanism starting time and the coil excitation time) from the extracted current signal segments, and concatenate the extracted parameters to obtain the current response characteristics.

[0068] The second step involves extracting mechanism features from the mechanism displacement signals included in the multi-source action state data, based on the action stage information corresponding to the aforementioned mechanism transmission acceleration stage, contact state change stage, and buffer stabilization stage, to generate mechanism transmission features. These mechanism transmission features can be used to characterize the motion state of the circuit breaker operating mechanism, main shaft, crank arm, connecting rod, or moving contact. The aforementioned mechanism displacement signals can be linear displacement signals or equivalent stroke signals converted from angular displacement signals.

[0069] In practice, firstly, the aforementioned executing entity can extract the mechanism starting speed (i.e., the ratio of the displacement change between the first and second mechanism displacement values ​​within the time interval represented by the action stage information corresponding to the mechanism transmission acceleration stage), the average speed of the acceleration phase (i.e., the average of the movement speeds of each mechanism within the interval), and the displacement change of the acceleration phase (i.e., the difference between the maximum and minimum displacement values ​​within the interval) from the mechanism displacement signal within the time interval represented by the action stage information corresponding to the contact state change stage. Then, the aforementioned executing entity can extract the displacement change before and after the contact state change (i.e., the difference between the maximum and minimum displacement values ​​within the interval), the closing speed, or the opening speed from the mechanism displacement signal within the time interval represented by the action stage information corresponding to the contact state change stage. For closing actions, the closing speed can be the average speed within a preset time window before the first contact closure (i.e., the moment of the first contact change). For opening actions, the opening speed can be the average speed within a preset time window after the first contact separation (also the moment of the first contact change). Finally, the aforementioned execution entity can extract the overshoot or rebound stroke (i.e., the difference between any mechanism displacement value within the time interval corresponding to the buffer stabilization phase and the maximum mechanism displacement value within the contact state change phase) from the mechanism displacement signal within the corresponding time range within the time interval represented by the action phase information corresponding to the buffer stabilization phase, and then splice the extracted parameters into mechanism transmission characteristics.

[0070] The third step involves extracting contact features from the multi-source action state data based on the action stage information corresponding to the electromagnetic drive stage, the contact state change stage, and the contact bounce stage, in order to generate contact bounce features.

[0071] In practice, firstly, the aforementioned executing entity can extract the A-phase action time, B-phase action time, and C-phase action time (i.e., the time difference between the first effective change time of each of the A-phase, B-phase, and C-phases in the break state information within the time interval represented by the action stage information corresponding to the contact state change stage) and the three-phase asynchrony duration (i.e., the time difference between the longest and shortest time among the A-phase, B-phase, and C-phase action times) from the break state signal within the corresponding time range, within the time interval represented by the action stage information corresponding to the contact bounce stage. Then, the aforementioned executing entity can extract the total number of effective jumps, the jump duration (i.e., the duration of the contact bounce stage, the duration between the first change time of the contact and the end time of the contact bounce), and the break bounce intensity (i.e., the product of the jump duration and the total number of effective jumps) from the break state signal within the corresponding time range. An effective jump can be a change in the break state (e.g., from 0 to 1 or from 1 to 0) and a jump duration greater than a preset jump time threshold. Finally, the aforementioned executing entity can concatenate the extracted parameters into contact bounce characteristics.

[0072] Fourth, based on the above sequence of action phase information, feature extraction is performed on the equipment vibration signal, equipment sound signal, and operating background information included in the multi-source action state data to generate equipment vibration features, equipment sound features, and operating background features. Specifically, the equipment vibration features characterize the mechanical impact, residual vibration, and structural loosening of the target circuit breaker during operation. The equipment sound features characterize the impact sound, friction sound, and bouncing sound generated during the operation of the target circuit breaker. The operating background features characterize the external operating conditions and usage status corresponding to the execution of this control action.

[0073] In practice, firstly, the aforementioned executing entity can divide the equipment vibration signal into multiple corresponding vibration signal segments according to the action stage information sequence, and extract the vibration peak value, vibration energy, and vibration modal energy entropy within each vibration signal segment as stage vibration features. The extracted stage vibration features are then concatenated in chronological order to form the equipment vibration features. The vibration modal energy entropy can be determined through the following steps: First, perform VMD (Variational Mode Decomposition) decomposition on the corresponding vibration signal segment to obtain the number of modes and the signals of each modal component. Second, determine the correlation coefficient between each modal component signal and the corresponding vibration signal segment using the correlation coefficient formula, and select modal components with correlation coefficients greater than or equal to a preset correlation coefficient threshold as valid modal component signals. Third, determine the component signal energy corresponding to each valid modal component signal, and obtain the energy proportion of each mode by determining the ratio between the energy of each component signal and the sum of the component signal energies. Fourth, use the following formula -∑p i ×ln(p) i Determine the energy entropy of the vibration modes. Where p i Let be the energy percentage of the i-th mode. ln() is the logarithmic function.

[0074] Then, for the device sound signal, the aforementioned execution entity can divide the device sound signal into multiple corresponding device sound signal segments according to the action stage information sequence, and extract the audio energy, MFCC coefficients, and spectrogram energy of each device sound signal segment as stage sound features. The extracted stage sound features are then concatenated in chronological order to form the device sound features. Finally, the aforementioned execution entity can extract ambient temperature, action interval time, cumulative action count, and contact resistance as operating background features from the operating background information.

[0075] The fifth step is to determine the above-mentioned current response characteristics, mechanism transmission characteristics, contact bounce characteristics, equipment vibration characteristics, equipment sound characteristics, and operating background characteristics as the mechanical characteristics of each action stage.

