1986 results about "Switchgear" patented technology

The invention discloses a complete switch equipment online detection method and system based on multi-sensor fusion, and relates to the technical field of equipment state detection.The method comprises the steps that temperature distribution, partial discharge signals, mechanical vibration waveforms and operation current data of switch equipment are collected, key fault features are extracted based on preprocessed multi-source data, and the key fault features are extracted; generating a high-dimensional feature matrix, constructing a graph convolution-long and short-term memory hybrid network model as a fault diagnosis model, and obtaining a defect detection result according to the spatial-temporal features; and constructing an equipment degradation index based on defect characteristics to calculate an equipment health index, performing probabilistic prediction of the remaining service life in combination with a Wiener degradation model, and triggering an early warning signal when defects are detected or the service life is lower than a threshold value. According to the method, the problems of large data limitation and insufficient fault diagnosis precision of a single sensor in the operation state monitoring of the whole set of switch equipment are solved, and fault evaluation and residual life prediction are further realized by combining a hidden defect evolution rule.

The invention belongs to the technical field of simulation analysis, and particularly relates to a medium-high voltage switch cabinet internal humidity inversion calculation method based on simulation analysis, which comprises the following steps: establishing a geometric model of a switch cabinet, importing the geometric model into finite element simulation software to obtain a simulation analysis model, adding each physical field and computational domain and boundary conditions thereof, and calculating the internal humidity of a medium-high voltage switch cabinet. All the physical fields are coupled, and mesh generation is carried out; performing numerical solution on the simulation analysis model by using a transient solver to obtain a temperature and humidity distribution condition in the switch cabinet; the simulation analysis model is optimized, a simulation data set is constructed, and a PINN is trained; based on the environment temperature and humidity and the operation current collected in the actual operation of the switch cabinet, the trained PINN is used for prediction, and the steady-state relative humidity of the current transformer is obtained. According to the invention, based on the limited boundary monitoring data, efficient and accurate reconstruction of the humidity field of the key area in the switch cabinet is realized, and a feasible path is provided for equipment state sensing and condensation risk early warning.

The invention relates to the field of electrical parameter measurement of power distribution switch equipment, in particular to an arc fault measurement method, system and device in the power distribution switch equipment and a medium, and the method comprises the steps: collecting a current signal in a power distribution loop in real time; separating out target frequency band components of which the frequency is greater than a preset frequency threshold in the current signal; performing envelope extraction on the target frequency band component to obtain an envelope signal; performing time domain analysis on the envelope signal to obtain the regularity intensity of the pulse of the envelope signal; performing short-time Fourier transform on the target frequency band component, and calculating a frequency spectrum variance; taking the regularity intensity and the spectrum variance as feature vectors, and inputting the feature vectors into a pre-trained artificial intelligence model; outputting a first fault diagnosis result by the artificial intelligence model; and generating a control instruction based on the first fault diagnosis result to trigger the protection device to act. The method has the advantage that the dangerous electric arc in the power distribution loop can be accurately identified and quickly responded.

The invention discloses a live detection method for insulation defects of high-voltage power equipment. The method comprises the following steps: firstly, synchronously arranging ultrahigh frequency sensors and acoustic emission sensors on a plurality of monitoring points on the surface of a gas insulated switchgear shell to form an array, and synchronously acquiring signals for filtering pretreatment; then, pulse events are extracted from the two types of signals respectively, and associated pulses in a time window are matched into matched pulse pairs representing the same discharge source; then, carrying out time-frequency transformation on the ultrahigh frequency and acoustic emission pulse waveform in each matched pulse pair, carrying out joint noise reduction by calculating a coherence coefficient between time-frequency distribution matrixes, and extracting a joint feature vector containing an energy ratio, a time parameter ratio and a frequency difference from the denoised time-frequency matrix; according to the invention, multi-source signals are fused, and high-sensitivity detection, high-precision positioning and high-accuracy identification of insulation defects are realized.

