984 results about "Acousto-optics" patented technology

The invention discloses a water quality heavy metal pollution detection method and system based on Raman spectrum.The water quality heavy metal pollution detection method comprises the steps that water body Raman scattering light is collected in situ through a miniature optical fiber probe, and a continuous time sequence spectrum signal flow is generated; wavelet transform is combined with self-adaptive threshold setting, and high-frequency noise and effective spectral signals are separated; dynamically strengthening the characteristic peak of the target heavy metal through a frequency domain characteristic screening module, and inhibiting a water molecule interference peak at the same time; generating a cross-domain fusion feature vector; processing the fusion feature vector through a pre-trained heavy metal concentration prediction model, and outputting concentration prediction values of various heavy metals; a confidence score is dynamically calculated based on a deviation between a current predicted value and historical data distribution, and model parameter update and system calibration are automatically triggered. The method has the advantages that through acousto-optic signal cross-domain fusion and closed-loop self-calibration, the target peak is dynamically strengthened while water molecule interference is inhibited, and the real-time performance, the anti-interference performance and the prediction precision of heavy metal detection are improved.

The invention relates to the technical field of unmanned aerial vehicle detection and recognition, in particular to an unmanned aerial vehicle detection system and method based on vision, laser radar and sound waves, and the system comprises a sensor unit, a data processing fusion unit and a target recognition tracking unit. The data processing fusion unit performs multi-source data alignment and weighted fusion to extract texture, shape and color features of the image, point cloud generates a depth map, sound wave signals are mapped into a two-dimensional feature map, and weights are dynamically distributed based on sensor reliability to generate a unified feature map; the target identification and tracking unit identifies the type of the unmanned aerial vehicle by using the optimized deep learning model and realizes accurate prediction and updating of position and speed states in combination with Kalman filtering, and the decision response unit triggers sound-light alarm and wireless alarm for the non-cooperative unmanned aerial vehicle in real time and transmits target dynamic information to the ground station. And the target detection accuracy of the unmanned aerial vehicle in a complex environment is improved.

The invention provides a tunnel event and warning lamp acousto-optic linkage strategy generation system based on AI decision, and relates to the technical field of intelligent traffic, and the method comprises the steps: collecting tunnel traffic event data, vehicle structured data, vehicle coordinates, vehicle flow, vehicle speed, and brightness data inside and outside a tunnel in real time, so as to obtain multi-source heterogeneous data; according to the multi-source heterogeneous data, taking the data matching degree, the space-time consistency and the event confidence as multi-objective optimization dimensions, constructing a weighted objective function, generating a Pareto optimal solution set through a multi-objective optimization algorithm, screening the solution set based on space-time constraint conditions, and removing conflict hypotheses; and determining the final event type and the structured event description of the three-dimensional geographic coordinates. The problems of large illumination energy consumption and poor system linkage in existing tunnel safety management are solved.

The invention relates to the technical field of defect diagnosis, in particular to a production defect diagnosis method and system for a quartz crystal resonator. The method comprises the following steps: extracting a micro-acoustic response signal of each processing stage based on an ultrasonic excitation and response monitoring device, and carrying out acoustic time-frequency structure analysis and response track trend analysis and extraction to obtain a multi-stage crystal voiceprint behavior track sequence; deploying a multi-angle structured light interferometer array to carry out acoustic monitoring and synchronous visual acquisition, carrying out light stripe form response deviation calculation, and extracting a light stripe form response deviation section; and sound-light behavior frequency response analysis is carried out on the multi-stage crystal voiceprint behavior track sequence and the light texture form response deviation section, acousto-optic mismatch index fitting is carried out, and an acousto-optic fusion feature deviation database is constructed. Through accurate and efficient defect diagnosis and positioning, the production yield of the quartz crystal resonator is improved, and waste and energy consumption of a production line are reduced.