[0076] Step 104: Perform multimodal mechanical detection on the mechanical characteristics of each action stage to generate multi-stage mechanical characteristics, circuit breaker mechanical state type, and circuit breaker mechanical safety level.

[0077] In some embodiments, the aforementioned executing entity may perform multimodal mechanical detection on the mechanical characteristics of each of the aforementioned action stages to generate multi-stage mechanical characteristics, circuit breaker mechanical state type, and circuit breaker mechanical safety level.

[0078] The aforementioned circuit breaker mechanical condition types may include: normal condition, core jamming, mechanism stagnation, spring fatigue, abnormal contact bounce, loose base, and three-phase asynchrony. The aforementioned circuit breaker mechanical safety levels can be used to characterize the degree of risk when the circuit breaker performs opening, closing, reclosing, or continuous testing operations. These circuit breaker mechanical safety levels may include normal level, warning level, risk level, and danger level.

[0079] The "Normal State" type indicates that the coil response, mechanism movement, contact contact, and buffering process of the target circuit breaker are all within the normal range during the current control operation. The "Core Jamming" type indicates that the iron core corresponding to the opening or closing coil of the target circuit breaker experiences poor movement, increased friction, or localized jamming during the opening or closing process. The "Mechanical Obstruction" type indicates that the transmission mechanism (e.g., connecting rod, main shaft, or crank arm) or mechanical connection structure of the target circuit breaker experiences increased movement resistance, mechanical jamming, or poor movement during operation. The "Spring Fatigue" type indicates that the elasticity of the circuit breaker's energy storage spring, opening spring, or closing spring decreases after long-term operation, resulting in insufficient energy storage or weakened release capacity. The "Abnormal Contact Bounce" type indicates that the moving and stationary contacts of the target circuit breaker experience abnormal repeated impacts, reciprocating jumps, or decreased contact stability during contact or separation. The "Loose Base" type indicates that the mounting base, mechanism fixing structure, or mechanical support structure of the target circuit breaker is loose, poorly connected, or has reduced structural rigidity. The three-phase asynchronous anomaly type can characterize that there is a significant time difference in the action of phases A, B and C of the target circuit breaker during the opening or closing process.

[0080] The "Normal" level indicates that the target circuit breaker's current mechanical condition is within acceptable limits, key risk characteristics have not significantly exceeded limits, and the target circuit breaker can normally perform opening, closing, or routine control operations. The "Warning" level indicates that the target circuit breaker has experienced slight mechanical deviation, but this has not yet significantly affected its ability to complete opening or closing actions. It is mainly used to indicate early abnormalities or slight degradation in the target circuit breaker equipment, requiring recording or monitoring. The "Risk" level indicates that the target circuit breaker has significant mechanical abnormalities or degradation; continuing to perform reclosing, continuous testing, or high-frequency opening and closing may exacerbate mechanical damage or increase the risk of operational failure. The "Danger" level indicates that the target circuit breaker's current mechanical condition is close to a fault state; continuing to perform opening and closing, reclosing, or continuous testing may lead to refusal to operate, maloperation, increased contact damage, or increased system impact.

[0081] In practice, firstly, the aforementioned executing entity can pre-establish corresponding judgment rules for each mechanical state type. For example, the core jamming type references the delay time and current duration between coil energization and mechanism start-up, while the mechanism stagnation type mainly references the maximum speed, maximum displacement, and action time of the mechanism. Then, the executing entity can compare the extracted mechanical features of each action stage with the normal reference range of the corresponding parameters to obtain an anomaly score (i.e., the sum of all deviation ratios) for each mechanical state type. The mechanical state type with the highest anomaly score exceeding the preset identification threshold is designated as the circuit breaker mechanical state type. The deviation ratio can be the ratio of the difference between the value of the corresponding feature dimension and the nearest boundary value (i.e., the upper or lower limit) of the normal reference range of the corresponding parameter to the nearest boundary value.

[0082] Then, the implementing entity can determine the mechanical safety level of the circuit breaker based on the degree of exceedance of key characteristics corresponding to the determined mechanical state type of the circuit breaker. For example, a slight exceedance (the deviation ratio of one characteristic is greater than the first deviation ratio threshold) is determined to be a warning level, a significant exceedance (the deviation ratio of one characteristic is greater than the second deviation ratio threshold) is determined to be a risk level, and a severe exceedance (the deviation ratio of one characteristic is greater than the third deviation ratio threshold) or the simultaneous significant exceedance of multiple characteristics is determined to be a dangerous level. The third deviation ratio threshold is greater than the second deviation ratio threshold, which in turn is greater than the first deviation ratio threshold.

[0083] In some optional implementations of certain embodiments, the aforementioned executing entity may perform multimodal mechanical detection on the mechanical characteristics of each of the above-mentioned action stages through the following steps to generate multi-stage mechanical characteristics, circuit breaker mechanical state type, and circuit breaker mechanical safety level:

[0084] The first step is to perform multimodal fusion on the mechanical features of each of the above-mentioned action stages to generate multi-stage mechanical features. In practice, the aforementioned executing entity can sequentially splice the mechanical features of each action stage according to the current mode, mechanism transmission mode, fracture bounce mode, vibration mode, sound mode, and background mode to generate multi-stage mechanical features.

