3351 results about "Electric current" patented technology

The invention relates to the technical field of power system monitoring and fault diagnosis, and particularly discloses a fault diagnosis system of an electrical variable measurement insulator detection device. The system comprises a synchronous acquisition module, a multi-physical field feature extraction module, a self-adaptive fault diagnosis engine and a feedback module. By synchronously acquiring voltage harmonic waves, leakage current and temperature data, extracting feature vectors of coupling electric-thermal influence and performing two-stage collaborative diagnosis by using a dynamic threshold value and a mahalanobis distance, high-sensitivity and self-adaptive accurate identification and early warning of an early latent fault of the insulator are realized. According to the system, by constructing a synchronous data acquisition module and a multi-physical field feature extraction module, two key influence factors, namely an operation voltage harmonic component and an environment temperature, are brought into a diagnosis system in a quantifiable feature form for the first time.

A charging bench includes three coils that partially overlap, in superposed planes. An electrical feed makes it possible to supply the coils with an AC current from the mains. A portable device to be charged is placed on the upper side of this charging bench. This device includes a winding intended to receive the electrical charging, and a ferrite protective screen. One of the coils (Bb) is selected to emit the magnetic charging flux toward the mobile phone. The selection is carried out via the emission of a series of pulses by at least one of the coils and comparison of return signals with a reference threshold. This comparison also enables one of the other coils (Ba, Bc) to be selected or both of these other two coils (Ba, Bc) to be used to receive a flux for communicating information originating from the portable device to be charged.

The invention discloses a numerical control machine tool vibration suppression self-adaptive control system and method, and relates to the technical field of intelligent vibration control, and the method comprises the steps: building a current-modal dynamic mapping relation between an electrical drive characteristic and a mechanical structure modal response based on a vibration state feature vector; real-time machine tool modal state vectors are obtained through online recursive estimation; the machine tool modal state vector is used as a boundary condition to be injected into the virtual prediction model; solving to obtain an optimal control parameter sequence and a corresponding vibration prediction result in a future time domain by taking multi-performance index collaborative optimization as a target through a rolling optimization control strategy; translating the control parameter sequence into a specific execution instruction and issuing the specific execution instruction; monitoring an execution process in real time and recording actual response data; according to the method, the accuracy of vibration prediction and the real-time performance of control response are improved by establishing the dynamic mapping relation from the electromagnetic driving characteristics of the servo main shaft and the feed motor to the dynamic response of the machine tool structure.

Provided in the present invention are a flip light-emitting diode chip and a manufacturing method therefor. The flip light-emitting diode chip comprises: a substrate, and an N-type semiconductor layer, an active light-emitting layer, a P-type semiconductor layer, a current spreading layer, a first insulating layer, a Bragg reflective layer, a metal reflective layer, a second insulating layer, a connection metal layer, a third insulating layer and a bonding pad layer, which are sequentially deposited on the substrate. The connection metal layer comprises a reflective layer and a protective layer that are sequentially arranged from bottom to top; the protective layer comprises a first protective parent layer, a second protective parent layer, and a third protective parent layer that are sequentially arranged from bottom to top, the second protective parent layer comprising n first protective sublayers and second protective sublayers that are periodically stacked, the thicknesses of the first protective sublayers gradually increasing linearly toward the third insulating layer, and the thicknesses of the second protective sublayers gradually decreasing linearly toward the third insulating layer.

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 provides an energy coordination control system and scheduling method for multi-energy complementary new energy storage, and belongs to the technical field of new energy storage and energy technology management. The data acquisition and processing module is connected with a current and voltage sensor, a power transmitter, a meteorological station sensor and a battery management system sensor, and is used for acquiring voltage, current, power, state of charge and environmental data of photovoltaic power, wind power, energy storage and load through the sensors; and sliding window filtering and wavelet de-noising processing are carried out through the embedded processor. The method has the beneficial effects that the uncertainty of wind and light output is effectively processed by establishing a layered distributed optimization architecture and adopting a method of combining multi-objective optimization and robust optimization, and the consumption rate of renewable energy sources can be remarkably improved, the net load fluctuation can be reduced and the energy consumption can be reduced on the premise of meeting various system operation constraints. Therefore, dependence on conventional fossil energy is reduced, and the economic operation level and the environmental protection benefit of the whole energy system are improved.