The invention discloses a switch equipment performance aging intelligent diagnosis method and device based on multi-parameter fusion, relates to the technical field of power equipment abnormal defect diagnosis, and solves the problem of low precision of aging judgment of switch equipment depending on a single temperature and humidity threshold value or a single gas parameter in the prior art. The method comprises the following steps: acquiring internal and external humiture and internal gas characteristic parameters of equipment; constructing multi-channel standardized monitoring data through time synchronization, filtering and de-noising and exception elimination processing; calculating an absolute humidity difference inside and outside the cabinet, constructing a humidity expectation model, and obtaining a standardized residual error; performing offset detection and trend smoothing processing on the standardized residual error to obtain a cumulant and a smoothing trend quantity, and fusing the cumulant and the smoothing trend quantity to calculate an offset index; outputting a moisture seepage risk score, and triggering early warning when the moisture seepage risk score and the characteristic gas concentration exceed a threshold value. According to the invention, real-time high-precision evaluation of the aging state of the equipment is realized, early hidden dangers are effectively identified, and the safety and reliability of a power system are improved.

The invention discloses a multi-mode signal fusion switch cabinet partial discharge detection and positioning method and device, and belongs to the technical field of power equipment monitoring, and the method comprises the steps: arranging an ultrahigh frequency sensor, an ultrasonic sensor and a traveling wave signal sensor on a switch cabinet, and synchronously collecting electromagnetic wave, sound wave and traveling wave signals; filtering the electromagnetic wave signal, the sound wave signal and the traveling wave signal, and enhancing the filtered signal to obtain a filtered enhanced signal; carrying out the positioning and classification of the partial discharge signals through the multi-modal feature fusion of the filtered enhanced signals; and triggering graded alarm according to a positioning result, and periodically starting a self-checking program to verify the reliability of the sensor and the algorithm. Physical characteristics of different discharge types are covered, the detection comprehensiveness is improved, the noise interference problem is solved, and the data fusion efficiency and the positioning precision are improved; the system health state is monitored in real time, and long-term operation stability is ensured.

The invention relates to a GIS (Gas Insulated Switchgear) equipment mechanical defect diagnosis method based on a Gramb angle field and a dual-channel PCNN-Attention neural network, and belongs to the technical field of gas insulated switchgear mechanical vibration defect diagnosis. The method solves the problems that traditional diagnosis depends on artificial feature extraction, so that subjectivity is high, information mining is insufficient, and defect severity evaluation is missing. According to the technical scheme, the method comprises the steps that a one-dimensional vibration signal is converted into a GASF two-dimensional image and a GADF two-dimensional image through a GASF field so as to completely reserve time sequence topological features; carrying out data enhancement by adopting an image geometric transformation technology so as to improve the generalization ability of the model; and a dual-channel PCNN-Attention model is constructed, and synchronous intelligent identification of defect types and severity is realized through parallel feature extraction and dynamic weight optimization of an attention mechanism. According to the method, the diagnosis accuracy, reliability and adaptive capacity are improved, and support is provided for equipment state operation and maintenance.

The invention belongs to the technical field of power distribution switches, and particularly discloses a test mechanism suitable for a switch cabinet handle, which comprises a substrate, the upper end of the substrate is fixedly connected with a plurality of support frames, the upper ends of the support frames are fixedly connected with a support plate, and the upper end of the support plate is provided with a transmission groove. A rotating assembly used for rotating the handle is arranged on the base plate corresponding to the transmission groove, a detection assembly used for detecting the insulation state of the rotating handle is arranged on the side, close to the rotating assembly, of the supporting plate, and when the handle rotates along with the second square rod, the first square rod, the transmission block and the trigger protruding block are driven to rotate synchronously. The trigger bump can instantly extrude the micro-touch switch, the power supply module and the resistance detector are started, through a detection loop formed by a lead, insulation resistance changes of the connection part of the handle and the square rod under the action of mechanical friction and stress in the rotation process are accurately captured, dynamic insulation data of the handle are captured, and an electrical property detection test of the handle is realized.