The invention belongs to the technical field of stator slot wedge detection, and discloses a generator stator slot wedge online detection method and system based on acousto-optic monitoring fusion. The method comprises the following steps: acquiring laser ranging data, acoustic monitoring data and generator working condition parameter data of online looseness detection of a generator stator slot wedge; preprocessing the laser ranging data, the acoustic monitoring data and the generator working condition parameter data to obtain laser ranging features, acoustic features and working condition parameters; and inputting the optical ranging features, the acoustic features and the working condition parameters into a pre-trained auto-encoder for anomaly detection, and obtaining an online looseness detection result of the generator stator slot wedge. By fusing the optical ranging technology, the optical fiber acoustic monitoring technology and the unsupervised deep learning algorithm, the important technical breakthrough in the field of generator stator slot wedge looseness detection is realized, and online stator slot wedge looseness detection can be carried out.

The invention discloses an ultra-high-speed imaging device based on acousto-optic filtering modulation. The ultra-high-speed imaging device comprises a spectrum modulation system, a spectrum imaging system and a data processing system. The spectrum modulation system utilizes an acousto-optic tunable filter (AOTF) to dynamically modulate broadband continuous spectrum light, narrow-band illumination light which rapidly changes along with time is generated, and time information of a dynamic scene is effectively mapped to a spectrum dimension. And the spectral imaging system images the spectral coded dynamic scene to the hyperspectral camera to realize acquisition of spectral space-time information. The data processing system performs spectral crosstalk correction, channel separation and demosaicing reconstruction on the acquired original mosaic image, and recovers a time sequence image according to a spectrum-time mapping relation, thereby realizing single-shot superspeed imaging in a dynamic process. The device has the advantages of being simple and compact in structure, flexible in time window, high in imaging fidelity and the like, and has wide application prospects in the fields of rapid dynamics such as microfluidics, laser processing and ultrafast physics.

The invention provides a power transmission line external damage risk identification method fusing image and sound features, and belongs to the technical field of power supply. Image frames collected by a camera are processed based on a target detection algorithm, when external damage machinery is identified, a target bounding box is output, and the timestamp of the current image frame is recorded; the microphone array is triggered to carry out audio acquisition, and an acoustic reference signal pointing to the external breaking mechanical direction is generated; visual features and Mel frequency cepstrum coefficient MFCC features are extracted, and acousto-optic time delay is calculated; and determining the vertical distance from the external breaking machine to the power transmission line based on the sound velocity, the acousto-optic time delay and the installation parameters of the camera, and carrying out early warning according to the vertical distance and the voltage grade of the power transmission line. Therefore, through a collaborative fusion mechanism of visual sense and acoustic perception, the problems of high false alarm rate, poor positioning precision and large response delay in external damage monitoring of the power transmission line in the prior art are effectively solved, and the monitoring accuracy and practicability are improved.

Disclosed herein is an optical frequency comb generator for a distributed acoustic anomaly detection system. The system can include a continuous wave frequency modulated laser source configured to generate a laser signal. The system can include an acousto-optical modulator configured to modulate the laser signal by altering an amplitude and / or frequency of the laser signal based on an RF drive signal applied to the AOM, and to output an optical pulse with multiple frequency sidebands based on the modulation. The output can form an optical frequency comb usable detecting and locating acoustic anomalies within a structure under observation.

The invention relates to an acousto-optic coupled intelligent sleep aiding method and system. The method comprises the following steps: constructing an initial sound scene environment and controlling sound and light output to smoothly transit to a reference value; collecting a user respiration signal to obtain a respiration rhythm; adjusting the sound and light output rhythm to be synchronous with the respiratory rhythm; coupling the acousto-optic output with the respiratory rhythm on the basis of keeping synchronization; executing acousto-optic guidance according to the selected sleep aiding mode and the acousto-optic coupling mode, and guiding the respiratory rhythm to a target frequency by adjusting an acousto-optic output change frequency; and when the user is in the sleep state, controlling the sound-light output to smoothly transit to a closed state. By adopting the method, dynamic synchronization and self-adaptive guidance of acousto-optic output and the breathing rhythm of the user can be realized, the problem of rhythm mismatch caused by fixed output rhythm of traditional sleep-aiding equipment is effectively solved, and the sleep-aiding effect is improved.

