3290 results about "High Frequency Waves" patented technology

The invention provides a double-pulse high-frequency switching power supply control method and system for precise electroplating, and relates to the field of electroplating, and the method comprises the steps: collecting area surface data through a three-dimensional scanner, and obtaining a three-dimensional model; extracting a high-curvature area grid according to the three-dimensional model, and calculating to obtain a surface concave-convex degree index; performing current field simulation, and calculating current density vector distribution; when the deviation of the current density vector distribution exceeds a preset deviation threshold value, pulse parameters are optimized through a genetic algorithm; selecting a pulse parameter which is most matched with the surface concave-convex degree index, and carrying out iterative calculation to obtain updated current density vector distribution; based on the difference between the updated current density vector distribution and the initial distribution, predicting a coating thickness value, and determining a preliminary evaluation index; and optimizing pulse parameters to obtain a final control scheme of uniform current distribution. According to the method, pulse parameters can be dynamically optimized according to the geometrical shape of the workpiece, and uniform current distribution and stable plating quality are realized.

The invention provides a magnesium alloy electric drive main shell mold machining precision control method and system, and belongs to the field of precision numerical control machining. The method comprises the steps that dynamic milling force, key point temperature and position signals of all shafts are synchronously collected through a multi-source sensor; a recursive least square method is adopted to identify the dynamic rigidity and damping coefficient of the tool-workpiece system on line, and the thermal deformation drift distance is calculated in combination with a temperature signal; predicting a three-dimensional deformation error vector in real time based on the dynamic model, thermal deformation and geometric errors, and constructing a space compensation field; macro motion compensation is achieved by modifying numerical control program coordinate points, and meanwhile high-frequency micro-amplitude compensation is conducted through a spindle tail end fast tool servo system. And establishing an adaptive disturbance observer to perform online estimation on unmodeled disturbance and feed-forward compensation, and realizing online self-tuning of model parameters in combination with in-situ measurement feedback. Real-time sensing, full-band dynamic compensation and closed-loop self-adaptive control of multi-source errors are achieved, and the machining precision and long-term stability of the mold are remarkably improved.

The invention belongs to the technical field of comprehensive utilization of ocean renewable energy sources, and particularly relates to a pilot frequency coupling-based wind wave energy multi-degree-of-freedom broadband control method, which comprises the following steps of: performing frequency domain identification on wind wave environment characteristics, and constructing a wind wave pilot frequency energy coupling model; based on the motion response characteristics of the multi-degree-of-freedom floating platform, designing a pilot frequency energy regulation and conversion mechanism; a full-working-condition dynamic optimization control strategy is adopted, and cooperative operation and energy flow self-adaptive distribution of the wind energy conversion unit and the wave energy conversion unit are achieved. Aiming at the significant difference and relevance of wind energy and wave energy in frequency characteristics, time scale and spatial distribution, a pilot frequency wind wave coupling dynamic model is established, and broadband capture of low-frequency wind-induced and high-frequency wave-induced coupling energy is realized under complex sea conditions through multi-degree-of-freedom motion decoupling and state observation, so that the wind-induced and high-frequency wave-induced coupling energy is obtained. The energy utilization rate, the attitude stability and the structural safety of the system are effectively improved, and good robustness and engineering adaptability are achieved.

The invention relates to a high-frequency regeneration and rapid propagation method of Enkianthus chinensis tissue culture seedlings. The invention is characterized in that dormant axillary buds of semi-lignified young stems are used as the base. The method comprises the following main steps: sampling and disinfection treatment of explants, inducing of dormant axillary bud germination, inducing of adventitious bud and lateral bud high-frequency generation, strong seedling culture, test-tube rooting culture and acclimatization and transplanting. Finally, regenerative plants which have consistent parental character, excellent quality and strong stress resistance are obtained. According to the invention, lots of seedlings with consistent specification and excellent quality can be obtained within a short period of time, and marketization progress of Enkianthus chinensis is promoted powerfully.