The invention discloses a switch cabinet electric arc light detection method and system based on multispectral fusion, and relates to the technical field of electric power system intelligent detection, and the method comprises the following steps: S1, building a cross-spectrum unified time reference, and carrying out the synchronous comparison of an infrared light signal, a visible light signal and an ultraviolet light signal, extracting a temperature transition trigger feature and a strong light disturbance spectrum feature, and generating a time synchronization deviation vector; and S2, constructing an anti-fact spectrum playback model based on the time synchronization deviation vector, generating a shadow spectrum sequence, positioning an infrared response threshold lifting reason through energy difference analysis, calculating a spectrum overlapping risk interval and duration, and outputting a threshold disturbance distribution diagram. According to the method, infrared anomalies are identified through cross-spectrum time alignment, anti-fact playback and differential analysis, channel recovery is guided in combination with springback prediction and time sequence correction, and a spectrum broken chain window is constructed through dislocation sampling and phase regulation and control, so that the accuracy and the anti-interference capability of arc identification are effectively improved.

The invention relates to the technical field of substation equipment state monitoring, in particular to a substation switch cabinet state online monitoring device and method based on multi-source data fusion, and the monitoring device comprises a multi-dimensional sensing acquisition system, an edge intelligent processing unit, a multi-mode communication system and an intelligent early warning and decision-making system. The multi-dimensional sensing acquisition system acquires various types of operation parameters, the edge intelligent processing unit processes the parameters, the multi-modal communication system transmits data, and the intelligent early warning and decision-making system performs early warning and generates a maintenance scheme; according to the monitoring method, sensor deployment and calibration, multi-source data acquisition and synchronization, data preprocessing and feature extraction, state diagnosis and health assessment, data transmission and cloud collaboration, and early warning triggering and maintenance decision making are carried out in sequence. The switch cabinet state can be comprehensively monitored, the fault diagnosis accuracy is improved, and safe and stable operation of a power grid is guaranteed.

The invention relates to the technical field of offshore wind power, in particular to a middle-long distance offshore wind power low-frequency combined power transmission system and an operation mode thereof, and the system comprises an M3C converter and a control system thereof, an M3C converter operation state change-over switch group, and an M3C converter energy consumption switch and an energy consumption resistor R1; the motor and generator coaxial M-G equipment and a control system thereof, an M-G equipment operation state change-over switch group, and an M-G equipment energy consumption switch and an energy consumption resistor R2; through switching of an M3C converter operation state change-over switch group, an M3C converter energy consumption switch, an M-G equipment operation state change-over switch group and an M-G equipment energy consumption switch, multiple operation states including at least maintenance, cold standby, hot standby, connection, operation and energy consumption are realized, and switching among the operation states is realized according to the access condition of a power grid and new energy. The method can provide stable supporting capacity for a power grid, and helps to solve the problems of offshore wind power integration and efficient absorption.

The invention relates to the technical field of high-voltage switch equipment, and discloses a primary and secondary fusion pole-mounted circuit breaker which comprises a base, a front plate is arranged on the front side of the base, the base and the front plate are connected through a connecting plate, a first solid-sealed polar pole is arranged on the top of the base, and a second solid-sealed polar pole is arranged on the top of the front plate. A high-voltage input plate is arranged at the top of the solid-sealed polar pole I, a high-voltage output plate is arranged on one side wall of the solid-sealed polar pole I, the connecting frame is fixedly connected between the solid-sealed polar poles I, the bird repelling mechanism is arranged at the top of the connecting frame and used for repelling birds to prevent the birds from stopping, and the shielding mechanism is arranged at the top of the solid-sealed polar pole I. By means of the bird repelling mechanism, the all-weather and intelligent active bird repelling function is achieved, stable equipment operation is guaranteed, a dual-drive mode combining wind power and solar power is adopted, it is guaranteed that the bird repelling function is uninterrupted, pollution flashover or short circuit faults caused by bird activities to high-voltage insulation parts are effectively avoided, and the equipment operation reliability is improved.