The invention discloses an insulator leakage current non-contact measurement method and system based on magnetic field sensing, and belongs to the technical field of electrician measurement, and the method comprises the steps: collecting original magnetic field data and environmental parameter data; performing interference stripping processing on the original magnetic field data based on the environmental parameter data to generate corrected magnetic field data; performing time-frequency analysis and noise suppression processing on the corrected magnetic field data to obtain leakage current characteristic data; performing inversion calculation by using the leakage current characteristic data to obtain a leakage current value; in combination with historical leakage current data, executing state evaluation processing to generate an insulator state; and according to the insulator state, automatic optimization processing is executed, and magnetic field sensor array gain and interference stripping processing parameters are adjusted. According to the invention, the technical scheme of multi-source sensing data fusion, interference stripping, physical inversion calculation and state evaluation closed-loop feedback optimization is adopted, and high-precision non-contact measurement and intelligent state evaluation of the leakage current of the insulator can be realized.

The invention relates to the technical field of maglev motor dynamics and control, and discloses a bearingless asynchronous motor multi-frequency harmonic vibration cooperative suppression method, which comprises the following steps: acquiring radial displacement signals and mechanical angular velocity of a rotor in an x axis and a y axis under a stator fixed coordinate system, and stacking double-axis displacement signals into an observation vector; calculating a weighting coefficient of the normalized residual error through a Huber robust cost function, and outputting the amplitude, the phase and the confidence of each order of harmonic wave; estimating the total disturbance of the system by using a linear extended state observer with harmonic energy injection, wherein the total disturbance is obtained by weighted summation according to the confidence, order and mechanical angular velocity of each order of harmonic; calculating a feedback control force according to the total disturbance estimated value, and superposing the feedforward compensation force and the feedback control force to generate a total suspension force instruction; and according to the total suspension force instruction, inversely calculating a suspension winding current reference value and outputting a control instruction. According to the invention, a mutually complementary cooperative suppression mechanism is formed, and the suppression precision of multi-frequency vibration is improved.

The invention discloses a low-temperature CMOS carrier MFP and microscopic parameter extraction method and system, which are corresponding schemes, in the scheme, a carrier MFP extraction model for eliminating a microscopic unknown quantity is constructed by utilizing a geometric scaling rule of quasi-ballistic transport and an existing effective mobility extraction technology, and an MFP extraction model for eliminating the microscopic unknown quantity is constructed by utilizing the geometric scaling rule of quasi-ballistic transport and the existing effective mobility extraction technology; the MFP extracted by the carrier MFP extraction model is ensured to be a pure experiment observation value on the basis that effective quality, Fermi velocity and scattering time do not need to be predicted based on the self-consistency of macroscopic current and voltage data along with the change of channel length; meanwhile, on the basis, the microcosmic parameters are decoupled, so that the decoupled microcosmic parameters are extracted one by one; compared with an existing scheme, the method can be directly applied to a standard wafer-level test board in the industry, MFP distribution of hundreds of devices can be rapidly counted, and a feasible engineering scheme is provided for low-temperature process monitoring.

A microelectronic device including an isolation device with a stabilized dielectric. The isolation device includes a lower isolation element, an upper isolation element, and an inorganic dielectric plateau between the lower isolation element and the upper isolation element. The dielectric sidewall of the inorganic dielectric plateau is stabilized in a nitrogen containing plasma which forms a SiOxNy surface on the dielectric sidewall of the inorganic dielectric plateau. The SiOxNy surface on the dielectric sidewall of the inorganic dielectric plateau reduces ingress of moisture into the dielectric stack of the inorganic dielectric plateau.

The invention discloses a photovoltaic module early-stage fault early-warning method based on electric-thermal characteristic joint analysis, and belongs to the field of photovoltaic module early-stage fault early-warning, and the method comprises the steps: segmenting an irregular high-temperature or low-temperature region according to a temperature distribution image through employing a data segmentation algorithm, and extracting the boundary contour and area quantification characteristics of the abnormal region; performing joint feature vector construction by using the abnormal region boundary contour and area quantization feature and the current and voltage fluctuation amplitude in the electrical signal time sequence to obtain the comprehensive fault diagnosis vector; according to the preliminary fault classification label, extracting a temperature electrical corresponding association mode of a similar fault case from a historical fault diagnosis database, and obtaining an enhanced fault corresponding relation model; and generating a system risk assessment report by adopting the final fault diagnosis classification result, triggering a corresponding alarm mechanism, and judging the overall risk level of the renewable energy system.