[0085] The second step involves generating the circuit breaker mechanical state type based on the aforementioned multi-stage mechanical features and the pre-trained circuit breaker mechanical state recognition model. This model can be a neural network model that takes multi-stage mechanical features as input and outputs a circuit breaker mechanical state type label to identify the target circuit breaker's mechanical state. This model is trained using a historical multi-stage mechanical feature set and corresponding circuit breaker mechanical state type labels. For example, the model can be a Transformer neural network model, a CNN-LSTM neural network model, or a Transformer-LSTM neural network model. For instance, the model can consist of an input layer, a feature mapping layer, a Transformer encoding network, an LSTM temporal network, and a classification output layer.

[0086] The third step is to generate the mechanical safety level of the circuit breaker based on the above-mentioned mechanical state type and multi-stage mechanical characteristics.

[0087] It should be noted that each type of circuit breaker mechanical condition corresponds to different safety reference feature dimensions, mechanical condition warning thresholds, mechanical condition risk thresholds, and mechanical condition danger thresholds, and each safety reference feature dimension has a corresponding weight. The safety reference feature dimension can be a mechanical feature dimension used to assess the risk situation of the target circuit breaker under the corresponding mechanical condition type. For each type of circuit breaker mechanical condition, because the referenced mechanical feature dimensions are different, the threshold values ​​used to determine the safety level of the circuit breaker's mechanical condition also differ.

[0088] For example, when the mechanical condition type of the circuit breaker is core jamming, the corresponding safety reference characteristic dimensions may include the current-time integral dimension and energizing delay time dimension of the current response characteristics, and the displacement change dimension before and after the contact state change dimension of the mechanism transmission characteristics. As another example, when the mechanical condition type of the circuit breaker is contact bounce abnormality, the corresponding safety reference characteristic dimensions may include the break bounce intensity dimension, the total number of effective bounces dimension, and the bounce duration dimension of the contact bounce characteristics, as well as the vibration energy dimension of the stage vibration characteristics corresponding to the contact bounce stage and the audio energy dimension of the stage sound characteristics.

[0089] In practice, the aforementioned implementing entity can extract corresponding features from the multi-stage mechanical features according to the various safety reference feature dimensions corresponding to the aforementioned circuit breaker mechanical state types. Each extracted safety reference feature is then compared with its corresponding normal reference range, warning threshold, risk threshold, and danger threshold to obtain the deviation degree (i.e., deviation ratio) of each safety reference feature. Next, the implementing entity can weight and sum the deviation degrees according to their corresponding weights to obtain a comprehensive risk value. Finally, the implementing entity can determine the mechanical safety level of the circuit breaker by comparing the comprehensive risk value with the mechanical state warning threshold, mechanical state risk threshold, and mechanical state danger threshold corresponding to the aforementioned circuit breaker mechanical state type. For example, if the comprehensive risk value is greater than or equal to the mechanical danger threshold, the circuit breaker's mechanical safety level is dangerous. If the comprehensive risk value is greater than or equal to the mechanical risk threshold but less than the mechanical state danger threshold, the circuit breaker's mechanical safety level is risky.

[0090] In some optional implementations of certain embodiments, the aforementioned executing entity may perform multimodal fusion of the mechanical features of each of the aforementioned action stages through the following steps to generate multi-stage mechanical features:

[0091] The first step, for each mechanical feature of each motion stage, is to perform the following processing steps:

[0092] The first sub-step involves aligning the aforementioned mechanical features of each historical action stage according to the corresponding historical action stage mechanical feature sequence, resulting in aligned mechanical features. The aforementioned historical action stage mechanical feature sequence can be composed of mechanical features from various historical action stages arranged chronologically. These historical action stage mechanical features can be mechanical features extracted during the historical control operations of the target circuit breaker that belong to the same mode as the aforementioned action stage mechanical features. The specific generation method of the historical action stage mechanical features can be found in the implementation method of the corresponding action stage mechanical features, and will not be elaborated upon here.

[0093] In practice, for each feature in the aforementioned action phase mechanical features, the executing entity can obtain the aligned mechanical features by taking the mean and standard deviation of the aforementioned feature in the historical action phase mechanical feature sequence and standardizing the aforementioned feature (i.e., the ratio of the difference between the original feature value of the aforementioned feature and the determined mean to the standard deviation).

[0094] The second sub-step involves filtering the aligned mechanical features to generate effective mechanical features. In practice, the executing entity can use a feature selection algorithm (such as a random forest algorithm) to determine the feature importance of different dimensions of the mechanical features in each historical action stage within the effective reference range to the corresponding historical mechanical state types. Features with a feature importance greater than or equal to a preset feature importance threshold are selected as effective feature dimensions, and features in dimensions other than the effective feature dimensions are removed from the aligned mechanical features to obtain effective mechanical features. The historical circuit breaker mechanical state type can be the circuit breaker mechanical state type already identified during historical control actions, corresponding to the historical action stage mechanical features. The effective reference range can be a preset range of action counts. For example, the historical action stage mechanical features corresponding to the 100 most recent control actions relative to the current execution control action can be selected as the historical action stage mechanical features within the effective reference range.

[0095] It should be noted that as the mechanical condition of the circuit breaker continues to age, the sensitivity of each feature dimension in the mechanical feature machine of the same mode of operation to mechanical condition detection will also change with the aging of the mechanical condition. Therefore, the effective feature selection in this step is based only on the state fluctuation, feature stability, and correlation between the feature and the mechanical condition of the circuit breaker represented by the mechanical features of each historical operation stage within the effective reference range. Features of different dimensions are selected and retained only those with a high correlation to the current mechanical condition, thus obtaining the effective mechanical features suitable for this control operation.

[0096] The third sub-step involves performing dimensionality reduction on the aforementioned effective mechanical features to obtain dimensionality-reduced mechanical features. In practice, the aforementioned execution entity can use principal component analysis or linear mapping to perform dimensionality reduction on the aforementioned effective mechanical features to obtain dimensionality-reduced mechanical features.

