544results about "Voltage-current phase angle" patented technology

At least one example embodiment provides a system for controlling a heater in a non-combustible aerosol-generating device, the system comprising a memory storing computer-readable instructions and a controller configured to execute the computer-readable instructions to cause the non-combustible aerosol-generating device to apply a first power to the heater based on a first preheat temperature determine an estimated energy applied to the heater during application of the first power, and apply a second power to the heater based on the estimated energy, an energy threshold and a second preheat temperature, the second power being less than the first power.

The invention relates to a time-varying power high-precision calculation technology of an electric drive system under strong electromagnetic noise interference, and mainly solves the problem of inaccurate power calculation of the electric drive system under strong electromagnetic environment noise and frequency time-varying fluctuation scenes. According to the core technology, a dominant frequency fluctuation curve of a signal is obtained through dynamic tracking of a dominant frequency, and a dynamic band-pass filter changing along with the dominant frequency of the electric drive system is constructed; suppressing pulse noise by combining amplitude self-adaptive filtering of a nonlinear weighting function; a phase demodulation technology fusing zero crossing point correction and Hilbert transform is adopted to eliminate the phase interference problem caused by complex waveforms and weak noise signals; and finally, establishing a time-varying power physical model based on the sliding window. According to the technology, the power calculation accuracy of the electric driving system under the conditions of strong field environmental noise and continuous main frequency conversion is remarkably improved.

The invention belongs to the technical field of power system measurement, and relates to a three-phase power parameter wireless synchronous measurement and vector analysis method and system, and the method comprises the following steps: generating and broadcasting a synchronous pulse code containing triggering phase information; generating a predicted phase angle; obtaining a comprehensive phase deviation value; performing dynamic feature separation processing on the comprehensive phase deviation value to generate a slowly-varying propagation delay feature and a transient prediction error feature; injecting the prediction error characteristics into a local phase predictor for calibration; acquiring phase voltage / current data based on the compensated sampling time, and calculating a fundamental wave effective value and a phase angle relative to a local calibration time reference; and packaging the fundamental wave effective value, the phase angle and the local timestamp into a simplified data packet and transmitting the simplified data packet to an analysis terminal. According to the method, the problems that in a traditional mode, satellite time service rejects signals in a substation indoor or underground scene, and synchronization interruption is easily caused by electromagnetic interference are solved.

The invention relates to the technical field of fault testing, in particular to a dry-type air-core reactor turn-to-turn short circuit monitoring method based on a magnetic field difference method. According to the method, regularization constraint is introduced in an initial baseline stage to construct a reference electromagnetic coupling matrix, a heat accumulation index is recursively analyzed based on three-phase current energy, a thermally-induced magnetic field drift model is fitted in combination with magnetic field residual errors, and combined with combined constraint of the reference electromagnetic coupling matrix and the thermal drift model, a three-phase electromagnetic coupling model is established. The normal thermally induced magnetic field drift component is dynamically stripped in real-time monitoring; and under the constraint of a reference electromagnetic coupling matrix, fitting and optimizing a current vector through weighted least square state estimation, and integrating magnetic field and current two-dimensional deviation to obtain a structure consistency deviation index for fault monitoring. According to the invention, monitoring is carried out in consideration of a linear electromagnetic transfer rule and nonlinear thermal drift compensation, a complex magnetic field environment and a variable load operation condition of the dry-type air-core reactor are adapted, and continuous and reliable monitoring guarantee is provided for long-term stable operation of equipment.

The invention discloses a power frequency phase adaptive acquisition device, and relates to the technical field of electric power signal measurement, the device acquires electric field data at a gap through an electric field sensor integrated on an edge shell, calculates electric field intensity fluctuation, and generates interference diagnosis information in combination with a preset interference determination threshold value; when the interference diagnosis information shows that effective interference exists, the electric field intensity variable quantity is calculated, a mapping model is established based on a proportionality coefficient obtained through an experiment so as to obtain zero crossing point offset, and the sampling trigger moment of a zero crossing point detection module is corrected; the clock synchronization module calculates a phase difference by taking the corrected trigger moment as a reference, dynamically adjusts a calibration frequency by combining a phase difference threshold value, and outputs a synchronized system clock signal; and the control system takes the synchronized system clock signal as a trigger signal, collects power frequency phase data according to a power frequency period, and stores the power frequency phase data to a database through a transmission unit, thereby realizing high-precision power frequency phase collection.

