Dynamic control method for four-layer frame circuit breaker under parameter linkage

Abstract

The invention discloses a four-layer frame circuit breaker dynamic control method under parameter linkage, and relates to the technical field of power system monitoring and protection, and the method comprises the steps: carrying out the configuration of a parameter collection module of a four-layer frame circuit breaker; predefining a risk monitoring update window; obtaining a multi-sensing time sequence parameter; the multi-sensing time sequence parameters are sent to a fault analysis and identification module; outputting real-time fault information; and operating the cabinet top control unit to dynamically control the four-layer frame circuit breaker according to the sorting result. The technical problems that in the prior art, key parameters of circuit breakers of all layers cannot be comprehensively collected, parameter linkage analysis is lacked, fault judgment cannot be conducted by integrating multiple parameters, and therefore comprehensive and accurate monitoring and control over the four-layer frame circuit breaker are difficult to achieve are solved, and the aim of improving the reliability of the four-layer frame circuit breaker in a complex operation environment is achieved. The technical effect of comprehensively and accurately monitoring and controlling the four-layer frame circuit breaker is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system monitoring and protection, and in particular to the technical field of a four-layer frame circuit breaker dynamic control method under parameter linkage. Background Art

[0002] Four-layer frame circuit breakers are widely used in the field of power equipment. Currently, the operating status monitoring of four-layer frame circuit breakers mainly relies on simple parameter monitoring methods. These methods can play a certain role in common scenarios and can achieve basic parameter acquisition. However, as the power system's requirements for equipment operation reliability and safety increase, existing monitoring technologies have become more problematic when monitoring four-layer frame circuit breakers. Four-layer frame circuit breakers have a complex structure and each layer is interconnected. Traditional monitoring methods cannot fully collect parameters from each layer, nor can they perform fault diagnosis based on multi-parameter linkage analysis. This makes it impossible to detect potential fault hazards in a timely and accurate manner, and cannot meet the needs for accurate assessment and efficient control of the operating status of four-layer frame circuit breakers, affecting the stable operation of the power system. Summary of the Invention

[0003] This application solves the technical problem that the existing technology cannot fully collect the key parameters of each layer of circuit breakers, lacks parameter linkage analysis, and cannot comprehensively judge multiple parameters, which makes it difficult to achieve comprehensive and accurate monitoring and control of four-layer frame circuit breakers. This application deploys multiple sensors (micro CT, thermistor, vibration sensor, arc light detector) at key parts of each layer of the four-layer frame circuit breaker (such as connecting row, L-shaped row, mounting plate and support beam, etc.) to collect multiple types of parameters, obtains fault-related information through parameter aggregation and alignment, and determines based on preset static thresholds and dynamic thresholds, and sorts and filters control strategies based on fault priority characteristics, so as to accurately identify multiple fault types of four-layer frame circuit breakers and realize dynamic control, making the operating status monitoring and fault handling of four-layer frame circuit breakers more accurate and efficient.

[0004] In response to the above technical problems, the present application proposes a technical solution for a dynamic control method of a four-layer frame circuit breaker under parameter linkage, wherein the method includes: configuring a parameter acquisition module of the four-layer frame circuit breaker through embedded deployment of sensors, wherein the parameter acquisition module is deployed in the cabinet top control unit of the four-layer frame circuit breaker; predefining a risk monitoring update window; the parameter acquisition module performs periodic sensor data acquisition of the four-layer frame circuit breaker with the risk monitoring update window as a constraint to obtain multi-sensor timing parameters; the parameter acquisition module sends the multi-sensor timing parameters to a fault analysis and identification module, wherein the fault analysis and identification module is deployed in the cabinet top control unit; the fault analysis and identification module performs dynamic threshold judgment on the multi-sensor timing parameters based on parameter linkage analysis and outputs real-time fault information; after sorting the real-time fault information by fault isolation priority, the cabinet top control unit is operated according to the sorting result to perform dynamic control of the four-layer frame circuit breaker.

[0005] This application proposes one or more technical solutions, which have at least the following technical effects:

[0006] This application divides the space of functional modules such as parameter acquisition module and fault analysis and identification module in the cabinet top control unit of the four-layer frame circuit breaker, and configures sensors in the parameter acquisition module to obtain multi-sensor timing parameters. The predefined risk monitoring update window constrains data collection, and the fault analysis and identification module determines the fault based on the preset static threshold and dynamic threshold. With the help of fault priority sorting, the real-time fault information is processed. When a fault occurs, the cabinet top control unit is run according to the sorting result to execute the corresponding dynamic control strategy to achieve efficient dynamic control of the four-layer frame circuit breaker, achieving the technical effect of comprehensive and accurate monitoring and control of the four-layer frame circuit breaker in a complex operating environment.

[0007] The above content summarizes the present application's method for solving the dynamic control of a four-layer frame circuit breaker under parameter linkage. The present application will describe the steps of the technical solution in detail in the following specific implementation methods to facilitate a clear and complete understanding of the present application by technical personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0009] Figure 1 It is a flow chart of a four-layer frame circuit breaker dynamic control method under parameter linkage provided in an embodiment of the present application.

