267 results about "Arc energy" patented technology

The invention belongs to the technical field of intelligent manufacturing and laser arc hybrid welding, and discloses a double-robot laser arc hybrid welding real-time regulation and control method based on digital twinning. According to the method, double robots are used, a laser-electric arc composite heat source digital twinborn model is constructed, a Gaussian distribution laser heat source and a double-ellipsoid electric arc heat source are integrated, and the dynamic behaviors (molten pool flowing and keyhole stability) of a molten pool and the generation probability of defects (air holes, cracks and the like) are predicted. And a visual sensor and an acoustic emission sensor on the two sides of the welding robot are used for capturing molten pool oscillation frequency and internal defect signals. And in combination with a reinforcement learning algorithm, welding path offset self-adaptive compensation and laser arc energy ratio adjustment are achieved, and closed-loop real-time regulation and control are formed by controlling the position of a welding gun of a welding robot and technological parameters. Based on a digital twinborn model, robot welding guns on the two sides can conduct synchronous welding on the two sides and can be independently adjusted while coupling is guaranteed according to the characteristics of specific materials, and high-quality welding is achieved.

The invention relates to the technical field of arc discharge control, in particular to an arc discharge machine control method based on multi-parameter collaborative optimization, which comprises the following steps of: generating a first regulation and control instruction by adopting a fuzzy PID (Proportion Integration Differentiation) algorithm based on a deviation value between a dynamic parameter feedback signal and a preset threshold value, the axial feeding speed of the servo motor, the power output curve of the arc generator and the coolant spraying time sequence are synchronously adjusted, so that the arc energy density gradient and the workpiece heat conduction rate form dynamic balance, the mechanical resonance frequency in the machining process is monitored through the vibration spectrum analysis unit, and when it is detected that the resonance intensity exceeds a safety threshold value, the coolant spraying time sequence is started. And a second regulation and control instruction is generated by triggering a frequency compensation algorithm, and the driving frequency of the servo motor is corrected in real time, so that the control precision is improved, the arc discharge process is more stable, the response speed is increased, the arc discharge time is shortened, the adaptability is enhanced, the requirements of different materials and processes can be met, the energy consumption is reduced, and the production efficiency is improved.

The invention discloses an accurate zero crossing point control method for a built-in relay of a large-current electric energy meter, which relates to the technical field of power electronics and intelligent metering and comprises the following steps of: receiving a power grid voltage digital signal, determining a voltage zero crossing point by comparing symbol changes of adjacent sampling values, establishing a phase corresponding relation between voltage and current, and calculating a current phase corresponding relation; generating current zero crossing point prediction data; when a relay switching instruction is received, the specific moment of the next current zero crossing point is calculated, and the control signal sending moment is determined; a relay driving control signal is sent, the actual action completion moment of the relay is collected, the deviation from the expected zero crossing moment is calculated, and the mechanical action delay time parameter of the relay is corrected. By predicting the current zero-crossing time and considering the mechanical action delay characteristic of the relay, accurate switching of the built-in relay at the actual current zero-crossing point is achieved, meanwhile, the self-adaptive adjusting capacity is achieved, the arc energy during large-current switching is reduced, the service life of the relay is prolonged, and the reliability of the electric energy meter is improved.

The invention discloses a fault detonation simulation test method and platform for an extra-high voltage converter transformer network side bushing, and the method comprises the steps: providing a critical value calculation method for primary physical explosion and secondary chemical explosion of the extra-high voltage converter transformer network side bushing under different arc fault energy conditions; and the critical conditions of primary physical explosion and secondary chemical explosion can be accurately judged. According to the invention, the whole dynamic evolution process from rapid cracking of transformer oil and sudden pressure increase caused by converter transformer fault arc to superposition of physical explosion and explosion chemistry can be truly simulated, a grid-side bushing fault detonation critical discrimination method is provided, and technical parameters and theoretical support are provided for the explosion-proof and pressure-relief design of the converter transformer.

