6988 results about "Electric arc" patented technology

A DC relay for anti-short circuit current and arc extinction includes two static contact leading-out ends, a movable contact piece in a straight sheet type, a pushing rod assembly, a fixed upper yoke, a follow-up yoke and a lower armature. The fixed upper yoke is fixed above the movable contact piece, corresponding to a position between the two movable contacts. The follow-up upper yoke is fixed on the pushing rod assembly, above the movable contact piece, corresponding to a position between the two movable contacts. The lower armature is fixed on a bottom end face of the movable contact piece. The fixed upper yoke, the follow-up upper yoke and the lower armature are respectively arranged in a width direction of the movable contact piece, and two magnetic conductive loops are formed in the width direction of the movable contact piece.

A submerged arc furnace intelligent inspection system based on cloud side-end cooperation belongs to the technical field of submerged arc furnace intelligent robot inspection, and comprises an end side device, an edge side platform, a cloud platform and a cross-layer cooperative processing module, the end side device is in communication connection with the edge side platform, and the edge side platform is in communication connection with the cloud platform; and the cross-layer cooperative processing module is used for intelligently deploying global resources of the end-side equipment, the edge-side platform and the cloud platform, predicting a future load trend by adopting a dynamic sparse LSTM model algorithm, inputting a prediction result into a security constraint PPO reinforcement learning algorithm to adaptively adjust a task and a computing power allocation proportion, and carrying out dynamic resource allocation according to an output result. According to the invention, the cross-layer cooperative processing module interacts and communicates with the cloud side, the edge side and the end side, so that a dynamic allocation strategy of resources is realized, and the problems of low resource utilization rate and poor real-time performance caused by a rigid resource allocation strategy during routing inspection are avoided.

The invention discloses a direct-current arc fault diagnosis method and device with adaptive capacity. The method comprises the following steps: 1) collecting a current alternating-current component when a current direct-current system normally works; 2) extracting time-frequency domain characteristics of a current AC component, wherein the time-frequency domain characteristics comprise a current peak-to-peak value, a standard deviation and an amplitude reconstruction harmonic power sum; 3) performing multi-time-frequency-domain feature fusion based on mahalanobis distance to obtain arc detection features; 4) calculating an arc fault judgment threshold value based on a box plot method; 5) collecting a current AC component in real time to calculate a Mahalanobis distance, comparing the Mahalanobis distance with an arc fault determination threshold, and recording an arc event; the method has the advantages that the system adaptability is high, the detection rate is high, the false alarm rate is low, and the method can be widely applied to high-voltage and low-voltage direct-current power distribution systems such as airplanes, vehicles and ships.

The invention discloses a welding robot track self-adaptive correction method based on multi-modal data fusion, and particularly relates to the technical field of industrial robots, which comprises the following steps: synchronously acquiring visual three-dimensional point cloud and arc current and voltage transient waveform data in a welding process in real time; an enhanced working trajectory feature vector fusing the visual trajectory features and the arc deviation compensation amount is constructed; respectively calculating real-time confidence coefficients of the visual sense and the arc sensing mode; inputting the confidence coefficient into a weight distribution strategy model, dynamically resolving vision and arc weight coefficients, and when the confidence coefficient of one sensor is low, lifting the weight of the other sensor to dominate correction; performing weighted fusion on the two pose adjustment amounts by using a weight coefficient to generate a six-degree-of-freedom comprehensive trajectory correction amount; and finally, the robot is driven to execute online adaptive trajectory correction. Through a confidence-driven dynamic fusion strategy, the limitation of a single sensor is overcome, and the welding robot trajectory tracking precision and the adaptive capacity are improved.

The invention belongs to the technical field of intelligent control, and particularly relates to an intelligent regulation and control method for an operating environment in an SF6 ring main unit. The method comprises the following steps: firstly, acquiring temperature, gas pressure and humidity data of a plurality of sampling points in the ring main unit, and constructing a time sequence environment data set through time synchronization and missing interpolation processing; analyzing the temperature data, extracting fluctuation characteristics, determining an environment disturbance factor in combination with an electric arc trigger intensity index, and obtaining a cabinet body temperature control safety factor in combination with a dynamically adjusted temperature rise threshold and a gas insulation state; then constructing an environment equivalent thermal inertia model and a hot-pressure covariant model based on historical data, and calculating a thermal stability index of the cabinet body; and finally, whether adjustment is triggered or not is judged according to the thermal stability index and the temperature control safety factor, if yes, a temperature abnormal area is positioned through a convolutional neural network and a clustering method, the temperature control response level is calculated, a temperature control strategy library is called to be matched with adjustment parameters, and accurate control is achieved.