[0010] Figure 2 It is a flow chart of optimizing fault analysis in the dynamic control method of a four-layer frame circuit breaker under parameter linkage provided in an embodiment of the present application. DETAILED DESCRIPTION

[0011] This application divides the cabinet top control unit of the four-layer frame circuit breaker into different functional areas such as parameter acquisition module and fault analysis and identification module. In the parameter acquisition module, sensors (micro CT, thermistor, etc.) are deployed at key parts of the circuit breakers on each layer (such as connecting rows, L-shaped rows, etc.) to collect multi-sensor timing parameters. The fault analysis and identification module makes a preliminary judgment based on the preset static threshold array, and uses the dynamic threshold to determine the fault if it is not triggered. After the real-time fault information is prioritized, the corresponding dynamic control strategy is executed in the cabinet top control unit according to the sorting results, so as to realize comprehensive monitoring and precise control of the operating status of the four-layer frame circuit breaker, ensure the stable and reliable operation of the circuit breaker, and achieve the technical effect of comprehensive and precise monitoring and control of the four-layer frame circuit breaker in a complex operating environment.

[0012] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0013] It should be noted that any variations of the terms "include" and "have" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices.

[0014] like Figure 1 As shown, a four-layer frame circuit breaker dynamic control method under parameter linkage, wherein the method includes:

[0015] Step A100: configuring a parameter acquisition module of a four-layer frame circuit breaker through embedded deployment of sensors, wherein the parameter acquisition module is deployed on a cabinet top control unit of the four-layer frame circuit breaker.

[0016] In the embodiments of this application, a four-layer frame circuit breaker refers to a cabinet with four frame circuit breakers installed, with a layered layout (e.g., vertical or horizontal) achieved through connecting rows and L-shaped rows. The parameter acquisition module is deployed in the cabinet top control unit of the four-layer frame circuit breaker cabinet and is used to collect the operating parameters of the four-layer frame circuit breaker. The cabinet top control unit is the control core that carries the parameter acquisition module and the fault analysis and identification module.

[0017] Specifically, first, a first micro-CT is embedded in the first connection row of the first-tier frame circuit breakers to collect current data. Simultaneously, a first thermistor is embedded in the first L-shaped row to collect temperature data. These are then connected to the parameter acquisition module located in the cabinet top control unit. Next, the micro-CT and thermistor are embedded in the second, third, and fourth-tier frame circuit breakers in the same manner and connected to the parameter acquisition module. Furthermore, a first vibration sensor and a second vibration sensor are deployed on the circuit breaker mounting plate and support beam, respectively, and also connected to the parameter acquisition module. This completes the global deployment of the parameter acquisition module locally. The specific steps are detailed in A110-A160.

[0018] Through the above steps, comprehensive collection of multiple parameters of the four-layer frame circuit breaker is achieved, providing a data basis for subsequent accurate fault analysis and control.

[0019] Step A200: Predefine a risk monitoring update window.

[0020] In the embodiment of the present application, the risk monitoring update window is a predefined time constraint condition used to regulate the working rhythm of the four-layer framework circuit breaker parameter acquisition module.

[0021] Optionally, during implementation, those skilled in the art should first comprehensively consider factors such as the operating characteristics of the four-layer frame circuit breaker, common fault types, and their frequency. For example, they should analyze the variation patterns of circuit breaker parameters under different load conditions, as well as the fluctuations in parameters before different faults, based on historical operating data. Furthermore, they should refer to relevant industry standards and specifications to determine the maximum acceptable monitoring interval while ensuring monitoring accuracy.

[0022] Based on this data and analysis, technicians can determine an appropriate time interval and set it as the risk monitoring update window. With this window, the parameter acquisition module can periodically collect sensor data such as current, temperature, and vibration of the circuit breaker according to this time constraint.

[0023] By setting a predefined risk monitoring update window, we can avoid excessive data processing pressure caused by too high a collection frequency, and ensure that abnormal changes in parameters can be captured in a timely manner, providing accurate and timely data support for subsequent fault diagnosis and dynamic control through parameter linkage analysis.

[0024] Step A300: The parameter collection module collects periodic sensor data of the four-layer frame circuit breaker based on the risk monitoring update window as a constraint to obtain multi-sensor timing parameters.

[0025] In the embodiment of the present application, the multi-sensor timing parameter is a data set obtained by integrating the periodic sensor data collection of the four-layer frame circuit breaker by the parameter acquisition module with the risk monitoring update window as a constraint.

[0026] In one embodiment of the present application, the parameter acquisition module starts working according to the risk monitoring update window set above. With the risk monitoring update window as a constraint, the aggregation alignment and segmentation processing of multi-sensor data such as current, temperature, vibration, etc. are performed respectively to obtain specific data constituting the multi-sensor timing parameters. The four-layer current timing parameters, four-layer temperature timing parameters, first vibration timing parameters and second vibration timing parameters obtained above are integrated to form the multi-sensor timing parameters. The specific steps are described in detail in A310-A350. These multi-sensor timing parameters comprehensively and systematically reflect the operating status of the four-layer frame circuit breaker at different times, providing a rich and accurate data basis for subsequent fault analysis and identification, making the operation monitoring and fault judgment of the circuit breaker more accurate and efficient.

[0027] Step A400: The parameter acquisition module sends the multi-sensor timing parameters to a fault analysis and identification module, wherein the fault analysis and identification module is deployed in the cabinet top control unit.

[0028] In the embodiment of the present application, the fault analysis and identification module is a module for performing fault judgment and identification on the operating status of the four-layer frame circuit breaker.