[0097] The second step is to perform multimodal fusion on the various reduced mechanical features to generate multi-stage mechanical features. In practice, the aforementioned executing entity can, according to the sequence of action stages, splice, weightedly combine, or linearly map the various reduced mechanical features corresponding to the current mode, mechanism transmission mode, fracture bounce mode, vibration mode, sound mode, and background mode to generate multi-stage mechanical features.

[0098] Step 105: Based on the circuit breaker's mechanical condition type, mechanical safety level, and historical action information set, predict the service life of the multi-stage mechanical characteristics to generate the circuit breaker's remaining service life information.

[0099] In some embodiments, the executing entity can predict the service life of the multi-stage mechanical characteristics based on the circuit breaker mechanical state type, the circuit breaker mechanical safety level, and the historical operation information set, to generate remaining service life information of the circuit breaker. This remaining service life information can be used to characterize the remaining safe operating capability of the target circuit breaker.

[0100] In practice, the aforementioned execution entity can determine the degradation rate (i.e. the rate of change of feature value) of each feature dimension through the set of historical action information, and determine the shortest time for each feature in the above multi-stage mechanical features to degrade to an abnormal range value through the determined degradation rate, and determine the remaining number of actions as the remaining life information of the circuit breaker by multiplying the shortest time (in hours) and the number of operation limits within a preset unit time.

[0101] In some optional implementations of certain embodiments, the aforementioned execution entity may perform the following steps to predict the service life of the aforementioned multi-stage mechanical characteristics based on the aforementioned circuit breaker mechanical state type, the aforementioned circuit breaker mechanical safety level, and historical action information set, in order to generate circuit breaker remaining service life information:

[0102] The first step involves constructing circuit breaker service life characteristics and circuit breaker degradation trend characteristics based on the aforementioned historical action information set and multi-stage mechanical characteristics. Each historical action information in the historical action information set can include the historical circuit breaker mechanical state type, historical circuit breaker safety level, and historical multi-stage mechanical characteristics generated during the execution of the corresponding historical control action. The circuit breaker service life characteristics can be used to characterize the overall mechanical health status of the current target circuit breaker. The circuit breaker degradation trend characteristics can be used to characterize the changing trend of the target circuit breaker's mechanical state over time or the number of actions.

[0103] In practice, firstly, for each mode, the aforementioned executing entity can select the two feature dimensions with the greatest degree of change (i.e., the largest difference between the maximum and minimum values ​​within the range) from the various historical multi-stage mechanical features included in the historical action information set as the two degradation reference dimensions for the aforementioned mode. Then, the executing entity can remove features other than the determined degradation reference dimensions from the aforementioned multi-stage mechanical features to obtain the circuit breaker service life characteristics. Finally, the executing entity can select various historical action information within the effective reference range from the historical action information set as each effective historical action information, and determine the feature change rate (i.e., the ratio of the difference between the historical maximum and minimum values ​​to the time interval) under each degradation reference dimension through the historical multi-stage mechanical features included in each effective historical action information, and concatenate the determined feature change rates to obtain the circuit breaker degradation trend characteristics.

[0104] The second step involves estimating the equipment condition based on the aforementioned circuit breaker degradation trend characteristics and the circuit breaker service life characteristics to generate circuit breaker degradation features. These degradation features characterize the current degree of degradation of the target circuit breaker.

[0105] In practice, firstly, the aforementioned executing entity can determine the degradation trend intensity (i.e., the ratio of each feature's rate of change to the sum of all feature rates of change) of each degradation reference dimension in the circuit breaker degradation trend characteristics by analyzing the feature change rate corresponding to each degradation reference dimension, and then concatenate the individual degradation trend intensities into a degradation trend intensity feature. For example, when the feature change rate corresponding to a degradation reference dimension is large, it indicates that the mechanical state corresponding to that degradation reference dimension is deteriorating rapidly. Then, the executing entity can determine the degradation degree feature of the current target circuit breaker using the circuit breaker service life characteristics. This degradation degree feature can be used to characterize the degree of deviation of the current mechanical state of the target circuit breaker from its normal state. For example, when the maximum speed of the mechanism is significantly lower than the normal range, but its rate of change is small, it indicates that the current degradation degree of the target circuit breaker's mechanism is high, but the degradation rate is slow.

[0106] Specifically, in the first step, the aforementioned executing entity can first determine the corresponding historical normal reference value for each degradation reference dimension. The historical normal reference value can be the average, median, or center value of the stable interval for the corresponding degradation reference dimension in the historical action information set when the target circuit breaker is in normal operation. In the second step, the aforementioned executing entity can determine the degradation degree value (i.e., the difference) between the feature value and the corresponding historical normal reference value for each degradation reference dimension in the current circuit breaker service life feature, and concatenate the various degradation degree values ​​to form the degradation degree feature.

[0107] Finally, the aforementioned implementing entity can vertically splice together the circuit breaker degradation trend characteristics, circuit breaker degradation degree characteristics, degradation trend intensity characteristics, and circuit breaker service life characteristics to obtain the circuit breaker degradation characteristics.

[0108] The third step involves generating remaining circuit breaker lifespan information based on a pre-trained circuit breaker lifespan prediction model and the aforementioned circuit breaker degradation information. The circuit breaker lifespan prediction model can be a time-series neural network model trained using historical remaining circuit breaker lifespan information and historical circuit breaker degradation features to predict the remaining lifespan of the circuit breaker. The remaining lifespan information can be the remaining number of operations (e.g., closing and opening times). For example, the circuit breaker lifespan prediction model can be a Transformer model, a recurrent neural network model, or a deep neural network model. In practice, the executing entity can input circuit breaker degradation features into the circuit breaker lifespan prediction model and output the remaining lifespan information of the circuit breaker.