The invention discloses a laser frequency stabilization system based on Faraday anomalous dispersion atomic filtering, which is used for carrying out frequency stabilization on phase modulation multi-sideband laser, and comprises a frequency doubling laser unit which is configured to comprise a fundamental frequency seed light source, an electro-optical modulator, a fundamental frequency amplifier and a frequency doubling crystal; the light splitting module unit is configured to split the frequency doubling light into a main output light path and a monitoring light path; the atomic optical rotation filter is located on the monitoring light path and is configured to maintain the purity of the frequency-stabilized laser spectrum through purification treatment under the control of the axial magnetic field and the temperature; the frequency stabilization unit is configured to be a frequency stabilization light path and a servo system, and the frequency stabilization light path is used for obtaining laser frequency information and generating an error signal; the servo system is used for controlling the frequency of the fundamental frequency seed light source according to the error signal feedback. According to the laser frequency stabilization system provided by the invention, the spectrum purification and frequency stabilization precision can be improved, so that high-frequency stability locking is realized.

The invention discloses a high-time-resolution flow field testing method and system based on sparse moment measured values and an intelligent power system, and belongs to the field of flow field testing and data reconstruction in bridge wind engineering. According to the method, overall low-frequency and local high-frequency sparse flow field data are obtained through a four-pulse fixed-frequency variable-frequency laser system and a four-exposure high-speed imaging PIV sampling system; a 32-dimensional nonlinear modal coefficient is extracted through a multi-scale convolution flow field sparse feature extraction model, then an unsampled time step coefficient is predicted through an LSTM intelligent power system model, and finally the unsampled time step coefficient is input into a multi-scale convolution auto-encoder to reconstruct a high-time-resolution flow field. The method does not need to depend on a pressure sequence, reduces the hardware and data processing cost through sparse sampling, accurately captures the flow field dynamics characteristics through intelligent modeling, solves the problems of expensive high-frequency hardware, loss of low-frequency reconstruction data and difficulty in model training in a traditional PIV test, and is suitable for flow field dynamics research and engineering optimization.

Plug connectors for use with high speed signals. The connector includes an insulative housing having a base portion and a tongue portion extending from the base portion, and conductive terminals held by the housing. Each conductive terminal has a mating portion held on a side of the tongue portion, a tail portion extending out of the housing, and an intermediate portion held in the base portion. The conductive terminals comprise signal terminals and ground terminals. A shielding member is disposed in the housing and includes features configured to provide shielding to signal terminals and electrically connect ground terminals. The shielding member also includes features configured to improve impedance consistency along conduction paths. Such a configuration meets signal integrity requirements in connectors designed for higher frequencies, while conforming to a standard that constrains mating and mounting interfaces.

The invention relates to the technical field of industrial vision, in particular to an automobile part surface defect detection method and system based on machine vision, and the method comprises the steps: firstly loading a CAD three-dimensional model, and rendering an ideal fringe reflection map in a virtual environment; calculating an optical distortion correction matrix by comparing the phase distortion with the phase distortion of an actual initial reflection image, driving a programmable light source to project a compensation pattern, and generating a normalized reflection intensity image; signal object decoupling is achieved through multi-scale wavelet transform, and high-frequency components and low-frequency components are separated; homomorphic filtering is applied to the low-frequency component to construct a homogenized background model, the high-frequency component is reversely corrected, and a high-signal-to-noise-ratio defect signal image is output; generating a coarse segmentation mask by the high-frequency signal through an adaptive local threshold, generating a morphology anomaly mask by the low-frequency signal through Hessian matrix morphological analysis, and fusing to form a collaborative segmentation mask; and extracting multi-dimensional geometric attributes of connected domains in the masks, and inputting the multi-dimensional geometric attributes into a decision tree to realize accurate classification and confidence output of defects.