The invention discloses an electricity stealing behavior detection method and system based on an intelligent electric energy meter, and the method comprises the following steps: constructing a phase locking reference frame at the end of the intelligent electric energy meter, synchronously collecting a voltage phase and a current phase through high-precision time, generating a direction discrimination baseline, setting a zero-power crossing point and a direction overturning threshold value, and carrying out the detection of an electricity stealing behavior. Outputting a direction baseline consistency index as a direction identification reference; according to the invention, through phase locking, high-precision synchronization, neutral line drift analysis, multi-table data alignment and phase disturbance verification, accurate identification and causal confirmation of a current backward flow behavior are realized, a disturbance user is reversely positioned in combination with a disturbance fingerprint, an intervention instruction is output, and an identification-verification-positioning-control closed loop mechanism is constructed. And the anti-electricity-stealing capability and the metering accuracy of the intelligent electric energy meter in a complex power supply environment are obviously improved.

The invention relates to the technical field of power distribution network fault early warning, and discloses an early warning system and method for a power distribution network ground fault. The data acquisition module of the system acquires multi-mode monitoring data such as zero-sequence current waveform, grounding wire current amplitude phase, insulator leakage current and environment temperature and humidity of the power distribution network in real time, and comprehensively reflects the operation state of the power distribution network. And the feature fusion module performs spatial-temporal feature compensation on the multi-modal monitoring data to generate a fault feature tensor, so that the insulation degradation evolution period of the topological node of the power distribution network is determined, and the insulation state change is accurately evaluated. And the risk deduction module analyzes a dynamic communication path of the topological structure of the power distribution network, performs fault conduction modeling, determines a ground fault risk situation level in combination with multi-modal monitoring data, and comprehensively considers fault conduction characteristics and operation conditions. The early warning decision module generates a dynamic early warning strategy according to the insulation degradation evolution period and the risk situation level, and the early warning mode is flexibly adjusted.

This invention relates to a system and method for calibrating energy meters, designed to enhance the accuracy of electrical power measurements. The system incorporates a computing device with specialized calibration software, interfaced with multiple energy meters via a network switch. Each energy meter is equipped with a CPU and DSP, facilitating precise phase angle measurements. A configurable three-phase reference source, connected via power cables, supplies standard calibration signals to the meters. The DSP measures phase angles based on calibration commands triggered by control signals received by the CPU. These measurements are then transmitted to the computing device, which calculates necessary offset corrections. The corrections are subsequently communicated back to the CPU for adjustment of the energy meters' analog-to-digital converter settings, thereby ensuring the meters' outputs are accurately aligned with calibrated standards. This system provides a robust framework for reliable, high-precision energy meter calibration.

The invention relates to the technical field of electric power measurement online monitoring. The invention discloses a CVT error calculation method and device based on a virtual standard algorithm and a storage medium, and the method comprises the steps: collecting the voltage original waveform data of a plurality of CVTs in a homologous state in real time, and calculating the amplitude and phase of the data; constructing a steady-state data set; calculating an initial virtual standard; calculating an initial voltage ratio difference value and an initial voltage angle difference value; inverting a real-time virtual standard; calculating an overall virtual standard; calculating an instantaneous voltage ratio difference value and an instantaneous voltage angle difference value; and outputting a CVT state judgment result. According to the method, the accuracy of CVT error calculation is effectively improved, the state of the mutual inductor can be more accurately judged, and a powerful guarantee is provided for stable operation of a power system.

The present invention relates to a hair removal device, such as an electric shaver or epilator, comprising a hair cutting unit, a motor for driving the hair cutting unit, a measurement unit for measuring motor current and / or induced voltage and a cutting activity determinator for determining cutting activity from the half cycles of the signal of said measurement unit, wherein a wear determination unit is provided for determining wear of the hair cutting unit from the cutting activity signal of said cutting activity determinator.

The invention provides a three-phase alternating current phase angle measuring device and method, and belongs to the technical field of phase angle measurement. The three-phase alternating current phase angle measuring device comprises a main control chip and two metering chips. The main control chip has a fundamental wave zero-crossing function, the main control chip collects a phase angle A based on a fundamental wave zero-crossing interruption function and linear interpolation, the precision of the phase angle A is high, harmonic interference can be effectively avoided, the two metering chips collect a phase angle B and a phase angle C respectively, a single-phase chip and related peripheral circuits are reduced, the price is lower, and the cost is lower. The cost advantage is obvious.

