20 results about "Energy migration" patented technology

The invention relates to the field of motor rotor fault diagnosis, and particularly discloses a motor rotor fault diagnosis method based on high-resolution spectrum estimation and machine learning, and the method comprises the following steps: capturing a stator current signal, air gap flux fluctuation and an acoustic emission pulse sequence, and generating an initial spectrum cluster with a cross-scale disturbance characteristic; applying a variational high-resolution blind decomposition strategy to the initial spectrum cluster, and constructing an abnormal embedding vector set reflecting weak disturbance by using a spectrum energy migration coefficient; unwrapping the abnormal embedded vector set through a time-frequency hypergraph structure, and recognizing a potential fault channel in combination with a rotating speed disturbance phase chain and a tooth space modulation track; a virtual weak fault enhancement mechanism is introduced into sparse coupling representation, a simulated weak fault frequency spectrum is generated and subjected to difference fitting with an actual signal, and real features covered by noise are inverted and corrected; and introducing an energy adversarial migration network on the weak fault features to obtain multi-modal fusion features, and dynamically generating an early degradation risk curve of the motor rotor.

The invention relates to the technical field of line loss assessment, in particular to a power system line loss assessment method and system based on big data processing, and the method comprises the following steps: collecting voltage, current and phase angle signals of a power supply section, carrying out the frequency domain transformation, extracting the amplitude and phase of a frequency component, and generating a frequency spectrum feature set; energy spectrum characteristics and a migration sequence are calculated to analyze spectrum form stability, a risk section is identified by combining a power flow direction and an energy migration included angle difference, and a line loss assessment result is generated by combining a gravity center drift trend and an energy change sequence. Energy spectrum features and migration sequences are extracted to describe power grid energy distribution changes, an included angle difference between a power flow direction vector and an energy migration direction is calculated to screen an abnormal section, an energy drift trend is analyzed in combination with a frequency spectrum gravity center track, line loss real-time quantification and area positioning are achieved, and abnormal loss identification precision and operation evaluation stability and reliability are improved.

The application discloses a kind of near-infrared benzothiadiazole dye sensitized rare earth upconversion luminescence nano-probes and preparation method thereof;Probe is composed of near-infrared benzothiadiazole dye and upconversion nanoparticle, benzothiadiazole dye is compounded with ligand-free lanthanide ion doped upconversion nanoparticle, and upconversion luminescence is enhanced.This application preparation method is simple, and it does not involve complex core-shell structure and energy migration process, benzothiadiazole dye is directly compounded with ligand-free rare earth nanoparticle, and upconversion luminescence nano-probe is formed, under the irradiation of 808nm laser, the emission spectrum of benzothiadiazole dye and the absorption spectrum of sensitizer ion in upconversion nanoparticle overlap, which can effectively enhance the upconversion luminescence intensity of nano-probe, and keep good light stability, keep more than 90% of initial luminescence intensity under the irradiation of 120 minutes excitation light.

The invention relates to the field of open-phase detection, in particular to an open-phase detection circuit and method based on capacitor energy migration. The circuit comprises three optocoupler switch branches, three capacitors and a voltage division branch. The first connecting ends of the three optocoupler switch branches receive three-phase voltage, and the second connecting ends of the three optocoupler switch branches are sequentially connected in series; a fourth connecting end of the first optocoupler switch branch receives a safe power supply signal; a third connecting end of the first optocoupler switch branch and a fourth connecting end of the second optocoupler switch branch are connected with one end of a capacitor C1; a third connecting end of the second optocoupler switch branch and a fourth connecting end of the third optocoupler switch branch are connected with one end of a capacitor C2; the third output end of the third optocoupler switch circuit is connected with one end of a capacitor C3 and the first input end of the voltage division branch; the second input end of the voltage dividing branch is connected with the other end of the capacitor C3 and is grounded, and the other ends of the capacitor C1 and the capacitor C2 are grounded. The detection circuit is simple and reliable, has isolation and is low in cost.

