5879 results about "Circuit breaker" patented technology

The invention particularly relates to a leakage current testing method, device and system for an intelligent circuit breaker, and relates to the technical field of electrical safety detection. A composite signal generation and injection module; a broadband signal acquisition and conditioning module; and a line fault positioning and impedance analysis module. According to the invention, the composite signal generation module realizes the non-interference isolation injection of a leakage current signal and a high-frequency positioning signal, and guarantees the high fidelity of data through adaptive filtering, multi-channel synchronous sampling and high-precision timing. The line positioning module integrates TDR and a frequency domain impedance method, and through multi-frequency point deviation correction and topology-GIS association, the fault type is accurately identified, and the test and troubleshooting period is significantly shortened.

The invention relates to the technical field of high-voltage circuit breaker fault diagnosis, and discloses a multi-feature optimization fusion high-voltage circuit breaker fault diagnosis method. The method comprises the following steps: adaptively optimizing variational mode decomposition parameters by adopting a particle swarm optimization algorithm, and accurately decomposing an original vibration signal; performing noise dominant and fault feature dominant classification on the intrinsic mode function based on permutation entropy; aiming at the two types of modes, respectively taking signal-to-noise ratio maximization and kurtosis maximization as targets, and implementing differential wavelet threshold denoising; after reconstructing the signal, extracting an energy entropy, a singular value entropy and a power spectrum entropy to form a multi-dimensional feature vector; and inputting the data into a support vector machine classifier subjected to particle swarm optimization hyper-parameter for state diagnosis. According to the invention, through full-chain collaborative optimization, the accuracy and robustness of fault diagnosis in a strong noise environment are significantly improved.

The invention discloses a method for establishing a high-voltage circuit breaker fault detection model, and the method comprises the following steps: collecting current, voltage, mechanical response, temperature and other multi-dimensional signals of a circuit breaker under different working conditions, and unifying the signals into standardized time sequence data; a nonlinear dynamic sparse identification method is utilized to establish a dynamic model for describing equipment state evolution, and sparse coefficients reflecting physical change rules are extracted from the dynamic model to serve as health features. And the features are fused with current monitoring data to generate a joint feature input vector, and a health prediction model based on a TabPFN architecture is introduced for training and discrimination. And finally, accurate prediction of the current health state or the potential fault of the circuit breaker is realized, and the model self-adaptive updating capability is realized. According to the method, physical modeling and data analysis are combined, so that the accuracy and interpretability of fault prediction are improved.

The invention discloses a dynamic closed-loop management method for bridge-shaped contact performance, and relates to the technical field of power system protection. The method comprises the following steps: S1, a dynamic sensing process: acquiring multi-source dynamic parameters of a bridge-shaped contact in a non-intrusive mode; s2, a quantitative evaluation process: fusing the multi-source dynamic parameters and the static parameters, and calculating a health index or a health level of the contact through a preset model; s3, adaptively optimizing the process, dynamically adjusting the closing energy or protection parameters of the circuit breaker according to the health state, and compensating the performance change of the contact; and S4, a predictive maintenance process: performing trend extrapolation based on the historical data of the health index, predicting the residual life and generating a maintenance suggestion. The processes are sequentially connected and cyclically iterated to form dynamic closed-loop management, so that the problems of one-sided parameter sensing, inaccurate evaluation, fixed parameters and maintenance lag in the prior art are solved, the operation reliability of the bridge-shaped contact is improved, the service life of equipment is prolonged, and the operation and maintenance cost is reduced.

The invention relates to a low-voltage circuit breaker state detection method, which comprises the following steps of: synchronously acquiring multi-source state data of a low-voltage circuit breaker in an operation process through a plurality of sensors, the multi-source state data at least comprising a vibration signal, an opening and closing coil current signal, a moving contact displacement signal, a temperature signal and a partial discharge signal; the collected signals are preprocessed, and feature vectors related to the health state of the circuit breaker are extracted; inputting the feature vector into an improved weighted D-S evidence theory fusion diagnosis model; the improved weighted D-S evidence theory fusion diagnosis model is used for fusing evidences from a plurality of sensors in a mode of distributing weights for evidences of different sensors and calculating weighted average evidences; and determining the comprehensive health state grade of the low-voltage circuit breaker according to an output result of the fusion diagnosis model. According to the invention, comprehensive evaluation of the multi-dimensional working condition of the circuit breaker is realized, and the method has the advantages of comprehensively reflecting the multi-dimensional working condition of the circuit breaker, reducing the risk of misjudgment and missed judgment, and improving the performance degradation pre-judgment capability of equipment.

