1311 results about "Signal wave" patented technology

The invention provides a wind generating set fault monitoring method and system based on voiceprint recognition, and the method comprises the steps: collecting gear box voiceprint signal data in real time, recording signal fluctuation caused by gear surface wear, and obtaining an original signal data set containing a frequency spectrum high-frequency component enhancement feature; a time-frequency analysis method is adopted for the original signal data set, non-linear interference of vibration signals is recognized, multi-scale decomposition is carried out, initial wear frequency spectrum narrow-band characteristics and medium-term harmonic components are separated out, and a frequency spectrum component set is obtained; extracting characteristic parameters related to modulation depth abnormal fluctuation from the frequency spectrum component set, identifying a gear pair meshing frequency change rule, and determining a distribution mode of a tooth surface contact noise proportion; and if the feature matching result shows that the deviation between the spectrum high-frequency component diffusion distortion feature and the reference feature library exceeds a threshold value, adding the tooth surface fatigue crack noise feature into the feature library to obtain a target feature library.

The invention relates to the technical field of electromagnetic flowmeter calibration, and discloses an electromagnetic flowmeter online calibration system and an acquisition and storage device. The system comprises a signal acquisition module, a data processing module, an error analysis module, a parameter calibration module and a real-time monitoring module. The signal acquisition module captures an original signal waveform through a multi-channel sensor array and acquires flow signal data to generate a state set; the data processing module uses a wavelet packet transformation and adaptive filtering combined algorithm to reduce noise and extract features; the error analysis module constructs a dynamic time warping error matching model to obtain an error correction coefficient; the parameter calibration module adopts a fuzzy control and proportional integral differential composite strategy, and adjusts excitation current and electrode sensitivity according to an error correction coefficient; the real-time monitoring module establishes a rolling optimization model with time-varying constraints, and generates a calibration instruction in combination with signal stability and power consumption limitation. According to the system, online accurate calibration of the electromagnetic flowmeter is realized, and the measurement accuracy and the equipment operation stability are improved.

The invention discloses a detection and analysis system for an oil-controlling and soothing extract, particularly relates to the field of extract detection, is used for solving the problem of accurate quantitative analysis of complex components, and is characterized in that omnibearing characteristics of a sample are synchronously acquired and captured through multiple spectrums, and the information is fused into a high-dimensional data framework, so that the limitation of a single spectrum is avoided; thirdly, noise is removed through accurate calibration, sparse decomposition and cross-modal verification are combined, and it is ensured that extracted component signals truly reflect chemical characteristics and are not covered by redundant interference; on the basis, a clear signal of a target active component is further separated by utilizing dynamic convolution and an attention mechanism, and irrelevant background influence is eliminated; finally, through segmented modeling and geometric constraint, absorbance change is accurately converted into concentration data, and the concentration data can be kept stable even under the background fluctuation or nonlinear condition, so that the quantitative inversion error of the active component is reduced under the scene of background signal fluctuation or non-uniform optical path, and the accuracy of a determination result is improved.

The invention provides a baseband radio frequency signal data feedback processing method based on vector modulation, and the method comprises the steps: firstly receiving a baseband signal data set transmitted by a target radio frequency link in a preset frequency band, and the baseband signal data set comprises a plurality of signal frame original modulation parameters and corresponding radio frequency feedback signal waveforms; calculating a feedback error index composed of a phase offset, an amplitude distortion factor and a spectrum leakage factor according to a radio frequency feedback signal waveform, quantifying a modulation error, carrying out time-frequency domain conjoint analysis on the feedback signal waveform, extracting an error feature vector, inputting the error feature vector into a pre-training model for cross-frame correlation learning, and carrying out the correlation learning; according to the method, a dynamic adjustment parameter sequence containing a time sequence dependency relationship is generated, and finally a closed-loop feedback control link is constructed based on the dynamic adjustment parameter sequence and original modulation parameters, so that precise processing and optimal control of baseband radio frequency signals are realized, and the signal transmission performance is effectively improved.