The invention discloses a distribution box multi-dimensional state online monitoring system based on Internet of Things, which relates to the technical field of distribution box monitoring and comprises a dynamic voltage turn-back capture module, an energy migration path construction module, a retention section delineation module, a resonance evolution line analysis module and a dynamic suppression path traction module. According to the invention, by constructing a dynamic voltage turn-back capture band and an energy migration path, gathering, staying and enhancing processes of energy in the distribution box can be identified in advance, and early-stage pre-judgment of a potential closed energy cavity is realized. And retention energy is dragged and dispersed in order through a dynamic inhibition path, so that the internal energy density of the distribution box is maintained in a safe range, thereby effectively avoiding sudden structural damage and improving the overall safety.

The invention discloses a safety helmet intelligent control method and system based on electroencephalogram characteristics, and the method comprises the steps: decomposing a real-time electroencephalogram signal frequency spectrum to generate cognitive load frequency domain characteristics, and building an electroencephalogram control space; an electroencephalogram control space is scanned to identify a frequency band coupling unbalance point, a cooperative intervention opportunity is reversely derived, and a multi-channel adjustment mode is formed; mapping the stimulation frequency range to generate a frequency matching domain, and performing resonance analysis to determine a resonance intervention window; monitoring a frequency band in a resonance window to obtain an energy migration track, constructing a risk propagation chain to identify a cascade failure node and forming a key blocking anchor point; analyzing risk acceleration of the key blocking anchor points to form a state deterioration rate, fusing frequency domain features to generate dynamic delay tolerance, and generating variable speed control parameters in a fast-slow grading manner; the variable speed control parameter is compared with a threshold value to generate a control deviation signal, reverse phase modulation is carried out to generate a hedging stimulation waveform, a phase compensation execution instruction is formed, and accurate monitoring and safe intervention of the cognitive state are achieved.

The invention discloses a C4F7N / CO2 mixed gas 50% lightning impulse voltage prediction method and device, electronic equipment and a storage medium, and belongs to the field of high-voltage insulation, and the method comprises the steps: obtaining the electron collision cross section, ion transport parameters, electrode gap and electrode type data of mixed gas, and constructing a two-dimensional electrode model; processing the electron impact cross section to obtain electron average energy, mobility, diffusion coefficient and reaction rate; solving a charged particle continuity equation and a Poisson equation by combining the parameters to obtain electric field intensity distribution and a streamer head position; and determining the initial voltage of the stream according to the corresponding externally applied voltage when the electric field intensity is maximum, determining the breakdown voltage of the stream according to the externally applied voltage before the head of the stream reaches the ground electrode, and calculating to obtain a predicted value of the lightning impulse voltage. According to the invention, the problem of lightning impulse voltage prediction failure caused by the fact that the streamer starting voltage and the streamer breakdown voltage cannot be accurately extracted in the prior art can be solved.

The invention discloses a red up-conversion luminescence nanometer material obtained through energy allocation and a preparation method and application thereof, and belongs to the technical field of up-conversion luminescence materials.According to the nanometer material, NaYF4 serves as a passivation core and a passivation shell on the outermost layer at the same time, NaErF4 serves as a matrix, NaYF4 serves as a passivation shell on the outermost layer, and NaYF4 serves as a passivation shell on the outermost layer and NaYF4 serves as a passivation shell on the outermost layer. Yb < 3 + > is introduced as a sensitized ion, and an active shell layer and a NaYF4: Yb sublattice shell layer of a Tm < 3 + > energy capture center are introduced. The NaYF4 passivation core and the passivation shell are utilized to effectively reduce energy loss, so that energy is recycled between the first shell layer and the second shell layer as far as possible, and 654 nm high-intensity red up-conversion emission light emitted by Er < 3 + > is finally obtained under the excitation conditions of 980 nm and 1532 nm through energy migration of Yb < 3 + >, energy back transfer of Yb < 3 + > to Er < 3 + > and the energy capture center effect of Tm < 3 + >.