The invention provides a circuit breaker action coil current characteristic diagnosis and analysis system and method. Belongs to the technical field of power system automation and substation state monitoring. The method comprises the following steps: carrying out synchronous wave recording on current of a plurality of circuit breaker actuating coils on a direct current feeder screen side to generate multi-channel synchronous wave recording data; meanwhile, SOE message information is collected, a circuit breaker with specific action is automatically matched and positioned by utilizing a timestamp and action identification information in an SOE message, and action circuit breaker positioning data is generated; the current waveform data of the circuit breaker actuating coil are collected in real time, and a high-precision algorithm is used for feature extraction and analysis, so that abnormal fluctuation in current change can be accurately captured, such as overlarge starting current and unstable holding current, the risk of misoperation or rejection of operation of the circuit breaker caused by abnormal current characteristics is reduced, and the service life of the circuit breaker is prolonged. Electric power system accidents caused by equipment faults are avoided, and the operation reliability of the circuit breaker is improved.

The invention relates to the technical field of intelligent power distribution and electrical equipment state monitoring, in particular to an intelligent power distribution cabinet data acquisition control system and method, and the method comprises the steps: presetting a temperature sensor and a Hall sensor at the lap joint of a circuit breaker contact and a copper bar of an intelligent power distribution cabinet; calibrating inherent parameters of the system; in response to starting operation of the intelligent power distribution cabinet, the following steps are triggered: obtaining real-time load current, real-time environment temperature and actual temperature through filtering processing; generating a theoretical healthy temperature through a thermoelectric coupling evolution equation; calculating aging resistance increment through dynamic impedance differential evolution processing; generating an aging resistance estimated value through contact state multi-dimensional evaluation; generating a dynamic current limit value through an intelligent current limiting control model; outputting a control signal to adjust the operation state of the intelligent power distribution cabinet; according to the invention, the problem that a traditional single threshold scheme cannot accurately identify a real health state is solved, and the sensitivity and accuracy of contact aging detection are remarkably improved.

The invention discloses an intelligent primary and secondary fusion pole-mounted circuit breaker fault monitoring method, relates to the technical field of power equipment monitoring, and is used for solving the problem of insufficient real-time performance of fault monitoring under complex environment interference. According to the invention, electrical, mechanical vibration and environmental data are synchronously acquired through a multi-mode sensor array, and a timestamp synchronization mechanism is applied; performing multi-source interference classification on the original data, separating noise by using wavelet transform, and identifying interference types by clustering; kalman filtering adaptive compensation is applied based on an interference result, and environment feedback is introduced to ensure low delay; extracting multi-dimensional fault features, and forming a robust matrix through time-frequency analysis and principal component dimensionality reduction; inputting a deep learning model to carry out space-time modeling and rapid classification; a response mechanism is triggered to execute isolation or alarm, and closed-loop optimization is formed. The method effectively solves the problem of insufficient real-time performance under the interference of a complex environment, and improves the monitoring precision and the response speed.

The invention discloses an intelligent dust removal type electric energy metering box, and relates to the technical field of electric energy metering boxes, the intelligent dust removal type electric energy metering box comprises a metering box body, the side surface of the metering box body is provided with two protective doors, the metering box body is internally provided with a first chamber and a second chamber, and the first chamber is internally provided with an electric energy meter and a miniature circuit breaker; a plastic shell type circuit breaker is installed in the second cavity, a cooling fan is fixed to the side face of the metering box body, and a controller is fixed to the side, away from the cooling fan, of the metering box body. The air inlet amount of the air inlet pipe is intelligently monitored in real time through the air speed sensor, when the air inlet amount cannot meet the heat dissipation requirement, the driving motor is started, the cleaning brush moves in a reciprocating mode, dust attached to the dustproof net is automatically and intelligently cleaned, the dust on the dustproof net is reduced, the permeability of the dustproof net is guaranteed, and the service life of the dustproof net is prolonged. And the influence on the heat dissipation of the whole metering box caused by the blockage of the dustproof net can be effectively avoided.