The invention discloses a current transformer oil level monitoring system based on ultrasonic echo detection, which relates to the technical field of electric power monitoring and comprises the following steps: acquiring original echo time sequence data; calculating the distance between the transmitting end and the top of the metal expander by combining the propagation velocity of the ultrasonic waves in the air; and when the oil level height value is lower than a set threshold value, an alarm signal is triggered. According to the invention, the problems of easy clamping stagnation, complex installation, large temperature drift and environmental interference and the like of the traditional float-type, pressure-type and window observation methods are effectively overcome, remote uploading and local acousto-optic prompt are supported, and intelligent inspection and fault pre-warning identification under unattended operation are realized; and the operation safety, the monitoring reliability and the operation and maintenance intelligent level of the oil-immersed current transformer are remarkably improved.

The invention discloses acousto-optic chalcogenide glass with a high laser damage threshold, the chemical composition formula of the acousto-optic chalcogenide glass is GexSySez, x, y and z respectively represent the mole fractions of Ge, S and Se, x = 10-30, y = 5-40, z = 40-70, x + y + z = 100, and the microscopic network structure of the acousto-optic chalcogenide glass contains a [GeSe4] tetrahedron, a [GeSSe3] tetrahedron, a [GeS2Se2] tetrahedron, a [GeS3Se] tetrahedron, a [GeS4] tetrahedron and a Se ring. The acousto-optic chalcogenide glass provided by the invention has a relatively high laser damage threshold Fth (9.72-15.58 J / cm < 2 > at1550 / 20ns / 5kHz), a relatively low thermo-optic coefficient dn / dT and good acousto-optic characteristics and mechanical properties, is high in near-infrared band transmittance, and has a relatively high laser damage threshold while ensuring a high acousto-optic quality factor. The material can be used as a material basis for developing high-performance and high-stability infrared acousto-optic modulation devices.

The invention discloses a high-power picosecond pulse train laser with programmable sub-pulse energy and a method, and relates to the related technical field of lasers, the high-power picosecond pulse train laser comprises a mode-locked fiber laser, an acousto-optic modulator and a solid amplification chain which are sequentially arranged along an optical transmission path; the mode-locked fiber laser generates a mode-locked picosecond pulse sequence; the acousto-optic modulator performs pulse selection and pulse string grouping on the mode-locked picosecond pulse sequence, and performs pre-programming shaping on sub-pulse energy in a pulse string according to set intensity distribution to generate a pre-shaped pulse string; the solid amplification chain comprises at least one stage of solid amplifier, and the solid amplifier comprises a dichroscope, a laser gain crystal, a coupling optical assembly and an LD pumping source; and the dichroscope is used for focusing the pre-shaped pulse string amplified at the previous stage and the LD pump light transmitted by the coupling optical assembly into the laser gain crystal. Independent programmable regulation and control of the energy of each sub-pulse in the pulse string are realized, and the energy distribution of each sub-pulse in the pulse string can be flexibly adjusted.

The application discloses a kind of acoustic-optical fusion's cold spring methane detection method, system, device and storage medium, comprising: obtaining first preprocessed acoustic measurement data and second preprocessed optical measurement data, obtains environmental measurement data;According to the acoustic measurement data, the optical measurement data and the environmental measurement data, form joint data;According to the joint data extraction joint feature, according to the joint feature determines current methane total concentration, according to the joint data determines current methane total leakage flux.The embodiment of the application can improve the accuracy of cold spring methane detection, and can be widely applied in gas detection technical field.

The invention discloses an acousto-optic radar wind measurement data correction system based on adaptive noise suppression, and relates to the technical field of data correction. Environmental parameters and acousto-optic radar system parameters are combined through a dynamic adjustment module to dynamically adjust a signal-to-noise ratio threshold; the echo signal quality analysis module inputs the frequency spectrum characteristic data and the dynamically adjusted signal-to-noise ratio threshold value into an echo quality model and judges whether the current echo signal is valid or not, if yes, interpolation is carried out by adopting a spatial smooth interpolation method, if yes, the dominant frequency of the echo signal is extracted, Doppler frequency shift is calculated, and according to the detection angle and the laying direction, the Doppler frequency shift is calculated; and calculating a radial wind speed, inverting a three-dimensional wind speed vector and carrying out physical consistency correction. According to the correction system, the dynamic adjustment module is introduced, real-time environment parameters and system operation parameters are combined, and a signal-to-noise ratio threshold value required by judgment is dynamically adjusted, so that a judgment basis can be intelligently self-adapted along with a measurement environment, and the accuracy and robustness of echo signal quality judgment are remarkably improved.