The invention relates to the technical field of yield control, in particular to a neutron generator yield control method and system. The method comprises the following steps: establishing a polynomial model by using historical yield data to predict a target efficiency attenuation factor; dynamically determining neutron event boundaries in the pulse integral value and the pulse width two-dimensional characteristics based on the attenuation factor, and counting the neutron event boundaries; the yield deviation and the change rate are calculated, and when the deviation exceeds a threshold value, feedforward compensation is carried out on the target yield; and selecting a three-dimensional lookup table, an input deviation, a change rate and a current high voltage according to the interval to which the attenuation factor belongs, and cooperatively determining the adjustment amount of the ion source current and the accelerator high voltage. According to the scheme, the measurement and control problems caused by aging of the target piece can be solved, and the precision, the response speed and the long-term stability of yield control are improved.

A battery heating system includes: a temperature monitoring circuit configured to output a temperature monitoring signal; a voltage conversion circuit configured to receive a first voltage that is input by a power supply or a second voltage that is input by a to-be-heated battery; and a control circuit configured to receive the temperature monitoring signal and output a control signal. The voltage conversion circuit is configured to perform boosting processing or bucking processing on the first voltage based on the control signal or perform boosting processing or bucking processing on the second voltage based on the control signal to enable the to-be-heated battery to receive a charging current from the power supply in a first time segment using the voltage conversion circuit and the to-be-heated battery to output a discharging current to the power supply in a second time segment using the voltage conversion circuit.

The invention provides a hysteresis loop analysis method for a transformer no-load loss test, and belongs to the technical field of transformers. Exciting voltage and current signals are collected in a transformer no-load state, and an active filter is used for carrying out digital filtering processing to eliminate harmonic interference; a data corresponding relation between magnetic flux density and magnetic field intensity is established through a digital integration algorithm and a magnetic field intensity calculation formula to form original hysteresis data, the original hysteresis data is processed by using a hysteresis loop optimization model, a complete hysteresis loop curve is generated, and the hysteresis loop area is calculated. According to the hysteresis loop area, the hysteresis loss power density is calculated through the iron loss calculation function, the total value of the transformer no-load loss is obtained by combining the eddy current loss calculation result, and the technical problems that the hysteresis loop reconstruction precision is not high and the complex hysteresis phenomenon cannot be adapted in the transformer no-load loss test are solved.

The invention discloses a grounding grid electric heating power multi-field coupling modeling method and system considering soil nonlinear breakdown, and belongs to the technical field of power system grounding grids. The method comprises the following steps: establishing a three-dimensional geometric model containing a soil domain and a grounding grid conductor; defining non-linear conductivity characteristics of the soil; setting multi-physical field parameters and corresponding boundary conditions of the three-dimensional geometric model; and establishing a multi-physical field coupling control equation set including an electric field equation, a heat conduction equation and a thermal stress equation, and solving by adopting a finite element method to obtain three-dimensional space distribution data of the grounding grid under lightning current impact. According to the invention, on the basis of fully considering the nonlinear breakdown characteristic of the soil, the accurate simulation of the electric heating power multi-physical field behavior of the grounding grid under the impact current effect is realized, and the accuracy of impact impedance, potential distribution and temperature rise prediction is obviously improved.

The invention belongs to the technical field of welding process optimization, provides a pipeline welding parameter optimization method and system for natural gas conveying system construction, and is used for solving the technical problems of high hydrogen-induced cracking risk, parameter dependence on artificial experience and optimization process isolation lag in shallow hydrogen natural gas conveying pipeline welding. According to the method, a visual image of a molten pool, a joint thermal field, electric arc electrical parameters and environmental data are synchronously collected through a multi-source sensor, a hydrogen diffusion-thermal coupling model is constructed to calculate hydrogen concentration and stress, after reference parameters of a knowledge base are called, current, voltage and speed adjustment amounts are generated through a GBDT algorithm, and then real-time correction is conducted through a closed-loop module. According to the method, hydrogen-induced cracking can be quantitatively prevented and controlled, the weld joint failure probability in the shallow hydrogen environment is reduced, the process robustness and quality consistency are improved, the safe service life of the pipeline is effectively prolonged, and the high-safety energy conveying requirement is met.

