1496 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 provides a coast defense monitoring system based on unmanned aerial vehicle group collaboration and an application method thereof, and relates to the technical field of coast defense monitoring, and the coast defense monitoring system integrates air unmanned aerial vehicles, water surface unmanned ships and underwater unmanned ships, constructs a four-dimensional collaborative monitoring network, and combines a frequency domain resonance superposition technology and real-time analysis of marine environment variables. A dynamic three-dimensional environment model is generated, threat prediction of a time dimension is realized, multi-source sensor data can be fused in real time, a complete space contour of a target is formed, threat distribution in several hours in the future is predicted through environment change, for example, unmanned aerial vehicle deployment is adjusted in advance to cope with illegal border crossing behaviors in storms, and the risk of threatening is reduced. Quantum entanglement communication and acousto-optic hybrid communication ensure the stability and security of data transmission, and support millisecond response. According to the effect, the real-time performance and foresight of coast defense monitoring are remarkably improved, so that the system not only can quickly cope with current threats, but also can actively prevent potential risks.

The invention relates to the technical field of nondestructive testing, in particular to a leak detection and partial discharge digital imaging detection method and system based on acousto-optic fusion, and the method comprises the following steps: based on channel microphone array sound wave data in a partial discharge signal suspicious region, extracting a sound wave abnormal section, positioning a sound source, matching image edge features, and synchronously marking; and analyzing the phase change of the multi-frequency signal to judge a sound source concentration area, tracking the moving trend of a disturbance point, and outputting an acousto-optic fusion positioning trend track. According to the method, the partial discharge feature recognition sensitivity is improved through high-frequency peak paragraph screening and dominant frequency recognition, the abnormal region positioning precision is enhanced in combination with image edge extraction and sound source space matching, and acousto-optic synchronous positioning and trend trajectory display are achieved through multi-frequency signal phase analysis and image frame disturbance tracking. Through fusion of frequency domain feature extraction, image recognition, dynamic comparison and other actions, the spatial precision of abnormal source recognition and the multi-source fusion analysis efficiency are improved, and the partial discharge traceability and dynamic monitoring capability are enhanced.

The invention discloses a submarine cable pipeline detection method based on underwater acousto-optic fusion, and relates to the related field of underwater detection.The method comprises the steps that underwater sonar image data and underwater optical image data are acquired through underwater sensor equipment; carrying out preprocessing extraction to obtain sonar rectangular image data and standard optical image data; performing feature extraction by using a parallel double-branch convolution-Transform network to obtain an acoustic mode embedded feature set and an optical mode embedded feature set; carrying out attention perception and weighted fusion to obtain acousto-optic multi-modal fusion level features; decoding is carried out through a multi-mode decoder structure, and acousto-optic fusion pixel-level features are obtained; and carrying out detection classification by using a detection regression head and a classification head to obtain a submarine cable pipeline detection result. The technical problem that existing submarine cable pipeline detection is insufficient in detection precision and robustness is solved, and the technical effects of improving the detection precision and enhancing the detection robustness are achieved.

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 discloses a transformer substation equipment defect real-time identification and early warning system based on an image fusion technology. The transformer substation equipment defect real-time identification and early warning system comprises a data acquisition module used for deploying mobile acquisition equipment, an infrared sensor and a visible light sensor to acquire an infrared image and a visible light image of transformer substation equipment; the data fusion module is used for acquiring a fusion image of the infrared image and the visible light image of the substation equipment by using a scene-equipment decoupling fusion algorithm; the defect identification module is used for identifying equipment defects by using a target detection model according to the fused image and outputting a result; and the early warning module is used for starting acousto-optic early warning according to the defect type of the equipment when judging that the output result is greater than a risk threshold value, and sending an early warning signal to the operation and maintenance terminal and the operation and maintenance platform. Based on the multi-modal image, the accuracy of identifying the equipment defect of the transformer substation is improved, and then the safety production of the transformer substation is ensured.

The invention discloses an ultrasonic enhanced tactile sensor system, a sensor and a sensing method. The tactile sensor system comprises a multi-mode sensing unit and a processing unit. The multi-mode sensing unit integrates an ultrasonic module and a visual tactile sensing module, ultrasonic acoustic impedance matching and optical imaging transmission are achieved through an acousto-optic matching structure, and ultrasonic echo signals and tactile deformation images can be synchronously collected. In the processing unit, an event triggering module detects a contact event based on a tactile image and generates a switching signal, and a self-adaptive processing module dynamically controls an ultrasonic mode, distance measurement during non-contact, and switching to object internal imaging or material property identification during contact according to the switching signal. And the three-level fusion processing module outputs a multi-modal sensing result through signal-level synchronous acquisition, feature-level cross-modal fusion and decision-level task switching. According to the system, multi-dimensional perception of proximity sense, surface texture and deep information is realized, and the pre-judgment and accurate operation capability of the robot in a complex scene is improved.