The invention discloses an acousto-optic combined detection and fusion positioning method and device for underground gas leakage, and belongs to the technical field of industrial safety monitoring. In order to solve the problems of high false alarm rate, insufficient positioning precision, poor dynamic environment adaptability and the like of a single sensor in the prior art, the invention provides a multi-modal signal space-time collaborative fusion technical scheme which specifically comprises an acousto-optic heterogeneous sensor, an integrated MEMS ultrasonic array and a tunable laser spectrum module. Microsecond-level synchronous acquisition of acousto-optic signals is realized through a GPS taming clock, and a cross-correlation time delay compensation model is designed to eliminate space-time mismatch errors. And designing a three-stage dynamic fusion framework: improving LMS adaptive filtering to suppress industrial noise, establishing a light intensity attenuation model in combination with dust environment concentration, carrying out multi-modal feature extraction of acousto-optic signals, carrying out signal preliminary fusion, and judging a gas leakage condition. And constructing an acousto-optic Bayesian joint probability model, and calculating the leakage posterior probability. And optimizing positioning parameters based on a double-Kalman filter group, predicting sound wave time delay by forward filtering, and correcting a light diffusion coefficient by backward filtering to realize three-dimensional coordinate solution. Temperature, humidity and dust concentration parameters are fused in real time, a sound velocity calculation model and a light intensity attenuation factor are corrected, and the robustness of complex working conditions is improved. According to the invention, the advantages of acousto-optic signals are combined, errors of various complex environmental factors are further fused and compensated, the overall error is greatly reduced, and the method has the characteristic of dynamic adaptation, and is very suitable for gas leakage detection and positioning in complex environments such as underground environments and the like.

The invention discloses a deep sea mineral lifting unmanned transportation system. According to the system, an unmanned carrier-intelligent execution-elastic scheduling framework is constructed, and the system comprises four modules including unmanned carrying equipment, a communication network system, a scheduling control center and a support safeguard system. The unmanned carrying equipment realizes mineral transportation based on buoyancy driving; the communication network adopts a layered redundant architecture of underwater sound OFDM and a laser emergency link, and high-reliability communication and centimeter-level positioning are guaranteed; the scheduling control center improves the operation efficiency through intelligent task allocation and trajectory planning; the support and guarantee system integrates energy management, digital twin monitoring and emergency response mechanisms. The operation process adopts a mode of mainly unmanned autonomous and assisted by remote monitoring, and the links of ballast diving, acousto-optic docking, buoyancy regulation and control, mother ship dynamic unloading and the like are covered. The deep-sea mineral lifting efficiency, maneuverability and reliability are remarkably improved, and core technical support is provided for deep-sea resource development.

The invention discloses a sleep aiding method and system based on brain wave data, and the method comprises the steps: synchronously collecting brain waves, electrocardiosignals, environmental noise and user voice data through a flexible electrode array, constructing a multi-mode causal graph, and dynamically recognizing the type of a noise source (electromagnetic interference or psychological noise); the method comprises the following steps of: generating a target antagonistic intervention signal (such as reverse sound wave counteracting electromagnetic noise and binaural rhythm relieving psychological pressure) according to the target antagonistic intervention signal, generating dynamically adaptive light pulse and tactile vibration parameters in combination with a psychological-physiological collaborative model, and synchronously outputting sound, light and tactile intervention signals through a multi-modal actuator. Through causal reasoning and multi-sensory cooperative regulation and control technologies, accurate inhibition of noise interference and personalized induction of the sleep state are realized, the sleep time is remarkably shortened, the deep sleep duration is prolonged, and the method is particularly suitable for complex noise environments and anxiety-related insomnia scenes.