The invention discloses a primary and secondary fusion pole-mounted circuit breaker state monitoring system and method, and relates to the technical field of power system automation. The system comprises a native signal acquisition module which is used for multiplexing an inherent electrical loop of a circuit breaker and acquiring a current signal of an opening and closing coil and a capacitive reactance change signal of a parasitic capacitor between a high-voltage electrode and a grounding end; and the edge analysis module is used for processing the signal acquired by the original signal acquisition module, including generating a mechanical health degree through feature extraction and state mapping, calculating an insulation aging index based on capacitive reactance change, and dynamically correcting a monitoring reference in combination with a digital twin model and a filtering algorithm. Non-auxiliary element monitoring is realized by multiplexing the inherent electrical loop of the circuit breaker, so that the service life of the monitoring system and the service life of primary equipment are completely synchronous, and elements do not need to be replaced in the whole life cycle; errors introduced by additional sensors are avoided by using the original electrical signals, and the mechanical fault recognition and insulation state evaluation precision is remarkably improved.

The invention relates to the technical field of power equipment, in particular to an intelligent circuit breaker electric operation mechanism integrating multi-parameter detection and an intelligent monitoring system.The intelligent circuit breaker electric operation mechanism comprises a basic mechanism unit, a detection unit, an intelligent control unit and a communication unit, and the basic mechanism unit comprises a double-layer sliding block compensation system and a transmission mechanism; the double-layer sliding block compensation system is composed of a first sliding block, a second sliding block and a spring set, and a thin film pressure sensor is integrated on the bottom face of the second sliding block. According to the intelligent circuit breaker electric operation mechanism integrated with multi-parameter detection and the intelligent monitoring system, the health state and fault assessment system achieves fault assessment through data receiving, feature fusion, health modeling and fuzzy reasoning, and the intelligent monitoring system comprises a remote monitoring platform. And data display, fault early warning, remote control and reference model optimization are supported, intelligent control and multi-dimensional state monitoring of the circuit breaker are realized, and the fault diagnosis accuracy and the reliability of a power system are improved.

The invention relates to the technical field of power equipment fault diagnosis, and particularly discloses a pole-mounted circuit breaker mechanical fault diagnosis method and system, and the method comprises the steps: firstly, synchronously collecting a dynamic force-displacement signal, a high-frequency acoustic emission signal and a broadband vibration signal in the switching-on and switching-off process of a circuit breaker operating mechanism; then, the acoustic emission and vibration signals are decoupled into an impact source component and a friction source component which are statistically independent through a blind source separation algorithm; performing envelope spectrum analysis on the impact source component to extract impact characteristics, and performing energy calculation on the friction source component to obtain friction noise energy characteristics; finally, on the basis of dynamic force-displacement curve fitting analysis, in combination with impact characteristics and friction noise energy characteristics, distinguishing and delimiting of mechanical wear and lubrication degradation faults are achieved. According to the invention, the problem that the existing diagnosis technology cannot effectively identify and distinguish the coupling fault of mechanical wear and lubrication deterioration is solved, and early warning and accurate diagnosis of the mechanical fault of the pole-mounted circuit breaker are realized.

The present disclosure relates to a circuit breaker having an energy releasing mechanism of an opening / closing mechanism part, and a circuit breaker according to an embodiment of the present invention comprises: an input latch locking device rotatably formed to restrict or release an input latch according to rotating angles thereof; an interlock movement rail which is installed on a cradle and in which an inspection position, a preparation position, and a driving position are configured; an interlock member for operating at least one among the input latch and a trip latch in a section excluding the inspection position, the preparation position, and the driving position while vertically moving in association with a relative movement of the interlock movement rail; and at least one link member connected between the interlock member and the input latch locking device and switching a linear movement in a vertical direction of the interlock member to a rotation movement, thereby rotating the input latch locking device.