The invention provides a triple GIS shell metal mold casting mold, and relates to the technical field of casting molds, the triple GIS shell metal mold casting mold comprises a casting bottom mold part, and a sand core assembly is arranged above the casting bottom mold part; the sand core assembly is used for forming a triple GIS shell flange; a wedge block positioning piece is mounted on the casting bottom mold piece; casting mold body parts are arranged on the two sides of the sand core assembly and used for being installed on a casting machine. The exhaust flow dividing piece is adopted and matched with opening of the second electromagnetic valve, suction through an external vacuum pump can be facilitated, exhaust is promoted, and the liquid inlet efficiency is improved; the problem that an existing triple GIS shell casting mold is not convenient to automatically control to actively exhaust and prevent hollowing in the early stage of casting is solved.

The invention discloses a super-fusion pole-mounted switch device, belongs to the technical field of switch devices, and discloses the super-fusion pole-mounted switch device which comprises a switch body, a power taking unit and a feeder terminal. The switch body comprises a deep fusion solid-sealed polar pole which is integrally poured, a vacuum arc extinguish chamber, an isolating switch contact and a voltage and current sensor are integrated in the switch body, and the electricity taking unit supplies power to the deep fusion solid-sealed polar pole through a separable spring electric contact structure; the feeder terminal is embedded in the switch box body and is operated in a hot-line mode through a special operating rod. The invention further provides a transient electromagnetic interference suppression module which is used for eliminating electromagnetic interference in the equipment. The CLC topological power taking unit can adapt to multiple working conditions; the state monitoring module is fused with multi-source data to diagnose faults, and the problems that an existing primary and secondary fusion column switch is low in fusion degree, weak in anti-electromagnetic interference, poor in electricity taking reliability and low in intelligence are solved. The equipment can supply power to the 10kV power distribution network intelligently, the reliability is improved, and the operation and maintenance cost is reduced.

The invention discloses a power distribution network flexible regulation and control method fusing electric vehicle charging response, and relates to the technical field of intelligent regulation and control of a power system, and the method comprises the following steps: constructing a topology freshness monitoring mechanism, collecting operation sequences and timestamps of all switch devices, generating a topology aging score according to a time difference, and carrying out the calculation of the topology aging score. The score is used as a quantitative reference of abnormal risk identification; and determining a topology failure interval according to the topology aging score, obtaining voltage residual errors and power flow deviations of all nodes in the topology failure interval, and combining the voltage residual errors and the power flow deviations to form a risk fingerprint reflecting the network operation stability. According to the method, topology freshness is quantified through topology aging score, unstable nodes are accurately positioned through risk fingerprints, a candidate reduction sequence is generated in combination with drift node tracking and neighborhood takeover analysis, high-confidence objects are screened through multiple verification, execution is confirmed through double-track cross, mistaken reduction and control omission risks are remarkably reduced, and the toughness and reliability of the power distribution network are improved.

The invention belongs to the technical field of fault diagnosis, and discloses a thermal defect identification method and system for a high-voltage switchgear, and computer equipment, and the method comprises the steps: firstly segmenting an infrared image through employing a transfer learning optimized Mask R-CNN model, reducing the dependence of annotated data through sharing pre-training parameters, and achieving the region extraction of pixel-level equipment; secondly, multi-dimensional temperature information is extracted in combination with a gray histogram and a gray co-occurrence matrix, and key features are screened through PCA to enhance noise immunity; and finally, the LSSVM is adopted for classification, so that the training efficiency is remarkably improved. According to the method, the equipment area is automatically segmented through deep learning, temperature distribution is quantified in combination with multi-dimensional features, man-made misjudgment is reduced, pre-training model parameter sharing is utilized, new tasks are rapidly adapted in a small sample scene, the generalization ability and efficiency are improved, feature dimensions are compressed through principal component analysis, the real-time monitoring requirement is met, and the monitoring efficiency is improved.