[0109] Step 106: In response to receiving the equipment operation request, generate a circuit breaker safety control strategy based on the circuit breaker mechanical state type, circuit breaker mechanical safety level and circuit breaker remaining life information, and execute the safety control operation corresponding to the circuit breaker safety control strategy.

[0110] In some embodiments, in response to receiving a device operation request, the execution entity can generate a circuit breaker safety control strategy based on the circuit breaker mechanical state type, the circuit breaker mechanical safety level, and the circuit breaker remaining life information, and execute a safety control operation corresponding to the circuit breaker safety control strategy.

[0111] In practice, the aforementioned implementing entities can pre-establish a safety control rule table and generate corresponding circuit breaker safety control strategies by querying the safety control rule table based on the circuit breaker's mechanical condition type, mechanical safety level, and remaining lifespan information. The aforementioned safety control rule table contains the applicable safety control strategies for different circuit breaker mechanical condition types, mechanical safety levels, and remaining lifespan ranges.

[0112] In some optional implementations of certain embodiments, the execution entity may, in response to receiving a device operation request, generate a circuit breaker safety control strategy based on the circuit breaker mechanical state type, the circuit breaker mechanical safety level, and the circuit breaker remaining life information, and execute a safety control operation corresponding to the circuit breaker safety control strategy by following these steps:

[0113] The first step is to determine the target operation type in response to receiving a device operation request for the target circuit breaker. The device operation request may be a request instruction to control the target circuit breaker to perform a corresponding action. The target operation type can be used to characterize the specific circuit breaker operation behavior to be performed by the circuit breaker operation request. The target operation type may include opening operation, closing operation, reclosing operation, continuous test operation, low-frequency test operation, and phase-selective closing operation.

[0114] In practice, the aforementioned executing entity can receive control commands from high-voltage switch testers or remote control systems (such as PCL control systems) and parse the corresponding operation types. For example, when a fault clearing command is received, the target operation type can be determined to be a tripping operation. When a line restoration command is received, the target operation type can be determined to be a closing operation. When an automatic reclosing command is received, the target operation type can be determined to be a reclosing operation.

[0115] The second step is to generate a circuit breaker safety control strategy based on the aforementioned circuit breaker mechanical condition type, circuit breaker mechanical safety level, and circuit breaker remaining life information. This circuit breaker safety control strategy may include, but is not limited to: permitted operation strategy, restricted continuous operation strategy, prohibited reclosing strategy, phase-selective closing restriction strategy, and early warning maintenance strategy.

[0116] Permissible operation strategies characterize control strategies that allow the target circuit breaker to execute corresponding operation requests normally, given that its current mechanical state is within permissible limits. Examples include not restricting opening operations, closing operations, reclosing operations, continuous testing operations, and not executing interlocking control. Restricted continuous operation strategies characterize control strategies that limit the target circuit breaker's continuous opening / closing, continuous testing, or high-frequency actions. Examples include allowing single operations but restricting repeated actions within a short period, limiting the number of continuous tests, or limiting the action interval. Prohibited reclosing strategies characterize control strategies that prohibit the target circuit breaker from performing automatic reclosing operations. Phase-selective closing restriction strategies characterize control strategies that restrict, modify, or prohibit the target circuit breaker from performing phase-selective closing operations. Early warning and maintenance strategies characterize control strategies that issue early warning prompts to the monitoring terminal.

[0117] In practice, the aforementioned implementing entities can generate corresponding circuit breaker safety control strategies based on the correspondence between the circuit breaker's mechanical state type, mechanical safety level, remaining life level, and target operation type. For example, when the circuit breaker's mechanical state type is normal, its mechanical safety level is normal, and its remaining life information is within the normal range (i.e., greater than or equal to the preset safe operation count), an operation-permitting strategy can be generated. When the circuit breaker's mechanical state type is core jamming, mechanism stagnation, or spring fatigue, and its mechanical safety level is a warning level, a strategy to restrict continuous operation can be generated (i.e., only single opening or closing is allowed, while continuous opening and closing operations are restricted). When the circuit breaker's mechanical state type is contact bounce abnormality, and the remaining life information shows that the remaining number of actions is less than or equal to the preset safe operation count but greater than or equal to the risk operation count, a reclosing prohibition strategy can be generated to reduce the risk of repeated contact impact and contact erosion. When the circuit breaker's mechanical state type is three-phase asynchrony abnormality, a phase-selective closing restriction strategy can be generated. When the mechanical safety level of the circuit breaker reaches the dangerous level or the remaining life information is lower than the preset number of risky operations, a blocking operation strategy can be generated (i.e., low-pump test, continuous test or reclosing operation is prohibited).

[0118] The third step involves generating target safety control instructions based on the aforementioned circuit breaker safety control strategy, and executing safety control operations corresponding to the strategy. These target safety control instructions may include permission instructions, restriction instructions, blocking instructions, time compensation instructions, or warning instructions.

[0119] In practice, firstly, the aforementioned executing entity can generate corresponding target safety control instructions according to the generated circuit breaker safety control strategy. For example, for an operation-permitting strategy, control instructions allowing opening or closing can be generated. For a continuous operation-restricting strategy, control instructions limiting the number of consecutive reclosings, the number of consecutive tests, or the minimum action interval can be generated. For a lockout operation strategy, control instructions locking the closing circuit, the reclosing circuit, or the test circuit can be generated. For a phase-selective closing restriction strategy, control instructions prohibiting phase-selective closing can be generated, or time compensation instructions for correcting the trigger timing can be generated. For an early warning and maintenance strategy, corresponding early warning information can be generated. For example, early warning information could be "Mechanism action sluggish, please check the core and release mechanism," "Contact bounce abnormal, please check the contact status," "Mechanism speed decreases, please check the spring energy storage mechanism," etc.