The invention discloses a GIS ultrahigh frequency sensor ultrasonic cooperative detection system based on piezoelectric energization, and relates to the field of electric power detection, and the system comprises an excitation module which is used for transmitting a piezoelectric excitation signal with a specific frequency to a preset detection region in GIS equipment, so as to trigger the potential partial discharge acoustoelectric signal radiation of the region; the sensing module is used for receiving ultrahigh-frequency electromagnetic signals and ultrasonic vibration signals radiated by partial discharge in the GIS equipment; the excitation frequency, the filtering bandwidth and the sampling rate are dynamically optimized according to the detection result, the detection accuracy and efficiency are continuously improved, and reliable and effective guarantee is provided for safe operation and defect early warning of GIS equipment.

The invention discloses a handcart type high-voltage circuit breaker operating characteristic evaluation method based on big data analysis, and particularly relates to the field of data analysis, which comprises the steps of monitoring time division, data entry, data analysis and evaluation. All-time multi-dimensional monitoring is achieved through big data analysis, monitoring sub-areas are divided, dynamic data are collected at high frequency, transient changes are captured, the limitation of traditional single-point monitoring is broken through, and comprehensive data support is provided; quantitative indexes are constructed based on a multi-parameter fusion model, the electrical and mechanical system collaboration is comprehensively evaluated, the multi-dimensional performance is reflected, and the evaluation precision is improved; and a health interval judgment rule is established, so that real-time comprehensive evaluation can be realized, faults can be accurately positioned, anomalies can be recognized in advance, a basis is provided for maintenance, and the intelligent level of power operation and maintenance and the fault prevention capability are improved.

The invention relates to a long-gap discharge leader development speed measurement method based on radiated electromagnetic wave detection. The method comprises a set of high-frequency antennas and a high-speed oscilloscope and a long-gap discharge leader development speed calculating method. The method adopts a certain antenna arrangement form; long-gap discharge radiated electromagnetic wave pulse time is detected simultaneously through the plurality of antennas; leader head position is positioned according to time difference of a signal arriving at different antennas; and furthermore, the long-gap discharge leader development speed can be calculated. The method can effectively improve the measurement precision of the discharge leader development speed, and resolution reaches the level of 0.1 ns.

The invention relates to the technical field of wind field construction, and provides a low-altitude three-dimensional real-time wind field construction method and system based on unmanned aerial vehicle data inversion, and the method comprises the steps: collecting the multi-dimensional data of a flight attitude, a power system, navigation positioning and the like in real time through an unmanned aerial vehicle group in the process of executing a distribution task; and extracting key indexes such as attitude change features, control response deviation features, energy consumption features and the like from the data, inputting the features into a deep neural network with a physical model as a constraint to carry out wind field inversion training, and finally carrying out multi-scale spatio-temporal interpolation on discrete observation points through a Gaussian process regression algorithm fused with the physical constraint. And generating continuous three-dimensional wind field distribution meeting the law of conservation of mass. Dynamic wind field monitoring under urban complex terrains is realized by utilizing the characteristics of high-frequency and wide-coverage operation of the unmanned aerial vehicle, and the problem of insufficient observation data of a traditional weather station in a building dense area is effectively solved.

The invention relates to the technical field of array antennas, and discloses a common-caliber layout-based ultra-wideband array antenna, which comprises a low-frequency unit and a high-frequency unit which are arranged based on a common caliber, and is characterized in that the working frequency of the low-frequency unit covers an fmin-f0 frequency band, and the working frequency of the high-frequency unit covers an f0-fmax frequency band. The low-frequency unit is a broadband dual-polarized antenna, a uniform tight coupling array distributed at equal intervals is formed by adopting a tight coupling principle, and the unit interval is calculated based on a grating lobe suppression condition at the frequency f0. The high-frequency unit is a miniaturized broadband dual-polarized antenna and adopts a sparse array form; the initial unit spacing and the unit number of the sparse array are calculated based on the grating lobe suppression condition at the highest frequency f2 of the f1-f2 frequency band with the side lobe requirement between the f0-fmax frequency bands. The ultra-wideband array antenna gives consideration to full-band array performance, can provide sufficient space for active circuit arrangement, and effectively reduces power consumption and cost.