A breaking mechanism, an operating unit and a measuring switch, comprising: a housing formed by splicing a first housing and a second housing which cooperate with each other, an installation space being formed between the first housing and the second housing, and an installation hole being arranged between the first housing and the second housing and being perpendicular to the length direction of the housing; the breaking unit is arranged in the mounting space and comprises a moving contact assembly rotatably arranged in the mounting space and a static contact matched with the moving contact assembly; and the magnetic flux unit is mounted in the mounting hole. The breaking unit and the magnetic flux unit form a complete module, the accuracy of the position of the magnetic flux unit during installation is guaranteed, meanwhile, the position and structure for installing the magnetic flux additionally arranged in the middle cover are omitted, the independent installation holes have the limiting and guiding effects, the problem of magnetic flux motion deviation can be effectively solved, and the installation efficiency is improved. The stability and accuracy of the magnetic flux motion trail in the switching-on and switching-off processes are ensured, and the operation precision of the circuit breaker is greatly improved.

The invention discloses an equipment fault prediction method in a power transmission and transformation system, and relates to the technical field of power system operation and maintenance, and the fault prediction method comprises the following steps: data collection: collecting the data of power transmission and transformation equipment through a sensor network, and forming a multi-source heterogeneous data set; data preprocessing: performing abnormal value elimination, missing value filling and standardization processing on the multi-source heterogeneous data set; feature extraction: mining associated features and time-space evolution laws of data of different dimensions by adopting a multi-modal fusion network based on an attention mechanism; performing fault prediction, and constructing a dynamic threshold early warning model in combination with an equipment aging curve; and correcting the result to generate a final fault prediction report. The equipment fault prediction method in the power transmission and transformation system solves the problems that traditional prediction depends on single data, the fixed threshold value false alarm is high, and the advance is insufficient, improves the fault prediction accuracy and reliability, and is suitable for operation and maintenance early warning of power transmission and transformation equipment such as transformers and circuit breakers.

The invention provides a line loss reason analysis and positioning method and system based on artificial intelligence and a medium, and relates to the technical field of power system management.The method comprises the steps that when the bus loss rate of a target station area exceeds a preset line loss threshold value, an excitation sequence is issued to a general meter, a circuit breaker and a user electricity meter of the target station area, respectively obtaining corresponding transient response data, and further constructing a dynamic topological graph of the target transformer area; and a topological structure is optimized by combining a graph neural network and an attention mechanism, and abnormal connection points are detected. And determining downstream associated user electric meters, and calculating the power utilization abnormity score based on the load data. And injecting a steep front traveling wave signal into the electric meter with the highest score to obtain a reflection characteristic parameter. And performing iterative analysis by using a Double DQN reinforcement learning algorithm, determining a fault point, a line loss reason type and confidence, and realizing efficient and accurate line loss reason positioning and analysis. According to the invention, efficient and accurate troubleshooting of line loss reasons is realized.

The invention discloses a fault arc detection system and method based on multi-source fusion and federated self-learning. The system comprises a sensor, a data processing and feature extraction module, an edge AI module, a decision logic module, a cloud server and a communication module. The method comprises the following steps: firstly, carrying out system starting and self-inspection, then carrying out multi-source data synchronous acquisition, then carrying out data preprocessing, multi-modal feature generation and lightweight edge AI model reasoning, finally carrying out fault judgment and rapid breaking control, and carrying out logic judgment according to an AI model output result. And when the fault arc is judged to be true, the breaking action of the circuit breaker is quickly executed, and an event is recorded and reported. Through innovation in three aspects of multi-source information fusion, real-time AI identification and federal self-learning updating, full-working-condition, high-precision, fast-response and evolvable fault arc detection is realized, the problem of pain points in the prior art is solved, and the method can be widely applied to the field of low-voltage power distribution safety protection and has remarkable practical value and popularization prospect.