A method and system for predicting an effective remaining electrical life of a high-voltage circuit breaker. A circuit breaker electrical life test is carried out and associated data sets of single arcing times and single arcing energy are constructed; a degree of wear of a contact is replaced with accumulated arcing energy to characterize whether a circuit breaker fails; and function fitting is used to construct the relationship between the single arcing energy and the single arcing times; and on this basis, the method for predicting an effective remaining electrical life of a high-voltage circuit breaker is formed. Therefore, the rapid and accurate prediction of a remaining service life of a circuit breaker can be realized only by measuring simple data, thereby providing guarantee for the reliable operation of a power grid.

The invention belongs to the technical field of connectors, and discloses a high-voltage large-current connector which comprises a working box and a plug shell, the inner wall of the working box is fixedly connected with a socket shell, the two ends of one side of the inner wall of the socket shell are fixedly connected with high-voltage terminal pieces respectively, the two sides of the outer wall of the socket shell are fixedly connected with protruding rods respectively, and the high-voltage large-current connector further comprises a plug, when the current connecting mechanism is pulled out of the plug shell, firstly, a connecting block is pushed in the direction close to the working box, the connecting block drives a transverse plate and a bent plate to move, and the bent plate drives a movable plate to push and extrude a sliding plate, so that the sliding plate pushes nitrogen in a fixed shell into a conical head gas pipe; nitrogen enters the socket shell and the plug shell through the conical head gas pipe, generation of an electric arc and consumption of electric arc energy are restrained through the chemical stability of the nitrogen, generation of the electric arc can be effectively restrained, when a high-voltage terminal piece is separated from a high-voltage terminal line, the electric arc energy can be rapidly consumed through injection of the nitrogen, and damage of the electric arc to equipment is prevented.

The invention provides a transformer on-load tap-changer on-line monitoring and fault diagnosis method, and relates to the technical field of electrics. The method comprises the following steps: acquiring electric arc energy and on-load tap-changer contact position information generated during the switching action of a transformer on-load tap-changer; determining a switching performance score; acquiring operation data of the on-load tap-changer of the transformer; inputting the operation data into a trained fault probability prediction model, and obtaining predicted fault probability data during the switching action of the transformer on-load tap-changer; determining whether the transformer on-load tap-changer meets a preset target condition or not; if the on-load tap-changer of the transformer meets the preset target condition, determining that the state of the on-load tap-changer of the transformer is a normal state; and if the transformer on-load tap-changer does not meet the preset target condition, determining that the state of the transformer on-load tap-changer is a fault state. According to the invention, the state of the on-load tap-changer can be comprehensively monitored according to the switching performance and the predicted fault probability.

The invention provides a multi-field regulation and control excitation welding device and system and a magnetic field control method. The welding device comprises a welding gun; the excitation magnetic poles are symmetrically arranged on the two sides of the welding gun. The at least one group of common magnetic poles are arranged on one side of the welding gun and are respectively connected with a pair of excitation magnetic poles; in a first power-on state, one of the pair of excitation magnetic poles and the common magnetic pole are communicated with first current at the same time; in a second power-on state, the other one of the pair of excitation magnetic poles and the common magnetic pole are communicated with second current at the same time; and when the welding gun is in a working state, the first current and the second current are alternately started to form double-path pulse current so as to generate a pulse composite magnetic field capable of acting on the electric arc, the molten pool and the molten drops. According to the welding device, molten pool flowing and molten drop transition can be regulated and controlled in the transverse direction, the longitudinal direction and the vertical direction correspondingly, electric arc energy distribution is optimized, the penetration depth and molten pool swinging are increased, the welding speed is increased, root penetration is enhanced, weld joint forming is improved, welding heat input is reduced, welding deformation is reduced, and the manufacturing cost is reduced.

