23 results about "Arc model" patented technology

The application discloses a high-speed railway pantograph-catenary arc electromagnetic radiation interference modeling analysis method, constructs a pantograph-catenary arc-pantograph power supply system integrated model containing a traction substation model, a traction network model, a train traction transmission system model, a train-track return current grounding system model and a pantograph-catenary arc model; under a pantograph-off arc transient condition, arc current is obtained through simulation calculation; and based on the arc current, a relationship between arc radiation power and spatial equivalent electric field intensity is established to represent the influence of time-varying characteristics of traction network electrical parameters on pantograph-catenary arc electromagnetic radiation interference. Under the pantograph-off arc transient condition, the real-time changes of impedance and capacitive reactance parameters of the traction network are involved in the unified solution of arc current formation, radiation power evolution and spatial electric field intensity calculation, and meanwhile, key coupling factors of the train high-voltage system and the train-track grounding system are mainly considered, so that the accuracy and engineering applicability of pantograph-catenary arc electromagnetic radiation interference analysis are improved.

The application discloses a multi-feature fusion-based arc model discrimination method and device and a medium, relates to the field of fault arc detection, and aims to solve the problem of misjudgment in arc discrimination. The parameter region is based on an arc current signal, and dimensioned features and dimensionless features at different frequencies are extracted. The dimensioned features and the dimensionless features at different frequencies are respectively input into a convolutional neural network for training after feature fusion. The dimensioned features and the dimensionless features after fusion are input into the convolutional neural network for training after feature fusion, and a fusion result is obtained to determine whether an arc exists. The high-frequency features (dimensionless features and dimensioned features) at different frequencies are combined, feature fusion is performed in the convolutional neural network layer training process, different feature characteristics are analyzed and obtained from different angles, the diversity and comprehensiveness of the features are reasonably improved, the influence of low-frequency interference in the environment on discrimination is greatly reduced, and the misjudgment rate can be obviously improved.

The application discloses a method, device, equipment and medium for determining an anode sheath length of an arc model. The method comprises the following steps: in the first step, a first arc root radius is determined according to a current density output by a first arc generation model; in the second step, a second arc root radius is determined according to the first arc root radius and a second arc generation model, wherein an input parameter of the second arc generation model comprises a first anode sheath length; and in the third step, the anode sheath length is determined according to the first arc root radius and the second arc root radius. By determining the anode sheath length, the application is beneficial to solving the problem of slow solving speed and non-convergence of arc model simulation calculation, thereby being beneficial to establishing a more accurate arc simulation model.

The application establishes a short-circuit arc to a potential arc evolution process space-time evolution model, specifically including a short-circuit arc internal space electric field model and a potential arc evolution model with randomness. A large number of ions and electrons exist in the short-circuit arc channel, and the internal electric field of the short-circuit arc model cannot be directly calculated. The application establishes a short-circuit arc internal space electric field model based on a particle swarm algorithm and a simulation charge method to further obtain the short-circuit arc internal space electric field strength. Based on the above short-circuit arc internal electric field model, the short-circuit arc internal space electric field is used as an independent variable of the potential arc development to establish a short-circuit arc to a potential arc evolution model with randomness, and the space form of the potential arc at the evolution time is obtained. The application combines the physical characteristics of the short-circuit arc to the potential arc evolution, realizes the short-circuit arc to the potential arc evolution model based on the existing optimization algorithm, and provides technical support for the potential arc suppression in engineering.

The invention discloses a broadband conducted electromagnetic interference modeling method for very fast transient overcurrent on a secondary side of an electronic transformer, and belongs to the technical field of electromagnetic compatibility test simulation, and the method comprises the following steps: constructing a multi-arcing model of a GIS isolation switch, which is used for simulating and generating very fast transient overcurrent VFTC; the multi-arcing model is constructed by introducing fracture dynamic capacitance, establishing a segmented arc resistance model and setting arcing and quenching criteria; according to the method, fracture dynamic capacitance is introduced at the fracture of the disconnecting switch, segmented arc resistance models of three stages of pre-breakdown, steady-state combustion and arc quenching are fused, and meanwhile, accurate arcing and arc quenching criteria based on dynamic breakdown voltage and current zero-cross detection are set; the constructed multi-arcing model can highly vividly reproduce the VFTC waveform generated during the operation of the GIS disconnecting switch.