The invention discloses a GPS interference phased array monitoring direction-finding antenna system for a 1575 frequency band, and relates to the technical field of intelligent antennae, comprising a data integration module for integrating data of satellite ephemeris, carrier attitude and airspace coverage through a weighted average method and generating an environment parameter set, a prediction calibration module for predicting the data of the satellite ephemeris, the carrier attitude and the airspace coverage through a weighted average method and generating an environment parameter set, and a direction-finding antenna module for performing direction-finding on the environment parameter set. The phase drift prediction module is used for inputting an environment parameter set into a bidirectional LSTM network, obtaining a phase drift prediction value, carrying out nonlinear calibration on the phase drift prediction value by adopting a Kalman-particle hybrid filtering algorithm, and synchronously monitoring an IQ signal by utilizing a closed-loop feedback mechanism, and the beam generation module is used for carrying out orthogonal modulation and radio frequency up-conversion processing on the IQ signal, and outputting the processed IQ signal. According to the method, the bidirectional LSTM network is combined with the Kalman-particle hybrid filtering algorithm, so that phase drift caused by factors such as carrier vibration and the like can be accurately predicted and calibrated in real time.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a reference signal from a network node. The reference signal may be associated with a beam, of a set of beams. Each beam of the set of beams may be associated with a respective beam index. The UE may determine a probability associated with an adjustment of the beam. The probability may indicate whether the beam will change over a duration from a first beam associated with a first beam index to a second beam associated with a second beam index based on the reference signal. The UE may transmit an indication of the probability associated with the adjustment of the beam to the network node.

An electronic device may be mounted to a main body of a removable case. The case includes a cover that rotates between open and closed positions. The device may convey wireless data and / or a control signal with the removable case over radio-frequency connectors, near-field communications (NFC) coils, connector electrodes, and / or wired data connectors. The removable case may relay the wireless data between the electronic device and a communications satellite in space. The case may include a phased antenna array in the cover. In the open position, the cover may point the phased antenna array towards the sky. The removable case may include beamforming circuitry in the cover and coupled to the phased antenna array. The control signal may control the beamforming circuitry to produce, using the phased antenna array, a signal beam oriented towards the communications satellite.

The embodiment of the invention provides a transformer defect detection system based on voiceprint detection and a method thereof. The method comprises the following steps: firstly, acquiring a sound wave signal of a detected transformer collected by a sound wave sensor, then, carrying out time-frequency analysis on the sound wave signal to obtain voiceprint characteristic parameters, then, carrying out local waveform characteristic extraction on the sound wave signal to obtain a sequence of sound wave fragment signal waveform characteristic vectors, and finally, carrying out local waveform characteristic extraction on the sequence of the sound wave fragment signal waveform characteristic vectors. The voiceprint characteristic parameters are integrated into a sequence of the sound wave fragment signal waveform characteristic vectors to obtain a voiceprint characteristic embedded guiding sound wave signal global waveform characteristic vector, and finally, whether the detected transformer has a fault or not is determined based on the voiceprint characteristic embedded guiding sound wave signal global waveform characteristic vector. Therefore, transformer fault detection and identification can be realized.

The invention discloses a communication link switching method and a related device, channel quality is calculated by adopting multiple channel quality indexes of links, the problem of wrong switching caused by fluctuation of a single index can be effectively avoided, a link switching threshold value and a switching judgment period are updated according to the multiple channel quality indexes of each link in a preset time window, and the switching efficiency is improved. According to the method, the link switching threshold and the switching judgment period can adapt to signal fluctuation in a low-altitude complex environment, the error switching rate and the communication interruption risk are reduced, unnecessary frequent switching can be avoided, and resource consumption is reduced.

The invention discloses an ad hoc network communication system without a signal area, particularly relates to the technical field of wireless communication, and is used for solving the problem that a connectivity critical state caused by node density or mobility change in a low-density network is not fully considered in an existing dynamic routing protocol. The network connectivity critical state is pre-judged by acquiring node position coordinates and communication radiuses in real time and combining the average node spacing and the dispersion in the moving direction; screening a high-priority detection node based on an obstacle avoidance cooperative angle variance and a virtual pheromone concentration in a critical state, and adaptively adjusting a detection message sending frequency according to a node moving speed; constructing a path stability evaluation model by fusing the link survival duration, the node residual energy and the signal intensity fluctuation rate, dynamically screening a high-stability path as a main transmission link, and taking the rest lists as standby links; and monitoring the signal fluctuation characteristics of the main link in real time, and quickly switching to the path with the optimal comprehensive stability in the standby link in an abnormal state.

