39results about How to "Reduce background noise" patented technology

The invention discloses a reservoir bank slope crack identification method based on unmanned aerial vehicle inspection and digital images, and relates to the technical field of reservoir bank slope inspection. 2, image preprocessing: preprocessing the data by adopting processing methods of graying, gray enhancement and bilateral filtering; 3, crack identification: identifying reservoir bank slope cracks in the image by adopting methods of threshold segmentation, edge detection and supervised classification; 4, crack pixel filtering: performing filtering processing on the extracted crack image by adopting morphological closed operation, length filtering and direction filtering; and 5, model fusion: fusing the threshold segmentation model, the edge detection model and the supervised classification model together by adopting a minimum-risk Bayesian probability method. The method shows remarkable applicability and effect in large-range and multi-form crack identification and investigation, and shows high robustness when processing crack images with different scales, shapes and backgrounds, and the accuracy of the method can stably reach more than 90%.

The invention relates to a three-dimensional aquatic vegetation canopy reflection characteristic modeling method based on a real scene. The method comprises the following steps that leaf reflection and transmission spectrums are obtained through calculation of a plant leaf radiation transmission model; in combination with an actual aquatic vegetation scene, vegetation canopy reflection characteristics are described through canopy structure parameters and leaf BRDF; calibrating model parameters by adopting four-flow approximation and linear approximation, and applying the model parameters to approximate solution of vegetation canopy reflectivity; finally, a LuxCoreRender physical rendering engine is used for coupling input parameters such as incident radiation, vegetation canopy reflection factors, water optical attribute parameters and observation geometry, and the vegetation canopy reflectivity is calculated in combination with an aquatic vegetation scene. According to the method, a high-precision three-dimensional aquatic vegetation canopy reflection model is established, remote sensing radiation modeling precision and application value can be improved, an important tool platform is provided for wetland remote sensing monitoring and ecological protection and coastal wetland blue carbon sink function evaluation, and the method has popularization and application prospects.

The invention provides an image classification method based on noise suppression and multi-scale feature fusion, and the method comprises the steps: building a data set, building a fine-grained image classification model, building a loss function, and classifying images. And respectively training, verifying and testing the fine-grained image classification model by using the training set, the verification set and the test set to obtain a trained fine-grained image classification model, and carrying out image classification to obtain a classification result. According to the invention, the noise suppression module and the multi-scale feature fusion module are introduced to reduce background noise and obtain the possibility of fine-grained category discrimination feature representation in foreground regions of different scales, so that the fine-grained feature representation gathers shallow features and deep features, and the accuracy of the fine-grained category discrimination feature representation is improved. And the performance of the model for a fine-grained classification task is improved.

The invention provides a static water low-noise hydrodynamic noise rotation test device which comprises a stepping motor and a speed reducer located below the stepping motor, a rotating shaft of a rotating arm is connected with the speed reducer through a damping device, and a sectional type variable-length suspender is used for connecting a test model and the rotating arm. The stepping motor and the speed reducer are installed on the supporting frame through the double-layer vibration isolation device, and the stepping motor and the speed reducer can push the rotating arm to rotate so as to drive the test model to do large-diameter rotary motion. The test device disclosed by the invention can be used for carrying out a rotation test in a relatively large water pool or a lake or on the sea, and controlling sound radiation of mechanical vibration noise to underwater at the same time, so that background noise is effectively reduced, and measurement of flow-induced vibration noise of a large-scale model is realized.

The invention belongs to an electrochemiluminescence aptamer sensor, and relates to a resonance energy transfer electrochemiluminescence aptamer sensor based on Ag < + > (at) Eu MOF / HOF and application thereof in acetamiprid detection. A rod-like hydrogen bond organic framework is used as a precursor, and lanthanide Eu < 3 + > is doped. The electrochemical luminescence aptamer sensor for resonance energy transfer is prepared by taking Ag < + > as a co-reactant accelerant, synthesizing Ag < + > (at) Eu MOF / HOF as an energy donor of a resonance energy transfer system and taking leaf-shaped CdS (at) Au-cDNA as an energy receptor. The sensor is used for ACE detection, and has a wide linear range and a low detection limit. The prepared novel Ag < + >-coated Eu MOF / HOF electrochemical luminescence material is applied to electrochemical luminescence detection for the first time and used for detecting acetamiprid residues in water, and an effective and convenient strategy is developed for analysis and detection of pollutants in a water environment.