The invention provides a mining motor no-load and load characteristic test analysis method and system, and relates to the field of intelligent image analysis, a Hall array sensor is arranged on a motor stator tooth portion to collect air-gap magnetic field distribution data, and a high-frequency signal injection method and a wavelet singular value decomposition technology are combined, so that the load characteristic of a mining motor is obtained. The air gap magnetic field distortion degree and the air gap dynamic eccentricity index are accurately calculated, and meanwhile a load dynamic compensation coefficient is generated to correct the motor output torque. Therefore, the dynamic characteristics of the motor in the no-load and load states can be comprehensively reflected, the accuracy of the load capacity evaluation of the mining motor is improved, and potential problems in the operation of the motor can be found in time, so that the performance of the motor is optimized, the service life of the motor is prolonged, and the safety and reliability of mining production are improved.

The invention discloses an intelligent information acquisition method and system for a steel pipe galvanizing production line, and relates to the technical field of information acquisition optimization. An intelligent information acquisition system for a steel pipe galvanizing production line comprises a steel pipe galvanizing production information acquisition module and a steel pipe galvanizing production optimization module. According to the method, the metal vapor concentration, the iron-zinc alloy layer frequency spectrum signal and the zinc liquid temperature data are collected at high frequency, and the dynamic zinc explosion risk coefficient is quantitatively analyzed, so that real-time early warning of a potential zinc explosion event is realized; compared with a traditional method depending on macroscopic temperature or concentration observation, the zinc explosion risk can be recognized in advance, the occurrence probability of zinc explosion accidents is remarkably reduced, and production safety is improved; according to the system, galvanizing production parameters, galvanizing liquid components, production microscopic signals and steel pipe state data can be collected at the same time, full-process and multi-dimensional data coverage is achieved, information integrity is guaranteed, and a reliable basis is provided for production monitoring and analysis.

The invention discloses a track noise control method and system based on active acoustic control, and the method comprises the steps: collecting a track noise signal through a sensor array, and processing the signal through Fourier transform to obtain a spectrum distribution characteristic; judging the type of a noise source according to the spectral distribution characteristics, if the spectral distribution shows high-frequency dominance, determining the noise as wheel-rail contact noise, and if the spectral distribution shows low-frequency dominance, determining the noise as rail vibration noise, and obtaining a noise source contribution proportion; according to the noise source contribution proportion, a dynamically adjusted control signal is obtained; acquiring noise source coupling information which changes in real time from the dynamically adjusted control signal, and determining a fused noise source model; according to the fused noise source model, a least square method is adopted to optimize a control strategy, and an optimized control instruction sequence is obtained; and according to the optimized control instruction sequence, acquiring matching data of the current operation density and speed, and if the effect does not reach the standard, iteratively updating the model to obtain final control output.

The invention discloses a PPP / INS / vision / LIDAR tight coupling navigation method based on multi-system real-time precision service, and belongs to the technical field of navigation and positioning. In order to solve the problem of insufficient real-time positioning precision and reliability in a complex urban environment, the invention provides a hierarchical fusion architecture: firstly, by using original data of an inertial navigation system, a visual sensor and a laser radar, high-precision and high-frequency local pose estimation is generated through tight coupling factor graph optimization; the accumulative error of inertial navigation is effectively inhibited; then, taking the local attitude as observation information, and performing tight coupling factor graph optimization on the observation information, a precise orbit obtained by PPP enhanced service decoding and a GNSS original observation value after clock correction, namely a pseudo range and a carrier phase; multi-source information is deeply fused on the observation value level, the complementary advantages of the sensors are fully played, and finally continuous and reliable centimeter-level high-precision positioning in the urban complex environment is achieved.

An image blur correction device acquires a blur detection signal, and separates it into a high frequency band signal component and a low frequency band signal component using an HPF and an LPF. A high frequency side prediction processing unit acquires an output of the HPF, and a low frequency side prediction processing unit acquires an output of the LPF via a down-sampler. A prediction processing unit updates a filter coefficient of a prediction filter using an adaptive algorithm, and performs linear prediction on the blur detection signal. An adder adds an output of the high frequency side prediction processing unit to an output of the low frequency side prediction processing unit via a up-sampler, and outputs a superimposed output signal. Image blur correction control is performed on the basis of a superimposed output signal.