[0029] Specifically, once the parameter acquisition module acquires the multi-sensor timing parameters, it begins transmitting the data to the fault analysis and identification module. First, the parameter acquisition module packages the integrated multi-sensor timing parameters according to the established communication protocol (the CAN bus communication protocol, which offers real-time and high reliability, making it suitable for industrial field equipment communication). This process adds corresponding identification information to the data, allowing the fault analysis and identification module to accurately identify the data type and source.

[0030] The packaged data is then sent via pre-installed communication lines within the cabinet-top control unit. These communication lines feature a layered, distributed design, with independent lines for different sensor data to reduce interference. Lines are constructed from low-resistance, interference-resistant copper or optical fiber to ensure signal transmission quality. Redundant lines are also implemented to improve system reliability. If a line fails, automatic switching ensures stable data transmission to the fault analysis and identification module, minimizing data loss or delays.

[0031] After receiving the data, the fault analysis and identification module unpacks and analyzes it according to pre-set procedures and algorithms. It first unpacks the data according to the pre-set procedures. Following the communication protocol rules, it identifies information such as the start and end bits of the data, as well as the data length. It then restores the packed data to its original, processable parameter form, separating out four different types of timing parameters, including current, temperature, and vibration.

[0032] During the algorithm analysis phase, the fault analysis and identification module processes multi-sensor timing parameters based on parameter linkage analysis. It first constructs a single-dimensional fault judgment unit using a preset static threshold array. This unit then traverses the multi-sensor timing parameters to make a preliminary judgment on whether a fault exists. If the single-dimensional judgment results in an empty set, indicating a more complex fault scenario, the module further applies dynamic threshold determination to the multi-sensor timing parameters, comprehensively analyzing the correlations and changing trends among the various parameters, ultimately outputting real-time fault information.

[0033] By accurately transmitting and deeply analyzing multi-sensor timing parameters, hidden faults of frame circuit breakers can be discovered more accurately and promptly, providing strong support for subsequent fault handling.

[0034] Step A500: The fault analysis and identification module performs dynamic threshold determination on the multi-sensor timing parameters based on parameter linkage analysis and outputs real-time fault information.

[0035] In the embodiment of the present application, dynamic threshold determination is a determination operation performed by the fault analysis and identification module on multi-sensor timing parameters based on parameter linkage analysis. Real-time fault information is the result output by the fault analysis and identification module through dynamic threshold determination.

[0036] Optionally, the fault analysis and identification module first constructs a single-dimensional fault judgment unit based on a preset static threshold array. This unit then traverses the multi-sensor timing parameters and outputs a single-dimensional judgment result. If the single-dimensional judgment result is an empty set, it indicates a possible complex fault, and a more in-depth analysis process is initiated. During this in-depth analysis, dynamic thresholds are applied and K coupled fault types are output. The specific steps are detailed in A510-A530.

[0037] The fault types obtained through the above steps constitute real-time fault information, thereby accurately judging the fault conditions of the four-layer frame circuit breaker and improving the accuracy and comprehensiveness of fault analysis.

[0038] Step A600: After sorting the real-time fault information according to the fault isolation priority, the cabinet top control unit is operated according to the sorting result to perform dynamic control of the four-layer frame circuit breaker.

[0039] In the embodiment of the present application, fault isolation priority sorting refers to the process of distinguishing and sorting the importance of the fault information according to certain rules after obtaining the real-time fault information output by the fault analysis and identification module.

[0040] Specifically, first, the fault priority characteristics of multiple sample coupled faults are obtained through interaction. Then, based on these fault priority characteristics, the real-time fault information output by the fault analysis and identification module is prioritized to obtain a real-time fault processing sequence. Then, multiple sample dynamic control strategies for multiple sample coupled faults are obtained through interaction. After that, based on the K types of coupled faults in the real-time fault information, multiple sample dynamic control strategies are traversed to screen out K corresponding real-time dynamic control strategies. Finally, the cabinet top control unit uses the real-time fault processing sequence as a constraint and, in accordance with the priority order of the faults, sequentially executes the K screened real-time dynamic control strategies to achieve dynamic control of the four-layer frame circuit breaker. The specific steps are described in detail in A610-650.

[0041] In this way, faults can be handled promptly and accurately, minimizing the impact of faults on the operation of the four-layer frame circuit breaker and ensuring the stable operation of the power system.

[0042] Furthermore, step A100 in the method provided in the embodiment of the present application includes:

[0043] A110: A first micro CT is embedded in the first connection row of the first layer frame circuit breaker of the four-layer frame circuit breaker.

[0044] A120: The first thermistor is embedded in the first L-shaped row of the first layer frame circuit breaker.

[0045] A130: Connect the first micro CT and the first thermistor to the parameter acquisition module.

[0046] A140: Similarly, micro CT and thermistors are embedded in the second-layer frame circuit breakers, third-layer frame circuit breakers, and fourth-layer frame circuit breakers.

[0047] A150: A first vibration sensor and a second vibration sensor are respectively deployed on the circuit breaker mounting plate and the support beam of the four-layer frame circuit breaker.

[0048] A160: Connect the first vibration sensor and the second vibration sensor to the parameter acquisition module to complete the local global deployment of the parameter acquisition module.