The invention relates to the technical field of power control, in particular to a direct-current load dynamic control method and system based on active arc extinguishing, and the method comprises the steps: collecting the electrical parameters and non-electrical parameters of a direct-current electric appliance in real time; performing arc energy calculation on the electrical parameters and the non-electrical parameters to obtain an arc energy characterization index; acquiring response demand characteristics of the low-voltage power distribution system to the direct-current electric appliance and application environment characteristics of the direct-current electric appliance in real time; performing arc risk assessment on the response demand characteristics, and determining a first arc risk threshold value of the DC electric appliance at the moment; correcting the first arc risk threshold value in real time by considering the influence generated by the characteristic arc of the application environment to obtain a second arc risk threshold value; and determining a load control strategy of the direct-current electric appliance according to the difference amplitude between the electric arc energy characterization index and the second electric arc risk threshold value in response to the electric arc energy characterization index exceeding the second electric arc risk threshold value.

The invention relates to the technical field of electrical fault positioning, in particular to an urban rail train relay state online monitoring method and system. The specific implementation process comprises the following steps: collecting coil current, contact voltage, load current and environment vibration signals by using an electrical sensor group; when the coil current is subjected to step change, intercepting an electromechanical characteristic data set; arc energy and contact resistance fluctuation characteristics are calculated, correlation analysis is carried out in combination with environment vibration signals, and passive fluctuation and active fluctuation are distinguished; and establishing a multi-factor health degree evaluation model, dynamically adjusting the arc energy and the weight coefficient of the contact resistance according to the magnitude of the load current and the vibration intensity, monitoring the health state of the relay in real time, and predicting the residual life. Through multi-dimensional data synchronous acquisition and vibration decoupling, the interference of mechanical vibration on electrical performance monitoring is effectively eliminated, the problem that a dynamic working condition cannot be reproduced in an off-line test is improved, and the accuracy of relay state evaluation and service life prediction is remarkably improved.

The invention discloses a vacuum circuit breaker breaking method for a new energy occasion, particularly relates to the technical field of power equipment breaking control, and is used for solving the problems of local ablation and breaking life attenuation caused by non-uniform distribution of arc energy on the surface of a contact in an existing high-frequency harmonic environment. The dominant frequency component of the high-frequency harmonic is extracted in real time, and arc energy concentration area distribution is generated in combination with contact material characteristics; dynamically evaluating the thermal conductivity attenuation degree based on grain structure degradation, and adaptively matching the opening speed curve and the energy diffusion rate; the anode spot migration path is identified through dynamic impedance gradient monitoring, and the magnetic field distribution of the arc extinguish chamber is synchronously adjusted to realize targeted suppression; and after breaking, a clean electric arc matched with a damage path is triggered for cladding repair, so that the breaking stability of the vacuum circuit breaker under the impact of high-frequency harmonic waves and the ablation resistance of the contact are remarkably improved.

The invention discloses a contact service life prediction method based on big data, and relates to the technical field of contact service life prediction.The contact service life prediction method comprises the steps that operation data of a contact is collected, multi-modal feature fusion is conducted on the operation data, an arc energy dominant frequency, an impact damage amount, a temperature rise rate and an environment corrosion index are extracted, and an N * 8-dimensional feature matrix is constructed; on the basis of the final predicted life data calculated in the step S2, vibration correction factors and resistance change rates are obtained in real time, the final predicted life data are verified in combination with a digital twin platform, and model parameters are optimized. And the contact stability of the contact is combined, so that the precision of predicting the service life of the contact is remarkably improved. And meanwhile, real-time prediction and early warning are realized, the adaptability is enhanced, the equipment failure rate and the maintenance cost are reduced, and a powerful guarantee is provided for safe and stable operation of a power system.

The invention relates to the technical field of life evaluation, in particular to a circuit breaker life evaluation method and system for switching an alternating current filter in an extra-high voltage converter station, and the method comprises the steps: collecting multi-dimensional operation data in the operation process of a circuit breaker in real time; extracting a high-frequency-band energy ratio as a contact system abrasion loss characteristic parameter; establishing an arcing energy accumulation model according to the arc light intensity time sequence signal, and calculating an effective arcing energy value of a single operation; constructing a life weight distribution model, inputting the wear loss characteristic parameters, the arcing energy accumulation value and the environment temperature and humidity data into the model, and outputting a mechanical wear index, an electric corrosion index and an environment degradation index; establishing a three-axis linkage correction function; generating a comprehensive life evaluation index based on the corrected mechanical wear index, electric corrosion index and environmental degradation index, and triggering an early warning signal when the index exceeds a preset threshold value; according to the invention, by establishing the life evaluation model based on multi-dimensional data fusion, the precision and reliability of life prediction of the circuit breaker of the extra-high voltage converter station are significantly improved.