[0120] Then, the aforementioned executing entity can control the target circuit breaker control circuit or control system according to the target safety control command. For example, under the permission command, the executing entity can output the corresponding control voltage to the circuit breaker's opening or closing coil to perform the opening or closing action. Under the restriction command, the executing entity can restrict the circuit breaker from performing opening or closing actions again within a preset time window, thereby reducing continuous impact on the mechanism. Under the lockout command, the executing entity can disconnect the reclosing control circuit, closing control circuit, or test control circuit, thereby preventing the continued execution of dangerous operations under high-risk conditions. Under the time compensation command, the executing entity can refer to the current ambient temperature, the action interval time, and the complete time of performing one corresponding mechanical action to correct the closing trigger time, making the actual contact closing time of the circuit breaker closer to the target phase. For example, when the low temperature environment causes the mechanism action time to be prolonged, the executing entity can issue the closing trigger command in advance to reduce the deviation between the actual closing time and the target voltage zero crossing point. Under the warning prompt command, the aforementioned executing entities can upload the warning information to the monitoring terminal, dispatch terminal, or maintenance terminal to prompt maintenance personnel to carry out maintenance. Therefore, this application can not only detect the mechanical condition of the circuit breaker, but also dynamically execute corresponding safety controls based on the current mechanical condition and lifespan status, thereby reducing the risks of repeated impacts on the mechanism, abnormal contact impacts, reclosing risks, and inrush current and overvoltage risks caused by asynchronous actions, thus improving the safety of the circuit breaker.

[0121] Further reference Figure 4 As an implementation of the methods shown in the above figures, this disclosure provides some embodiments of a safety control device based on the mechanical characteristics of a circuit breaker. These device embodiments are similar to... Figure 1 Corresponding to the method embodiments shown, this safety control device based on the mechanical characteristics of a circuit breaker can be specifically applied to various electronic devices.

[0122] like Figure 4 As shown, a safety control device 400 based on the mechanical characteristics of a circuit breaker in some embodiments includes: an operation state data acquisition unit 401, an operation stage division unit 402, a multi-stage feature extraction unit 403, a multi-modal mechanical detection unit 404, a service life prediction unit 405, and a safety control unit 406. The operation state data acquisition unit 401 is configured to acquire operation state data of the target circuit breaker based on circuit breaker operation control information and multi-source sensors to obtain multi-source operation state data. The operation stage division unit 402 is configured to divide the multi-source operation state data into operation stages to generate an operation stage information sequence, wherein each operation stage information is the start and end time of the corresponding operation stage. The operation stages include: a static reference stage, an electromagnetic drive stage, a mechanism transmission acceleration stage, a contact state change stage, a contact bounce stage, and a buffer stabilization stage. The multi-stage feature extraction unit 403 is configured to extract multi-stage features from the multi-source operation state data based on the operation stage information sequence to generate mechanical features for each operation stage. The mechanical features have different modes; the multimodal mechanical detection unit 404 is configured to perform multimodal mechanical detection on the mechanical features of each of the above-mentioned operation stages to generate multi-stage mechanical features, circuit breaker mechanical state type and circuit breaker mechanical safety level; the service life prediction unit 405 is configured to predict the service life of the above-mentioned multi-stage mechanical features based on the above-mentioned circuit breaker mechanical state type, the above-mentioned circuit breaker mechanical safety level and historical operation information set to generate circuit breaker remaining service life information; the safety control unit 406 is configured to, in response to receiving a device operation request, generate a circuit breaker safety control strategy based on the above-mentioned circuit breaker mechanical state type, the above-mentioned circuit breaker mechanical safety level and the above-mentioned circuit breaker remaining service life information, and execute a safety control operation corresponding to the above-mentioned circuit breaker safety control strategy.

[0123] It is understandable that the units described in the safety control device 400 based on the mechanical characteristics of the circuit breaker are similar to those in the reference device. Figure 1 The steps in the described method correspond accordingly. Therefore, the operations, features, and beneficial effects described above for the method also apply to the safety control device 400 based on the mechanical characteristics of the circuit breaker and the units contained therein, and will not be repeated here.

[0124] The following is for reference. Figure 5It shows a schematic diagram of the structure of an electronic device (e.g., a computing device) 500 suitable for implementing some embodiments of the present disclosure. Figure 5 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments of this disclosure.

[0125] like Figure 5 As shown, the electronic device 500 may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory 502 or a program loaded from a storage device 508 into a random access memory 503. The random access memory 503 also stores various programs and data required for the operation of the electronic device 500. The processing unit 501, the read-only memory 502, and the random access memory 503 are interconnected via a bus 504. An input / output interface 505 is also connected to the bus 504.

[0126] Typically, the following devices can be connected to the input / output interface 505: input devices 506 including, for example, a touchscreen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and communication devices 509. Communication device 509 allows electronic device 500 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 5 An electronic device 500 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively. Figure 5 Each box shown can represent a device or multiple devices as needed.

[0127] In particular, according to some embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, some embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 509, or installed from a storage device 508, or installed from a read-only memory 502. When the computer program is executed by the processing device 501, it performs the functions defined above in the methods of some embodiments of this disclosure.