The invention discloses a high-power and frequency-adjustable gyrotron loading test system for nuclear fusion, which relates to the technical field of nuclear fusion and comprises a 2-megawatt coaxial gyrotron with adjustable frequency of 170 / 240GHz and a loading test platform. The loading test platform comprises a gyrotron part loading system, a strong magnet system, a vacuumizing system, a power supply system, a load system, a cooling system, a monitoring and diagnosing system and a control system. The component loading system is used for precise assembly; the strong magnet system provides an adjustable strong magnetic field; the vacuumizing system maintains ultrahigh vacuum; the power supply system comprises a cathode power supply and a body power supply, and the body power supply is used as a high-voltage amplifier to realize 10kHz rapid power modulation; the cooling system provides independent active cooling; the load system simulates a real load; comprehensive detection of the monitoring and diagnosis system; and the control system realizes coordinated control and rapid protection. According to the invention, a complete solution is provided for development, test, operation and maintenance of the 2-megawatt-level and frequency-adjustable gyrotron.

The invention discloses a power grid power flow real-time calculation and state estimation method and system based on a PMU, and belongs to the technical field of electric measurement and electric fault positioning. The method comprises the following steps: synchronously measuring electrical variables, including a voltage phasor and a current phasor, of a power grid node through PMU equipment to obtain synchronous phasor data, and verifying time and topology consistency; the power grid observability grade is judged based on PMU configuration node distribution corresponding to the verified electric measurement data; directly generating a real-time state estimation result through linear calculation based on PMU electric measurement data if the whole domain is observable; and if a part is observable, fusing PMU and SCADA data, carrying out nonlinear state estimation through a weighted least square method, distributing a high weight for the PMU electrical measurement data, and dynamically adjusting the SCADA weight to suppress bad data. According to the method, through observability adaptive judgment, the precision and efficiency of state estimation are improved, a data basis is provided for power grid fault positioning, and the method is suitable for practical application scenes of various PMU coverage degrees.

The invention discloses an electric power system transient stability rapid response control method and system, and relates to the technical field of electric power systems, and the method comprises the steps: collecting a transient harmonic current signal generated by a power grid fault in real time through a harmonic detection unit connected to a DC bus of an energy storage converter, and calculating the phase offset of the transient harmonic current signal; generating a power control instruction through a pre-configured hardware mapping circuit based on the phase offset; acquiring a current differential signal by using a power grid line current sensor, and identifying a path of transient energy flowing to a key unit based on a power grid topological structure; for the path, dynamically forming a virtual high-impedance wall on the target line; and on a consumption path predefined according to the power grid topological structure, controlling the energy storage converter to operate in a current source mode and configuring a reverse power characteristic so as to absorb the energy flow turned by the virtual high-impedance wall.

The invention discloses a frequency sweep measurement method and system. The method comprises the following steps: acquiring a fundamental frequency reference phase of each measured equipment access point at a measurement moment; executing rough scanning of the first-stage injection; analyzing the coarse scanning response data to identify a target frequency band which needs to be subjected to second preset resolution measurement; executing fine scanning of second-stage injection for the target frequency band; and analyzing the fine scanning response data, and obtaining a stability contribution evaluation result of each tested device to the power grid system based on an analysis result of the fine scanning response data and an analysis result of the coarse scanning response data. According to the scheme of the invention, the method can achieve the quick recognition of the potential key frequency region in a broadband range through the hierarchical rough scanning and fine scanning strategies, and avoids the time-consuming high-resolution measurement in a whole frequency band. And then, high-resolution fine scanning is performed on the identified target frequency bands in a targeted manner, so that accurate and detailed response data can be obtained in the key region.

Disclosed are a system and a method for a high-speed performance measurement. The system includes: a fixing part; a positioner for controlling the rotation of the equipment by controlling the fixing part; a measurement probe; a curved reflective plate for reflecting, in the direction of the measurement probe, an electromagnetic wave radiated by the equipment and transforming the spherical wave of the measurement probe into a plane wave at the position where the equipment is provided; an arc structure including an arc arranged to be adjacent to the fixing part; a probe set including near-filed probes arranged to be spaced predetermined intervals apart from each other on the inner side of the arc; and a control unit, which receives, through a signal analyzer, signal data corresponding to an input signal from some of near-filed probes and the measurement probe.