The invention relates to the technical field of power equipment monitoring, and discloses a high-voltage circuit breaker state detection and fault diagnosis method. The method comprises the following steps: acquiring real-time state data of the high-voltage circuit breaker and preprocessing to obtain standardized data; extracting time domain, frequency domain and time frequency features from the standardized data to form feature vectors; analyzing the feature vector by using an anomaly detection algorithm, and identifying an abnormal state mode; based on the abnormal state mode, combined with historical fault records, a causal reasoning method is applied to mine a causal relationship between an abnormal state and a fault, and a key fault index is determined; establishing a health reference model according to the key fault indexes, and calculating the deviation degree between the current state data and the health reference model; evaluating the deviation degree to obtain a fault risk level; and estimating the fault probability of the high-voltage circuit breaker in the future time period by using the prediction model according to the fault risk level and the key fault index, and generating a state detection report.

The utility model discloses a mounting structure of an electric leakage protection module, which comprises a plurality of circuit breakers and the electric leakage protection module, the electric leakage protection module is spliced with the plurality of circuit breakers, and one end of the electric leakage protection module spliced with the circuit breakers is provided with a plurality of rigid first conductive plates. Corresponding ends of the plurality of circuit breakers are provided with rigid second conductive plates, one end of the electric leakage protection module is provided with an insertion block or a slot, and one end of each circuit breaker is provided with a slot or an insertion block which is in insertion fit with the insertion block or the slot of the electric leakage protection module along the longitudinal direction. The first conductive plate and the second conductive plate can be stacked together in the longitudinal direction while the electric leakage protection module and the circuit breaker are connected in an inserted mode through the inserting block and the inserting groove, the first conductive plate and the second conductive plate are connected and fixed through screws, an opening is formed in the upper portion of the splicing position of the circuit breaker and the electric leakage protection module, and a cover plate is arranged at the opening. The utility model has the advantages of simple assembly process and strong reliability.

The invention discloses a multipath load control acquisition device and system and a load control acquisition method, the device adopts an architecture in which a master device and a slave device cooperate, the master device comprises a master controller, a master communication module, a user display interface and a master interface unit, and the slave device comprises a slave interface unit, a slave controller, an acquisition unit and a slave communication module. Flexible marshalling management is achieved by distributing electronic identity numbers to the breakers, load parameters and the states of the breakers are synchronously collected through the collection unit, a two-way data transmission channel is constructed by means of the master-slave communication module, a control signal is generated based on preset logic and real-time data through the master controller, and the state of the breakers is controlled. And the slave controller issues an instruction to drive the circuit breaker electric operation mechanism to realize millisecond-level rapid switching-on and switching-off operation. According to the invention, the problems of insufficient number of loops, lack of state monitoring, slow response and the like of an existing load control system are solved, and accurate, rapid and intelligent management of multi-path loads on a client side is realized.

The invention discloses an automatic voltage regulating device for a power distribution area and a control method of the automatic voltage regulating device, and belongs to the technical field of power distribution network voltage treatment. The device comprises a three-phase power supply, a power supply side input circuit, a load side output circuit, a current transformer, a single-P air switch, a power supply conversion module, a three-phase independent voltage regulation module, a main path control system, an automatic bypass control system, a gear driving module, a man-machine interaction module, a display module, a monitoring module, a mode switching module, a parameter storage module and an alarm module. The system comprises a manual adjustment execution module, a counting module, a voltage detection module, a current detection module, a 4G communication module and an over-temperature protection module. A main circuit control system depends on input and output voltage data fed back by a voltage detection module, compensation voltage U can be independently calculated for differential voltage fluctuation of L1, L2 and L3 phases, intelligent adjusting switches of all phases are driven to act accurately, and finally three-phase output voltage U2 is stabilized within an allowable range.

The invention discloses a handcart type high-voltage circuit breaker operating characteristic evaluation method based on big data analysis, and particularly relates to the field of data analysis, which comprises the steps of monitoring time division, data entry, data analysis and evaluation. All-time multi-dimensional monitoring is achieved through big data analysis, monitoring sub-areas are divided, dynamic data are collected at high frequency, transient changes are captured, the limitation of traditional single-point monitoring is broken through, and comprehensive data support is provided; quantitative indexes are constructed based on a multi-parameter fusion model, the electrical and mechanical system collaboration is comprehensively evaluated, the multi-dimensional performance is reflected, and the evaluation precision is improved; and a health interval judgment rule is established, so that real-time comprehensive evaluation can be realized, faults can be accurately positioned, anomalies can be recognized in advance, a basis is provided for maintenance, and the intelligent level of power operation and maintenance and the fault prevention capability are improved.