The invention discloses a fault diagnosis method, system and device based on a first-in first-out strategy and a medium. The method comprises the following steps: dynamically caching cache data of a preset duration according to the first-in first-out strategy through a circular queue; performing wavelet hierarchical compression processing on the cached data to obtain fundamental wave layer data and high-frequency layer data; if the cache data meets a preset condition, feature extraction is carried out on the fundamental wave layer data and the high-frequency layer data, and overload detection features and short circuit detection features are obtained; and inputting the overload detection characteristics and the short circuit detection characteristics into a preset diagnosis model to determine confidence corresponding to each fault type, determining a switch life state based on the switch opening driving signal, and determining a fault diagnosis result based on the confidence corresponding to each fault type and the switch life state. According to the invention, the identification accuracy and efficiency of the transient fault can be improved.

The invention relates to the technical field of load prediction, and provides a power load prediction method and system based on time sequence decomposition and an attention mechanism, and the method comprises the steps: carrying out the adaptive time sequence decomposition of an obtained original load sequence, calculating the sample entropy of each decomposed component, and carrying out the clustering; constructing a group of encoder and decoder networks for each piece of clustered data, performing parallel encoding to extract features, performing serial decoding reconstruction on the features from low frequency to high frequency, and outputting prediction data from low frequency to high frequency step by step; the weight is initialized based on the sample entropy, the trained weight is obtained through optimization in the encoder and decoder network training process, and the predicted value of the power load is obtained through weighted fusion. According to the method, adaptive time sequence decomposition, a weight mechanism guided by sample entropy and an attention-enhanced encoder-decoder structure are introduced, so that multi-component collaborative modeling and cross-scale dynamic prediction are realized, and the prediction accuracy and stability in complex load data and small sample scenes are effectively improved.

The invention discloses a fluctuating gas source-oriented carbon capture process adaptive scheduling and optimization method, and belongs to the technical field of industrial waste gas treatment. According to the technology, the problems of low operation efficiency, high energy consumption and easiness in flooding of a carbon capture system during large-amplitude high-frequency fluctuation of flue gas flow are solved. According to the scheme, the method is characterized by comprising the steps that a bidirectional vortex street flow sensing array is arranged in a flue gas pipeline, and flue gas flow fluctuation amplitude and high-frequency pulsation time proportion in a statistical window are calculated in real time; constructing a target function fused with fluctuation intensity to optimize steam and compressor energy consumption; compensation based on a risk prediction function and a flow component second derivative is carried out on the absorbent circulation flow of the flooding sensitive frequency band; in the flue gas rising period, the pressure set value of the regeneration tower is adjusted according to the flow change rate, and fluctuation propagation is blocked; upon detection of extreme fluctuations, the absorbent flow rate change rate is constrained and compensation is suspended. The method is mainly used for improving the operation stability and energy efficiency of the carbon capture system under the fluctuating gas source condition.

The invention discloses an impedance self-adaptive high-frequency probe, a probe card and a testing method, and belongs to the technical field of semiconductor high-frequency testing. When an existing high-frequency probe is used for a crimping test, a conductive probe body of the existing high-frequency probe generates mechanical deformation due to contact pressure, so that characteristic impedance is deviated, and uneven pressure in an array causes impedance dispersion. The problem is solved by coating the outer side of the conductive needle body with a composite material layer, the composite material layer is composed of an elastic insulating matrix and metal particles dispersed in the elastic insulating matrix, the metal particles have bimodal particle size distribution, and the total integral number is 30%-40%. When the probe is pressed, the composite material layer is subjected to reversible microscopic reconstruction, the effective dielectric constant of the composite material layer is increased along with the increase of the pressure, and the generated impedance change can counteract the impedance drop caused by the deformation of the conductive probe body, so that the self-adaptive stability of the characteristic impedance of the probe under the change of the pressure is realized. The impedance dispersion of the probe array can be remarkably reduced, the consistency and precision of high-frequency testing are improved, and the process compatibility is good.