The invention provides a high-strength steel laser-arc hybrid welding monitoring method based on acoustic feature extraction. The high-strength steel laser-arc hybrid welding monitoring method comprises the steps that firstly, laser-arc hybrid welding sound signals are collected and preprocessed; step 2, constructing a sound signal feature analysis method; step 3, extracting sound signal features; step 4, feature fusion and dimension reduction; by means of the high-strength steel laser-arc hybrid welding monitoring method based on acoustic feature extraction, frequency-band-divided wavelet noise reduction can be achieved, and noise and effective signals are effectively separated; the multi-frequency-band feature extraction can be carried out for the low-frequency band and the high-frequency band, and the joint feature extraction can be carried out for the cross-frequency band; therefore, the problem of coupling of multi-source acoustic signals of hybrid welding is solved, and meanwhile quantitative evaluation of the laser-arc energy coupling state can be achieved.

Embodiments of the present disclosure provide a low-voltage fault arc identification method and apparatus, a medium and a device. The method comprises: using a period difference method to perform feature extraction on an acquired low-frequency signal within 3kHz of an electricity meter, and determining a low-frequency fault arc time domain feature vector; using generalized S-transform to perform feature extraction on an acquired intermediate-frequency current signal within 100kHz of the electricity meter, and determining an intermediate-frequency fault arc energy feature; inputting the low-frequency fault arc time domain feature vector and the intermediate-frequency fault arc energy feature into a pre-trained neural network identification model, and outputting fault arc signal presence information; and on the basis of the fault arc signal presence information, determining whether a fault arc signal is present or not.

The invention relates to the technical field of electrical safety protection devices, in particular to a branching buckle type new energy fuse. The fuse comprises a tube body which is provided with a through accommodating space; the branching buckle assembly comprises a first branching buckle and a second branching buckle which are embedded into the two ends of the pipe body respectively; the fuse assembly comprises a plurality of fuse parts and supporting parts which are in one-to-one correspondence, the fuse parts are wound on the supporting parts and penetrate through the accommodating space, and the two ends of the fuse parts and the two ends of the supporting parts are fixed to the first branching buckle and the second branching buckle together; and the end cap assemblies are arranged at the two ends of the pipe body in a sleeving manner so as to cover the first branching buckle and the second branching buckle. According to the invention, the arc energy is shared by designing a plurality of fuse pieces, the overall performance and stability of the fuse can be improved, and a reliable electrical protection effect is realized.

The utility model relates to the technical field of photovoltaic junction boxes, in particular to a self-cleaning arc-proof photovoltaic junction box circuit structure, which comprises an arc detection module, an energy conversion module, a control module, a self-cleaning execution module and a communication module. The arc detection module monitors an arc signal in the junction box in real time and generates a trigger signal, the energy conversion module converts arc energy into direct current and stores the direct current, and the control module monitors the voltage of the capacitor bank and generates an energy release instruction or a restart charging instruction when the voltage reaches a threshold value. The self-cleaning execution module generates shock waves through high-voltage pulses to remove accumulated dust, and the communication module is responsible for uploading data to an external monitoring system. And arc protection is realized by using the shielding cable and the filter circuit. According to the scheme, closed-loop control of energy recovery and self-cleaning is realized, self-cleaning is carried out by utilizing recovered arc energy, the energy utilization efficiency is improved, the safety and self-maintenance capability of the junction box are remarkably improved, the manual intervention frequency is reduced, and the junction box conforms to the green and energy-saving trend.