The invention relates to the technical field of circuit control, in particular to a control method and system of a bidirectional charging and discharging circuit. The method comprises the following steps: collecting current monitoring data and voltage monitoring data of a bidirectional charging and discharging circuit in real time; performing arc characteristic analysis on the current monitoring data and the voltage monitoring data to obtain arc characteristic data; analyzing a high-frequency harmonic component and a current ripple fluctuation amplitude of the bidirectional charging and discharging circuit based on the arc characteristic data; performing direct-current arc detection on the bidirectional charging and discharging circuit according to the high-frequency harmonic component and the current ripple fluctuation amplitude to generate a direct-current arc fault judgment result; and calculating the instantaneous current change rate of the current monitoring data, and carrying out short-circuit detection on the bidirectional charging and discharging circuit through the instantaneous current change rate. By monitoring current and voltage data in real time, arc and short circuit characteristics are accurately analyzed, relay control is optimized, an accurate control instruction is generated, and the safety and reliability of the two-way charging and discharging circuit are improved.

The invention discloses a gradient welding strength control method and system for a welded galvanized steel pipe for fire fighting, particularly relates to the technical field of welding automation control, and aims to solve the problem of abnormal welding seam strength gradient caused by instantaneous unbalance of an electric field and a thermal field during dynamic parameter switching in the prior art. Electromagnetic distortion characteristic quantity is extracted through frequency domain energy analysis, and thermodynamic offset state quantity is deduced in combination with a thermal diffusion trend; on the basis of frequency band correlation mapping of electromagnetic and thermodynamic parameters, thermoelectric cooperative imbalance levels are divided through mutual information entropy evolution, and a self-adaptive harmonic attenuation weight tuning instruction is generated; analyzing a mismatching relation between transient disturbance of an environment magnetic field and arc voltage modulation distortion in real time, dynamically generating a magnetic field compensation factor and reversely superposing the magnetic field compensation factor to a control instruction; and in combination with the matching degree of molten pool oscillation energy and a harmonic frequency spectrum, correcting wire feeding rate calibration, reconstructing a multi-band harmonic energy proportion spectrum, outputting an anti-interference welding control signal, and realizing dynamic balance between arc stability and molten pool heat input.

The invention is suitable for the technical field of performance detection, and provides a method for detecting the ablation resistance of a burning-resistant nozzle and an arc contact, and the method comprises the steps: collecting a temperature field matrix, an arc image sequence, an electrical parameter time sequence and a surface displacement curve of an ablation region, and generating a multi-modal data set; based on the data set, extracting spatial features of the ablation core region through a cavity convolution layer and a channel attention mechanism; inputting a preset bidirectional LSTM network, fusing thermal stress data of the COMSOL simulation model to drive gating weight update, and extracting time sequence evolution characteristics; generating a space-time fusion feature vector containing the temperature field gradient, the arc form change rate and the surface roughness evolution feature; inputting the space-time fusion feature vector, the thermal stress distribution data and the material phase change threshold parameter into a constructed ablation prediction model for training; the ablation prediction model after training is completed is optimized; and a performance prediction result is generated in real time by using the optimized ablation prediction model, so that the detection accuracy is effectively improved.

The invention provides a self-adaptive teaching-free welding robot intelligent gas saving monitoring system, which relates to the technical field of industrial robots, and comprises a three-dimensional sensing module used for identifying the workpiece material category through a multispectral sensor integrated with a welding gun of a welding robot, meanwhile, a stereoscopic vision camera and a line structure light scanning camera are used for obtaining three-dimensional point cloud data of the welding seam in real time; the parameter adjusting module is used for calling a heat conductivity coefficient database based on the three-dimensional point cloud data, and correcting the initial flow of the welding current, the arc voltage and the protective gas in real time; and the matching control module is used for calculating the arc length variable quantity based on the arc voltage, controlling the opening degree of the gas flow valve through a dynamic regulator, realizing dynamic matching of the gas flow and the changed arc length, and generating gas dynamic matching control parameters. Through cooperative operation of self-adaptive attitude compensation and real-time gas consumption monitoring, teaching-free accurate operation in the welding process is achieved, and intelligent control over gas consumption is improved.