According to the high-frequency corrosion-resistant pipeline type electromagnetic flowmeter, a first installation area used for installing a high-frequency magnetic field generation assembly is formed between the inner wall of a conductive outer pipe and the outer wall of an insulating inner pipe, and the high-frequency magnetic field generation assembly is not attached to the conductive outer pipe and the insulating inner pipe; when the wear-resistant lining and the insulating inner pipe are damaged to cause seepage of a corrosive medium, the high-frequency magnetic field generation assembly can be prevented from being corroded by the seeping corrosive medium; an isolation shell is arranged in the second installation area, a groove is formed in the end, facing the measurement channel, of the isolation shell, a through hole is formed in the bottom wall of the groove, a ceramic membrane used for sealing the through hole is arranged in the groove, the surface, facing the measurement channel, of the ceramic membrane is flush with the inner wall of the corrosion-resistant lining, and inert conductive liquid is arranged in the isolation shell. The electrode assembly comprises two measuring electrodes which are correspondingly soaked in the isolation shell, and the ceramic membrane prevents a corrosive medium in the to-be-measured liquid from entering the isolation shell, so that the measuring electrodes are prevented from being corroded.

The invention relates to the technical field of GIS partial discharge high-precision three-dimensional positioning, and discloses a multi-stage iteration GIS partial discharge high-precision three-dimensional positioning method, and the technical scheme is characterized in that S1, an electromagnetic simulation model is constructed based on a GIS equipment structure, and the installation position of an ultrahigh frequency sensor is optimized through electromagnetic simulation; s2, performing wide-band adaptive sub-band reconstruction and multi-resolution feature enhancement processing on the acquired signals; s3, calculating three-dimensional focusing energy distribution by adopting a multi-band time inversion method, and extracting candidate discharge positions; s4, screening candidate positions; s5, performing multi-stage hybrid optimization on the screening result to obtain refined three-dimensional positioning coordinates; and S6, outputting a three-dimensional positioning result, and performing performance evaluation based on a confidence index. According to the method, a time delay consistency screening mechanism is introduced, false candidate points which do not conform to an actual signal propagation rule are effectively eliminated, and the accuracy and reliability of a positioning result are remarkably improved.

The invention discloses a data processing method based on an ultrahigh frequency original signal and a storage medium, and relates to the field of data processing, and the method comprises the steps: carrying out the adaptive gain adjustment collection of the ultrahigh frequency original signal, and enabling the signal amplitude to be stabilized in a preset effective interval through the dynamic adjustment of a gain parameter, acquiring initial acquisition data containing complete discharge characteristics; performing time-frequency domain combined noise reduction preprocessing on the initially acquired data, constructing an adaptive threshold function based on signal frequency domain distribution characteristics, and filtering background noise and non-discharge interference signal components; according to the method, the signal amplitude is dynamically stabilized through adaptive gain adjustment, it is ensured that initial collection data completely contains discharge characteristics, the problem of information loss caused by signal fluctuation is solved, the adaptive threshold is constructed based on frequency domain energy characteristics through time-frequency domain combined noise reduction, background noise and interference components are accurately filtered out, and the signal purity is improved.

The invention discloses a tungsten filament copper plating production line control system and method based on digital twinning, and relates to the technical field of photovoltaic material preparation and automatic control. The acquisition module is used for acquiring electrochemical parameters, hydrodynamic parameters, motion state parameters and visual morphological parameters of each line position in real time at millisecond-level high frequency; the real-time digital twinning engine is used for constructing a virtual twinning body comprising a physical geometric model, a multi-physics field coupling model, a real-time quality prediction model and a data driving compensation model; and the man-machine interaction and decision support interface is used for displaying a virtual-real mapping picture, a quality prediction curve, alarm information and an operation instruction recommended by the system in real time. The traditional'black box 'electrochemical process is converted into a visual three-dimensional scene through the digital twin engine, an operator can synchronously observe the plating growth state, anode consumption and bubble distribution of sixteen tungsten filaments on a human-computer interface, and the anomaly positioning time is remarkably shortened.