The invention relates to the technical field of steel pipe bolt tightness state prediction, in particular to a steel pipe bolt tightness state prediction method and system based on ultrasonic recognition. The method comprises the following steps: acquiring a multi-channel ultrasonic reflection signal, projecting the multi-channel ultrasonic reflection signal to a three-dimensional coordinate space, and constructing an ultrasonic energy attenuation distribution function; based on an ultrasonic energy attenuation distribution function, mapping all the multi-channel ultrasonic reflection signals to a four-dimensional space-time disturbance tensor field, and performing decoupling processing to obtain a disturbance energy migration rate; uniformly representing the disturbance energy offset rate as a state vector, and constructing a nonlinear time sequence recursion model to obtain a prediction state vector; and based on the prediction state vector, introducing a double-branch evaluation mechanism, and carrying out state classification and pre-tightening force regression prediction. The problems that a traditional steel pipe bolt tightness state prediction technology is inaccurate in ultrasonic signal processing and analysis, high-dimensional space disturbance characteristics caused by bolt looseness cannot be obtained, recognition accuracy is low, and stability is poor are solved.

The application discloses a time-frequency collaborative equalization distortion suppression method for an OFDM signal, and belongs to the field of wireless communication. The application solves the problems of high complexity and poor transmission reliability of the existing short cyclic prefix method. The application adopts an OFDM system based on time domain oversampling and frequency domain interpolation equalization at a receiving end. The oversampling algorithm can enhance the power of useful signals by appropriately widening the equalization frequency band, thereby enhancing the equalization effect. The frequency domain interpolation equalization algorithm can better capture spectral details by performing weighted interpolation processing on the frequency domain receiving signals, thereby realizing compensation and correction of the energy migration phenomenon of spectral lines in the frequency band caused by the channel effect. Through time-frequency collaborative processing at the receiving end, the application can efficiently suppress interference, ensure stable and reliable demodulation accuracy and communication quality, avoid the spectral resource loss caused by the extra lengthening of the cyclic prefix, and further significantly improve the spectral utilization efficiency of the system. The application can be applied to the field of wireless communication.

The application discloses a safety helmet intelligent control method and system based on electroencephalogram features, generates cognitive load frequency domain features by real-time electroencephalogram signal spectrum decomposition, and establishes an electroencephalogram control space; scans the electroencephalogram control space to identify frequency band coupling imbalance points and reversely deduce collaborative intervention time, and forms a multi-channel adjustment mode; maps a stimulation frequency range to generate a frequency matching domain and establishes a resonance intervention window through resonance analysis; monitors the frequency band in the resonance window to obtain an energy transfer trajectory, constructs a risk propagation chain to identify a cascading failure node and forms a key blocking anchor point; analyzes the risk acceleration of the key blocking anchor point to form a state deterioration rate, fuses the frequency domain features to generate a dynamic delay tolerance, and generates variable speed control parameters through fast and slow grading; compares the variable speed control parameters with a threshold value to generate a control deviation signal, generates a hedging stimulation waveform through anti-phase modulation, and forms a phase compensation execution instruction, and precise monitoring and safe intervention of a cognitive state are realized.

The invention relates to the technical field of synthesis of luminescent materials, and particularly provides a Sb (III)-based metal halide glass material and a preparation method thereof. The chemical expression of the material is as follows: (C18H15S) 2SbCl5, the glass material has an isotropic amorphous structure. The method comprises the following steps: step 1, coprecipitating antimony chloride and organic sulfonium salt in a DMF (Dimethyl Formamide) solution to obtain a product; 2, melting the heating product at a first preset temperature to obtain a precursor; 3, heating the precursor at a second preset temperature to obtain a clear and transparent mixed solution; and step 4, pouring the clear and transparent mixed solution into a mold to obtain the Sb (III)-based metal halide glass. In the material provided by the invention, the isotropic distribution characteristic provided by a glass disordered network, the strong local light-emitting mechanism of the Sb-Cl coordination unit and the dual limitation of organic cations on structure and energy migration jointly inhibit the formation of a non-radiative transition channel under a heating condition, so that the (C18H15S) 2SbCl5 glass material shows better thermal stability.