The invention discloses a 3D printing path planning method based on electric arc additive anisotropy and a stress field, and the method comprises the steps: constructing a CAD three-dimensional model of a part, and obtaining the stress field of the part through finite element simulation; determining a slice plane; mapping the stress field to a slice plane to form a force flow line; according to the obtained force flow line, rotation transformation regeneration is carried out according to the anisotropy of the used electric arc additive, and a reference trajectory considering the anisotropy of the material is obtained; under the principle of alternate arc starting and extinguishing, the corresponding printing sequence in the layers and between the layers is further planned, and the reference trajectory lines are connected end to end to be planned into a continuous path; and generating a code file, and printing according to the printing sequence. The comprehensive mechanical property of a printed piece is improved.

The invention relates to the technical field of intelligent fire fighting, in particular to a building electrical fire identification method and system based on multi-source information fusion, and the method comprises the steps: firstly collecting the multi-source monitoring data of an electrical system in real time, then carrying out the preprocessing of the multi-source data, including noise filtering, time alignment and feature extraction, and constructing a dynamic weight fusion model; the weight of each data source is adaptively allocated based on the feature entropy, then fusion features are input to the fire risk grading model, a fire probability index and an early warning level are output, and when the early warning level exceeds a threshold value, a linkage control instruction is triggered and an alarm is given; according to the method, through dynamic fusion of multi-source information, the electrical fire identification precision is remarkably improved, multi-dimensional parameters such as current, temperature, smoke and arc are adaptively integrated by adopting an entropy weight assignment mechanism, the problems of false alarm and missing alarm of traditional single-threshold detection are solved, the missing alarm rate and the false alarm rate are remarkably reduced, and the reliability of fire early warning is ensured.

The invention discloses an intelligent response method for an arc fault of a high-altitude switch cabinet, relates to the technical field of safety protection of power equipment in a high-altitude area, and aims to solve the problems that the arc time of the arc fault is prolonged, the pressure in the cabinet is sharply increased, a traditional disposable pressure relief device cannot be reset and is lack of insulation state evaluation, and the reliability is poor. The invention aims to provide a response method which combines optical signal and pressure double-criterion detection, resettable pressure relief, gas component analysis and intelligent decision so as to improve the safety and reliability of the switch cabinet.

A method protects against fault arcs in an electric power distribution system in which electric power from an electric feed point is distributed via a common superordinate main distribution line and from the common main distribution line via multiple subordinate output lines. The main distribution line can be interrupted by a main switch, and each of the output lines can be interrupted by a paired output switch. A fault arc current threshold which, when exceeded by a fault arc current of a fault arc, is a precondition for triggering the main switch is matched to the maximum forward current and / or the output trigger duration of the output switches such that a fault arc is quenched selectively either by one of the output switches or by the main switch before the energy released by the fault arc exceeds a specified energy threshold.

The invention features a replaceable cartridge for a plasma arc torch. The cartridge includes a cartridge body having a first section and a second section. The first and second sections are joined at an interface to form a substantially hollow chamber. The interface provides a coupling force that secures the first and second sections together. The cartridge also includes an arc constricting member located in the second section; an electrode included within the substantially hollow chamber; and a contact start spring element affixed to the electrode. The spring element imparts a separating force that biases the electrode toward at least one of the first section or the second section of the body. The separating force has a magnitude that is less than a magnitude of the coupling force.

The invention relates to a relay and an electric meter. The relay comprises a contact system, wherein the contact system comprises a movable contact unit and a static contact unit; a pushing system; the connecting structure is connected with the pushing system and the moving contact unit, and the connecting position of the connecting structure and the pushing system is located on the side, away from the static contact unit, of the moving contact unit. According to the application, the pushing system is connected with the moving contact unit through the connecting structure, and the connecting position of the connecting structure and the pushing system is located on the side, away from the static contact unit, of the moving contact unit, so that when the moving contact and the static contact are closed to generate an arc, the moving contact unit can block the arc to prevent ablation of the pushing system; and the overall reliability and service life of the relay are effectively improved.

The invention provides an arc discharge detection method and device for a photovoltaic inverter and electronic equipment, and the method comprises the steps: collecting sample current data corresponding to the photovoltaic inverter, and classifying and marking the sample current data as arc data and arc-free data; taking the sample current data as a data sample, taking the arc data and the arc-free data as sample labels corresponding to the data sample, and training a preset neural network model; converting the trained neural network model into an algorithm program, deploying the algorithm program to a preset micro-control unit, inputting real-time current data collected by the micro-control unit into the neural network model, and determining a data type to which the real-time current data belongs; and when the data type is the electric arc data, determining that the photovoltaic inverter has a direct current arc discharge phenomenon. And low-cost and high-precision intelligent arc discharge detection can be realized.