The invention relates to the technical field of fault diagnosis, in particular to an SMT production line equipment fault diagnosis method and system based on the Internet of Things, and the method comprises the following steps: obtaining multiple types of signals, aligning a time window, judging that the trend is consistent and fluctuation is synchronous to generate a sudden change event, recognizing an intersection point, extracting a key response position, and outputting an inflection point node number. And constructing a response time sequence and a propagation path, identifying abnormal nodes, and generating a fault traceability result. According to the invention, through time alignment and trend linkage identification of current, temperature and acceleration signals, fusion of trend direction judgment and fluctuation synchronization relation, a cross-equipment linkage sudden change identification mode is established, key response points are extracted through cross positioning of a jump terminal point and a vibration peak value, and a dynamic judgment mechanism of inflection point nodes is formed. In combination with a response sequential sequence and a chain path structure, local signal fluctuation analysis is converted into perception, and the judgment accuracy and traceability of abrupt change abnormity are effectively improved.

The invention provides an anomaly detection method of an ultrasonic gas meter and the ultrasonic gas meter, and relates to the technical field of flow monitoring. The invention provides a more accurate and timely anomaly detection method aiming at the problem that an existing detection method for judging whether an instrument is abnormal or not only by judging flight time of an ultrasonic gas meter is not timely and accurate enough in anomaly response. The method comprises the following steps: exciting a first transducer according to a preset frequency to enable the first transducer to emit an ultrasonic signal; the second transducer receives the ultrasonic signal transmitted by the first transducer and generates an echo signal waveform; and waveform features are extracted from the echo signal waveforms, and if the waveform features do not conform to a preset rule, it is judged that detection of the ultrasonic gas meter is abnormal. In addition, according to different identification results, different processing modes are adopted, the anti-interference capability of the instrument is improved, and the abnormal detection of the instrument is more accurate.

Disclosed are systems, apparatuses, processes, and computer-readable media for wireless communications. For example, an example of a process includes transmitting, to a reconfigurable intelligent surface (RIS), a plurality of reference signal beams in a plurality of directions. The process may further include receiving, from the RIS, a plurality of reflection reference signal beams in the plurality of directions based on a plurality of backtracking reflection coefficients. The process may include measuring a signal strength of each reflection reference signal beam in each direction of the plurality of directions for each backtracking reflection coefficient of the plurality of backtracking reflection coefficients. The process may further include determining, basing on measuring the signal strength, a selected beam direction from the plurality of directions and a selected backtracking reflection coefficient of the plurality of backtracking reflection coefficients.

The invention discloses a host USB structure verification management system based on model fusion, and particularly relates to the field of computer security. The system comprises a data acquisition layer for acquiring a protocol data packet, an electrical signal waveform and equipment logic state information of a USB interface in real time, and generating a standardized multi-modal data stream through time alignment processing; the feature extraction layer is used for extracting modeling features from the standardized multi-modal data stream and encoding the modeling features into a structured matrix; the model fusion layer is used for fusing and outputting joint verification confidence through a protocol rule model, an anomaly detection model and a simulation model; the decision management layer executes a three-level verification strategy in sequence; the user interaction layer provides a visual monitoring and manual feedback interface and supports dynamic model replacement. According to the method, the structural legality of the USB equipment is verified through multi-model cooperation, real-time monitoring and risk level-to-level management of the USB equipment are achieved, the safety and compliance of the host terminal are improved, and the method is suitable for enterprise-level USB equipment protection scenes.

The invention relates to the technical field of physical health data analysis, in particular to a teenager physical training method and system based on data analysis, and the method comprises the following steps: dividing a load signal into a low-frequency band, a bandwidth frequency band and a high-frequency band based on the load intensity data in teenager training, analyzing the long-term change trend and fluctuation range of the load of the low-frequency band, and calculating the long-term change trend of the load of the high-frequency band; stability parameters are calculated in combination with bandwidth frequency band signal fluctuation, the high-frequency-band short-time load change rate and change rate distribution are analyzed, and a frequency band distribution parameter set is obtained. According to the invention, through load signal multi-band decomposition and parameterization processing, independent calculation and comprehensive analysis of load characteristics are realized, the dynamic change capture capability is enhanced, and through association of cumulative load and time distribution characteristics, dynamic interaction data support is provided, and load risk points and distribution areas are accurately identified. The intensity, time and frequency adjustment strategies are optimized, load balance and action coordination are achieved, overload and deviation risks are reduced, and the scientificity and controllability of teenager training are improved.