The invention provides a combined full-range controllable protection device, which belongs to the technical field of circuit protection and comprises a trigger body, a breaker and a fuse. The trigger body and the breaker are connected in series, and the trigger body and the breaker which are connected in series are connected in parallel with the fuse; when the circuit is abnormal, the trigger body is fused to carry out primary protection on the circuit, the fused trigger body also generates an electric signal and transmits the electric signal to the breaker, the breaker cuts off the circuit to carry out secondary protection on the circuit, current flowing through the trigger body and the breaker is merged into a branch where the fuse is located, and the fuse is fused to form third-level protection on the circuit; therefore, multi-stage protection is realized through the trigger body, the breaker and the fuse, and the time sequence cooperation of multi-stage protection actions not only avoids misoperation, but also can provide redundancy protection when a serious fault occurs, so that quick response and reliable cut-off when the circuit is abnormal are realized on the basis of keeping low loss when the circuit is normal, and the circuit breaker can be suitable for high-voltage and large-current breaking.

The invention discloses a circuit breaker rigid regulation and control method and system based on a load monitoring terminal, and relates to the technical field of electric power automation, and the method comprises the following steps: S1, obtaining a unified nanosecond time base line, continuously collecting current signals of a plurality of loops, reconstructing a complete phase track of each loop current, generating a corresponding low-frequency lag fingerprint base line, and carrying out the collection of the low-frequency lag fingerprint base line; the reference basis is used for dynamic response correction; and S2, constructing a causal playback chain based on the low-frequency hysteresis fingerprint baseline, replaying a current transition behavior in the rigid regulation and control process of the circuit breaker, identifying a nonlinear hysteresis section, and extracting a threshold drift core parameter. According to the method, the current phase is reconstructed through the nanosecond-level time base, the lagging characteristics are extracted, the causal playback and energy coupling model is constructed, threshold double-track generation and time sequence correction are achieved, lagging energy is dissipated in combination with a phase conjugate instruction, the regulation and control precision and stability of a circuit breaker are improved, and the safety and the intelligent level of a power distribution network are enhanced.

The invention discloses an energy storage type SOP black-start method, system and device based on improved VSG network construction control and a medium, and relates to the field of power grid black-start, and the method comprises the steps: an energy storage type converter MMC carries out the active and reactive control based on an improved VSG network construction control strategy; a non-fault side MMC is controlled to firstly close an isolation circuit breaker and slowly charge a direct-current capacitor, and when the voltage reaches a set threshold value, a current-limiting resistor is quitted; the fault side MMC is started by the same step as the non-fault side MMC; after synchronization is completed, AC circuit breakers between the non-fault side MMC and the feeder load and between the fault side MMC and the feeder load are closed respectively; based on the collected power grid power data, MMC output parameters are adjusted to meet the power grid connection condition, the control mode is switched according to the grid connection state, and the black start process is ended. And by arranging the black start resistor for current-limiting charging and sub-module voltage balance control, the phenomena of overcurrent and voltage unbalance in the black start process are avoided.

The invention relates to the technical field of electrical equipment state monitoring, in particular to an intelligent circuit breaker electrical life detection method and system based on data analysis. The method comprises the following steps: synchronously acquiring opening coil voltage and current sequences, a main loop current sequence and environment temperature data when a circuit breaker acts, extracting actually measured action time based on the coil data, and calculating a mechanical health degree factor by combining the environment temperature and the actually measured action time; after decoupling correction is carried out on an electrodynamic force interference factor derived by a peak current of a main loop, a mechanism wear state index is obtained; a nonlinear damage model containing basic electric heat loss and mechanical degradation acceleration factors is constructed, a single-time electric life loss value is calculated, historical loss values are accumulated, a dynamic threshold value is combined to realize full-life-cycle prediction, and evaluation interference of environmental factors and large-current electrodynamic force is eliminated through deep data analysis. The nonlinear acceleration effect of mechanism hysteresis on contact ablation is quantified, and the detection precision is remarkably improved.