The invention discloses an acousto-optic fusion bird repelling efficiency evaluation method and system, and the method comprises the steps: enabling a bird repelling device to recognize a target through an AI image, and enabling the bird repelling device to repel the target through the sound and light capability; collecting data and synchronously transmitting the data to a data analysis module; the behavior state of the birds is automatically analyzed based on image recognition and video processing technologies; comprehensively evaluating the bird repelling effect by using the efficiency evaluation index; according to historical data, a bird repelling strategy is optimized through an efficiency evaluation result; intelligent learning is introduced, and a bird repelling strategy is automatically adjusted; the system generates a regular efficiency evaluation report and feeds back data to the user; the system comprises a data acquisition module, a behavior identification and analysis module, an efficiency evaluation module and a strategy optimization module. According to the method, quantitative evaluation is carried out on the bird repelling effect, and the efficiency performance of bird repelling equipment is clarified; the effectiveness of a bird repelling strategy can be analyzed according to behaviors of birds; the bird repelling strategy is adjusted and optimized according to the data, and the bird repelling efficiency is greatly 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 utility model discloses an acousto-optic coupling three-dimensional flame area temperature field monitoring system, which comprises a computer, a power amplifier, a relay, a loudspeaker, a microphone and a signal analyzer which are sequentially connected, and further comprises a three-dimensional rack, a light field camera and a blackbody furnace, a plurality of groups of loudspeakers and microphones are arranged, and each group of loudspeakers and microphones are located at the same position on the three-dimensional rack; the signal input end of the light field camera is respectively connected with the three-dimensional flame and the blackbody furnace in the three-dimensional rack, and the signal output end of the light field camera is connected with the signal input end of the computer; the blackbody furnace is used for the light field camera to calibrate the relationship between the gray level of the two-dimensional layered flame original brightness image and the radiation intensity; measurement targets of the system are gas temperature and three-dimensional flame temperature in a three-dimensional to-be-measured area which is surrounded by a three-dimensional rack and contains three-dimensional flame, the overall temperature of a gas medium in a three-dimensional space is measured by using a non-contact sound velocity method temperature measurement principle, and a more comprehensive contribution is made to temperature monitoring of a key area of a hearth.

The invention discloses an equivalent self-noise pressure suppression method and device based on a multi-core optical fiber space division multiplexing signal, light emitted by a narrow linewidth laser is split through a first coupler C1, one path of light passes through an acousto-optic modulator AOM to generate a pulse signal, and then the pulse signal passes through a second coupler C2 to generate a pulse signal; the pulse light is divided into two beams of transmission light, the two beams of transmission light are injected into a connected sensing optical fiber through two groups of erbium-doped optical fiber amplifiers (EDFA), two groups of filters, two groups of circulators and a fan-in coupler Fan-in Coupler, and the pulse light is subjected to backward Rayleigh scattering in the sensing optical fiber; based on the dual-channel DAS system, the multi-core optical fiber serves as the sensing optical fiber, three cores and four cores of the multi-core optical fiber are connected in series to form two sensing channels, seven-core space division signals are multiplexed, the equivalent self-noise suppression effect of the seven-core space division signals is analyzed, and the detection capacity of the system for low-frequency weak signals can be improved.

The invention relates to the field of submarine structure detection, in particular to a submarine water intake structure hidden danger detection method based on acousto-optic joint detection. According to the method, through a multi-source data acquisition and intelligent fusion technology, including centimeter-level high-resolution sonar sounding, water body layer structure acoustic imaging, ROV optical camera shooting observation and laser calibration, scouring, crack and blockage information of the seabed grating is comprehensively obtained, and the seabed grating is comprehensively identified by adopting adaptive enhancement, threshold segmentation and spatial interpolation algorithms. The problems that a traditional sonar imaging blind area exists, the target boundary is fuzzy and the biological adhesion thickness is difficult to quantify are solved, and high-precision and multi-dimensional detection of seabed structure damage, blockage and scour forms is achieved. According to the overall scheme, the detection integrity and accuracy are improved, the submarine environment safety monitoring capacity is enhanced, and reliable technical support is provided for operation and maintenance of submarine facilities.