[0049] In an embodiment of the present application, the first layer of frame circuit breakers is the topmost layer of the four-layer frame circuit breakers, and the frame circuit breakers of the remaining layers are deployed downward in sequence. The first connecting row is a component located on the first layer of frame circuit breakers, through which other parts are connected. The first micro CT is a device embedded in the first connecting row of the first layer of frame circuit breakers. The first L-shaped row is a component on the first layer of frame circuit breakers, having a specific L shape. The first thermistor is an element embedded in the first L-shaped row of the first layer of frame circuit breakers. The first vibration sensor and the second vibration sensor are used to monitor the vibration conditions during the operation of the circuit breaker.

[0050] Specifically, first, sensors are installed at key locations of the first-layer frame circuit breaker, and a first micro-CT is embedded in the first connecting row. The micro-CT can accurately collect current data of this layer, providing a basis for determining whether the current is abnormal; a first thermistor is embedded in the first L-shaped row to monitor temperature changes in this location in real time.

[0051] These two sensors are then connected to the parameter acquisition module located in the control unit at the top of the cabinet, enabling timely transmission and aggregation of the collected data. Following this, micro-CTs and thermistors are deployed on the second, third, and fourth layers of the circuit breaker frame, and connected to the parameter acquisition module, enabling comprehensive collection of current and temperature parameters for each layer of the four-layer frame.

[0052] In addition, considering that the mechanical state of the frame circuit breaker during operation will also affect its performance, a first vibration sensor and a second vibration sensor are deployed on the circuit breaker mounting plate and the support beam respectively, which can monitor the vibration conditions during the operation of the circuit breaker.

[0053] Finally, the two vibration sensors are also connected to the parameter acquisition module, thus completing the local global deployment of the parameter acquisition module.

[0054] Through these steps, the parameter acquisition module can obtain comprehensive operating parameters, providing a rich and accurate data basis for subsequent precise analysis of the operating status of the four-layer frame circuit breaker and timely discovery of potential fault hazards.

[0055] Furthermore, step A300 in the method provided in the embodiment of the present application includes:

[0056] A310: The parameter acquisition module performs current data aggregation and alignment based on the risk monitoring update window as a constraint to obtain four-layer current timing parameters.

[0057] A320: Similarly, the parameter acquisition module aggregates and aligns the multi-sensor data using the risk monitoring update window as a constraint to obtain four-layer temperature timing parameters.

[0058] A330: The parameter acquisition module divides the return data of the first vibration sensor based on the four-layer current timing parameters and the risk monitoring update window as a constraint to obtain the first vibration timing parameters.

[0059] A340: Similarly, the parameter acquisition module segments the returned data from the second vibration sensor to obtain second vibration timing parameters.

[0060] A350: Among them, the four layers of current timing parameters, the four layers of temperature timing parameters, the first vibration timing parameter and the second vibration timing parameter constitute the multi-sensing timing parameters.

[0061] In the embodiments of the present application, the four-layer current time series parameters are a data sequence obtained by aggregating and aligning the current data collected by the micro-CT on the connection rows of each layer of the four-layer frame circuit breaker. The four-layer temperature time series parameters are a data sequence obtained by aggregating and aligning the temperature data collected by thermistors on the L-shaped rows of each layer of the four-layer frame circuit breaker. The first vibration time series parameters are a data sequence obtained by segmenting the return data from the first vibration sensor installed on the mounting plate of the four-layer frame circuit breaker. The second vibration time series parameters are a data sequence obtained by segmenting the return data from the second vibration sensor installed on the support beam of the four-layer frame circuit breaker.

[0062] Optionally, the parameter acquisition module first processes the current data collected by the microCT on the connection bars of the frame circuit breakers on each layer according to a predefined risk monitoring update window. The microCT continuously collects current information, and the parameter acquisition module aggregates and aligns the current data at different times and layers according to the time interval set in the window to ensure data consistency in the time dimension, thereby obtaining four-layer current time series parameters that accurately reflect the time-varying current changes on each layer.

[0063] For temperature data collection, thermistors in the L-shaped rows on each layer monitor temperature in real time. The parameter acquisition module, similarly based on the risk monitoring update window, collects temperature data from thermistors and aggregates and aligns this data to form four-layer temperature time series parameters, fully presenting the dynamic temperature trends of each layer.

[0064] For vibration data collection, the parameter acquisition module uses four layers of current timing parameters as a benchmark, combined with a risk monitoring update window, to segment the data returned by the first vibration sensor installed on the circuit breaker mounting plate. For example, when a specific current change occurs, the module accurately captures the vibration data collected by the first vibration sensor during that period based on the window time, generating the first vibration timing parameters, reflecting the vibration conditions associated with the corresponding current change. Similarly, data returned by the second vibration sensor installed on the support beam is processed similarly to generate the second vibration timing parameters.

[0065] Finally, the four layers of current timing parameters, the four layers of temperature timing parameters, the first vibration timing parameters and the second vibration timing parameters obtained above are integrated to form multi-sensing timing parameters.

[0066] By integrating multi-sensor timing parameters, a rich and reliable data basis is provided for the subsequent fault analysis and identification module to make accurate fault judgments, greatly improving the ability to monitor the operating status and fault warning of the four-layer frame circuit breaker.

[0067] Furthermore, step A500 in the method provided in the embodiment of the present application includes:

[0068] A510: Constructs a single-dimensional fault judgment unit based on a preset static threshold array.