The invention discloses a signal detrending method based on sliding window statistics and dynamic wave crest correction. The method comprises the step of realizing accurate extraction of signal trend and fluctuation characteristics through a double-window dynamic adjustment mechanism of a mean value window and a standard deviation window. A detection threshold value is dynamically adjusted by analyzing the change trend of the historical wave crest amplitude, and the real-time tracking capability of signal fluctuation is ensured; meanwhile, different parameter configurations are preset for different application scenes, the problem of missing detection or misjudgment generated when the amplitude of a fixed threshold algorithm changes suddenly is solved, and the wave crest recognition accuracy is improved. Based on a dynamic threshold algorithm, wave peak start and end points are automatically identified, a linear interpolation technology is adopted to calculate slope of each interval, fitting parameters are dynamically adjusted through residual analysis, and finally low-frequency trend terms and high-frequency characteristic components are effectively separated through difference operation of original signals and fitting signals. The problem of fitting deviation caused by non-uniform sampling can be effectively solved.

The invention discloses a sleep staging method and system based on multimode signal fusion and context awareness. The sleep staging method based on multimode signal fusion and context sensing comprises the following steps: acquiring a multimode physiological data set; performing multi-scale feature extraction on the multi-modal physiological data set to obtain a multi-scale feature set; fusing the multi-scale feature set based on a lightweight model to obtain a fused feature set; classifying the fused feature set, and obtaining a sleep staging result based on a classification result; wherein the multi-scale feature extraction of the multi-modal physiological data set comprises the following steps: segmenting the multi-modal physiological data set into a frame sequence set; and performing historical context feature extraction, future context feature extraction simulation and timestamp feature extraction on the frame sequence set to obtain a context feature set. In this way, the staging continuity can be enhanced, and the misjudgment rate caused by burst signal fluctuation is reduced.

The invention relates to the technical field of water level measurement, in particular to a water level precision measurement method, system and equipment applied to a water conservancy project, and the method comprises the steps: obtaining an electromagnetic wave signal emitted to the water surface by a radar water level gauge in real time, recording the electromagnetic wave signal as an emission signal, and obtaining an echo signal received at each measurement moment; water level data, measured by the radar water level gauge through the received echo signals, at each measurement moment are obtained; calculating a signal fluctuation degree and an energy loss ratio of each measurement moment, determining a first evaluation value, a second evaluation value and a water level fluctuation degree of each measurement moment, and obtaining an interference coefficient of each measurement moment; and correcting the water level data based on the water level data and the disturbed coefficients of each measurement moment and a plurality of measurement moments before the measurement moment to obtain the corrected water level data of each measurement moment. The interference influence of the multipath effect, noise and water surface fluctuation on the echo signal can be reduced, and the precision of the radar water level gauge on the water level measurement result is improved.

The invention discloses a window-based decoupling short-time fractional Fourier transform time-frequency analysis method. The method comprises the following steps: S1, acquiring non-stationary signal data generated under power quality disturbance in a power grid; s2, segmenting the non-stationary signal into a plurality of parts based on signal waveform characteristics, and setting an initialized virtual window function for discrete short-time fractional Fourier transform, wherein the window function only provides an interface for calling of a specific window function; s3, calling different window functions for each segmented sub-segment signal to obtain windowed sub-segment signals under a specific window function; and S4, discrete fractional Fourier transform is applied to the sub-segment signals obtained in the step S3 to obtain time-frequency results of the sub-segment signals under different windows, and finally, frequency spectrums of the sub-segment signals are spliced according to a time sequence and output by an oscilloscope. Based on the characteristics of non-stationary signals generated under power quality disturbance in a power grid, different window function analysis signals can be called in one task by setting a virtual window function interface, and the window-based decoupling short-time fractional order Fourier transform time-frequency analysis method is formed. According to the method, the coupling between fractional Fourier transform and a specific window is reduced, the expandability of a program is improved, and more accurate signal local spectrum features can be obtained.