The invention belongs to the related technical field of lasers, and provides a high-power subnanosecond-nanosecond laser in order to solve the problems that the range adjustment and the application range of an existing laser are limited, and the structural stability needs to be improved. A modulation semiconductor seed source, an optical fiber pre-amplifier, a light beam isolation system, a high repetition frequency solid pre-amplifier, an acousto-optic modulator frequency reduction module and a multi-stage solid single-pass main amplifier are sequentially arranged along an optical path, continuous adjustable output of repetition frequency and pulse width is achieved, the adjustable range of the repetition frequency is 100 kHz to 1 MHz, the adjustable range of the pulse width is 100 ps to 10 ns, and the adjustable range of the pulse width is 100 ps to 10 ns. The laser power and the light beam quality are remarkably improved, and the method is suitable for the fields of high-precision micromachining, nonlinear optical research, medical cosmetology and the like.

The invention relates to an intelligent sleep adjusting method and system based on closed-loop acousto-optic brain wave entrainment, electroencephalogram (EEG) signals are collected and preprocessed in real time through a wireless dry electrode, and high-precision sleep staging is achieved through a deep learning model. The system adopts a fuzzy PID (Proportion Integration Differentiation) controller to dynamically adjust acousto-optic synergistic stimulation: an acoustic module generates binaural beat signals, an optical module outputs blue light (470nm) and amber light (590nm) pulses, and the brain wave entrainment efficiency is enhanced through phase synchronization (the phase difference is less than or equal to 10 degrees) and golden section frequency coupling (fL is equal to 1.618 fA). Parameters are updated every 30 seconds through closed-loop feedback, the sound pressure level (30-50 dB) and the light intensity (10-100 lux) are adjusted according to the Weber-Fechner law, and the response delay is lt; the time is 200 ms. A three-level safety mechanism monitors gamma wave abnormity, epilepsy sample discharge and impedance overrun in real time, and triggers graded protection (alarming, cutting off light stimulation and shutdown). Clinical verifications show that the entrainment success rates of the delta wave and the theta wave respectively reach 71% and 68%, the sleep improvement effect is good, and a safe and efficient intervention scheme is provided for sleep disorders.

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 relates to a super-resolution fluorescence lifetime microscopic imaging method and system based on pixel relocation. The method comprises the following steps: S1, carrying out multi-focus parallel scanning on a sample by using an acousto-optic deflector; s2, synchronously collecting a fluorescence intensity image and fluorescence lifetime data through an area array detector and a point detector; and S3, carrying out super-resolution reconstruction on the fluorescence intensity image based on a pixel relocation algorithm, and mapping fluorescence lifetime data to a reconstructed image to generate a super-resolution fluorescence lifetime microscopic image. According to the invention, an AOD is adopted to replace a scanning galvanometer in a traditional TCSPC-FLIM imaging system as a light beam scanner; addressing scanning of AOD, image acquisition of EMCCD and life data acquisition of PMT and TCSPC cards are closely linked by combining well-designed multiple paths of synchronizing signals, and fluorescence life data are distributed to each dot matrix through a later data processing method, so that organic combination of super-resolution and FLIM can be realized without complicated equipment, and SR-FLIM images of samples are obtained.

The invention provides an emergency communication method and system based on a multi-mode early warning broadcast terminal. Wherein the early warning function of the multi-modal terminal is activated and a dynamic feature library is constructed by defining disaster triggering conditions of combination of soil humidity and rainfall intensity; periodically scanning surface micro-deformation by using a radar array, calculating a mountain displacement rate in combination with Doppler frequency shift measurement, and generating a terrain risk thermodynamic diagram; a low-power-consumption long-distance wireless netlike self-organizing communication link is constructed, multi-hop redundancy transmission is started when a public network is interrupted, and an early warning data packet is segmented and forwarded; according to the early warning level cooperatively judged by the dynamic feature library and the radar array, the forwarding priority of the data packet is dynamically allocated, synchronous matching of an acousto-optic early warning signal and a disaster risk gradient is realized, and a hierarchical response link for linkage of terrain deformation monitoring and emergency communication is formed. According to the technical scheme provided by the invention, the emergency response efficiency and the coverage range are improved.