The invention relates to the technical field of intelligent security and protection, and discloses an intelligent face recognition and early warning system for monitoring, which comprises a data acquisition module, a feature processing engine, a decision center module and an early warning execution terminal, and is characterized in that visible light and infrared thermal imaging bimodal face data are acquired through a multispectral imaging unit; stable extraction of biological characteristics in an extreme environment is realized; a target path is pre-judged by fusing the real-time track and a historical behavior mode through a long short-term memory network; the decision center dynamically triggers a three-level early warning protocol according to the abnormal level, and links the acousto-optic equipment, the access control system and the mobile terminal to execute blocking operation; and deploying an edge computing node and a cloud collaborative architecture to realize model increment optimization, and adaptively correcting an early warning threshold according to the personnel density gradient by using a dynamic weight adjuster. The problems that a traditional system fails in recognition in a shielding environment, lacks behavior pre-judgment ability and is rigid in early warning mechanism are solved.

The invention relates to a miniaturized medium-long wave infrared solid-state laser in which a thulium-doped laser directly pumps a ZGP crystal, the thulium-doped laser takes two laser diodes with the central emission wavelength of 793 nm as pumping sources, two Tm: YAP crystals with the same parameters are cascaded and placed in a U-shaped resonant cavity to serve as laser gain media, and an acousto-optic Q crystal controls intra-cavity loss in the resonant cavity, so that the thulium-doped laser directly pumps the ZGP crystal. Pulse laser with the wavelength of 1.94 m is output; the 1.94 m pulse thulium laser serves as pump light and passes through the ZGP-OPO module, and 2.8 m signal light and 6.2 m idler frequency light are obtained. The Tm laser outputs 1.94 m laser through primary oscillation to directly serve as a pump source, the ZGP-OPO outputs medium-long wave infrared laser in a nonlinear mode, the overall light path structure of the medium-long wave laser is simplified, and the electro-optical conversion efficiency is improved.

The invention discloses a dynamic planning method and system for smart city traffic, and relates to the technical field of smart cities and intelligent traffic, and the method comprises the steps: collecting multi-source traffic data, and carrying out the fusion preprocessing; constructing a dynamic weight model to calculate a priority weight; a signal lamp timing scheme is generated based on the weight and is adjusted through a rolling optimization mechanism; outputting an optimization strategy by combining historical and real-time feedback evaluation effects; and a manager is notified through the acousto-optic prompt device and a report is generated. According to the invention, through the dynamic weight model and the rolling optimization mechanism, the overall delay time of the intersection is reduced, the traffic capacity of the traffic flow is improved, the Kalman filter is introduced to fuse multi-source data, and the data processing precision is improved; the LSTM network is adopted to predict the future traffic flow, a scientific basis is provided for a signal lamp timing scheme, and the workload of traffic management personnel is reduced through the acousto-optic prompt device and the automatic report generation module.

The invention belongs to the technical field of laser, and discloses a laser beam splitting and combining device based on an acousto-optic deflector pair and application thereof, and the laser beam splitting and combining device comprises a transmitting optical fiber module, a first acousto-optic deflector, a diaphragm, a second acousto-optic deflector and a receiving optical fiber module which are sequentially arranged; the first acousto-optic deflector and the second acousto-optic deflector are arranged in parallel; the transmitting optical fiber module is used for transmitting laser to the first acousto-optic deflector; the first acousto-optic deflector and the second acousto-optic deflector are used for deflecting, splitting or combining laser beams; the diaphragm is used for blocking secondary diffracted light except the primary diffracted light; and the receiving optical fiber module is used for receiving the laser emitted from the second acousto-optic deflector. Therefore, the technical problems that in the prior art, the laser beam splitting function and the laser beam combining function are mutually independent, two kinds of operation cannot be considered in the same device, and real-time regulation and control over the light beam operation mode are lacked are solved.