The invention discloses a self-energy arc extinguishing device, a circuit breaker and an electric power system, the self-energy arc extinguishing device comprises an air compression chamber, an expansion chamber, a first nozzle and a moving arc contact, and a piston pull rod is arranged in the air compression chamber; the expansion chamber is connected with the air compression chamber, and the front end of the piston can extend into the expansion chamber to form a boosting air chamber; the first nozzle is arranged at the end, away from the air compression chamber, of the expansion chamber, and an arc generation area is formed in the first nozzle. The moving arc contact is arranged at the front end of the piston, a first channel is arranged in the moving arc contact, one end of the first channel is communicated with the boosting air chamber, the other end of the first channel faces the arc generation area, a first one-way valve is arranged on the circumferential wall of the boosting air chamber, and the first one-way valve is configured to enable the boosting air chamber to be communicated with the expansion chamber in a one-way mode. The self-energy arc extinguishing device can make full use of expansion pressure caused by arc energy, and the voltage building capacity of the expansion chamber is greatly improved.

The invention relates to the technical field of electric power equipment detection and fault diagnosis, and discloses a transformer fault degree evaluation method and system based on arc fault gas production content. An arc channel is divided into an edge temperature zone and a core temperature zone, and according to the reaction enthalpy change relation between arc energy and oil pyrolytic reaction, the gas production content of the arc channel is calculated; the equivalent pyrolysis temperature T of the thermal decomposition reaction of hydrocarbon in the oil in the arc marginal area is solved, the marginal equilibrium constant of the thermal decomposition reaction of the marginal area is further obtained, and the fault gas content of the marginal temperature area and the fault gas content of the core temperature area when the fault occurs are accurately obtained by combining the core equilibrium constant of the core temperature area. And therefore, the fault degree of the transformer can be accurately evaluated.

The invention relates to a modular intelligent power distribution cabinet safety management method based on the Internet of Things, particularly discloses a modular intelligent power distribution cabinet safety management method based on the Internet of Things, and aims to solve the problems that a traditional power distribution cabinet monitoring system is poor in expansibility, weak in fault recognition capability and rigid in protection strategy. The method comprises the following steps: deploying a modularized sensing unit with a standardized interface to realize plug and play; multi-dimensional data of current, voltage, temperature and arc light are synchronously acquired at a high sampling rate; data are fused on the edge side through Kalman filtering, and key features such as harmonic distortion rate, voltage sag depth, temperature gradient change rate and electric arc energy accumulation value are extracted; performing dynamic risk assessment by using a five-layer deep belief network model, and triggering early warning when the high risk probability exceeds a threshold value; adaptively adjusting an overcurrent protection constant value, opening delay and isolation logic according to an evaluation result; and the edge-cloud coevolution is realized by continuously optimizing the model and the strategy through cloud reinforcement learning.

The invention belongs to the technical field of power application, and aims to solve the problems that arc energy of an existing three-phase switch is difficult to accurately control and potential safety hazards exist when an electronic scheme is adopted. A split-phase independent control three-phase switch provided by the present invention comprises a switch body and three switch mechanisms, each switch mechanism comprises a shell, a handle, a linkage assembly, a moving contact assembly, a static contact, an arc extinguish chamber, a microswitch and a tripping assembly, the moving contact assembly and the arc extinguish chamber are both arranged in the closed shell, and the static contact assembly is arranged in the shell. The handle is connected with the moving contact assembly through the linkage assembly, the joint position of the moving contact assembly and the static contact is located in the arc extinguish chamber, and the linkage assembly is arranged to be capable of being connected with the microswitch when the moving contact assembly is connected with the static contact. The tripping assembly is set to enable the linkage assembly to drive the moving contact assembly to be separated from the static contact when the current reaches a set threshold value. The three-phase switch can accurately control arc energy, adopts a mechanical tripping mechanism to optimize a protection structure, and has no potential safety hazard.