The application relates to a method and device for establishing a single-phase grounding fault arc model. The method comprises: collecting arc data and load data in an arc stage; and establishing an arc model according to the arc data and the load data, which comprises: obtaining an arc starting resistance according to arc current, arc voltage, load current and load voltage in an arc starting stage; obtaining an arc burning resistance according to arc current, arc voltage, load current and load voltage in a steady-state arc burning stage; and obtaining an arc extinguishing resistance according to arc current, arc voltage, load current and load voltage in an arc extinguishing stage. The application establishes the arc model in three stages, i.e., the arc starting stage, the steady-state arc burning stage and the arc extinguishing stage, so that the arc model in each stage is more in line with the arc characteristics of the respective stage, thereby better simulating an actual single-phase grounding fault arc.

The application discloses a pantograph-catenary arc electrical characteristic and transient overvoltage analysis method considering the influence of time-varying parameters, in which, in the transient analysis of pantograph-catenary off-line arc, time-varying impedance and capacitive impedance parameters of a traction network are introduced into the pantograph-catenary arc electrical characteristic formation process for the first time, and an improved arc model considering the influence of train speed and a fine train-track grounding system model are combined to realize the unified analysis of the overvoltage of a train roof and a train body, avoid the overvoltage evaluation deviation caused by the static traction network parameters and the simplified grounding model, and improve the accuracy and engineering applicability of the pantograph-catenary off-line arc transient overvoltage analysis.

1. Name of the product in this design: Baking Display All-in-One Machine (Arc Model). 2. Purpose of this design: For food sales and display. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention provides a contact line ablation area determination method and device based on a dynamic offline behavior, and relates to the technical field of pantograph-catenary system simulation. According to the method, a pantograph-catenary transient arcing model is established, and an overall motion equation of a pantograph-catenary system is constructed; the method comprises the following steps: establishing an overall motion equation, determining a longitudinal distance between a pantograph and a contact line under the dynamic offline behavior of the pantograph-catenary system based on the overall motion equation, establishing a contact line ablation model under the transient arcing action of the pantograph-catenary system, and carrying out analogue simulation on the pantograph-catenary system based on the transient arcing model of the pantograph-catenary system, the longitudinal distance between the pantograph and the contact line and the contact line ablation model. When the pantograph-catenary system is simulated, the longitudinal distance between a pantograph and a contact line is applied to a pantograph slide plate, the contact line ablation model is applied to the lower surface of the contact line as a boundary condition, the pantograph-catenary transient arcing model acts in an air domain, and the contact line ablation area is obtained. The cumulative effect of transient arcing can be accurately reflected, and the accuracy of the ablation area of the contact line is improved.

The application discloses a kind of based on deep learning's fault arc accurate detection method and system, belong to low-voltage distribution safety and electrical fire early warning technical field.The present application is aimed at the problem that fault arc is prone to occur, difficult to detect in low-voltage distribution system, and the high false detection and missed detection rate of traditional method, a high-precision, fast detection scheme of fusion current time-frequency domain feature and deep learning model is proposed.The present application quickly locates current disturbance by improving CUSUM algorithm, greatly reduces the amount of calculation;Automatic extraction current time-frequency domain joint feature, input Stacking double-layer integrated deep learning model to realize high-precision fault classification;Combined with double exponential arc model to expand samples, improve generalization ability.The detection accuracy of the present application reaches 99.06%, and the detection time is only 10% of the traditional method, can effectively identify series, parallel, ground fault arc, adapt to residential, commercial, industrial and other complex multi-load scenarios, and support multi-branch line fault positioning, with high precision, low delay, strong robustness, easy deployment and other advantages, can be widely used in arc fault circuit interrupter, electrical fire monitoring system, to prevent electrical fire from the source.