[0069] A520: Use the single-dimensional fault judgment unit to traverse the multi-sensor timing parameters and output a single-dimensional judgment result.

[0070] A530: If the single-dimensional judgment result is an empty set, dynamic threshold judgment is performed on the multi-sensor timing parameters, and the real-time fault information is output.

[0071] In the embodiment of the present application, a preset static threshold array is constructed by interactively obtaining static thresholds for overload risk and structural risk. A single-dimensional fault judgment unit is a unit used to traverse multiple sensor timing parameters and output a judgment result. The single-dimensional judgment result is a preliminary judgment conclusion obtained by traversing multiple sensor timing parameters using the single-dimensional fault judgment unit. Real-time fault information is the result output by the fault analysis and identification module after a series of analysis and processing, and consists of K coupled fault types.

[0072] Specifically, first, a single-dimensional fault judgment unit is constructed. Overload risk static thresholds, including current and temperature risk thresholds, are interactively obtained. Simultaneously, structural risk static thresholds are interactively obtained. These thresholds are then integrated to form a preset static threshold array. Based on this array, detection channels are configured, completing the construction of a single-dimensional fault judgment unit that includes parallel overload and structural risk detection channels. The specific steps are detailed in A511-A513.

[0073] Next, the single-dimensional fault judgment unit is used to traverse the multi-sensor timing parameters. The collected four-layer current timing parameters, four-layer temperature timing parameters, first vibration timing parameters, and second vibration timing parameters are judged in turn through different detection channels in the single-dimensional fault judgment unit, and each parameter is compared with the corresponding preset static threshold value for analysis:

[0074] First, the overload risk detection channel in the single-dimensional fault judgment unit compares the four-layer current time series parameters with the preset current risk threshold. If the current value exceeds the threshold, it may indicate an overload risk, and the single-dimensional judgment result will record the relevant information. If it does not exceed the threshold, the other parameters will be tested.

[0075] For the four-layer temperature time series parameters, the overload risk detection channel is also used to compare them with the preset temperature risk threshold. If the temperature rises abnormally and exceeds the threshold, it indicates a potential thermal failure, which is also recorded in the single-dimensional judgment results.

[0076] The first and second vibration time-series parameters are evaluated through the structural risk detection channel. These parameters are compared with the static structural risk threshold. If parameters such as vibration amplitude and frequency exceed the normal range, this indicates a possible abnormality in the circuit breaker's mechanical structure, which will also be reflected in the single-dimensional judgment results. The single-dimensional judgment results are then output, providing a preliminary screening of parameter information that may indicate a fault.

[0077] If the single-dimensional judgment result is an empty set, meaning none of the parameters triggered the threshold in the initial judgment, this means that the fault cannot be determined solely through the preset static threshold judgment, and a more complex fault scenario may exist. In this case, a more in-depth dynamic threshold judgment of the multi-sensor timing parameters is required. This judgment process comprehensively considers the linkages between multiple parameters. The coupled fault identification model is trained using the dynamic thresholds of multiple sample parameters obtained interactively for multiple coupled faults. The trained model is then used to perform dynamic threshold judgment on the multi-sensor timing parameters. Ultimately, K coupled fault types are output. The specific steps are detailed in A531-A535.

[0078] The acquired fault types constitute real-time fault information, which can more accurately and comprehensively reflect the actual fault conditions of the four-layer frame circuit breaker and provide a strong basis for subsequent fault handling.

[0079] Furthermore, step A510 in the method provided in the embodiment of the present application includes:

[0080] A511: Interactively obtain an overload risk static threshold, wherein the overload risk static threshold includes a current risk threshold and a temperature risk threshold.

[0081] A512: Interactively obtain a structural risk static threshold, and construct the preset static threshold array based on the overload risk static threshold and the structural risk static threshold.

[0082] A513: Detection channels are configured according to the preset static threshold array to complete the construction of the single-dimensional fault judgment unit, wherein the single-dimensional fault judgment unit includes an overload risk detection channel and a structural risk detection channel connected in parallel.

[0083] In this embodiment of the present application, the overload risk static threshold is used to determine whether an overload risk exists. The structural risk static threshold is used to assess structural stability. The overload risk detection channel and the structural risk detection channel are used to determine whether an overload fault or a structural fault exists.

[0084] Specifically, key information is first obtained through interaction (via online access to authoritative risk data from manufacturers, industry standards, and other sources), including static overload risk thresholds. This threshold encompasses both current and temperature risk thresholds, and is determined by technical personnel based on a wealth of actual operating data, theoretical analysis, and industry standards. For example, through long-term monitoring of current and temperature changes in frame circuit breakers under different operating conditions, combined with the equipment's safe operating range, reasonable current and temperature risk thresholds are determined to serve as the basis for determining overload risk.

[0085] At the same time, a static threshold for structural risk must be interactively determined. This threshold is also determined by those skilled in the art based on in-depth research into the mechanical structure of the equipment, taking into account the impact of factors such as vibration and pressure on structural stability. Through experiments and data analysis, a threshold that reflects the normal operating range of the structure is derived.

[0086] Next, the overload risk static threshold and the structural risk static threshold are integrated to construct a preset static threshold array. This array arranges different types of thresholds in an orderly manner, providing basic data for subsequent detection channel configuration.