The invention relates to the technical field of data processing, and discloses a cable joint arc multi-physical field simulation method and system. The method comprises the following steps: establishing a defect-containing geometric model, judging according to a temperature gradient change rate and a current rising rate to obtain an adaptive time step length, and carrying out bidirectional coupling iteration on an arc temperature field and a material dielectric parameter based on the time step length to obtain an accumulated damage factor; arranging a virtual temperature detection point to convert the simulation temperature field into a virtual monitoring signal, extracting temperature characteristic parameters and ultrasonic spectrum characteristic parameters, and projecting the temperature characteristic parameters and the ultrasonic spectrum characteristic parameters to a two-dimensional characteristic space to obtain a fault mode fingerprint spectrum. According to the method, adaptive adjustment of the time step length is realized by establishing an arc evolution phase discrimination mechanism, and the problems of low calculation efficiency and insufficient transient characteristic capture caused by a fixed time step length are solved.

The invention provides an underground pipe column detection method and system and a medium, and the underground pipe column detection system comprises detection equipment, an excitation signal generator and an underground detection device; the detection equipment is in communication connection with the excitation signal generator and the underground detection device; the underground detection device comprises a transmitting coil and a magnetic sensor array consisting of a plurality of receiving coils; the excitation signal generator is configured to apply transient excitation current to the transmitting coil; the transient excitation current enables the transmitting coil to generate an excitation magnetic field; the excitation magnetic field enables the sleeve layer to generate an induced magnetic field; the magnetic sensor array is configured to collect the magnetic field intensity of the induced magnetic field and generate a magnetic field intensity vector; the detection equipment is configured to perform sparse reconstruction solution on the target vector containing the wall thickness information of the casing layer according to the magnetic field intensity vector and the space observation matrix corresponding to the magnetic sensor array, and through the embodiment of the invention, the limitation of the number of array elements on the detection resolution can be broken through, and the detection precision of the wall thickness of the underground pipe column is improved.

The invention discloses an evaporation process multi-parameter trend analysis and anomaly recognition method and system, and the system comprises a process data collection and preprocessing module, a process modeling and mode recognition module, and a closed-loop anomaly detection and response module. According to the system, a plurality of key parameters such as coating rate, heating power, film thickness, vacuum degree, electron gun current and temperature are collected in real time through a sensor array, data alignment and multi-dimensional feature vector construction are carried out based on a unified time reference, and a normal working condition parameter distribution model is established by adopting a clustering modeling method; multi-parameter coupling type anomaly detection and grading early warning and real-time recording of abnormal events and parameter states are achieved through a mahalanobis distance mode and the like, a historical report is generated for tracing and analysis, the anomaly recognition accuracy and response speed of the technological process are improved, and the system is suitable for evaporation equipment quality monitoring in the fields of semiconductors, optics, photovoltaics and the like.

The invention provides an on-line intelligent monitoring system based on a coil, and relates to the technical field of data processing, and the system is used for calculating the comprehensive coupling degree between coil magnetic field change and current response according to monitoring data, obtaining a magnetic response correlation value, constructing a distribution matrix of coil magnetic field distribution characteristics, obtaining a coil local coupling map, and obtaining a current response correlation value. The method comprises the following steps: calculating the influence degree of temperature change on magnetic flux energy offset, obtaining a temperature drift correction value, identifying the relative offset trend of electromagnetic response and energy compensation, obtaining a phase offset, calculating the response self-stabilization degree of a coil in long-term operation, obtaining a dynamic balance factor, and identifying the dynamic characteristics of the coil in electromagnetic, temperature and space response dimensions. And judging whether the coil is in a response instability state or a normal operation state to obtain monitoring state result data. The state of the coil is monitored by identifying coupling characteristics of electrical parameters and temperature of the coil.

The invention discloses an AI-assisted self-adaptive control method and system for a gas safety valve, and relates to the technical field of gas safety control, and the method comprises the following steps: connecting the output end of an SEPIC circuit containing a continuous current mode and a discontinuous current mode with a coil of the gas safety valve; according to preset electrical and gas safety indexes, asynchronous data acquisition is carried out on the electrical and gas safety indexes, and an electrical and gas safety index sequence is obtained; utilizing an AI fusion analyzer on the edge MCU to perform interactive feature fusion analysis on the two types of sequences, and determining a self-adaptive control scheme of the gas safety valve; circuit modes are switched based on the control scheme, and the safety valve is driven to execute according to the switched SEPIC circuit. The technical problems that in traditional gas safety valve control, electric parameters and gas safety indexes are analyzed in a split mode, the circuit operation mode is single, and control response is inaccurate are solved, and the technical effects that efficient and reliable self-adaptive driving of the gas safety valve is achieved, and gas use safety and control flexibility are improved are achieved.