The invention discloses a method and a system, and relates to the technical field of relay protection. The method comprises the following steps of: acquiring electrical data of a synchronous parallel point, inputting two paths of voltage data, setting a setting value, judging the state of the synchronous parallel point based on the input two paths of voltage data, and performing manual intervention on asynchronous protection after asynchronous protection quits. According to the grid-connected asynchronous protection method provided by the invention, the state of a synchronous parallel point can be accurately judged by comparing the output two paths of voltage data with the setting value set in the device, the fault condition and position of a power grid can be more accurately judged, the abnormal state can be quickly detected, a circuit breaker can be timely pulled open, and the safety of the power grid is ensured. The method prevents generation of strong impact current, prevents burning loss of equipment, effectively protects electrical primary equipment, compares timing time with a setting value set by a system, ensures that non-synchronous protection does not continue to work due to misoperation, and enables an electric power system to recover to normal more quickly. According to the invention, better effects are achieved in the aspects of preventing electric appliance burnout and response time.

The invention relates to the technical field of circuit breakers, and discloses a fast-to-install primary and secondary fusion pole-mounted circuit breaker which comprises an installation frame and a circuit breaker body arranged on the installation frame, and core power electronic components such as an insulated gate bipolar transistor (IGBT) chip and a module are integrated in the pole-mounted circuit breaker body. The mounting rack is used for mounting a circuit breaker body to realize the functions of automatically cutting off a circuit and remote communication when a fault occurs, the mounting rack comprises a clamping assembly and a supporting piece, the supporting piece is used for mounting the circuit breaker body, and the clamping assembly is used for fastening the supporting piece on a telegraph pole. According to the pole-mounted circuit breaker, assembling and wiring of the circuit breaker body are completed on the ground firstly, then the circuit breaker body is rapidly fixed to the telegraph pole through the installation frame, the effect of improving the installation efficiency and reliability of the pole-mounted circuit breaker is achieved, and meanwhile the use flexibility of the installation frame is high.

The invention provides a double-path causal fusion circuit breaker fault diagnosis model optimization method and system, and the method comprises the steps: carrying out the staged signal index extraction of obtained working condition data in the switching-on and switching-off process of a circuit breaker, obtaining an original signal segment, and taking the original signal segment as an input; taking a fault classification result corresponding to the original signal segment as output, training the fault diagnosis model, and obtaining a trained to-be-optimized fault diagnosis model, the genetic annealing algorithm is utilized to dynamically optimize the to-be-optimized hyper-parameters of the obtained to-be-optimized fault diagnosis model by adopting the preset composite fitness function to obtain optimized hyper-parameters, and the optimized hyper-parameters are substituted into the to-be-optimized fault diagnosis model to obtain an optimized fault diagnosis model, so that the limitation of a single optimization algorithm is overcome, and the optimization efficiency is improved. Effective improvement of the model is realized, and the diagnosis capability of circuit breaker faults and causal chain fracture faults is further improved.

The invention relates to the technical field of intelligent circuit breakers, in particular to a holographic monitoring method based on a circuit breaker intelligent algorithm. The method comprises the steps of collecting operation data of a line where the circuit breaker is located; performing data preprocessing on the operation data; performing data processing on the preprocessed operation data to obtain monitoring parameters; holographic monitoring is carried out on an electrical fault according to the monitoring parameters; wherein when the operation data is preprocessed, a dual-frequency injection method is adopted to realize the separation of resistive residual current, a 2kHz high-frequency test signal is superposed on the basis of a fundamental wave frequency, and the resistive residual current is separated; meanwhile, an intelligent algorithm is adopted to carry out de-noising processing on the signal, that is, a dynamic threshold value is adopted to carry out wavelet de-noising processing, and an interlayer correlation coefficient is fused into wavelet threshold value calculation, so that self-adaptive protection of fault features is realized, and subsequent accurate power grid holographic monitoring is facilitated.