The invention discloses a radio frequency chip phase deviation calibration method based on multichannel sampling data analysis, and relates to the technical field of radio frequency signal processing and multichannel data synchronous calibration. Processing the sampling sequence of each channel by adopting a phase estimation algorithm to calculate a phase value to obtain initial phase distribution; according to the initial phase distribution, if the number of detection channels is increased or decreased, the reference phase is recalculated by fusing the time sequence relation adjustment information to obtain an updated reference phase; acquiring an updated reference phase, and extracting a reference signal from the residual channels and compensating a missing part through an adaptive filtering algorithm to obtain compensated phase distribution if a failure channel signal is lost according to partial channel failure judgment; the radio frequency chip phase deviation calibration method based on multichannel sampling data analysis has long-term self-calibration and self-adaption capabilities, and the robustness, reliability and signal processing precision of a system are remarkably improved.

The invention belongs to the technical field of magnetic variable measurement, and particularly relates to a power driving compensation method and system for magnetostrictive load characteristic monitoring, and the method comprises the steps: obtaining a reference zero point of magnetic performance evolution in a cold state environment of an electromagnetic system according to the center frequency of the electromagnetic system; calculating a current main frequency impedance module value and a phase difference through an electrical parameter characterization method, and obtaining a thermal drift index reflecting a hysteresis loop distortion degree in combination with a reference zero point; obtaining correction factors of all orders based on the thermal drift index and the average output power at the current moment, and dynamically updating a coefficient vector of the inverse model; and constructing a pre-distortion driving voltage signal capable of counteracting nonlinear interference by using the new coefficient and the ideal guided wave voltage sequence, and inputting the pre-distortion driving voltage signal to a power amplifier to drive the magnetostrictive transducer. According to the invention, the problem of predistortion failure under a variable-temperature working condition in the prior art is solved, and the signal-to-noise ratio of high-power long-distance guided wave detection is remarkably improved.

The invention provides a method, device, apparatus, and storage medium for determining the overload boundary of MMC, which belongs to the field of DC transmission technology. The overload operation boundary of the MMC may be accurately determined, which is helpful to set the load level of the MMC reasonably in the design and operation process to ensure safe and efficient operation.

The invention provides a metering box electricity larceny detection method, system, equipment and medium under carrier communication, and relates to the field of metering box electricity larceny prevention, and the method comprises the following steps: collecting the three-phase current ICCO, voltage UCCO and freezing electric quantity QCCO of a split-phase protection intelligent circuit breaker, and the current Ij, voltage Uj and freezing electric quantity Qj of an electric energy meter in real time; calculating a correlation coefficient and an average distance between the voltage sequence {Uj} of the electric energy meter and the three-phase voltage sequence {UA, UB, UC} of the circuit breaker, and determining a connection phase of each electric energy meter; the deviation value delta I of the sum of the current ICCO of the circuit breaker and the current Ij of the connected electric energy meter under the same phase is calculated, a line loss model is constructed by combining the freezing electric quantity Qj and the QCCO, and the line loss rate p is solved; and performing three-level electricity stealing judgment, positioning an electricity stealing point and generating an electricity stealing probability Ptheft. Through multi-source data fusion, edge-side autonomous efficient electricity stealing closed-loop judgment and split-phase protection and electricity stealing prevention collaborative optimization, the accuracy of electricity stealing identification and the reliability of power supply are remarkably improved.

The invention discloses a power distribution network reliability intelligent analysis method and analysis system, particularly relates to the technical field of power system fault detection, and is used for solving the problems of misjudgment and missed judgment caused by fault feature weakening and harmonic interference in a bidirectional power flow scene in an existing method. The method comprises the following steps: firstly, synchronously collecting fundamental wave and harmonic components of nodes of a power distribution network, extracting a current amplitude change rate and a phase offset by adopting time-frequency domain conjoint analysis, and generating dynamic distribution characteristics by combining harmonic energy clustering; identifying high-frequency interference components in a bidirectional power flow mode by quantizing a phase deviation direction and harmonic energy aggregation characteristics; based on a harmonic frequency band coupling effect and a current dynamic association relationship, an adaptive detection threshold function is constructed, and accurate separation of fault features is realized; and finally, combining a real-time fault judgment result with historical repair data to generate a reliability evaluation parameter. And the sensitivity of fault detection and the rationality of reliability evaluation in a complex operation environment are remarkably improved.