[0128] It should be noted that, in some embodiments of this disclosure, the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: 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 some embodiments of this disclosure, a computer-readable storage medium may 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. In some embodiments of this disclosure, a computer-readable signal medium may include a data signal 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. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0129] In some implementations, clients and servers can communicate using any currently known or future-developed network protocol such as HTTP (Hypertext Transfer Protocol) and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet of Things), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future-developed networks.

[0130] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device. The aforementioned computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to: acquire operating state data of the target circuit breaker based on circuit breaker action control information and multi-source sensors, obtaining multi-source operating state data; divide the aforementioned multi-source operating state data into operating stages to generate an operating stage information sequence, wherein each operating stage information is the start and end time of the corresponding operating stage, and the operating stages include: a static reference stage, an electromagnetic drive stage, a mechanism transmission acceleration stage, a contact state change stage, a contact bounce stage, and a buffer stabilization stage; and extract multi-stage features from the aforementioned multi-source operating state data based on the aforementioned operating stage information sequence to generate... The system generates mechanical characteristics for each action stage, with each stage exhibiting a different modality. Multimodal mechanical detection is performed on these characteristics to generate multi-stage mechanical features, circuit breaker mechanical state type, and circuit breaker mechanical safety level. Based on the circuit breaker mechanical state type, circuit breaker mechanical safety level, and historical action information set, the system predicts the remaining lifespan of the multi-stage mechanical features to generate remaining lifespan information for the circuit breaker. In response to a received equipment operation request, the system generates a circuit breaker safety control strategy based on the circuit breaker mechanical state type, circuit breaker mechanical safety level, and remaining lifespan information, and executes the safety control operation corresponding to the circuit breaker safety control strategy.

[0131] Computer program code for performing operations of some embodiments of this disclosure can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language 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).

[0132] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0133] The functions described above in this document can be performed at least in part by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), and so on.

[0134] The above description is merely a selection of preferred embodiments of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the embodiments of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in the embodiments of this disclosure.

Claims

1. A safety control method based on the mechanical characteristics of a circuit breaker, characterized in that, include: Based on the circuit breaker action control information and multi-source sensors, the action status data of the target circuit breaker is collected to obtain multi-source action status data. The multi-source motion state data is divided into motion stages to generate a sequence of motion stage information. Each motion stage information is the start and end time of the corresponding motion stage. The motion stages include: static reference stage, electromagnetic drive stage, mechanism transmission acceleration stage, contact state change stage, contact bounce stage, and buffer stabilization stage. Based on the sequence of action phase information, multi-stage feature extraction is performed on the multi-source action state data to generate mechanical features for each action phase. The mechanical features for each action phase have different modes. In the electromagnetic drive phase, the maximum coil current, coil current rise time, and the time interval between coil energization and mechanism start-up are extracted as the corresponding mechanical features. In the mechanism transmission acceleration phase, the mechanism start-up time, acceleration time, maximum speed, and acceleration segment stroke are extracted as the corresponding mechanical features. In the contact state change phase, the closing speed or closing speed, the three-phase contact action time difference, and the first contact change time are extracted as the corresponding mechanical features. In the contact bounce phase, the number of bounces, bounce duration, vibration peak value during the bounce phase, and sound impact intensity are extracted as the corresponding mechanical features. In the buffer stabilization phase, the stroke stabilization time, equipment vibration signal stabilization time, and rebound stroke are extracted as the corresponding mechanical features. Multimodal mechanical detection is performed on the mechanical characteristics of each action stage to generate multi-stage mechanical characteristics, circuit breaker mechanical state type, and circuit breaker mechanical safety level; Based on the circuit breaker mechanical condition type, the circuit breaker mechanical safety level, and the set of historical action information, the service life of the multi-stage mechanical characteristics is predicted to generate the remaining service life information of the circuit breaker. In response to receiving a device operation request, a circuit breaker safety control strategy is generated based on the circuit breaker mechanical state type, the circuit breaker mechanical safety level, and the circuit breaker remaining life information, and a safety control operation corresponding to the circuit breaker safety control strategy is executed. The step of performing multimodal mechanical detection on the mechanical characteristics of each action stage to generate multi-stage mechanical characteristics, circuit breaker mechanical state type, and circuit breaker mechanical safety level includes: Multimodal fusion is performed on the mechanical features of each action stage to generate multi-stage mechanical features; Based on the multi-stage mechanical characteristics and the pre-trained circuit breaker mechanical state recognition model, a circuit breaker mechanical state type is generated, which includes: normal state type, core jamming type, mechanism stagnation type, spring fatigue type, contact bounce abnormal type, base loosening type, and three-phase asynchrony abnormal type. Based on the circuit breaker's mechanical state type and the multi-stage mechanical characteristics, a mechanical safety level for the circuit breaker is generated.

2. The method according to claim 1, characterized in that, The step involves collecting operational status data of the target circuit breaker based on circuit breaker action control information and multi-source sensors to obtain multi-source operational status data, including: Based on the control action type represented by the circuit breaker action control information, the corresponding control action is executed on the target circuit breaker. Using multi-source sensors, the circuit breaker's break-out status signal, coil current signal, mechanism displacement signal, equipment vibration signal, equipment sound signal, and operating background information are synchronously collected within the target window as initial multi-source action status data. The target window corresponds to the circuit breaker action control information. The initial multi-source action state data is processed for time synchronization to obtain multi-source action state data.

3. The method according to claim 1, characterized in that, The step of dividing the multi-source action state data into action stages to generate an action stage information sequence includes: The coil excitation time is determined based on the coil current signal included in the multi-source action state data; Based on the mechanism displacement signal included in the multi-source motion state data, determine the mechanism start-up time, peak speed time, and buffer stabilization time; Based on the break state signal included in the multi-source action state data, determine the moment of the first change of the contact and the moment when the contact bounce ends; Based on the determined coil excitation time, mechanism start time, peak speed time, first contact change time, contact bounce end time, and buffer stabilization time, an action phase information sequence is generated.