The invention belongs to the technical field of electric vehicle speed reducers, and relates to a PSO-MCKD-based gear early fault diagnosis method, which comprises the following steps: firstly, adaptively optimizing parameters L and T in an MCKD algorithm by applying PSO for an acquired gear early fault signal containing a relatively weak gear early fault signal; based on the MCKD algorithm after parameter optimization, impact component enhancement is carried out on the early fault signal; thirdly, analyzing the enhanced signal by using an envelope spectrum analysis method, and comparing the enhanced signal with a theoretical fault feature; and finally, outputting a diagnosis result. According to the method, the problem that the parameters L and T of the MCKD cannot be optimal at the same time is solved, adaptive optimization is carried out on the parameters of the MCKD by adopting PSO, the problem that early fault features of the gear cannot be accurately extracted is solved, noise reduction is carried out on an original signal by using the optimized MCKD, and envelope spectrum demodulation is carried out to extract the fault features, so that the accuracy of the fault feature extraction is improved. And the efficiency and accuracy of early weak fault feature diagnosis of the gear are improved.

The present invention discloses a method for evaluating bacterial activity based on GelRed dye, wherein metal ions are first mixed with bacterial samples, and then allowed to stand for a certain period of time to obtain a mixed bacterial solution, and then GelRed dye is added to the mixed bacterial solution to mix evenly and then allowed to stand for a certain period of time; ultrapure water is added for centrifugation, the supernatant is discarded, and then Syto9 solution is added for mixing; finally, a fluorescence photometer is used for detection. The evaluation method of the present invention has the characteristics of high sensitivity, rapidity and low toxicity.

The application discloses a sound-absorbing and sound-insulating material and relates to the technical field of sound-absorbing and sound-insulating materials. The sound-absorbing and sound-insulating material is characterized in that PET hollow fibers are used as a framework, PP melt-blown fibers are used as filling materials to form a high-frequency sound-absorbing layer, the PET hollow fibers are used as a framework structure to ensure that the sound-absorbing and sound-insulating material has sufficient strength and stability, and melt-blown cloth fluff is added to the high-frequency sound-absorbing layer to prepare a low-frequency sound-absorbing layer. The PP melt-blown fibers are directly deposited and embedded into the PET fiber framework to form a material with small pores but many pores. The high-frequency sound-absorbing layer and the low-frequency sound-absorbing layer are layered and stacked, and non-woven fabric is arranged on the outer surface to form a novel sound-absorbing and sound-insulating material. The sound-absorbing and sound-insulating material not only has better sound-absorbing performance, but also has improved low-frequency sound-absorbing performance.

The application belongs to the technical field of food safety detection, and particularly relates to a photoelectrochemical aptamer sensor based on a CdS / AuNPs / SnS2 heterojunction and application thereof in detection of zearalenone. The photoelectrochemical aptamer sensor comprises a sensing working electrode and a signal control agent. The sensing working electrode is formed by modifying a CdS / AuNPs / SnS2 heterojunction as a photoactive material on the surface of a conductive glass substrate, and then modifying a capture probe and a signal probe compound in sequence. The signal probe compound is composed of graphene oxide, horseradish peroxidase, gold nanoparticles and a zearalenone aptamer. The signal control agent is a mixed solution of 4-chloro-1-naphthol and hydrogen peroxide. The photoelectrochemical aptamer sensor based on the CdS / AuNPs / SnS2 heterojunction can realize high-sensitivity detection of zearalenone, and has the advantages of stable photocurrent response, high sensitivity, low background signal and strong anti-interference ability.

A sample collection system includes a housing including an air inlet configured to receive an exhaled airflow; a porous sample collection medium disposed within the housing, the porous sample collection medium comprising a sample receiving region; an airflow passage extending from the air inlet through the sample receiving region of the porous sample collection medium; an assay device configured to receive the eluted sample from the porous sample collection medium; and a liquid flow passage extending from the sample receiving region of the porous sample collection medium to the assay device. The porous sample collection medium includes one or more reagents disposed on the porous sample collection medium along a liquid flow path.