The invention provides an inflatable cabinet rigid interlocking structure with grounding feed quantity indication, which belongs to the technical field of gas insulated metal-enclosed switchgear and comprises a cabinet body, a front door opening limiter, a front and rear door interlocking part, a three-position switch and a circuit breaker interlocking mechanism. The front door opening limiter is arranged at the front end of the cable chamber and used for limiting opening and closing of the front cabinet door. The front and rear door interlocking member is used for interlocking control of the front cabinet door and the rear cabinet door. The three-position switch is arranged on the cabinet body, and a disconnecting link of the three-position switch is linked with the front and rear door interlocking piece through a grounding interlocking piece; and the circuit breaker interlocking mechanism is arranged on the cabinet body and is respectively linked with the front door opening limiter and the three-position switch. During operation, the three-position switch and the authority of the front door opening limiter can be unlocked through opening of the circuit breaker interlocking mechanism; after the three-position switch is grounded, the front and rear door interlocking piece is unlocked through the grounding interlocking piece; the front door opening limiter is operated to open the front cabinet door, and the front and rear door interlocking piece can be triggered to open the rear cabinet door. According to the invention, the operation safety and reliability of the gas-insulated switchgear are comprehensively improved.

The invention discloses a high-voltage switch opening and closing state detection system and method. The system comprises an opening and closing state detection module, a signal processing module, a central control module, an execution module and a fault early warning module. Mechanical characteristic parameters, electrical characteristic parameters and environmental parameters in the opening and closing process of the high-voltage switch are collected through a multi-sensor fusion technology, and the parameters are transmitted to the central control module after being subjected to filtering, noise reduction and normalization processing through the signal processing module; and the central control module analyzes the parameters based on an improved BP neural network algorithm, judges whether the opening and closing states are normal or not, and outputs a control instruction to the execution module according to an analysis result to realize accurate control of the opening and closing actions. The high-voltage switch opening and closing detection accuracy and the control reliability are remarkably improved, the fault occurrence rate is reduced, the service life of equipment is prolonged, and the method is suitable for opening and closing detection and control scenes of various high-voltage switch equipment.

The invention provides a switch cabinet fault identification method and system based on a reconstruction modal phase image, and belongs to the technical field of intelligent fault diagnosis of a power system, and the method comprises the steps: dividing the operation data of a switch cabinet into a plurality of modal signals based on the operation data of the switch cabinet collected in real time; based on a preset reconstruction threshold, reconstructing the plurality of modal signals into high-frequency signals and low-frequency signals; constructing a two-dimensional trend confrontation image based on the high-frequency signal and the low-frequency signal; and classifying fault features in the two-dimensional trend confrontation image based on a preset neural network algorithm to identify the switch cabinet fault. The method solves the problem of poor fault identification reliability caused by the fact that fault type judgment cannot be completed independently in the prior art. According to the method, the real-time monitored data is reconstructed, and the two-dimensional graph highlighting the feature redundant information is generated, so that the fault recognition accuracy is improved.

The invention provides a partial discharge monitoring and early warning method for a switch cabinet. The method comprises the following steps: acquiring ultrasonic sensing data and transient grounding voltage data through configuration acquisition software, and preprocessing the ultrasonic sensing data and the transient grounding voltage data; inputting the real-time signal peak value into a pre-constructed CNN and LSTM-based partial discharge prediction model, and outputting a combined sequence containing original data and a predicted value; and performing M-K detection on the joint sequence for trend analysis, and performing early warning analysis in combination with the predicted value and an alarm threshold. According to the technical scheme, the CNN-LSTM is utilized to predict the partial discharge data sequence, and then trend analysis is carried out through the M-K inspection method to comprehensively consider two indexes of the amplitude of the partial discharge sequence and the trend parameter so as to realize early warning of the partial discharge of the cable joint. The CNN-LSTM combined method is adopted to carry out partial discharge data sequence prediction, the feature information extraction capability of the CNN and the sensitivity of the LSTM to the time sequence can be effectively integrated, and the trend data prediction effect is improved.