The invention discloses a dry-type air-core reactor loss measurement method, device and system, and relates to the technical field of reactor loss factor measurement. The method comprises the following steps: in response to an obtained electrical parameter signal of the dry-type air-core reactor, performing Fourier transform on a voltage signal in the electrical parameter signal, and determining the fundamental wave purity of the dry-type air-core reactor; the electrical parameter signal comprises a voltage signal and a current signal, the voltage signal comprises a voltage amplitude and a voltage phase, and the current signal comprises a current amplitude and a current phase; based on the current amplitude and the phase difference between the voltage phase and the current phase, determining a harmonic judgment value of the dry-type air-core reactor; determining a defect correction coefficient of the dry-type air-core reactor based on the phase difference between the voltage phase and the current phase; and determining the loss factor of the dry-type air-core reactor based on the fundamental wave purity, the harmonic judgment value and the defect correction coefficient of the dry-type air-core reactor. According to the invention, the identification precision of the defects of the dry-type air-core reactor can be improved.

The invention discloses a synchronous generator rotor turn-to-turn fault online monitoring method and system, and the method comprises the steps: building a time-varying parameter mathematical model which comprises a stator branch, a normal excitation loop, an excitation fault additional loop, a damping loop and a load based on a multi-loop theory, and collecting the current signals and key-phase signals of all parallel branches of a stator in real time; the fractional harmonic characteristic quantity representing the fault is extracted through analysis, and whether turn-to-turn short circuit occurs or not is judged according to a preset criterion; and if the fault is determined, determining the position of the fault magnetic pole by adopting a phase matching algorithm in combination with the key-phase signal and the magnetic pole fault characteristic angle database. According to the method, the primary side of the generator does not need to be transformed, high-sensitivity online monitoring and accurate positioning of rotor turn-to-turn faults in operation can be achieved, and the method is suitable for safety guarantee of an active-service unit.

The invention discloses a method for accurately measuring voltage, current and phase angles of a sectional intelligent electric energy meter, which relates to the technical field of electric energy meter metering and comprises the following steps of: S1, constructing a sectional load-mutual inductor angle difference correlation model, and dividing a plurality of load intervals according to an application scene of the sectional intelligent electric energy meter and working characteristics of a mutual inductor, acquiring current transformer angular difference data and voltage transformer impedance drift related data in different load intervals, and establishing and storing an association relationship between each load interval and a corresponding transformer angular difference compensation coefficient in combination with inherent parameters of the transformer; according to the invention, a segmented load-mutual inductor angle difference correlation model is constructed in advance, load voltage and current amplitude data are collected in real time to accurately determine a current load interval, and a corresponding mutual inductor angle difference compensation coefficient is automatically matched to carry out dynamic adaptive compensation on an initial phase angle. The problem of phase deviation caused by angular difference nonlinear change of a current transformer in different load intervals and impedance drift of a voltage transformer in the prior art is solved.

The invention discloses a rectangular plane phased-array antenna rapid phase matching resolving system and method based on an FPGA, and relates to the technical field of phased-array antenna beam pointing control. According to the scheme, phase complementation operation in beam pointing control is converted into normalization processing of a numerical value 1, and a row and column step-by-step computing architecture is adopted; and the FPGA resource consumption is greatly reduced while the phase resolving precision is ensured. Input azimuth angle and pitch angle information is converted into corresponding trigonometric function values by combining a look-up table method with pre-stored trigonometric function values, phase difference information between adjacent array elements is obtained after the trigonometric function values are multiplied by corresponding frequency points and array element spacing information, a row / column phase matrix is generated through accumulation operation, combination operation is carried out, and the array element spacing information is obtained. And finally, phase matching calculation of more than 1024 array elements is completed at a microsecond level.

The invention provides a low-voltage power distribution network fault positioning method based on electric meter cooperative communication, and the method comprises the steps: enabling each intelligent electric meter to monitor the electrical parameters of a node where the intelligent electric meter is located in real time, generating initial fault information when any target intelligent electric meter in a plurality of intelligent electric meters determines that a fault exists according to the electrical parameters, the target intelligent electric meter sends the initial fault information to the adjacent intelligent electric meter according to the communication topology so as to send the initial fault information to the main processor through the communication topology, and the main processor analyzes and determines the fault position and the fault type of the low-voltage power distribution network according to the initial fault information and the communication topology. According to the invention, each intelligent meter generates the initial fault information according to the monitored electrical parameters in real time and based on the electrical parameters, and sends the initial fault information to the main processor through the communication topology, so that the fault detection efficiency is improved, the process is simple, and extra manpower and material resource investment is not needed.