The invention discloses a sulfide-oxide composite solid electrolyte based on Lewis acid-base reaction, a preparation method of the sulfide-oxide composite solid electrolyte and a battery, and relates to the technical field of solid-state batteries. Comprising a sulfide electrolyte and a composite coating coated on the surface of the sulfide electrolyte, and the composite coating comprises an oxide electrolyte and a Lewis alkaline substance. The oxide electrolyte and the Lewis alkaline substance are adopted as the composite coating material, so that the sulfide electrolyte can be isolated from air, the air stability of the sulfide electrolyte is effectively improved, and the phenomenon that the sulfide electrolyte is subjected to oxidation-reduction decomposition in the charge-discharge process is reduced; and by-products generated in the use process of the sulfide electrolyte can be neutralized in situ by the Lewis alkaline substance, so that the great increase of interface impedance is reduced, the cycle performance and high-current stability of the battery are remarkably improved, and the problem that the interface impedance is increased in the charge-discharge process of the traditional sulfide solid electrolyte is solved.

The invention discloses a method for improving Buck light load efficiency, which can prevent pseudo CCM operation and can keep high light load efficiency even under a large duty ratio, and comprises the following steps: after soft start of a Buck converter is completed, an enable signal at the end of soft start sets an RS trigger U3 to be in an active state, and if an inductive current zero-cross detection trigger signal rises, the RS trigger U3 is in a non-active state, the RS trigger U3 is in a non-active state, and if the inductive current zero-cross detection trigger signal is in a non-active state, the RS trigger U3 is in a non-active state. When the high-end switch and the synchronous low-end switch are switched on, the setting end input of the RS trigger U3 is triggered, a switch starting signal output by the RS trigger U3 is set at the beginning of each switching period, the switch starting signal controls the constant on-time generator to modulate the charging current or capacitance so as to prolong the time of simultaneously switching off the high-end switch and the synchronous low-end switch, and when the synchronous low-end switch is switched on, the synchronous low-end switch is switched off. And the reset end of the RS trigger U3 inputs an output signal of the constant on-time generator to trigger the RS trigger U3 to reset.

To suppress a welding quality from deteriorating even if an arc-interruption occurs due to arc blow, in consumable electrode pulse arc welding.SOLUTION: In a consumable electrode pulse arc welding control method, in which a welding wire is fed at regular feeding speed and rising transition currents that rise from base currents to peak currents are distributed during a rising period of time, the peak currents are distributed during a peak period of time, falling transition currents that fall from the peak currents to the base currents are distributed during a falling period of time, the base currents are distributed during the base period of time, and welding currents Iw described above are repeatedly distributed in a first pulse period to perform welding, feeding speed Fw in an arc-interruption period of time at times of T13-t2 is set to be higher than the regular feeding speed at times of t1-t13.SELECTED DRAWING: Figure 2

The invention relates to a heterogeneous insulation interface parameter testing method and device based on broad-spectrum photoelectric emission, and the method comprises the steps: applying metal electrodes with different work functions to to-be-tested samples of two single-layer materials forming heterogeneous insulation, and obtaining a single-layer material photoelectric emission current spectrum; analyzing the photoelectric emission current spectrums of the single-layer materials to obtain parameters of the two single-layer materials forming heterogeneous insulation; applying metal electrodes with different work functions to a heterogeneous insulation composite sample formed by tightly attaching two single-layer materials forming heterogeneous insulation to obtain a total photoelectric emission current spectrum of the heterogeneous insulation composite sample; separating according to the total photoelectric emission current spectrum of the heterogeneous insulation composite sample to obtain an intermediate interface photoelectric emission current spectrum; and analyzing the photoelectric emission current spectrum of the intermediate interface, and calculating to obtain a real contact potential barrier between the two single-layer materials forming the heterogeneous insulation. Compared with the prior art, high-precision measurement of heterogeneous insulation interface parameters is realized.

The invention relates to a tunnel reluctance current sensor structure and temperature parameter optimization method and system, and the method comprises the steps: arranging an annular magnetic core, forming symmetrically distributed air gaps in the annular magnetic core, placing a tunnel reluctance current sensor in each air gap, and forming a double-air-gap magnetic circuit structure; constructing a magnetic field consistency coefficient according to the average magnetic induction intensity, the minimum magnetic induction intensity and the maximum magnetic induction intensity of the air gap center area, and performing optimization solution on structural parameters of the double-air-gap magnetic circuit structure by taking minimization of the magnetic field consistency coefficient as a target; respectively establishing a measurement channel and a reference channel according to the double-air-gap magnetic circuit structure obtained through optimization solution; multiple times of voltage signal acquisition are carried out through a reference channel under different injection reference currents and different temperature environments, and a temperature compensation factor is calculated, so that gain parameters of an amplifier in a measurement channel are adjusted. Compared with the prior art, the anti-interference capability and the measurement sensitivity of the system can be greatly improved.