The invention belongs to the technical field of artificial intelligence, and provides an arc model parameter optimization method based on an improved Asian wolf optimization algorithm, and the method comprises the steps: collecting an arc current signal based on a current sensor, and extracting the spectrum capability waveform of the arc current signal; establishing a direct-current arc noise model according to the arc current signal spectrum capability waveform; constructing an objective function based on the root-mean-square error, and determining a to-be-optimized parameter; and executing the improved Asian wolf optimization algorithm, and optimizing the to-be-optimized parameters. According to the method, the Asian wolf optimization algorithm is introduced through the chaos self-scaling learning mechanism, adaptive interaction of population individual position information is achieved through the chaos self-scaling learning mechanism, the optimization algorithm can be effectively prevented from being caught in premature convergence, the convergence speed is increased, and the method has high recognition precision for parameters of the direct-current arc noise model.

The application relates to the technical field of high-voltage power transmission and distribution, and provides a Mayr arc model construction method and system based on a dynamic arc radius and a random length, which comprises the following steps: generating a multi-dimensional random state vector representing micro-instability in the arc; calculating a random effective arc length and a dynamic arc radius according to the multi-dimensional random state vector, an instantaneous arc current and a mechanical contact spacing; calculating a dynamic time constant, a heat dissipation power and an arc voltage correction amount based on the random effective arc length and the dynamic arc radius, and solving an improved Mayr differential equation to update an arc conductance; feeding back and modulating evolution parameters of the multi-dimensional random state vector according to a power imbalance degree calculated by the arc conductance, and adjusting secondary empirical coefficients in the dynamic arc radius and the dynamic time constant; and generating the Mayr arc model after complete time domain iteration. The method generates a high-fidelity Mayr model which can reflect arc physical randomness and is suitable for probabilistic evaluation.

The method for identifying fault arc based on model parameter correlation degree comprises the following steps: detecting current information of the fault arc and inputting to an arc feature identification module; the arc feature identification module identifies valid information and inputs to a fault arc parameter reconstruction module, which reconstructs parameters based on an adaptive fault arc model; the obtained reconstructed parameter set is input to a parameter correlation degree processing module for parameter correlation degree processing; the obtained reconstructed parameters and obtained correlation degree information are compared with an arc feature library caused by a fault type set in a power fault type processing module; and the power fault caused by the fault arc is classified according to the comparison result. The method classifies the electrical fault type according to the difference of the fault arc feature and the correlation degree relationship of the reconstructed model parameters, and takes appropriate measures based on the fault type category to improve the operation and management level of the distribution network.

The application relates to a transformer continuous winding parameterized modeling method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: acquiring at least one double-line pie model, the double-line pie model acquisition step comprising the following steps: reading parameter data of a continuous winding and initializing the parameter data, constructing a positive pie model and a reverse pie model based on pie internal wire turn connection schemes and wire turn start and end coordinates determined according to the parameter data; correcting model coordinates according to the parameter data and confirming an inter-pie arc connection scheme; acquiring a first wire turn arc model to connect two models based on the corrected coordinates and the arc connection scheme, and obtaining a double-line pie model; acquiring at least one second wire turn arc model to connect at least one double-line pie model, and acquiring a single-coil model; and repeatedly executing the above steps to obtain at least one single-coil model, which is used to construct a transformer continuous winding model. The method can be used for parameterized modeling of a transformer continuous winding.

This invention relates to the field of circular arc gear design methods, and particularly to a method and system for designing half-tooth and full-tooth profiles based on LM iteration, and related to gears. The half-tooth profile comprises three sequentially connected curves: the addendum arc, the involute, and the root arc. This invention provides the equations for these three curves, extracts points B and C as the desired endpoints of the involute, and uses the LM iteration algorithm to solve for the starting and ending angles of γ. Several values ​​are sequentially taken from each of the three curves and substituted into the corresponding addendum arc model, involute model, and root arc model to obtain the coordinates of several points. New curves are then established using these coordinates and concatenated as spline curves to form a smooth, high-precision half-tooth profile. This solves the technical problem of low accuracy in existing half-tooth profile design methods during the transition between the circular arc and the involute, resulting in unsmooth curves.