The invention discloses a solar-blind ultraviolet photoelectric artificial visual synaptic device based on an aluminum-yttrium-nitrogen thin film and a preparation method of the solar-blind ultraviolet photoelectric artificial visual synaptic device, and relates to the field of novel micro-nano electronic materials and functional devices. The synaptic device comprises a substrate, a bottom electrode, a solar blind ultraviolet light response resistive layer and a top electrode, the bottom electrode is arranged on the substrate and is used for introducing a solar blind ultraviolet light signal; the solar blind ultraviolet light response resistive layer is arranged between the bottom electrode and the top electrode and used for simulating synaptic plasticity. Wherein the solar-blind ultraviolet light response resistance change layer is made of an aluminum-yttrium-nitrogen film with a photoconductive effect, and has photoresponse to solar-blind ultraviolet light with the wavelength of 200-280nm; the bottom electrode is a transparent conductive electrode; an electric signal is input through the top electrode and the bottom electrode, and a solar blind ultraviolet light signal is input through the transparent conductive bottom electrode; the synaptic device provided by the invention can realize various photoelectric synaptic plasticity under the excitation of an electric signal and a solar-blind ultraviolet light signal, so that the simulation of an artificial visual function is realized on the basis of the synaptic device.

This invention discloses a multi-target combined detection kit for detecting vitiligo-related factors and its preparation method. The kit includes multiple detection reagents, each comprising a solid-phase capture carrier, a labeled antibody solution, and an antibody gradient concentration calibrator. The antibodies in the labeled antibody solution and the antibody gradient concentration calibrator are CXCL9, CXCL10, CCL20, and HMGB1. This kit enables the simultaneous determination of the levels of CXCL9, CXCL10, CCL20, and HMGB1 in a sample using a unified detection platform and in a single detection experiment. The kit offers advantages such as high sensitivity, a wide linear range, and fast detection speed, accurately detecting target molecules at low levels in samples and meeting clinical requirements for detection accuracy and efficiency.

This invention provides a split-type cold screen for an infrared detector and its assembly method. The split-type cold screen for the infrared detector includes a cold screen body and matte fins. The assembly method includes: applying a black coating to both the cold screen body and the matte fins, pre-baking them, then initially assembling the pre-baked cold screen body and the matte fins, and finally baking the pre-assembled cold screen to complete the assembly. This invention places the cold screen assembly step after pre-baking and before baking, using the bonding force of the black coating to connect the cold screen body and the matte fins. This eliminates the adhesive bonding step in the split-type cold screen assembly process, solving the problem of using adhesives to bond the cold screen body and matte fins in the split-type cold screen assembly process. This ensures good mechanical reliability of the cold screen assembly in low-temperature vibration environments and also improves the performance of the detector components and the efficiency of the cold screen assembly process.

The invention provides an in-situ imaging method capable of realizing specific modification visualization of target nucleic acid in cells. According to the method, only three single-stranded nucleic acids with different functions, namely a single-stranded nucleic acid bracket assembled with a specific modification component for identifying nucleic acid, a single-stranded nucleic acid primer 1 and a single-stranded nucleic acid primer 2 capable of specifically targeting a target nucleic acid sequence, are needed, so that targeting of specific modification and a specific nucleic acid sequence can be completed, and a signal amplification system for rolling circle amplification is formed; the method has the characteristics of simplicity, convenience and economy, and has extremely high commercial potential. A long single-stranded nucleic acid with a repeated sequence is formed after in-situ rolling circle amplification, a specific fluorescent probe can be enriched for imaging, and an imaging signal point at the position is the spatial position of a specific modification site of the target nucleic acid. The method can be shared with protein immunofluorescence, simultaneous imaging of multiple nucleic acids can be achieved, nucleic acid imaging of different subspace localization can be achieved, and the method becomes a multifunctional solution capable of being applied to multiple scenes.

The invention provides a pumping detection TAP instrument, and relates to the field of transient dynamics and catalytic surface and interface research. The pumping detection TAP instrument provided by the invention comprises a sample injection pulse system, a micro reactor, a liquid nitrogen cooling system, a mass spectrum system and a vacuum system. Through the arrangement, the experiment of continuous pulse or intermittent pulse or pump-probe pulse of one or two gas molecules can be realized, so that surface chemistry and microdynamics information related to element steps can be obtained.