The invention relates to a laser radar on-chip integrated chip based on acousto-optic modulation, an on-chip acousto-optic scanning method and a laser radar system. A plurality of groups of interdigital transducers are arranged on the lithium niobate film, two groups of chirp IDTs respectively work at a low-frequency band and a high-frequency band, and sound waves at the low-frequency band correspondingly generate a relatively large Bragg deflection angle; and the high-frequency-band sound waves correspondingly generate a relatively small Bragg deflection angle. The two groups of IDTs work cooperatively, so that two-dimensional vector scanning of a dual-frequency broadband can be realized in a chip plane; the pair of focusing IDTs can form a focusing sound field in an action area, so that the light beam subjected to two-dimensional deflection is controllably deflected in the Z direction, and the chip is endowed with the three-dimensional scanning capability. The device is high in diffraction efficiency and low in power consumption; unification of large-range search and high-precision scanning is realized; z-axis deflection is realized by integrating a special focusing type interdigital transducer, a three-dimensional scanning function is realized on a monolithic integrated acousto-optic chip, and the structure is extremely compact.

The invention discloses a large Qinling Mountain area-oriented human interference pattern spot identification and risk diagnosis device, and belongs to the technical field of ecological environment monitoring and protection. The device comprises a remote monitoring terminal and at least one monitoring unit wirelessly connected with the remote monitoring terminal; the monitoring unit comprises an acquisition module and a processing module; the remote monitoring terminal is configured to receive the image data, perform man-made interference pattern spot identification, assess risks according to the identified pattern spot information, and control the processing module to work according to the identified pattern spot information; the monitoring unit further comprises an unmanned aerial vehicle body. The processing module comprises an acousto-optic mechanism and a marking mechanism which are arranged on the unmanned aerial vehicle body. The system integrates the monitoring unit with image acquisition and on-site disposal functions and the remote monitoring terminal, realizes real-time identification, risk level evaluation and quick response of man-made interference pattern spots in the big Qinling Mountain area, and effectively overcomes the problems of low efficiency, many blind areas and the like in traditional manual patrol and fixed monitoring.

The invention discloses a tunnel, bridge and culvert water level detection and alarm system and method based on deep learning, and the method comprises the following steps: S1, collecting an image and a capacitance water level signal at the lowest point of a tunnel or an easy water accumulation region, and generating standardized multi-source data; s2, inputting the image into a SegmentAnything model, extracting a water body mask, and calculating an image water level value in combination with scale mapping; s3, carrying out confidence weighted fusion on the image water level and the capacitance signal to obtain a fused water level value; s4, constructing a fused water level time sequence, constructing an SCI Net model, and outputting a predicted water level sequence; s5, generating an alarm label according to the fused water level and the prediction result; s6, LED display and acousto-optic response are controlled according to the alarm label, and an early warning prompt is started when a serious alarm is given; s7, capturing an image in an early warning or serious alarm state, and generating an alarm data packet; and S8, uploading to an urban water level monitoring platform through the Internet of Things module. According to the invention, intelligent identification and remote early warning of the ponding state of the tunnel bridge and culvert are realized.

The invention belongs to the related technical field of laser micro-nano machining, and particularly relates to a 2.5 D micro-pattern laser machining method based on an acousto-optic deflector and a galvanometer, which is realized by adopting a laser device based on combination of an acousto-optic deflection module and the galvanometer, and comprises the following steps: in single track scanning of the galvanometer, according to a preset pulse machining sequence corresponding to a machined pattern, carrying out laser processing on the machined pattern according to a preset pulse processing sequence corresponding to the machined pattern; frequency control signals corresponding to the pulses are input into the two acousto-optic deflectors respectively, so that laser pulse distribution formed on the machined part after single-time track scanning of the galvanometer is shown as the pulse superposition number in the depth direction and the lap joint rate between adjacent pulses in the normal direction of the advancing direction of the galvanometer; the pulse superposition number of each pulse position in the depth direction reflects the processing depth of the pulse position, and the pulse number and the pulse overlap rate of each positioning position in the normal direction of the moving direction of the galvanometer are determined according to the section width and the contour radian in the width direction of a processing graph. According to the invention, the processing of any 2.5 D micro-pattern can be realized.