The invention relates to the technical field of data processing, in particular to a linear motor positioning precision dynamic test and analysis method, which comprises the following steps of: controlling a linear motor to perform full-stroke reciprocating constant-speed scanning, synchronous high-frequency acquisition of positions, current instructions and speed data; resampling according to a fixed position interval space to generate forward and reverse current and speed sequences; utilizing the characteristic that the friction force directions are opposite to counteract the friction component, calculating the resistance characteristic value of each position by combining the two-way speed stability weight, and constructing a resistance topographic map; the magnetic cogging effect and the mechanical anomaly are decoupled through the space gradient and the statistical deviation, and the mechanical anomaly saliency is determined; and a current feed-forward compensation table is generated and written into a driver, and a fault is marked for a saliency threshold exceeding position, so that dynamic testing and analysis of positioning precision are realized. According to the method, the resistance component is accurately separated by combining the current algebraic operation and the bidirectional speed weight, the topographic map is constructed to decouple the tooth socket and the installation abnormity, and the dynamic test precision and the diagnosis practicability are improved.

Logic may generate or detect a communication as a punctured block of orthogonal frequency division multiplex (OFDM) symbols on a carrier with a channel bandwidth of 5 megahertz or less, the punctured block having a first set of highest frequency resource blocks (RBs) of the OFDM symbols punctured or having a second set of highest frequency RBs and lowest frequency RBs punctured. The punctured block may comprise a physical downlink control channel (PDCCH) block, a synchronization signal / physical broadcast channel (SS / PBCH) block, or a downlink bandwidth part (DL BWP) on a carrier with a channel bandwidth of 3 MHz, 5 MHz, or other channel bandwidth less than 5 MHz. And logic may cause transmission of or demodulate and decode the punctured block.

The invention provides a flywheel coupling fused salt energy storage thermal power peak regulation power generation system and an operation method. The method comprises the steps that the operation state of the power generation system is obtained; and according to the operation state, determining a power grid power supply main body and a supplementary power supply main body from the thermal power generating unit, the fused salt energy storage module and the flywheel energy storage module so as to perform peak regulation of the power generation system. According to the method, through multi-dimensional complementation of high frequency-low frequency, short time-long time and power type-energy type of a flywheel energy storage module and a fused salt energy storage module, the seesaw trapping of single energy storage in response speed and duration is broken, the peak regulation rate, depth and safety of a thermal power generating unit are remarkably improved, and meanwhile peak regulation coal consumption and carbon emission are greatly reduced; the collaborative architecture of flywheel stabilization fluctuation, fused salt energy translation and thermal power stable support provides an innovative paradigm for constructing a thermal power peak regulation system with high elasticity, low cost and long service life, and powerfully supports a power grid to consume fluctuating renewable energy sources and realizes dynamic balance of source grid load storage.

The invention relates to a DC power transmission system oscillation suppression method based on a matrix passivity theory. The method comprises the following steps: firstly, establishing a converter admittance matrix under a frequency coupling effect; then, constructing a stability criterion of the direct-current power transmission system based on the admittance matrix of the converter in combination with a matrix passivity theory; and finally, based on the stability criterion of the direct-current power transmission system, adding active damping and passive damping, adjusting corresponding parameters, and suppressing medium-high frequency oscillation of the direct-current power transmission system. The method can solve the problem of dependence on power grid side impedance modeling, constructs the stability criterion of the DC power transmission system by directly analyzing the admittance matrix characteristics of the converter, adapts to the complex situation when the AC grid side operation condition changes, and can completely suppress the medium-high frequency oscillation of the DC power transmission system. An unstable interval of a direct current system is transferred to a high frequency band through active damping, strict stability of the direct current power transmission system in middle and high frequency bands is achieved through passive damping, and the strategy cost is reduced.