4. The method according to claim 1, characterized in that, The process of multimodal fusion of the mechanical features at each action stage to generate multi-stage mechanical features includes: For each mechanical feature in each motion phase, perform the following processing steps: Based on the corresponding historical action stage mechanical feature sequence, the action stage mechanical features are aligned to obtain aligned mechanical features; The aligned mechanical features are subjected to effective feature filtering to generate effective mechanical features; The effective mechanical features are subjected to feature dimensionality reduction to obtain dimensionality-reduced mechanical features; Multimodal fusion is performed on each dimensionality-reduced mechanical feature to generate multi-stage mechanical features.

5. The method according to claim 1, characterized in that, The step of predicting the service life of the multi-stage mechanical characteristics based on the circuit breaker's mechanical state type, mechanical safety level, and historical operation information set to generate remaining service life information of the circuit breaker includes: Based on the historical action information set and the multi-stage mechanical characteristics, circuit breaker service life characteristics and circuit breaker degradation trend characteristics are constructed respectively. Based on the degradation trend characteristics of the circuit breaker, the service life characteristics of the circuit breaker are estimated to generate the circuit breaker degradation characteristics. Based on the pre-trained circuit breaker life prediction model and the circuit breaker degradation characteristics, the remaining life information of the circuit breaker is generated.

6. The method according to claim 1, characterized in that, In response to receiving a device operation request, the process generates a circuit breaker safety control strategy based on the circuit breaker mechanical state type, the circuit breaker mechanical safety level, and the circuit breaker remaining life information, and executes safety control operations corresponding to the circuit breaker safety control strategy, including: In response to receiving a device operation request for the target circuit breaker, determine the target operation type; Based on the circuit breaker mechanical condition type, the circuit breaker mechanical safety level, and the circuit breaker remaining life information, a circuit breaker safety control strategy is generated. Based on the circuit breaker safety control strategy, a target safety control command is generated, and a safety control operation corresponding to the circuit breaker safety control strategy is executed.

7. A safety control device based on the mechanical characteristics of a circuit breaker, implementing the method described in any one of claims 1 to 6, characterized in that, include: The action status data acquisition unit is configured to acquire action status data of the target circuit breaker based on the circuit breaker action control information and multi-source sensors, and obtain multi-source action status data. The action phase division unit is configured to divide the multi-source action state data into action phases to generate an action phase information sequence, wherein each action phase information is the start and end time of the corresponding action phase. The action phases include: static reference phase, electromagnetic drive phase, mechanism transmission acceleration phase, contact state change phase, contact bounce phase, and buffer stabilization phase. A multi-stage feature extraction unit is configured to perform multi-stage feature extraction on the multi-source motion state data based on the motion stage information sequence to generate mechanical features for each motion stage. The mechanical features for each motion stage have different modes. In the electromagnetic drive stage, the maximum value of the coil current, the rise time of the coil current, and the time interval between coil energization and mechanism start-up are extracted as the corresponding mechanical features for the motion stage. In the mechanism transmission acceleration stage, the mechanism start-up time, acceleration time, maximum speed, and acceleration segment stroke are extracted as the corresponding mechanical features for the motion stage. In the contact state change stage, the closing speed or closing speed, the three-phase contact action time difference, and the first contact change time are extracted as the corresponding mechanical features for the motion stage. In the contact bounce stage, the number of bounces, bounce duration, vibration peak value during the bounce stage, and sound impact intensity are extracted as the corresponding mechanical features for the motion stage. In the buffer stabilization stage, the stroke stabilization time, equipment vibration signal stabilization time, and rebound stroke are extracted as the corresponding mechanical features for the motion stage. A multimodal mechanical detection unit is configured to perform multimodal mechanical detection on the mechanical features of each operation stage to generate multi-stage mechanical features, circuit breaker mechanical state type, and circuit breaker mechanical safety level; wherein, the multimodal mechanical detection on the mechanical features of each operation stage to generate multi-stage mechanical features, circuit breaker mechanical state type, and circuit breaker mechanical safety level includes: Multimodal fusion is performed on the mechanical features of each action stage to generate multi-stage mechanical features; Based on the multi-stage mechanical characteristics and the pre-trained circuit breaker mechanical state recognition model, a circuit breaker mechanical state type is generated, which includes: normal state type, core jamming type, mechanism stagnation type, spring fatigue type, contact bounce abnormal type, base loosening type, and three-phase asynchrony abnormal type. Based on the circuit breaker mechanical state type and the multi-stage mechanical characteristics, the circuit breaker mechanical safety level is generated; The service life prediction unit is configured to predict the service life of the multi-stage mechanical characteristics based on the circuit breaker mechanical state type, the circuit breaker mechanical safety level and historical action information set, so as to generate the remaining service life information of the circuit breaker. The safety control unit is configured to, in response to receiving a device operation request, generate a circuit breaker safety control strategy based on the circuit breaker mechanical state type, the circuit breaker mechanical safety level, and the circuit breaker remaining life information, and execute safety control operations corresponding to the circuit breaker safety control strategy.

8. An electronic device, characterized in that, include: One or more processors; A storage device on which one or more programs are stored; When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any one of claims 1 to 6.

9. A computer-readable medium, characterized in that, It stores a computer program thereon, wherein the computer program, when executed by a processor, implements the method as described in any one of claims 1 to 6.

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