The invention relates to the technical field of intelligent power grids, in particular to an intelligent generation method and system for a substation switching operation ticket, and the method comprises the steps: constructing a weighted topological graph with switching equipment as nodes and electrical connection as edges according to a power line of a substation; assigning weights to the edges of the weighted topological graph; wherein the weight of the edge at least comprises direct operation cost and power grid disturbance cost; receiving a switching operation target task, and determining a search starting point and an end point in the weighted topological graph based on the target task; performing path search in the weighted topological graph by adopting an improved ant colony algorithm determined on the basis of a weight and an adaptive volatility coefficient based on the search starting point and the search ending point to obtain an optimal path; and converting the optimal path into a switching operation switch action sequence, and generating a switching operation ticket. Through the improved ant colony algorithm, the method comprehensively considers the number of operation steps and the impact influence of power grid operation, and facilitates the determination of a global comprehensive optimal path.

The invention relates to the field of switch cabinet heating control, and particularly discloses an intelligent self-adaptive heating system for a medium-voltage switch cabinet, which actively captures and quantifies the change rate of an external environment by introducing environment trend analysis to form a temperature risk slope and a humidity risk slope representing a future condensation risk. And generating a target temperature matched with the risk change rate based on the dynamic state. When the external environment is stable, the system adopts smaller safety margin to save energy; when it is monitored that the environment is sharply changed towards the easy condensation direction, the system can foreseeably and greatly improve the safety margin, and start and increase the power heating in advance, so that the thermal inertia of the equipment and the response delay of the heating system are effectively counteracted. In this way, the defects that in the prior art, response is delayed and condensation risks exist when environment sudden changes are dealt with are overcome, and meanwhile the energy-saving requirement under the stable working condition is considered.

The invention relates to the technical field of safety operation and maintenance of power equipment, in particular to an active anti-condensation control method, system and equipment for a switch cabinet and a medium, which are applied to an active anti-condensation control system for the switch cabinet and used for preprocessing operation environment data of the switch cabinet acquired by a sensing layer based on a data acquisition unit; cabinet body surface temperature fusion and dew point temperature calculation are carried out based on the risk research and judgment unit, a dynamic condensation risk index and a global risk index are obtained, and a risk level is judged through the obtained dynamic condensation risk index and a preset threshold value; and according to the risk level and the global risk index, based on a cooperative control unit and according to a preset multi-mode control strategy, generating a control instruction to perform active condensation prevention of the switch cabinet. Therefore, the early condensation trend is pre-judged, and faults such as insulation reduction and metal corrosion caused by condensation formation are effectively avoided.

The invention belongs to the technical field of power supply and distribution of a data center, and provides an electrical protection method and system for power supply and distribution of the data center, aiming at the data center of a 2N power distribution architecture, electric energy parameters of two paths of external mains supply are collected and transmitted to an EMS of an energy storage system, and system charging and discharging power is controlled and adjusted through the EMS. According to the fact that the sum of the power on the two alternating current buses is larger than a set protection threshold value, the first switch device is controlled to cut off the connection between the energy storage system and the second alternating current bus, overload of a superior line or a transformer during charging or power supply switching is prevented, and in addition, through the measures of a reverse power detection device, first-path voltage loss linkage and the like, the energy storage system can be effectively protected. An external electrical protection system independent of the energy storage system is added to form dual protection, so that a dual fault superposition scene of energy storage system faults or power grid faults is effectively isolated, and the reliability of an originally designed power supply network of the data center is guaranteed.

Changing electrical power needs for buildings often requires the upgrade of the electrical panel, the addition of extra panels, or both. Herein, a single electrical panel hosts power interface modules that connect to multiple power rails within the panel. The modules, which plug into the panel, convert power between the rails, or make and break connections between the rails, under the command of a system controller. The rails are connected to switchgear to which a variety of external power sources and loads can be connected. The modules are cooled by a heat exchanger and the waste heat may be directed outside or used to heat inside the building or heat domestic water.