The invention provides a coronary artery image segmentation method based on improved nnUnet, and relates to the field of medical image segmentation. The method comprises the following steps: acquiring a training data set containing a CTA image of a normal coronary artery blood vessel and a CTA image of a lesion coronary artery blood vessel; adjusting the window width and the window level of the image; re-sampling the interlayer spacing of all the images in the training data set; a preprocessing module is constructed, the preprocessing module comprises an equalization sub-module and a filtering sub-module, and each layer of two-dimensional image of all CTA images in the training data set is preprocessed through the preprocessing module; constructing a segmentation model, and training the segmentation model by using the preprocessed image; and after a to-be-processed CTA image passes through the preprocessing module and the trained segmentation model, a segmentation result image is obtained. According to the method, the accuracy and continuity of coronary artery segmentation are improved, and the requirement of three-dimensional reconstruction of the coronary artery CTA image can be widely met.

The present invention discloses a vehicle-mounted device power amplifier control method and system, which relates to the field of signal processing technology. It includes automatically detecting vehicle type and configuration information, receiving user mode instructions through a user interface, and the user setting the audio mode according to personal preferences; obtaining the working state parameters of the vehicle in real time, and then using a digital signal processor or a microcontroller to dynamically adjust the power amplifier parameters according to the working state parameters of the vehicle type or user instructions; obtaining the audio signal data of the music device and preprocessing the audio signal data; the present invention uses DSP technology to perform deep preprocessing on the audio signal; and then uses the GS-EKF method and LMS algorithm to achieve dynamic adjustment of the power amplifier parameters, solving the problem that the fixed gain power amplifier design in traditional vehicle-mounted multimedia devices cannot adapt to the changes in sound quality requirements in different vehicle models and usage environments.

The invention provides a method for detecting perfluorinated and polyfluorinated alkyl substances in human early pregnancy villus tissues and application, and relates to the technical field of biological detection.The method comprises the following steps that a sample is obtained, digestive juice, a process monitoring standard solution and an internal standard mixed solution are added into the sample, then zirconium oxide grinding beads and methyl alcohol are sequentially added, homogenate, ultrasonic treatment and centrifugation are conducted, and the content of perfluorinated and polyfluorinated alkyl substances in the human early pregnancy villus tissues is obtained; sediment and supernate are obtained, and the supernate is collected; adding methanol into the sediment again, carrying out homogenization, ultrasonic treatment and centrifugation again to obtain supernate, and mixing the supernate obtained in the two steps to obtain an extracting solution; diluting the extracting solution, and carrying out WAX solid-phase extraction; and performing quantitative detection on the perfluoro and polyfluoroalkyl substances in the liquid to be detected in a multi-reaction monitoring mode by adopting a high performance liquid chromatography-tandem mass spectrometry method. The method can realize detection of human early pregnancy villus tissues, and has high sensitivity, high selectivity, high accuracy and strong anti-interference capability.

A microphone noise reduction circuit and a conference microphone are disclosed. The noise reduction circuit includes a decoding unit, a DSP unit, and a microphone array. The output terminal of the decoding unit is connected to a first terminal of the DSP unit, and the microphone array is connected to a second terminal of the DSP unit. The microphone array is used to collect audio data, the DSP unit is used to reduce noise in the audio data and output the noise-reduced audio signal, and the decoding unit is used to decode or encode the noise-reduced call audio signal. This embodiment of the invention, by combining a microphone array, a DSP unit, and a decoding unit, effectively reduces background noise and echo interference, improves the clarity and recognition accuracy of the audio signal, and significantly improves the audio processing quality.

The invention provides a wind tunnel structure, relates to the technical field of aeroacoustics, and aims to solve the technical problem that the wind tunnel structure is difficult to effectively reduce the background noise of a wind tunnel and suppress the low-frequency pressure pulsation of the aeroacoustics wind tunnel. The wind tunnel structure comprises a first frame and a second frame which are arranged in parallel in a spaced mode, the first frame and the second frame are connected through a plurality of straight rods, the first frame and the second frame are each of a rectangular structure, and the area defined by the first frame is larger than that defined by the second frame; the first frame comprises two opposite first rods and two opposite second rods, and the second frame comprises two opposite first sections and two opposite second sections; the wind tunnel structure further comprises two first wall plates, two second wall plates and a plurality of first adjusting structures. One end of each first wall plate is hinged to the first section, and the other end of each first wall plate is connected to the first rod through at least one first adjusting structure. The wind tunnel is simple in structure and can effectively reduce the background noise of the wind tunnel.