[0087] Finally, the detection channels are configured based on the preset static threshold array, completing the construction of the single-dimensional fault judgment unit. This unit consists of a parallel overload risk detection channel and a structural risk detection channel. The overload risk detection channel monitors current and temperature parameters, comparing the collected four-layer current timing parameters and four-layer temperature timing parameters with the corresponding overload risk static thresholds. If the parameters exceed the threshold range, an overload fault may be determined. The structural risk detection channel compares the first vibration timing parameter and the second vibration timing parameter with the structural risk static threshold. If the vibration parameters are abnormal, it indicates a possible structural fault.

[0088] Through such steps, the single-dimensional fault judgment unit can make a preliminary judgment on the multi-sensor timing parameters more comprehensively and accurately, providing strong support for subsequent further fault analysis and overcoming the shortcomings of existing technologies in fault judgment.

[0089] Furthermore, step A540 in the method provided in the embodiment of the present application includes:

[0090] A541: Deploy a first arc flash detector on the circuit breaker mounting plate of the four-layer frame circuit breaker.

[0091] A542: Deploy a second arc flash detector on the circuit breaker mounting plate support beam of the four-story frame circuit breaker.

[0092] A543: Connect the first arc light detector and the second arc light detector to the parameter acquisition module to complete the local deployment update of the parameter acquisition module.

[0093] Specifically, first, a first arc detector and a second arc detector were deployed at key locations on the four-layer frame circuit breaker: the circuit breaker mounting plate and the mounting plate support beam, respectively. This is because arcing during circuit breaker operation is a serious fault signal. By deploying detectors at these locations, any arcing that may occur can be detected promptly.

[0094] Next, connect the two arc light detectors to the parameter acquisition module. This allows the arc light data collected by the detectors to be incorporated into the parameter acquisition system, completing the local deployment and update of the parameter acquisition module. The parameter acquisition module already collects data such as four-layer current timing parameters, four-layer temperature timing parameters, first vibration timing parameters, and second vibration timing parameters. Now, with the addition of arc light data, the data collection is even more comprehensive.

[0095] In this way, the multi-sensor timing parameters collected by the parameter acquisition module are further enriched and improved, providing a more comprehensive and accurate data basis for subsequent dynamic threshold determination.

[0096] Further, if Figure 2 As shown, step A530 in the method provided in the embodiment of the present application includes:

[0097] A531: The parameter acquisition module uses the four-layer current timing parameters as a benchmark and the risk monitoring update window as a constraint to segment the return data of the first arc light detector and the second arc light detector to obtain the first arc light timing parameters and the second arc light timing parameters.

[0098] A532: Update the first arc light timing parameter and the second arc light timing parameter to the multi-sensor timing parameter to obtain multi-sensor update timing data.

[0099] A533: Interactively obtain dynamic thresholds for multiple sets of sample parameters for multiple sample coupling faults.

[0100] A534: Using the multiple groups of dynamic threshold values of sample parameters of the multiple sample coupling faults as training data, training a coupling fault identification model, wherein the coupling fault identification model is a CNN model.

[0101] A535: Run the coupling fault identification model to perform dynamic threshold determination on the multi-sensor update time series data, and output K coupling fault types. The K coupling fault types constitute the real-time fault information.

[0102] In the embodiments of the present application, the first arc light timing parameter and the second arc light timing parameter are used to reflect relevant information about the arc light under specific current changes. The multi-sensor update timing data is a data set obtained by updating the first arc light timing parameter and the second arc light timing parameter to the original multi-sensor timing parameters. The multiple sets of sample parameter dynamic thresholds are multiple sets of threshold data used to reflect the characteristic ranges of multiple sample coupling faults under different parameter changes. The K types of coupling fault types are the results output after running the coupling fault identification model to perform dynamic threshold judgment on the multi-sensor update timing data.

[0103] In one embodiment, the parameter acquisition module first segments the return data from the first and second arc detectors, using the acquired four-layer current timing parameters as a benchmark and according to the time setting of the risk monitoring update window. Because mechanical vibration and arcing may interact to jointly affect the contact condition of the circuit breaker, segmenting the data based on the current timing parameters better captures information such as the arc's onset time and intensity under specific current variations, thereby obtaining the first and second arc timing parameters.

[0104] Next, the newly acquired arc timing parameters are updated into the original multi-sensor timing parameters to form multi-sensor updated timing data. This updated data more comprehensively reflects the various status information during circuit breaker operation, covering changes in current, temperature, vibration, arc light, and other aspects of data.

[0105] Then, through interactive means, multiple sets of dynamic thresholds for sample parameters of various coupling faults were obtained. These thresholds were derived by technicians in this field based on a large number of actual fault cases and simulation experimental data, and reflect the characteristic ranges of different types of coupling faults under various parameter changes.

[0106] These dynamic thresholds of multiple sample parameters are then used as training data to train a coupled fault identification model (CNN model). CNN models have powerful feature extraction and pattern recognition capabilities. By learning from the training data, they can build a correlation model between various parameters in complex fault situations.

[0107] Finally, the trained coupling fault identification model is run to perform dynamic threshold determination on the multi-sensor update time series data. The model analyzes and determines the data based on the learned patterns and threshold ranges, ultimately outputting K coupling fault types. These fault types constitute real-time fault information, enabling operations and maintenance personnel to more accurately and promptly understand the current fault conditions of the four-layer frame circuit breaker.