The invention discloses an electric power engineering defect diagnosis method based on AI image recognition and a block chain technology, and relates to the technical field of electric power engineering defect diagnosis, and the method comprises the following steps: setting the initial flight rate of an unmanned plane according to the monitoring demands and field conditions of an electric power line, it is ensured that the unmanned aerial vehicle can cover all key areas of the power line in the inspection process, and meanwhile the inspection efficiency is kept. According to the invention, by intelligently adjusting the flight rate of the unmanned aerial vehicle, the unmanned aerial vehicle can stay in a potential abnormal area for a longer time, and detailed acquisition of temperature data is ensured, so that tiny temperature changes, especially tiny temperature anomalies caused by electric arcs and electrical overload, can be captured more accurately. According to the intelligent adjusting mechanism, in the inspection process, the inspection efficiency of the whole process can be guaranteed, accurate monitoring of the key area can be guaranteed, and the risk of detail loss or temperature anomaly missing detection caused by the too high flight speed is reduced.

The invention discloses a multi-flame powder combustion eruption device. The multi-flame powder combustion eruption device is characterized in that a quantitative blanking powder bin is communicated with an eruption pipe through a pneumatic pipeline; the spraying pipe is provided with a spraying guide cavity, the plasma generator discharges gas in the spraying guide cavity to form a plasma arc area, and the plasma arc area and the cavity wall of the spraying guide cavity have a distance which enables the plasma arc area and the cavity wall of the spraying guide cavity not to make contact. The plasma arc region is a free arc region or a compressed arc region; powder in the powder bin is quantitatively discharged into the pneumatic pipeline, the pneumatic pipeline conveys the powder into the eruption guide cavity, and airflow drives the powder to pass through the plasma arc area and then is sprayed out of an eruption opening of the eruption guide cavity. The plasma generator controls the working temperature of the plasma arc area according to the material and particle size of the powder. And the firework effect of various flame colors can be displayed. The energy loss is effectively reduced, the heating speed is high, the temperature uniformity is good, and the energy consumption is low; the device has the advantages of simple structure, safety and reliability.

The invention discloses an electric arc additive manufacturing temperature field and stress field real-time reconstruction method, which comprises the following steps of: 1, constructing a sequential coupling finite element model in which heat conduction analysis and thermoelastic-plastic mechanical analysis are combined on the basis of process parameters of an electric arc additive manufacturing process and three-dimensional geometry of parts, generating a multi-physical field coupling data set among heat flux density, temperature and stress; step 2, constructing and training a neural network model based on a multi-physics field coupling data set, and realizing mapping from heat flux density to temperature and stress; 3, dynamically optimizing heat source model parameters in combination with real-time monitoring data and process parameters in the electric arc additive manufacturing process; and 4, based on the optimized heat source model parameters and the trained neural network model, real-time reconstruction of a temperature field and a stress field in the electric arc additive manufacturing process is achieved. According to the invention, the requirements of rapid sensing and intelligent regulation and control of temperature and stress states on an additive manufacturing site are met.

The invention provides a water turbine runner crack electric arc additive repairing track planning method based on an irregular model, and relates to the technical field of hydroelectric power generation equipment crack repairing. The method comprises the steps that crack defects are removed through carbon arc air gouging, and a model of a blade area to be repaired is established; based on a reverse reconstruction technology and a Boolean operation technology, generating a three-dimensional grid model of the irregular repair area; a mixed trajectory planning strategy is optimized, and the repairing area is sliced to generate an electric arc additive repairing trajectory; and welding gun posture optimization based on collision detection is carried out, and the contour track is adjusted according to a given rule. A geometric model of a to-be-repaired area of a blade is established, and a three-dimensional grid model of an irregular repaired area is quickly and accurately established based on a reverse reconstruction technology and Boolean operation.