The invention relates to the technical field of biological consciousness state monitoring, in particular to an emergency patient consciousness state monitoring system based on a bio-electricity signal, and the system obtains a theta rhythm signal, an alpha wave signal and a gamma wave oscillation signal through an electroencephalogram signal acquisition module and a signal extraction module; obtaining an effective phase amplitude coupling event and an occurrence time position thereof through a phase amplitude coupling event time position positioning module; based on a patient consciousness state monitoring module, obtaining a patient consciousness state monitoring index, and fitting the patient consciousness state monitoring index with the time sequence to complete patient consciousness state monitoring. By means of the method, the theta-gamma cross-brain region phase amplitude coupling (PAC) event can be accurately positioned, the limitation that space-time positioning of the PAC event is fuzzy and dynamic tracking lags in the traditional technology is broken through, millisecond-level high-resolution monitoring of the consciousness state of an emergency patient is achieved, and a quantifiable neural electrophysiology basis is provided for real-time intervention of disturbance of consciousness.

The invention relates to a multi-modal fusion pipeline damage positioning method, which comprises the following steps of: uniformly arranging piezoelectric transducer arrays along the circumferential direction of a pipeline, generating non-frequency dispersion L (0, 2) and T (0, 1) guided waves respectively excited by 70kHz sine pulses as excitation signals, and unidirectionally spreading the excitation signals along the pipeline; the method comprises the following steps: acquiring reflection echoes at a to-be-measured section of a pipeline, and performing matched filtering, omega-k domain filtering and circumferential modal decomposition on the reflection echoes to obtain two modal components in an L (0, 2) mode and a T (0, 1) mode; performing back propagation and focusing imaging on each modal component to obtain imaging results under two modals L (0, 2) and T (0, 1); and fusing the imaging results in the two modals to obtain a multi-modal fusion pipeline damage image. Compared with the prior art, the method has the advantages that the problem that sensitivity of different defect types is difficult to consider due to single-mode optimization and the problems of signal waveform distortion and energy dispersion existing in multi-mode signals are solved.

A method (1900) by a first radio node (205, 210) includes receiving (1902), from a second radio node (205, 210), beamforming information comprising at least one parameter related to at least one spatial property of at least one reference signal beam. In particular, the beamforming information related to the at least one spatial property may include at least one of a beam configuration, a spatial correlation between two or more reference signal beams, and / or a capability related to beamforming at the second radio node.

The invention discloses a distribution box operation state monitoring method and system, and relates to the field of distribution boxes, and the system comprises an acquisition module which is used for collecting current and voltage signals of each loop in a distribution box, surface temperature distribution of a box body and opening and closing state signals of a cabinet door, and converting the collected analog signals into a digital signal sequence; the extraction module is used for receiving the digital signal sequence and extracting a signal fluctuation feature, a temperature field distribution feature and a state signal change feature to generate a three-dimensional feature set; the system can obtain loop electrical parameters, box body temperature and cabinet door state in real time, accurately analyze operation characteristics to deduce state trend, quickly position defective loop components and influence range in case of abnormity, scientifically evaluate health level, timely give an early warning, synchronously disconnect power supply of associated equipment in case of severity, effectively reduce fault shutdown, and improve work efficiency. The power utilization safety and the maintenance efficiency are improved, and stable operation of the distribution box is guaranteed.

The invention discloses a power distribution network fault early warning method and system based on online monitoring, and relates to the field of fault early warning, and the method comprises the steps: continuously collecting real-time electrical signals; signal waveform prediction of the real-time electrical signal is completed according to the real-time signal prediction result, and whether an early fault signal exists in the target power distribution network is judged; if the target power distribution network has the early fault signal, obtaining power distribution network information, environment prediction data and geographic position data; constructing a topological structure of the power distribution network, and extracting early fault information of the target power distribution network; constructing an icing evolution model of the target power distribution network; completing fault risk coupling between the icing evolution model and the early fault information; and carrying out risk accumulation analysis on the topological structure of the power distribution network, and outputting fault early warning information of the target power distribution network according to a risk accumulation analysis result. According to the invention, the power distribution network fault early warning precision and efficiency can be effectively improved.