[0108] Through the above steps, the accuracy and comprehensiveness of fault diagnosis are improved, providing a strong basis for subsequent targeted maintenance measures.

[0109] Furthermore, step A600 in the method provided in the embodiment of the present application includes:

[0110] A610: Interactively obtain multiple sample dynamic control strategies for the multiple sample coupling faults.

[0111] A620: Interactively obtain fault priority characteristics of the multiple sample coupling faults.

[0112] A630: Sort the fault priorities of the real-time fault information according to the fault priority characteristics to obtain a real-time fault processing sequence.

[0113] A640: Traverse the multiple sample dynamic control strategies according to the K coupling fault types, and screen out K real-time dynamic control strategies.

[0114] A650: The cabinet top control unit executes the K real-time dynamic control strategies based on the real-time fault processing sequence to perform dynamic control of the four-layer frame circuit breaker.

[0115] In the embodiments of the present application, the sample dynamic control strategy is obtained through interaction, and multiple specific operation strategies are provided for multiple sample coupled faults. The fault priority feature is obtained through interaction, based on the analysis of the impact of different faults on system operation. The real-time fault processing sequence is the result of sorting the real-time fault information by fault priority according to the fault priority feature. The real-time dynamic control strategy is a control strategy corresponding to a specific fault type, selected by traversing multiple sample dynamic control strategies based on K types of coupled faults.

[0116] Optionally, first, multiple sample dynamic control strategies for multiple sample coupled faults are obtained interactively. This process may involve technicians in this field obtaining strategies for handling different types of coupled faults from historical fault data, professional research materials, or actual operating experience. These strategies include specific operating methods for various fault conditions, such as adjusting certain circuit breaker parameters or disconnecting specific circuits.

[0117] At the same time, fault priority characteristics for multiple sample coupled faults are interactively obtained. These characteristics are derived by technical personnel based on in-depth analysis of the impact of different faults on system operation. They cover multiple factors, such as the likelihood of fault occurrence, the extent of damage to equipment, and the impact on power system stability. For example, some faults may quickly paralyze the entire system and therefore have a high priority; while some minor faults have a minimal impact on system operation and therefore have a low priority.

[0118] Next, based on the acquired fault priority features, the real-time fault information is prioritized to generate a real-time fault handling sequence. This sequence clarifies the order in which different faults are handled, ensuring that the most urgent and impactful faults are addressed first.

[0119] Then, we traverse multiple sample dynamic control strategies based on the K coupling fault types and select K corresponding real-time dynamic control strategies. Since different coupling fault types require different processing methods, through traversal and screening, we can match the most appropriate control strategy for each fault type.

[0120] Finally, the top-of-rack control unit uses the real-time fault handling sequence as a constraint and executes the K selected real-time dynamic control strategies in order of fault priority. This allows for targeted dynamic control of the four-layer frame circuit breakers based on the actual fault situation, minimizing the impact of the fault on the equipment and power system. Compared to existing technologies, this significantly improves the efficiency and accuracy of fault handling.

[0121] In summary, the dynamic control method for a four-layer frame circuit breaker under parameter linkage provided by the embodiment of the present application has the following technical effects:

[0122] This application uses the embedded deployment of sensors to collect multiple parameter data through the collaborative work of the parameter acquisition module and the cabinet top control unit of the four-layer frame circuit breaker, and transmits the data to the fault analysis and identification module after the collection cycle is constrained by the predefined risk monitoring update window. A preliminary fault judgment is made by constructing a preset static threshold array and a single-dimensional fault judgment unit. If the result is an empty set, arc light detectors are further deployed to obtain more data. After data processing and coupled fault identification model training, real-time fault information is output. The real-time fault information is prioritized, combined with the sample dynamic control strategy, and the corresponding strategy is executed through the cabinet top control unit. Based on different data processing links and control operations, the stable operation of the four-layer frame circuit breaker and the effective handling of faults are guaranteed, achieving the technical effect of comprehensive and accurate monitoring and control of the four-layer frame circuit breaker in a complex operating environment.

[0123] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

[0124] Obviously, those skilled in the art may make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A dynamic control method for a four-layer frame circuit breaker under parameter linkage, characterized in that: The method comprises: The parameter acquisition module of the four-layer frame circuit breaker is configured through embedded deployment of sensors, wherein the parameter acquisition module is deployed in the cabinet top control unit of the four-layer frame circuit breaker; Predefined risk monitoring update window; The parameter acquisition module performs periodic sensor data acquisition of the four-layer frame circuit breaker with the risk monitoring update window as a constraint to obtain multi-sensor timing parameters; The parameter acquisition module sends the multi-sensor timing parameters to the fault analysis and identification module, wherein the fault analysis and identification module is deployed in the cabinet top control unit; The fault analysis and identification module performs dynamic threshold determination on the multi-sensor timing parameters based on parameter linkage analysis and outputs real-time fault information; After the real-time fault information is sorted by fault isolation priority, the cabinet top control unit is operated according to the sorting result to perform dynamic control of the four-layer frame circuit breaker.