The invention discloses a new energy medium-voltage switch intelligent control method based on multi-data interaction, and particularly relates to the field of switch intelligent control. According to the method, electrical, mechanical and temperature multi-dimensional operation data are collected in real time through a multi-source sensor, fault diagnosis is performed by adopting a hybrid reasoning architecture, features are extracted in combination with Hilbert-Huang transform and Mel cepstrum coefficient algorithms, and a three-level reasoning mechanism is constructed to realize accurate classification; based on a diagnosis result, a system dynamically optimizes a control strategy, the control strategy optimizes a switch-on and switch-off time sequence based on phase-space reconstruction and LSTM prediction, plasma impedance closed-loop adjustment and a quantum genetic algorithm are combined to realize arc suppression and mechanical compensation, and a six-dimensional compensation vector is introduced to correct mechanical operation deviation; the self-learning unit is based on a depth deterministic strategy gradient and an online knowledge distillation technology, verifies the validity of parameter update by using digital twin simulation, and forms a fault feature-control strategy-maintenance scheme triple knowledge base.

The invention discloses an arc risk situation awareness prediction method and system based on multi-characteristic dynamic mapping, and belongs to the technical field of electrical fault detection.The method comprises the steps that arc characteristics are extracted according to a current waveform of an electric power system, and the arc generation position is determined by combining the propagation rule of the arc characteristics; predicting the development trend of the arc form image and the energy signal according to the arc form image and the energy signal of the current waveform; according to the development trend of the arc characteristics, taking the arc as a heat source, reflecting the contact area of the arc and air by the arc form image, and combining with the heat transfer rule of the arc to obtain the temperature field distribution of the arc; and according to the arc generation position and the temperature field distribution, in combination with the distance perception between the ignition point of the evaluation object and the arc boundary, predicting the arc risk on the installation line of the evaluation object, and making corresponding emergency prevention measures according to the risk evaluation result. And accurate prediction, reliable identification and rapid cutting-off of the fault arc are realized.

The invention discloses a direct-current hollow electrode hydrogen plasma furnace mineral powder smelting system and method and application, and belongs to the technical field of hydrogen metallurgy. The system comprises a hollow electrode gas powder injection hydrogen plasma gun system, a direct current bottom electrode ore-smelting electric furnace system, a fine ore and hydrogen supply system and the like. The hollow electrode and the furnace bottom electrode form a direct-current arc, hydrogen carrying mineral powder is sprayed into an arc area to generate high-temperature hydrogen plasma, mineral powder reduction is achieved, and metal and slag are separated. According to the method, hydrogen serves as a reducing agent, carbon emission is reduced, the reaction efficiency is high, energy consumption is low, and the method can be used for steelmaking, smelting of micro-carbon ferromanganese and titanium slag and recovery of valuable metal in nonferrous smelting waste slag and has good green metallurgy application prospects.

The invention belongs to the technical field of computer-aided manufacturing, and relates to a method and system for predicting the propagation rate of fatigue cracks across welding zones in electric arc additive remanufacturing, and the method comprises the following steps: S1, manufacturing a sample; s2, performing in-situ SEM fatigue test on the sample; s3, obtaining a corresponding relation between the crack growth rate and the stress intensity factor range of the sample; s4, fitting to obtain a fatigue crack propagation rate model of the sample; s5, establishing a CZH sample fatigue crack growth rate prediction model; and S6, predicting the fatigue crack propagation rate of the sample across the welding zone. The system further comprises an electric hydraulic fatigue test system, a data acquisition module, a database, a fitting module and a prediction module. According to the method, by using the correction coefficient, the fatigue crack growth rate is predicted by using the fatigue crack growth rate parameter of the matrix material area.

The invention relates to a real-time control method for a transverse wire filling position of a wire filling GTAW based on visual sensing. A visual sensor is used for collecting images of welding arcs in the welding process in real time; detecting the transverse position of the welding wire in the electric arc in real time by using a method for calculating the transverse distance between the welding wire axis and the electric arc axis; the welding wire transverse adjusting mechanism is used for adjusting the transverse position of the welding wire in real time; and controlling the transverse position of the welding wire by utilizing a welding wire transverse automatic adjusting method to keep the axis of the welding wire intersected with the arc axis all the time. According to the method, the transverse position of the filling wire is accurately recognized and regulated successfully in the GTAW process of the filling wire, and the welding efficiency and quality are further improved.

The invention relates to the technical field of welding parameter correction, and provides a welding parameter correction method for real-time molten pool morphology feedback, which comprises the following steps of: capturing a molten pool image, an arc spectrum and an infrared radiation signal in real time, accurately extracting geometrical characteristics and contour vibration frequency of a molten pool, and dynamically evaluating arc stability and a thermal attenuation state. And when defects are detected, welding parameter correction is generated based on a process knowledge graph and Bayesian reasoning, collaborative correction of parameters such as welding current, welding voltage and welding speed is achieved through reinforcement learning optimization weight distribution, and the change trend of morphology characteristics of a molten pool is continuously monitored after correction. According to the method, the depth belief network is judged and optimized by combining the descending rate of the morphology defect probability, and the corrected successful case is supplemented to the process knowledge graph, so that the welding quality stability is remarkably improved, the method is particularly suitable for automatic production of a high-precision welding scene, the defect rate can be effectively reduced, and the production efficiency can be effectively improved.