The invention discloses an acoustic optical communication positioning method for an autonomous adjustment channel of an underwater robot, and the method comprises the steps: constructing an underwater dynamic acousto-optic fusion repeater, achieving the wide-area guaranteed-bottom connection with the underwater robot through an acoustic link, and providing meter-scale precision coarse positioning covering a whole operation region; the method provides prior information for rapid establishment of a subsequent optical link, further dynamically compresses an optical search area to realize rapid and accurate link establishment, and performs autonomous and smooth switching among acoustic, optical and acousto-optic hybrid transmission modes according to real-time link quality assessment (signal-to-noise ratio), thereby realizing acousto-optic deep coupling and cooperative scheduling, and improving the reliability of the system. The system has the advantages of long-distance reliable connection, short-distance high-speed data return, high-precision positioning and the like, and solves the core technical problems that the distance and the speed cannot be obtained at the same time and the positioning precision and the coverage range are mutually restricted in the prior art.

The invention relates to the technical field of underwater target detection, in particular to an underwater image target detection method and system based on multi-modal fusion. The method comprises the following steps: acquiring an underwater optical image and sonar image pair and a trained underwater multi-mode target detection network; inputting an image pair into the network, and respectively extracting multi-scale features of an optical mode and a sonar mode through a double-branch backbone network; a cross-modal feature offset is calculated by using an attention mechanism and a confidence mask through a multi-modal feature alignment module, and spatial adaptive alignment of acousto-optic features is realized; a multi-head zoom dot product attention and parallel double-gating structure is adopted through a cross-modal feature fusion module, bimodal complementary features are adaptively screened and fused, and target feature representation is enhanced; and the fused features are sent to the detected neck and head to complete target classification and positioning. According to the method, the problems of underwater acousto-optic mode space dislocation and imaging difference are solved, and the precision and robustness of target detection in a complex underwater environment are improved.

This invention relates to a Bragg light generation system and method suitable for Bragg-type atomic interferometers. The system includes: a laser for generating a first laser beam with a frequency in a preset atomic absorption peak band; an optical circulator for propagating the first laser beam to a cascaded acousto-optic modulator and receiving two third laser beams returned from the cascaded acousto-optic modulator; a cascaded acousto-optic modulator for diffracting the first laser beam into two second laser beams with opposite propagation directions through Bragg diffraction of two acousto-optic crystals; an optical assembly for performing secondary diffraction on the two second laser beams and reflecting the two mutually perpendicular second laser beams to the cascaded acousto-optic modulator; and an output module for splitting and sampling the two third laser beams and modulating the sampled third laser beams into Bragg laser beams in the target frequency band. This invention reduces the path separation of the two Bragg laser beams by using a quasi-common optical path, thereby reducing phase noise and improving measurement accuracy.

The invention discloses a vortex ultrasonic transducer, an acousto-optic coaxial modulation method and an analogue simulation method, and relates to the technical field of acousto-optic modulation.The method comprises the steps that a focused vortex sound field is generated through the vortex ultrasonic transducer with a center perforated hole, sound beams and light beams are coaxially propagated in the same direction, the sound field is used for regulating and controlling medium refractive index distribution, and the sound field is used for generating a focused vortex sound field; and light beam focusing spiral propagation and scattering suppression are realized. A model is constructed through analogue simulation, and the regulation and control effect of the sound field on the light beams is analyzed. According to the invention, coaxial modulation of the vortex sound fields with different topological charges on the light beams is realized, and a new path is provided for research of an acousto-optic regulation and control technology.

The invention relates to an intelligent temperature control rock heat-water-force-sound-light multi-field coupling disturbance shearing device and a use method of the intelligent temperature control rock heat-water-force-sound-light multi-field coupling disturbance shearing device. A disturbance shearing mechanism composed of a trapezoid pressing rod, a constant damper and a spring is additionally arranged on the driving side of the lower shearing box. When the tangential loading shaft is propelled at a constant speed, the mechanism can convert stable linear displacement into disturbance shear load of periodic loading and unloading, so that engineering power disturbance is simulated. According to the device and the method, periodic shear disturbance is synchronously applied to a rock sample in a high-temperature seepage environment, mechanical response, seepage characteristic change, internal micro-fracture and surface full-field deformation of the rock sample are comprehensively observed, and an advanced test means is provided for researching a catastrophe mechanism of a deep rock mass under the action of multi-field coupling and dynamic disturbance.