The invention discloses a preparation method and application of an electrochemical biosensor based on a self-protection palindromic DNA (deoxyribonucleic acid) nanosphere. The electrochemical biosensor comprises an HP-trigger, a target miRNA (micro ribonucleic acid) and a self-protection DNA palindromic nanosphere core structure. The DNA nanosphere is of a three-dimensional spherical structure formed by four single-stranded DNAs through complementary base pairing, the three single strands of SEP-Sa, SEP-Sb and SEP-Sc contain 12 nt palindromic cohesive ends and 15 nt single-stranded arms, the single strand of HP-Sc contains 35 nt prolonged hairpin structures, the structural stability is enhanced through a self-protection mechanism of a palindromic sequence, and structural dissociation triggered by target miRNA is achieved. The target miRNA is combined with an HP-Sc hairpin structure to trigger conformational change, release complementary chains and dissociate palindromic nanospheres, and exposed DNA sites are combined with MB to generate electrochemical signals, so that a novel tool is provided for early diagnosis of tumors.

The invention provides an activatable signal amplification detection technology based on fluorescent dye tyramine and application of the activatable signal amplification detection technology in nucleocapsid protein detection. The problems of insufficient detection sensitivity, poor specificity, loud background noise and the like in a traditional tyramine signal amplification technology are solved by adopting a dual amplification detection technology (combining with an aptamer or an antibody to improve specificity and utilizing tyramine to realize signal amplification) capable of activating tyramine signal amplification and ROS response; and the detection difficulty caused by the own characteristics of the nucleocapsid protein is avoided. According to the technology, the sensitivity, specificity and accuracy of detection are remarkably improved, different virus nucleocapsid proteins can be effectively distinguished, background noise is reduced, a reliable method is provided for SARS-CoV-2 nucleocapsid protein detection, meanwhile, a basis is provided for researching the influence of different structures on the detection effect, and the technology has wide application prospects in the fields of clinical diagnosis and scientific research.

The invention relates to a training method, an audio-visual segmentation method, an electronic device and a storage medium, and the method comprises the steps: obtaining a training sample which comprises an audio signal, an image, a target semantic tag and a segmentation tag; extracting audio features and image features, and performing self-attention enhancement on the audio features based on the target semantic tag to apply target semantic consistency constraint to obtain enhanced audio features; performing cross attention reweighting on the unenhanced audio features based on the guidance of the enhanced audio features to obtain target pointing audio features; bidirectional interactive fusion is executed based on the image features and the target pointing audio features, and a sparse self-attention network is adopted in the image feature fusion process to suppress unmatched image region response; generating a segmentation prediction result based on the fused image features and audio features, and training to obtain an audiovisual segmentation model; and inputting a to-be-processed video into the trained audio-visual segmentation model, and outputting a segmentation result. The image segmentation accuracy of the sounding target can be improved.

The application discloses a probe and a method for detecting micro residual lesions. The probe for detecting micro residual lesions is a four-layer encrypted imbricated hybrid capture probe, wherein two layers of probes are wild-type probes, and two layers are mutant probes. The nucleic acid sequence of the wild-type probe comprises the sequence described in SEQ ID NO. 1-SEQ ID NO. 74, and the nucleic acid sequence of the mutant probe comprises the sequence described in SEQ ID NO. 75-SEQ ID NO. 149. The four-layer encrypted imbricated hybrid capture probe for detecting micro residual lesions is designed, a micro residual lesion molecular detection method with high sensitivity and good specificity is provided, the low-frequency mutation capture efficiency is high, and the detection limit of the ct DNA mutation frequency containing micro residual lesions can be as low as 0.005%.

This invention discloses a probe for detecting Ox-LDL and its applications, belonging to the field of Ox-LDL detection technology. This invention provides a variety of probe molecules that can specifically and sensitively recognize Ox-LDL and effectively distinguish between high-density lipoprotein (HDL), low-density lipoprotein (LDL), and Ox-LDL. The probe exhibits significantly enhanced fluorescence in the presence of Ox-LDL, while showing almost no fluorescence in pure PBS solution, with low background noise. The probe of this invention is a molecular probe, simple to prepare, stable, easy to store and detect, and can be used as a reagent for detecting Ox-LDL in peripheral blood, cells, and tissues, a lipoprotein identification reagent, an early diagnostic reagent for atherosclerosis, and an early diagnostic reagent for fatty liver.