The invention relates to the field of data analysis in electronic warfare simulation, in particular to a multi-target interference effect real-time analysis method and system in electronic warfare simulation, and the method comprises the steps: building a dynamic multi-path channel model through obtaining multi-path propagation parameters of all interference targets in a target region; simulating a time domain superposition process of an interference signal waveform and a real signal waveform at a receiving end according to the dynamic multi-path channel model to obtain a receiving end synthetic signal and extract signal characteristic parameters; carrying out weighted fusion on the signal characteristic parameters to obtain a dynamic interference efficiency value of the interference target; according to a comparison relationship between the dynamic interference efficiency value and a preset interference efficiency threshold value, adjusting an emission parameter; and when the dynamic interference efficiency value of the interference target is greater than or equal to a preset interference efficiency threshold value, outputting the emission parameter as an interference strategy parameter. The problems of signal misalignment, one-sided interference evaluation and the like in a complex electromagnetic environment are solved, and the accuracy of interference effect analysis and battlefield adaptability are remarkably improved.

The present disclosure relates to a sensor controller including transmission drivers each having a negative and a positive power supply terminal, each of the transmission drivers being configured to generate a signal waveform transitioning between first potential and second potential and output the signal waveform to a corresponding detection electrode, and an intermediate potential supply unit having a potential generation circuit that includes a voltage source or a capacitive element separate from the transmission drivers, the intermediate potential supply unit being configured to output a voltage from the potential generation circuit at first timings at which a potential of a signal waveform starts to transition from the first potential to the second potential or from the second potential to the first potential, to supply the intermediate potential between the first potential and the second potential to at least one of the positive or the negative power supply terminal.

A chip-scale mode-locked laser including a cavity including a gain medium for amplifying signal electromagnetic radiation (signal) through stimulated emission, the signal comprising a signal wavelength; and a passive or active mode-locking device to enforce pulse formation in the laser. The mode-locking device includes a thin-film waveguide having a thickness on the order of the signal wavelength so as to confine and guide the signal along the thin-film waveguide, and a material comprising a second-order nonlinear susceptibility to enable active or passive mode-locking of the signal. The mode-locking device leads to generation of pulses of the signal outputted from the mode-locked laser.

The invention discloses a wavefront correction system and method for an offshore quantum key distribution system, and relates to the technical field of wavefront correction, and the system comprises a laser, a transmission light path, a redundant light optical antenna, at least three local oscillator light optical antennas, a signal preprocessing module and a wavefront correction module. The laser generates an initial optical signal; the transmission optical path divides the initial optical signal into a local oscillator optical signal and a redundant optical signal, and transmits the local oscillator optical signal, the redundant optical signal and an echo signal; the local oscillator optical antenna transmits a local oscillator optical signal and receives a local oscillator echo signal in a corresponding direction; the redundant light optical antenna transmits a redundant light signal and receives a redundant echo signal in a corresponding direction; the signal preprocessing module preprocesses and corrects the local oscillator echo signal and the redundant echo signal to obtain a target beam signal; and the wavefront correction module calculates a real-time atmospheric turbulence value according to the target beam signal to carry out wavefront correction. The three-dimensional velocity vector component of the carrier can be measured at the same time.

A chip-scale mode-locked laser including a cavity including a gain medium for amplifying signal electromagnetic radiation (signal) through stimulated emission, the signal comprising a signal wavelength; and a passive or active mode-locking device to enforce pulse formation in the laser. The mode-locking device includes a thin-film waveguide having a thickness on the order of the signal wavelength so as to confine and guide the signal along the thin-film waveguide, and a material comprising a second-order nonlinear susceptibility to enable active or passive mode-locking of the signal. The mode-locking device leads to generation of pulses of the signal outputted from the mode-locked laser.

The invention provides a deep sea convergence area characteristic forecasting method and system based on a normal wave theory. The method comprises the following steps: determining a normal wave eigenvalue equation; solving a normal wave eigenequation, and calculating a normal wave eigenvalue of each order from the first order to a set normal wave order upper limit; calculating a normal wave eigenfunction value according to the sound source and the receiving depth; superposing and synthesizing a sound field by using the normal wave eigenvalue and the normal wave eigenfunction value; and calculating the sound propagation loss of the convergence area by using the synthesized sound field so as to obtain the energy and position of the deep sea convergence area. Compared with the prior art, the method has the advantages that the analytical solution form of the normal wave eigenequation is obtained in advance, compared with pure numerical calculation, certain calculation time can be saved, in addition, some function expansion and frequency interpolation technologies can be conveniently combined, a basis is provided for broadband sound propagation and signal waveform forecasting of the deep sea convergence area, and the method has a wide application prospect. The sound field calculation speed of the convergence area is greatly improved, and the method has good calculation precision.