The invention discloses a voltage circuit breaker AC open circuit control method and device, and relates to the technical field of open circuit control, and the method comprises the following steps: obtaining a target waveform sequence of a target AC circuit, and obtaining a fundamental component and a higher harmonic component through frequency domain decomposition, so as to extract current waveform features; constructing a zero-crossing prediction model based on current waveform characteristics, dynamically correcting the prediction model in combination with higher harmonic components and load asymmetry characteristics, and generating a preliminary breaking moment candidate interval; determining a final on-off moment by combining the instantaneous power direction reversal point and an arc maintenance energy threshold value; and triggering the circuit breaker to act at the final breaking moment, and dynamically adjusting the contact separation speed based on the residual arc energy until the arc energy is attenuated to a safety value. According to the method, the zero-crossing prediction model is constructed by extracting the current waveform characteristics, the contact separation strategy is dynamically corrected, and the problems of arc extension and equipment damage of a traditional circuit breaker under the condition of harmonic distortion or sudden disturbance are solved.

The invention relates to the technical field of layered metal, and discloses a metal layered material self-adaptive welding parameter regulation and control method and system.The method comprises the steps that the temperature gradient response amplitude value and the interlayer thermal deformation quantity of an interlayer bonding area of a welding pool are extracted; the equivalent difference value of the expansion coefficients of the adjacent material layers under the same welding heat is obtained, the interface strain rate of the adjacent material layers is corrected based on the equivalent difference value, and the thermal deformation relative offset of the metal layered material is obtained; inverting a diffusion path of the characteristic elements in the interlayer bonding area to obtain an alloying process index of the metal layered material; when the alloying process index is lower than a critical value, the arc energy density in the welding pool is reduced, and the swing frequency of a welding gun is increased; dynamically compensating welding thermal parameters of the welding pool according to the change rate of the interlayer thermal deformation quantity in a layered material thickness abrupt change area; according to the method, the welding quality of self-adaptive welding of the metal layered material can be improved.

The invention relates to the technical field of wire feeding devices of welding equipment, in particular to a wire feeding device of welding equipment, which comprises a shell, a rotating rod is arranged at one end of the shell in a penetrating manner, the rotating rod is rotatably connected with the shell, and a rotating part for driving the rotating rod is mounted on the outer side of the shell; a supporting frame is arranged in the shell, and the supporting frame is fixedly connected to the rotating rod in a sleeving mode; by means of the rotating rod, the supporting frame and a matching mode mechanism, when thick plates such as an automobile chassis are welded, two strands of welding wires are wound and conveyed, meanwhile, the winding stability of the two strands of winding welding wires is further guaranteed under the driving of the hot-pressing converging mechanism, and the welding quality is improved. The two strands of wound welding wires form a twisting effect in an electric arc, so that the energy of the electric arc is concentrated, the fusion depth and the welding speed are further improved, meanwhile, the defect risks of air holes, cracks and the like during welding are reduced, and the welding seam forming quality is further guaranteed.

The invention provides a multi-factor influence static contact ablation loss and degradation evaluation method, which comprises the following steps: acquiring environmental condition parameters according to arc energy transfer distribution, fusing the environmental condition parameters into a simulation process, and determining a material loss initial rate; if the initial material loss rate exceeds a preset threshold value, analyzing the influence of arcing time on energy transfer through a neural network model, and judging an evaporation splashing proportion; carrying out data fusion on a material melting mechanism by adopting the evaporation splashing proportion to obtain an ablation depth quantized value; obtaining a nonlinear feature adjustment coefficient under the influence of multiple factors through the ablation depth quantized value, and determining a contact fault risk level; according to the contact fault risk level, iteratively optimizing the environmental condition variable by adopting finite element simulation to obtain a material loss accumulation curve; and if the material loss accumulation curve displays an acceleration trend, predicting the residual arcing time bearing capacity through a neural network, and judging the end point of life.

The invention relates to the technical field of life prediction, in particular to a high-voltage switch cabinet contact life management system based on digital twinning, which comprises a thermal behavior acquisition module, a conductive state construction module, a thermal loss dynamic evaluation module, a thermal disturbance response regulation and control module and a life mapping driving module. According to the method, temperature difference and time interval in an on-off period are collected, thermal stress change is calculated in combination with current density, thermal characteristics of materials are correlated, thermal behaviors of a contact are dynamically reflected, a conductive path boundary is reconstructed based on contact area and pressure offset, a through-flow state is accurately described, and heat accumulation and arc energy input are extracted. The method comprises the steps of analyzing a temperature trend under thermal diffusion lag, constructing a heat loss evolution curve, adjusting thermal conductivity distribution through a ratio of temperature rise to mass migration rate, improving local adaptability of thermal disturbance response, generating a life attenuation layer in combination with equivalent thermal mechanical load and fatigue tolerance, and enhancing dynamic nature and precision of evaluation. And accurate judgment and management of the degradation area are realized.