The invention discloses a Bluetooth positioning precision optimization method based on high-precision positioning, and the method comprises the steps: collecting Bluetooth signal data, and carrying out the preprocessing of the Bluetooth signal data, and generating a multi-base-station synchronous observation sequence; constructing a Radon operator path constraint module, and generating spatial integral constraint data; introducing energy conservation and variation constraint, and performing inversion to generate a Bluetooth error distribution field; a signal deflection event is detected, positioning uncertainty is evaluated, and risk information is generated; acquiring calibration position information, and locally updating an error field according to an error energy migration principle; and calling the updated error field, compensating and smoothing the positioning result, and outputting a final track. According to the method, the Bluetooth positioning error field capable of being self-updated is generated through construction of the spatial path constraint and inversion, and continuous improvement of the Bluetooth positioning precision and the trajectory stability in a complex dynamic environment is achieved.

The invention provides an energy management optimization control method and device for a high-magnification fast-charging battery and electronic equipment, and relates to the technical field of battery management, and the method comprises the steps: obtaining the cross-scale state data of a battery; the cross-scale state data comprises macroscopic state data, mesoscopic state data and microscopic state data; constructing a digital twinborn body of the battery based on the cross-scale state data, pre-judging the potential risk of the battery through virtual simulation, and generating an optimization control strategy; and performing multi-field coupling dynamic control on a thermal management module, an energy migration module and a magnetothermal coupling module of the battery based on the optimal control strategy. In the mode, accurate insight and early warning of the internal risk of the battery are realized; planning an optimal control strategy in advance to minimize life loss; under the condition of high-rate fast charging, the safety is improved fundamentally, the energy balance efficiency is optimized to the greatest extent, and the cycle life of the system is prolonged remarkably.

The invention discloses an energy collaborative management method of a container type battery integration system, and relates to the technical field of container type energy storage equipment, and the method comprises the steps: obtaining the original data of a battery cabin during operation through a sensor group arranged in the battery cabin and combining the equivalent heat capacity Ct calibrated at a factory leaving stage; and an energy data set and a thermal state data set are formed after data processing. Constructing an effective energy transmission index Pli and a transmission matrix Pli (K, L) according to the energy data set to perform energy migration state evaluation, calculating a thermal response energy index Qth according to the thermal state data set to perform thermal accumulation state evaluation when an energy migration flow meets a standard, and constructing an energy flow collaborative decision index Efw collaborative decision evaluation if a thermal accumulation trend exists; and an analysis result is written into a time sequence database for filing, data drift is judged through a periodic differential change rate, and a parameter self-correction mechanism is automatically triggered. According to the method, dynamic coordination control of energy transmission and thermal load between the battery cabins is realized.

The invention provides an air coupling ultrasonic detection imaging method based on a wavelet packet entropy variable gradient, and belongs to the technical field of nondestructive detection. Aiming at the layering defect generated in manufacturing and service of key components such as CFRP (Carbon Fiber Reinforced Plastics) which are strictly prohibited from external pollution, a traditional ultrasonic method has pollution risk and application limitation due to the use of a coupling agent. A non-contact air coupling mode is adopted, and the pollution problem caused by introduction of a coupling agent is thoroughly avoided. By analyzing frequency domain energy migration and wave field disorder degree change caused by defects, an entropy change gradient damage index is constructed, and a multi-scale adaptive weighted imaging algorithm is combined, so that the defect boundary recognition capability and the image resolution are remarkably improved. Under 200kHz Lamb wave excitation, the method can realize clear imaging on CFRP layering defects, the average size measurement error is 6.1%, and the effect is obviously superior to that of a traditional energy method. The invention provides a high-reliability and pollution-free nondestructive testing solution for the CFRP structure.