The invention relates to the technical field of low-voltage switch cabinets, in particular to an interlocking mechanism, a hand-cranking movable plug-in type assembly and a hand-cranking movable plug-in type unit. The interlocking mechanism comprises a position interlocking mechanism and a closing interlocking mechanism; the rear end of a transition connecting rod of the closing interlocking mechanism is in linkage fit with a position locking plate through a linkage structure, and an interlocking part is arranged on a closing interlocking plate and used for being matched with the front end of the transition connecting rod to achieve closing interlocking. A plugging assembly rack of the hand-cranking movable plugging assembly is located behind the closing interlocking mechanism, and the rear end of the closing interlocking support is installed at the front end of an assembly rack bottom plate of the plugging assembly rack. The beneficial effects are that the closing interlocking mechanism and the position interlocking mechanism can be arranged front and back; the hand-cranking movable plug-in type unit can be maintained without power failure, the depth of a unit chamber can be 300mm, the depth of a plug-in assembly rack can be 200mm, and the hand-cranking movable plug-in type unit has the functions of isolation-connection position positioning, hand-cranking propelling mechanism locking, circuit breaker switching-on locking and circuit breaker switching-off unlocking.

The invention relates to the technical field of electrical equipment fault diagnosis, in particular to an acoustic-electric joint detection method, system and device for internal defects of GIS equipment and a medium, and the method comprises the steps: synchronously collecting an ultrasonic signal detected by a grating fiber ultrasonic sensing module and an ultrahigh frequency electromagnetic wave signal detected by an ultrahigh frequency sensing module; performing feature extraction on the ultrasonic signal and the ultrahigh-frequency electromagnetic wave signal to obtain a first feature parameter and a second feature parameter respectively; based on the arrival time difference of the ultrahigh-frequency electromagnetic wave signal and the ultrasonic wave signal, calculating the initial space position of the defect by adopting a time difference positioning method; and performing conjoint analysis on the first characteristic parameter and the second characteristic parameter in combination with the initial space position of the defect so as to identify the defect type. Through the arrangement, sound and electricity detection information can be deeply fused, a novel joint detection method with mutual verification and mutual promotion of positioning and identification is realized, and the integrity, accuracy and reliability of GIS internal defect diagnosis are effectively improved.

The application relates to the field of low-voltage electrical apparatus, in particular to a contact system and a switch electrical apparatus comprising the same, the contact system comprising a pivotally arranged rotary contact structure and at least one movable contact structure, the rotary contact structure comprising a rotary contact, the rotary contact comprising a rotary contact part, the movable contact structure comprising a movable contact, the movable contact comprising a movable contact part, the rotary contact part and the movable contact part being combined to make the rotary contact and the movable contact closed when the rotary contact is in a closed position; the movable contact structure further comprising an elastic member matched with the movable contact; during the breaking process of the rotary contact and the movable contact, the elastic member stores energy when the rotary contact part drives the movable contact part to move from an initial position to a disengagement position, the rotary contact continues to rotate, the elastic member releases energy to drive the movable contact part to reset to the initial position; the contact system and the switch electrical apparatus have high breaking capacity.

The invention discloses a reverse operation limiting structure for a slow-acting double-shaft three-station mechanism, which relates to the technical field of accessories of medium-voltage gas insulated metal-enclosed switchgear and comprises a mechanism bracket, a locking part and a limiting part. The mechanism support is rotatably connected with an indication shaft, a grounding operation shaft and an isolation operation shaft, and linkage is realized through a gear set. The locking part is matched with the elastic pin assembly through the locking disc, and locking of the indicating shaft is achieved. The limiting part is of an elastic locking structure, is arranged at the ends, penetrating out of the mechanism front plate, of the grounding operation shaft and the isolation operation shaft, is in an unlocking state when no external force is applied to the operation handle, and can limit the rotation angle of the operation shaft after the external force is applied. The limiting part is arranged at the foremost end of the operation shaft, so that timely and reliable mechanical limiting of reverse misoperation is realized, damage to a mechanism transmission part and a switch body is effectively prevented, and operation safety is guaranteed. The structure is ingenious, the number of parts is small, the occupied space is small, the reliability is remarkably improved, and the cost is reduced.