The invention relates to the technical field of meteorological ecological observation, biological safety detection, environment monitoring and the like, and discloses a biological aerosol automatic identification system and method based on ultraviolet fluorescence imaging, and the system comprises an environment control module, an aerosol sampling module, an adhesive tape transmission module, an ultraviolet microscopic imaging module and a control and data processing module. The environment control module is used for constructing a constant-temperature closed optical darkroom; the aerosol sampling module captures biological particles in the air on the surface of a carrier adhesive tape by utilizing an acceleration nozzle and an inertial impact principle; the adhesive tape transmission module realizes automatic transfer of a sample from a sampling position to a detection position through stepping control; the ultraviolet microscopic imaging module adopts a coaxial incident light path structure and is matched with a dichroic spectroscope and an optical filter to separate exciting light and fluorescence signals. According to the invention, full-process automatic in-situ monitoring of the biological aerosol is realized, the problem of background interference is effectively solved, and the real-time performance of detection and the recognition accuracy are improved.

The present application relates to a kind of adaptive multi-angle variable light field's surface defect detection composite light source system, belong to surface defect optical detection technical field, including imaging unit, composite lighting structure and control module;Composite lighting structure contains coaxial integrated annular bright field illumination component and circumferential discrete independent controllable dark field illumination unit, dark field unit has incident angle adjustment capability, can form multiple illumination modes;Control module is through calculating the actual incidence angle of curved surface, defect contrast and other parameters Adaptive selection optimal illumination scheme, realize the integration process of dark field preliminary examination and bright field precision measurement;The present application significantly improves the detection stability and detection efficiency of the microdefect of curved surface, can adapt to the detection needs of different curvature, different direction defects.

The invention belongs to the technical field of power equipment state monitoring and artificial intelligence, and particularly relates to a transformer fault diagnosis method and device based on an interpretable technology, equipment and a medium. According to the dynamic integral gradient algorithm provided by the invention, the baseline for removing the key features is dynamically generated for each sample, and the gradient weight is dynamically adjusted, so that an explanation result with relatively high fidelity can be obtained under the condition of relatively low gradient calculation times. Therefore, a visual fault diagnosis basis is provided for operation and maintenance personnel, the opaque problem caused by the black box model can be relieved, the interpretation efficiency is improved, and the real-time requirement of an online monitoring system is better met. And a cascade architecture combining lightweight shunting with expert diagnosis is designed. The first-level expert model quickly processes a large number of normal samples and performs preliminary classification at a low calculation cost, and the second-level expert model focuses on fine diagnosis of a specific frequency band, thereby being beneficial to realizing high-precision and low-delay balance and adapting to edge deployment.

The invention provides a light guide plate surface defect detection method based on an LGP-DETR target detection model, and the method comprises the following steps: constructing an LGP-DETR target detection model having a backbone network unit, a neck network unit and a head network unit, the backbone network unit being constructed based on a FasterNet neural network architecture, the neck network unit being constructed based on a FasterNet neural network architecture, and the head network unit being constructed based on a FasterNet neural network architecture; the neck network unit comprises a plurality of standard convolution modules, a DtransFusion module, a DySample module, a RepC3 module and an OrthoC3 module, wherein the DtransFusion module is combined with a deformable attention mechanism and a Transform encoder structure; the DySample module is used for lightweight dynamic upsampling; the RepC3 module has a re-parametric convolution characteristic; the LGP-DETR target detection model is trained; acquiring a surface image of the light guide plate, and inputting the surface image into the trained LGP-DETR target detection model for defect detection; and outputting surface defect information of the light guide plate. The method effectively overcomes the detection difficulties of small targets, low contrast, complex texture backgrounds and the like in the surface defects of the light guide plate, remarkably improves the detection precision, and effectively improves the detection speed.

The invention discloses a transmitting and receiving channel anti-interference system based on river acoustic tomography flow measurement and a control method thereof, the system comprises a control host and a plurality of groups of independently matched probes, and each group of probes comprises a transmitting transducer and a receiving transducer; adjacent groups of probe receiving / transmitting channels work independently; when each transmitting transducer is vertically arranged, the angle of the vertical directivity of a transmitting signal needs to be greater than 60 degrees; the working frequency band of the receiving transducers in the same group is at least 3% wider than the working frequency band of the correspondingly matched transmitting transducers; the transmitting transducer is arranged above the water on the same shore; and the receiving transducers of the adjacent groups of probes are arranged below the water on the same bank beyond the intensity curve range in which the sound intensity weakening of the transmitting signals of the transmitting transducers is greater than-3dB. According to the system and the method, interference of various factors can be reduced, and the quality of received sound wave signals and the measurement stability are improved.