This invention discloses a method for assessing the severity of transmission line resonance based on a harmonic circular arc model, relating to the field of power system technology. The method includes the following steps: single-end harmonic data acquisition, construction of a harmonic circular arc model, calculation of three major assessment indicators, risk level classification of the indicators, resonance severity rating, and resonance point location. This invention only requires single-end harmonic measurement to construct full-line harmonic constraints, eliminating the need for multi-point monitoring and complex impedance modeling, significantly reducing costs and enhancing engineering operability. The design of three major assessment indicators enables multi-dimensional quantification of resonance state, aligning with national and enterprise standards, and solving the problem of traditional methods' difficulty in accurately quantifying resonance severity. A risk matrix is ​​used to classify seven risk levels and accurately locate resonance points, overcoming the limitations of traditional methods that cannot locate them. The method integrates assessment, identification, and location, significantly improving the efficiency and accuracy of resonance assessment, and providing reliable technical support for line operation and maintenance and suppression measures.

The invention discloses a circuit breaker post-arc thermal interruption performance evaluation method, device, equipment and medium, and belongs to the technical field of breaking of high-voltage switch equipment, and the method comprises the steps: constructing a multi-physical field coupling arc model of a circuit breaker, carrying out the arc simulation, obtaining the arc current and arc voltage data before zero, and carrying out the evaluation of the post-arc thermal interruption performance of the circuit breaker; fitting by adopting a Mayr model to obtain an arc time constant theta and an arc energy dissipation coefficient Q before zero; the current values are used as parameters of a post-zero arc model, and post-arc current values under different recovery voltage rise rates are predicted to determine the critical recovery voltage rise rate; determining the actual recovery voltage rise rate of the two ends of the circuit breaker under the near-area fault condition; and comparing the actual recovery voltage rise rate with the critical recovery voltage rise rate, and evaluating the thermal interruption performance of the circuit breaker. According to the method, the breakdown risk of the breaking fault current of the circuit breaker can be evaluated, and a theoretical reference is provided for the breaking performance of a gas medium and the optimization design of the circuit breaker.

The application discloses an environmental protection mixed gas switch post-arc recovery performance evaluation method and system. The method comprises the following steps: detecting the arc voltage, arc current, gas pressure and temperature in the arc chamber generated in the breaking test, and calculating the arc conductance and its rate of change with time; substituting the arc voltage, arc current, arc conductance and its rate of change with time into an arc model to calculate the post-arc current after the arc current zero-crossing, and judging whether the post-arc thermal recovery performance meets the breaking requirement based on the post-arc current; if the breaking requirement is met, determining the net ionization coefficient of the environmental protection mixed gas based on the gas pressure and temperature in the arc chamber, and obtaining the critical discharge field strength based on the net ionization coefficient; applying the system operating voltage on the switch equipment, calculating the electric field distribution in the arc chamber, comparing the critical discharge field strength with the electric field distribution, and determining whether the post-arc electric recovery performance of the environmental protection mixed gas meets the breaking requirement.

The utility model relates to the technical field of wall decoration, and provides an arc-shaped corner waistline component and an assembly type wall surface structure, the arc-shaped corner waistline component is used for being arranged at the corner of a wall, and comprises an arc-shaped supporting part, an arc-shaped supporting part and an arc-shaped supporting part, the facing part is arranged at the front end of the arc-shaped supporting part, and the front surface of the facing part is arc-shaped; the first clamping parts are arranged on the left side and the right side of the arc-shaped supporting part, and the first clamping parts on the two sides are used for being connected to a first wall face and a second wall face which are perpendicular to the wall body correspondingly; and the second clamping parts are arranged on the upper side and the lower side of the arc-shaped supporting part and used for clamping and embedding the arc-shaped modeling plates on the upper side and the lower side correspondingly. The technical problem that in the prior art, an arc-shaped modeling plate and a stainless steel bending component are prone to falling off is solved.