The invention discloses an abnormity alarm method of a power distribution system and a related device, and relates to the technical field of data analysis, and the method comprises the steps: carrying out the preprocessing of the monitoring data of the power distribution equipment of the power distribution system, and carrying out the current phase vector analysis based on the preprocessed monitoring data; performing operation loss analysis based on the monitoring data in combination with environmental parameters; analyzing an association relationship between the operation states of the power distribution equipment based on the operation state matrix; analyzing the load state of the power distribution system by combining the monitoring data based on the association relationship; performing anomaly occurrence uncertainty analysis on the power distribution system based on the operation loss data and the load state data; and performing abnormal risk assessment on the power distribution system based on the current phase vector data, the operation loss data, the load state data and the abnormal occurrence uncertainty data so as to judge whether alarm information needs to be sent out or not. According to the invention, the accuracy of abnormal risk assessment is effectively improved, and wrong report and missing report of an abnormal alarm event are avoided.

The invention discloses a permanent magnet synchronous motor turn-to-turn short circuit fault diagnosis method based on a high-frequency negative-sequence component, and the method comprises the steps: obtaining a high-frequency voltage injection signal according to the three-phase current of a motor, obtaining a high-frequency current signal through space vector pulse width modulation, injecting the high-frequency current signal into the motor, obtaining the three-phase voltage and three-phase current of the current motor, and extracting a high-frequency component in the three-phase voltage and three-phase current; high-frequency negative-sequence voltage and high-frequency negative-sequence current are obtained according to the extracted high-frequency components, and fault features are constructed; comparing the fault feature with a fault threshold value, judging that the permanent magnet synchronous motor is healthy if the fault feature is smaller than the fault threshold value, and judging that the permanent magnet synchronous motor is faulty if the fault feature is larger than or equal to the fault threshold value. According to the method, extra detection hardware is not needed, real-time detection and positioning of the turn-to-turn short circuit fault can be realized by using the negative sequence component of the motor in the high-frequency domain in the servo operation state of the permanent magnet synchronous motor, and the method has relatively high applicability and robustness.

The invention discloses a grid drive short-circuit protection method based on dV / dt detection, which relates to the technical field of power electronics, and comprises the following steps: constructing a unified time frequency reference baseline, executing all-phase mapping on each power device of a parallel system, reconstructing a conduction sequence, and calculating a phase difference between a voltage rising edge and sampling trigger. Generating a time frequency dislocation matrix, and determining a phase dislocation risk window; and executing causal playback in the phase dislocation risk window, extracting transient waveform characteristics of a voltage rising edge, eliminating parasitic pseudo peaks, obtaining an effective response trajectory, generating a sampling phase check anchor point based on the trajectory, and constructing a phase reference baseline. According to the method, a unified time-frequency baseline and a dynamic sampling mechanism are constructed to realize phase synchronization of sampling and conduction, the sampling rhythm and the turn-off threshold are optimized in combination with feed-forward vibration suppression and residual adjustment, the short circuit identification speed and precision are improved, and the method has self-healing and self-correcting capabilities and is suitable for high-frequency and high-power density scenes.

The invention relates to the technical field of power distribution cabinet safety control, in particular to a power distribution cabinet explosion-proof device and a safety control method, and the method comprises the steps: obtaining the voltage of each phase circuit in an explosion-proof power distribution cabinet at each moment, and the current of a zero line circuit at each moment in real time; calculating the steady-state deviation degree of each moment; performing frequency domain analysis on the voltage of each phase of circuit in the local range to obtain a spectrogram; determining the harmonic interference degree at each moment; and obtaining a surge evaluation value at each moment, determining a fault coefficient at each moment, evaluating the operation state of the explosion-proof power distribution cabinet in real time, and performing safety control on the power distribution cabinet. According to the invention, the safety control and effective operation and maintenance of the explosion-proof power distribution cabinet are improved, and the risks of false alarms and missing alarms are reduced.