The invention discloses an arc fault detection method and device based on voltage time difference variation, and belongs to the technical field of low-voltage power distribution network fault protection, and the method comprises the steps: enabling an arc fault point to be equivalent to an arc voltage source, and employing an arc voltage change rate and an arc voltage effective value, establishing detection feature description of a fault waveform generated by the arc voltage source, wherein the fault waveform presents a square-wave-like waveform; sampling adjacent cyclic wave voltages of a load side monitoring point, performing feature identification on the tail end voltage difference between adjacent cyclic waves based on detection features, and identifying a first fault waveform; and after the first fault waveform occurs, performing continuous identification counting on the arc faults, realizing identification of the continuous arc faults by using the difference between the non-fault waveform before the fault occurs and the waveform to be identified, and confirming the occurrence of the arc faults. The detection method is good in reliability, clear in physical significance, high in detection sensitivity, not affected by line parameters, capable of achieving detection only through a single monitoring point and lower in cost.

The invention relates to a WE54 magnesium alloy CMT electric arc additive manufacturing process method, and belongs to the technical field of metal additive manufacturing. The method comprises the steps that 1, a CMT welding gun 1 is fixed to the front end of an automatic robot, printing parameters are set in 3DCAM software, a printing sample block is sliced through the 3DCAM software, and a printing path is planned; 2, surface oxides and impurities of a WE54 magnesium alloy substrate 12 are removed, the WE54 magnesium alloy substrate 12 is fixed to a working table top, the center and coordinate system of the WE54 magnesium alloy substrate 12 are determined through a welding wire 2 in a CMT welding gun 1, preheating treatment is conducted on the WE54 magnesium alloy substrate 12 through induction heating equipment, and the temperature is increased to 200 DEG C; and 3, a first cladding layer 10 is printed on the WE54 magnesium alloy substrate 12 through an electric arc 3 below the CMT welding gun 1, the surface is cleaned after printing is completed, and reciprocating printing of four-layer path planning is conducted in a reciprocating mode till a final printing sample block is formed. By means of the method, WE54 magnesium alloy CMT electric arc additive manufacturing is achieved, and the additive efficiency is effectively improved.

The invention belongs to the field of electrical electronics and advanced non-ferrous metal additive manufacturing, and particularly relates to a preparation method of a laser additive manufacturing copper alloy-tungsten copper composite electrical contact, which comprises the following steps of: preparing a nickel or nickel alloy coating on a copper alloy base material by adopting coaxial powder feeding laser cladding to serve as a middle layer, and then preparing a tungsten copper coating by laser cladding to obtain the copper alloy-tungsten copper composite electrical contact. The composite electrical contact is composed of a pure copper or copper alloy base material layer, a pure nickel or nickel alloy coating and a tungsten copper coating in sequence. The electrical contact obtained by the invention has relatively high electrical conductivity and thermal conductivity, and also has good arc ablation resistance; the copper alloy-tungsten copper electrical contact is prepared by adopting the laser cladding technology, so that the production cost can be effectively reduced, the production efficiency is improved, meanwhile, later maintenance and repair are facilitated, and the method is green and environment-friendly.

The invention relates to the technical field of fire control, in particular to an electrical fire control method and system based on multiple sensors, and the method comprises the steps: obtaining related data of electrical fire influence factors, and carrying out the preprocessing; extracting a current peak value by using an AMPD peak value detection algorithm according to the preprocessed current data, and constructing an arc fault strength index; combining the arc fault strength index and temperature data, analyzing the relationship between arc fault abnormal heat release and temperature change, constructing an electrical heat dissipation goodness, integrating the electrical heat dissipation goodness and the change rule of carbon monoxide and carbon dioxide concentration, constructing a fire risk index, and quantifying the risk degree of electrical fire occurrence; and correcting the SOS anomaly detection algorithm based on the fire risk index to obtain a corrected significant anomaly score, and preventing and controlling the electrical fire according to the significant anomaly score. According to the invention, the fire risk index is constructed in combination with various sensor data, and the electrical fire early warning accuracy and prevention and control efficiency are improved.