The invention relates to the technical field of blister equipment, and discloses arc-shaped blister shell nosing production equipment and technology.The arc-shaped blister shell nosing production equipment comprises an equipment body, a containing table arranged on the side face of the equipment body, a sliding table arranged in the containing table, a containing plate arranged at the top of the sliding table and a sealing and pressing frame; the blister air holes are formed in the surface of the placing plate. According to the production equipment and process for the arc-shaped plastic uptake closing-up strip, the mold is arranged, the closing-up strip is attached to the outer side of the mold in the machining process, the closing-up strip is fixed and supported, the closing-up strip is prevented from being extruded and deviated in the film covering process, the situation that the closing-up strip deforms due to the pressure of a thin film can be avoided, meanwhile, the mold lifts the closing-up strip, and the production efficiency of the closing-up strip is improved. The film skin can wrap the closing-up strip to the maximum extent, the machining quality and efficiency are guaranteed, the positioning plug can play a role in positioning the mold, and the mold is prevented from deviating.

The application provides a catenary-pantograph arc modeling method for anchor section articulated electric segmentation, relates to the technical field of catenary-pantograph arc model design and optimization, and constructs an arc model based on transverse arc blowing, determines the arc length of the electric segmentation area based on the lifting height of the curved structure relative to the horizontal structure in the first contact line, and obtains the catenary-pantograph arc model for anchor section articulated electric segmentation according to the arc length and the arc model based on transverse arc blowing. When the catenary-pantograph arc model is modeled, not only the influence of transverse arc blowing is considered, but also the arc length is determined based on the lifting height of the curved structure relative to the horizontal structure in the first contact line, and the actual structure of the first contact line in the electric segmentation area is considered, which can provide a theoretical basis and simulation modeling reference for subsequent research on the arc of anchor section articulated electric segmentation, has practical significance and good application prospect for maintaining and guaranteeing the safe and stable operation of the catenary-pantograph system.

The invention discloses a nonlinear circuit simulation method considering arc time-varying inductance and capacitance effects, and relates to the field of circuit simulation. Comprising the steps of establishing a dynamic arc comprehensive equivalent model, innovatively introducing time-varying arc inductance and time-varying gap capacitance on the basis of a traditional time-varying arc resistance model, comprehensively representing dynamic physical characteristics of an arc, and dynamically coupling parameters of the time-varying inductance and the time-varying capacitance with mechanical motion characteristics of a disconnecting switch contact; controlling the reignition and extinguishing process of the arc by adopting a mixed criterion: taking a gas dielectric theory as an arc ignition criterion, and taking an energy balance theory as an arc extinguishing criterion; based on general electromagnetic simulation software, dynamic simulation of multiple breakdown processes is realized through a circuit, and time domain waveform and spectral characteristics of the VFTO are acquired and analyzed, so that more accurate prediction and analysis of the VFTO are realized, and the problem that an existing arc model is insufficient in very fast transient overvoltage simulation precision in GIS isolation switch operation is solved.

The application relates to a transformer pie winding parameterization description and modeling method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: acquiring at least one double-pie model, the acquiring step comprising the following steps: dividing a pie winding structure into a coil level, a wire pie level and a wire turn level, and acquiring three-level parameter data capable of describing the structure; constructing a wire turn curve track according to the data to acquire a wire turn curve model; constructing a wire pie model based on the wire turn curve model; constructing a wire turn arc track according to the data to acquire a first wire turn arc model for connecting two wire pie models, thereby obtaining a double-pie model; acquiring a second wire turn arc model according to the data for connecting at least one double-pie model, thereby obtaining a single-coil model; repeatedly executing the above steps to obtain at least one single-coil model; and constructing a transformer pie winding model by using the at least one single-coil model according to the data. The method can realize parameterization description and modeling of a transformer pie winding.