2. The dynamic control method of a four-layer frame circuit breaker under parameter linkage according to claim 1 is characterized in that: The parameter acquisition module of the four-layer frame circuit breaker is configured by embedded deployment of sensors, and the method includes: Embed a first micro CT in a first connection row of a first layer frame circuit breaker of the four-layer frame circuit breaker; Embed a first thermistor in the first L-shaped row of the first layer frame circuit breaker; connecting the first micro CT and the first thermistor to the parameter acquisition module; Similarly, the embedded deployment of micro CT and thermistors is carried out on the second-layer frame circuit breakers, the third-layer frame circuit breakers, and the fourth-layer frame circuit breakers. deploying a first vibration sensor and a second vibration sensor on the circuit breaker mounting plate and the support beam of the four-layer frame circuit breaker respectively; The first vibration sensor and the second vibration sensor are connected to the parameter acquisition module to complete the local global deployment of the parameter acquisition module.

3. The dynamic control method of a four-layer frame circuit breaker under parameter linkage according to claim 2 is characterized in that: The parameter acquisition module performs periodic sensor data acquisition of the four-layer frame circuit breaker based on the risk monitoring update window as a constraint to obtain multi-sensor timing parameters. The method includes: The parameter acquisition module performs current data aggregation and alignment based on the risk monitoring update window as a constraint to obtain four-layer current timing parameters; Similarly, the parameter acquisition module aggregates and aligns the multi-sensor data using the risk monitoring update window as a constraint to obtain four-layer temperature time series parameters; The parameter acquisition module divides the return data of the first vibration sensor based on the four-layer current timing parameters and the risk monitoring update window as a constraint to obtain the first vibration timing parameters; Similarly, the parameter acquisition module segments the returned data of the second vibration sensor to obtain the second vibration time series parameter; Among them, the four layers of current timing parameters, the four layers of temperature timing parameters, the first vibration timing parameter and the second vibration timing parameter constitute the multi-sensing timing parameter.

4. The dynamic control method of a four-layer frame circuit breaker under parameter linkage according to claim 3 is characterized in that: The fault analysis and identification module performs dynamic threshold determination on the multi-sensor timing parameters based on parameter linkage analysis and outputs real-time fault information. The method includes: Constructing a single-dimensional fault judgment unit based on a preset static threshold array; Using the single-dimensional fault judgment unit to traverse the multi-sensor timing parameters and output a single-dimensional judgment result; If the single-dimensional judgment result is an empty set, a dynamic threshold judgment is performed on the multi-sensor timing parameters, and the real-time fault information is output.

5. The dynamic control method of a four-layer frame circuit breaker under parameter linkage according to claim 4 is characterized in that: A single-dimensional fault judgment unit is constructed based on a preset static threshold array, and the method includes: Interactively obtaining an overload risk static threshold, wherein the overload risk static threshold includes a current risk threshold and a temperature risk threshold; interactively obtaining a structural risk static threshold, and constructing the preset static threshold array based on the overload risk static threshold and the structural risk static threshold; The detection channels are configured according to the preset static threshold array to complete the construction of the single-dimensional fault judgment unit, wherein the single-dimensional fault judgment unit includes an overload risk detection channel and a structural risk detection channel connected in parallel.

6. The dynamic control method of a four-layer frame circuit breaker under parameter linkage according to claim 4 is characterized in that: If the single-dimensional judgment result is an empty set, dynamic threshold judgment is performed on the multi-sensor timing parameters, and the real-time fault information is output. Previously, the method includes: Deploy the first arc flash detector on the circuit breaker mounting plate of the four-layer frame circuit breaker deploying a second arc detector on a circuit breaker mounting plate support beam of the four-story frame circuit breaker; The first arc light detector and the second arc light detector are connected to the parameter acquisition module to complete the local deployment update of the parameter acquisition module.

7. The dynamic control method of a four-layer frame circuit breaker under parameter linkage according to claim 6 is characterized in that: If the single-dimensional judgment result is an empty set, dynamic threshold judgment is performed on the multi-sensor timing parameters, and the real-time fault information is output. The method includes: The parameter acquisition module uses the four-layer current timing parameters as a benchmark and the risk monitoring update window as a constraint to segment the return data of the first arc light detector and the second arc light detector to obtain the first arc light timing parameters and the second arc light timing parameters; Updating the first arc light timing parameter and the second arc light timing parameter to the multi-sensor timing parameter to obtain multi-sensor update timing data; Interactively obtain dynamic thresholds of multiple sets of sample parameters for multiple sample coupling faults; Using the multiple groups of sample parameter dynamic thresholds of the multiple sample coupling faults as training data, training a coupling fault identification model, wherein the coupling fault identification model is a CNN model; The coupling fault identification model is run to perform dynamic threshold determination on the multi-sensor update time series data, and K coupling fault types are output, where the K coupling fault types constitute the real-time fault information.

8. The dynamic control method of a four-layer frame circuit breaker under parameter linkage according to claim 7 is characterized in that: After the real-time fault information is sorted by fault isolation priority, the cabinet top control unit is operated according to the sorting result to perform dynamic control of the four-layer frame circuit breaker, and the method includes: Interactively obtaining multiple sample dynamic control strategies for the multiple sample coupling faults; interactively obtaining fault priority characteristics of the multiple sample coupling faults; sorting the fault priorities of the real-time fault information according to the fault priority characteristics to obtain a real-time fault processing sequence; Traversing the plurality of sample dynamic control strategies according to the K coupling fault types, and screening out K real-time dynamic control strategies; The cabinet top control unit executes the K real-time dynamic control strategies based on the real-time fault processing sequence to perform dynamic control of the four-layer frame circuit breaker.

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