The invention provides an organic electrochemical transistor regulated and controlled by a grating electrode and a preparation method of the organic electrochemical transistor, and belongs to the technical field of photoelectric detection and organic electrochemical transistors. The organic electrochemical transistor comprises a transparent substrate, a detector anode, a hole transport layer, a photosensitive layer, a semiconductor active layer, an electron transport layer, a detector cathode, a packaging layer, a transistor grid electrode, a transistor source electrode, a transistor drain electrode and an electrolyte. A QPD and an OECT are integrated above the transparent substrate. The invention also provides a preparation method of the organic electrochemical transistor. Through the illumination effect, the photo-generated voltage generated by the QPD serves as a grid regulation and control signal, and higher current variation for different illumination intensities is achieved. The preparation process is remarkably simplified, the responsivity, the detectivity and the linear dynamic range of the device are improved, the stability and the low power consumption characteristic are improved, and a new solution is provided for application of a photoelectric-electrochemical fusion device in the fields of flexible electronics, wearable detection, biosensing and the like.

The invention relates to the technical field of high-voltage electrostatic parameter measurement and circuit detection and analysis, and discloses a lampblack purifier high-voltage field intensity detection circuit method based on electrical variable measurement, which comprises the following steps: acquiring a real-time discharge current and output voltage data sequence of a detected electrostatic field load; determining a dynamic electrical stiffness parameter according to the response gradient; extracting a direct current component of the current to determine a real-time leakage conductance parameter; establishing coupling characteristics of the electrical stiffness increment and the leakage conductivity change rate, and judging impedance boundary displacement when the characteristics are mismatched; calculating the virtual displacement of the surface of the polar plate by using the discrete curvature of the electrical stiffness evolution trajectory; according to the method, the field intensity dynamic compensation is realized by sensing the change of a charge migration path, and the calculation deviation caused by medium accumulation is eliminated.

The invention relates to the technical field of fire prevention, and discloses a high-and-low-voltage power distribution room fire prevention early warning system based on potassium ion aerosol fire extinguishing, which comprises a smoke fire detection module used for detecting fire related data inside and outside a high-and-low-voltage power distribution room; the fire related data comprises smoke data and temperature data; the comprehensive evaluation module is used for judging whether an adopted evaluation model is a temperature evaluation model or a smoke evaluation model according to the fire related data; the fireproof grade classification module is used for grading fireproof grades in the high and low voltage power distribution room according to the screened evaluation model; the fire prevention measure implementation module is used for starting the potassium ion aerial fog fire extinguishing equipment in the corresponding fire prevention subareas to extinguish fire according to different grades; the electrical characteristic monitoring module is used for monitoring the load current and arc signal intensity of electrical equipment in the high-low voltage power distribution room and the temperature change rate of key nodes in real time; according to the invention, multi-dimensional accurate monitoring and graded prevention and control of the fire risk of the high and low voltage power distribution room are realized.

The invention provides a design and application of a power type electrolyte of a double-electric-layer capacitor, and the electrolyte comprises an organic solvent, an electrolyte salt and an additive. Wherein the additive has a general formula structure as shown in Figure 1: the additive has a strong electronegativity part and a strong electropositivity part, a proper chain length is adjusted between the two parts, so that the whole molecular size of the additive can be matched with the micropore diameter of the activated carbon, adsorption and desorption are facilitated, bond breaking is easy, and when part of pseudocapacitance is contributed through oxidation bond breaking, the performance of the additive is improved. According to the present invention, the positive electrode and the negative electrode can be preferentially adsorbed to the positive electrode and the negative electrode so as to form the regulation and the low polarity and high density interface, such that the ion association of the salt ions at the double electrode layer is reduced, the reduction of the liquid phase transmission internal resistance is achieved, the excellent power performance is further represented, and the capacity retention rate in the 125A large-rate cycle (the conventional current is 25A) is increased to 90.1% from 76.3%. In addition, the silicon-containing part formed by broken bonds can also synergistically remove HF generated by hydrolysis of salt anions BF4 <-> in the electrolyte, passivate Al foil and reduce the contact internal resistance of the aluminum conducting bar. The configuration of the additive introduced into the electrolyte is shown in the specification.