This invention relates to the field of equipment condition monitoring technology, specifically to a digital operation and maintenance method and system for water conservancy and hydropower, comprising the following steps: collecting vibration voltage signals from the turbine main shaft bearing housing and casing; performing analog-to-digital conversion to generate discrete vibration sampling values; performing frequency decomposition to obtain frequency components and frequency band energy tables; identifying the relationship between adjacent time periods and frequency band energy migration; calculating periodic energy migration and marking abnormal segments; and counting the number of anomalies to generate unit operation and maintenance trigger information. In this invention, by collecting vibration voltage signals from the main shaft bearing housing and casing, statistically analyzing vibration amplitudes and recording monitoring locations, systematically organizing vibration data, identifying energy changes and frequency band migration relationships between adjacent monitoring times, performing dynamic tracking, calculating periodic energy migration and marking abnormal segments, the accuracy and timeliness of vibration status monitoring are improved, enhancing anomaly identification and trend prediction capabilities, supporting early detection of potential faults and preventative operation and maintenance, and improving equipment operation safety and stability.

The application relates to the technical field of antenna array control, and discloses an array synthesis sidelobe suppression control method, an array synthesis sidelobe suppression control system and a storage medium, wherein array working parameters of an array system, a sidelobe control angle domain and actual amplitude and phase errors of each array element are acquired, an error perception array response model is constructed based on the array working parameters and the actual amplitude and phase errors of each array element, a plurality of sidelobe account angle domains are divided, sidelobe energy values of the sidelobe account angle domains are calculated, sidelobe energy overspending amounts of the sidelobe account angle domains are obtained, an error migration contribution matrix is constructed, executable excitation weights corresponding to each array element are generated, the executable excitation weights are issued to the array system, and the array system is controlled to adjust excitation states of each array element according to the executable excitation weights, so that array synthesis sidelobe suppression control is performed. According to the application, sidelobe energy migration caused by actual amplitude and phase errors is converted into executable excitation weight correction, and directional suppression of sidelobe energy in an interference-sensitive angle domain is realized.

This application discloses a method for controlling the phase and transmittance uniformity of a phase-shifting mask. The method includes: acquiring spatial light field distribution data of the phase-shifting mask during the exposure process; constructing a corresponding spatial energy flow vector field based on the spatial light field distribution data, and calculating the energy migration direction, energy convergence degree, and energy divergence degree of each region according to the spatial energy flow vector field; constructing a phase gradient continuity model to characterize the spatial continuity of the phase field; identifying local abnormal energy migration regions according to the spatial energy flow vector field, and identifying abrupt phase gradient change regions according to the phase gradient continuity model, and constructing a joint phase and transmittance uniformity control model; generating corresponding uniformity control parameters to coordinately adjust the phase shift layer thickness, local light-transmitting layer material distribution, and mask pattern edge transition structure in the corresponding region of the phase-shifting mask. This application improves high mask performance and lithography yield.

This invention discloses an energy collaborative management method for a containerized battery integrated system, relating to the field of containerized energy storage equipment technology. This method uses a sensor array deployed inside the battery compartment, combined with the equivalent heat capacity Ct calibrated at the factory, to acquire raw data during battery compartment operation. After data processing, energy datasets and thermal state datasets are formed. Based on the energy datasets, an effective energy transfer index Pli and a transfer matrix Pli(K,L) are constructed for energy migration state assessment. When the energy migration flow meets the standard, a thermal response energy index Qth is calculated based on the thermal state dataset for thermal accumulation state assessment. If a thermal accumulation trend exists, an energy flow collaborative decision index Efw is constructed for collaborative decision assessment. The analysis results are written into a time-series database for archiving, and data drift is judged by the periodic differential rate of change, automatically triggering a parameter self-correction mechanism. This method achieves dynamic coordinated control of energy transfer and heat load between battery compartments.