The invention provides a long-gap in-oil arc test platform and an energy calculation method, and relates to the technical field of in-oil arc energy calculation, the long-gap in-oil arc test platform comprises a current source loop and a discharge loop, the current source loop is used for providing large current for the discharge loop, and the discharge loop is used for providing large current for the discharge loop. The discharge loop comprises an in-oil arc test tank body, a voltage measuring instrument, a current measuring instrument, a temperature measuring instrument, an image acquisition instrument and N metal probes, wherein N is a positive integer. According to the energy calculation method, short arc injection energy and loss energy are calculated through piecewise linear discretization, and energy calculation errors are reduced; meanwhile, the arc energy space-time distribution characteristics are obtained, and a theoretical basis is provided for research of an arc dynamic breakdown mechanism.

The invention relates to the technical field of electrical safety, and particularly discloses an arc fault protection method based on a circuit breaker intelligent algorithm, which comprises the following steps: S1, collecting a line current signal in real time, eliminating harmonic interference of a frequency converter from an original signal through an anti-aliasing filter, and converting the original signal into a digital signal; s2, processing the current signal by adopting a three-stage cascade wavelet analysis module, and outputting a dynamic peak-to-average ratio to S4; s3, detecting current disturbance based on a double-slide-rail window, outputting a disturbance positioning mark and a time-frequency feature to S4, judging a disturbance event, and positioning a starting point; s4, receiving the dynamic peak-to-average ratio of the S2 and the disturbance positioning mark and the time-frequency characteristics of the S3, performing path processing according to a characteristic analysis result, and adopting a direct interruption method and an electromagnetic radiation-current frequency domain cross validation method; s5, constructing an electric arc energy accumulation prediction model; according to the invention, the problems of weak arc leak detection, electromagnetic interference maloperation and delay are solved.

The invention relates to the technical field of electric arc detection, in particular to a multi-parameter detection test platform for electric arcs in casing oil. The platform establishes a mapping relation between first arc parameter data (including arc current data and voltage data) and second arc parameter data (including pressure data and bubble data) in casing oil, and judges the development state of arc faults in the casing oil according to the mapping relation. The method comprises the following steps: determining a key moment based on arc current characteristics by adopting a time sequence segmentation acquisition mechanism; establishing a mapping relation between an electrical parameter and a non-electrical parameter by using the arc energy as an intermediate quantity; a plurality of acquisition units are arranged in the sleeve oil tank for cooperative detection, and a temperature acquisition device is arranged for parameter correction. When an arc fault is detected, the system triggers the adjacent acquisition units to synchronously acquire data, analyzes a fault extension trend and sends out an early warning signal in time. According to the invention, full-process intelligent monitoring from arc parameter acquisition to fault diagnosis is realized.

The invention provides a fault arc energy limiting method and device. The method comprises the following steps: acquiring electrical parameters of a power grid deployed with a fault current limiter; generating an error signal according to the electrical parameter and a preset reference value; performing conversion operation on the error signal to generate a pulse width modulation wave so as to control the fault current limiter to perform amplitude limiting on the fault current; calculating fault arc energy according to the obtained amplitude-limited fault current and the dynamic characteristics of the fault current limiter; and adjusting a control parameter of the fault current limiter according to the fault arc energy and a preset arc safety energy threshold so as to limit the fault arc energy. According to the fault arc energy limiting method and device provided by the invention, the accurate regulation and control of the current in the fault state are realized, and the energy dissipated in the arc is estimated and limited in real time, so that the arc energy does not exceed the estimated worst condition when the fault occurs, and the safety and stability of a power system are remarkably improved.