The invention discloses a defect-free neutral atom array preparation method and system based on dynamic optical tweezers rearrangement, and belongs to the technical field of quantum computing. The invention discloses a defect-free neutral atom array preparation method and system based on dynamic optical tweezers rearrangement. A static optical tweezers array is generated through a spatial light modulator to capture initial atoms, an optimal rearrangement path is planned by adopting a Hungary algorithm, and dynamic optical tweezers are generated through an acousto-optic deflector to implement atom grabbing, moving and releasing operation. According to the method, a weighted Gerchberg-Saxton algorithm is innovatively combined with real-time image feedback, so that the precise rearrangement of the atom array is realized. Important experimental technical support is provided for quantum calculation and simulation, and the application progress of the neutral atom array in the fields of quantum error correction, fault-tolerant quantum calculation, quantum simulation and the like is effectively promoted.

The invention relates to an integrated microcavity optical comb repetition frequency and optical frequency locking device and method, and belongs to the technical field of integrated microcavity optical combs. The locking device comprises a pumping module, a power amplification module, a phase modulation module, an electro-optic driving module, an acousto-optic modulation module, an acousto-optic driving module, a band-pass filtering module, a micro-ring resonant cavity and a beam splitting module; the device comprises a soliton detection module, a control module, a repetition frequency detection module, a first feedback control module, an acetylene frequency stabilized laser, a beat frequency module, an optical frequency beat frequency detection module and a second feedback control module. The locking device can achieve full frequency locking of the microcavity optical comb, has the advantages of being high in frequency stability, wide in servo bandwidth, simple and compact in structure, tight in locking, low in noise, high in reliability and low in cost, and can provide a powerful tool for the field of precision measurement.

The invention discloses a patrol detection system of an intelligent substation circuit device, and relates to the field of patrol detection of the intelligent substation circuit device, the patrol detection system comprises a patrol detection frame, the patrol detection frame comprises a detection unit, a patrol unit and an analysis unit, the detection unit is used for carrying out defect identification and voiceprint detection on an intelligent substation circuit, and the patrol unit is used for carrying out patrol detection; the detection unit comprises a voiceprint detection module and a voiceprint positioning module. The voiceprint detection module is used for obtaining voiceprint signals of the intelligent substation and the circuit in real time. Through the arrangement mode that the voiceprint detection module, the acousto-optic fusion module and the analysis unit are matched with one another and the voiceprint detection technology, the problems that abnormal voiceprint features of potential faults cannot be found in time when transformer substation equipment is manually inspected and heard are solved, meanwhile, fusion of multiple physical signals such as voiceprint, vibration and an electromagnetic field is facilitated, and the safety of transformer substation equipment is improved. And a cross-modal correlation model is constructed in combination with the graph neural network, so that compound faults can be distinguished accurately.

The invention discloses a frequency discrimination curve calibration system, method and device. A frequency locking technology is adopted, the output laser frequency of the seed laser is stably locked on an absorption peak of the atom / molecule absorption cell, and the problem of frequency drift of the seed laser is effectively solved. Meanwhile, two acousto-optic modulators are used for implementing accurate out-of-cavity passive frequency modulation on the seed laser, and the laser frequency is moved to a preset zero-speed frequency point of an optical frequency discriminator and a linear working area edge frequency point from an atom / molecule absorption peak position. In the calibration process, the telescope vertically points to the zenith, and atmospheric echoes with zero Doppler frequency shift are provided as reference. At the moment, the optical frequency discriminator measures and records the transmittance of a preset zero-speed frequency point in the center of the linear working area and the transmittance of an edge frequency point, and a new frequency discrimination curve can be derived based on the linear hypothesis of the frequency discrimination curve.

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 discloses an alveolar bone noninvasive detection method based on a spatial offset Raman spectrum technology. The method comprises the following steps: S1, selecting a first near-infrared excitation wavelength and a second near-infrared excitation wavelength to form a multi-wavelength tunable excitation light beam; s2, synchronously acquiring a first group of original Raman spectrum signals under a plurality of spatial offset distances; s3, acquiring a second group of original Raman spectrum signals by using an acousto-optic composite modulation Raman enhancement mechanism; s4, inputting the soft tissue optical parameter set into a joint inversion equation; s5, obtaining a deep alveolar bone Raman characteristic spectrum data set; s6, training an alveolar bone tissue health recognition model; and S7, based on the alveolar bone tissue health recognition model, performing health state judgment on the deep alveolar bone Raman characteristic spectrum data set acquired in real time, and generating an alveolar bone health assessment result. The early screening and dynamic monitoring capabilities of alveolar bone diseases are greatly improved, and the clinical working efficiency of doctors and the doctor-seeing experience of patients are remarkably optimized.

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 an oxidation fan control system, which relates to the technical field of fan control, and comprises an information acquisition module, an information input module, an analysis and judgment module, an information output module, an emergency processing module and a feedback early warning module, the information acquisition module acquires oxidation fan data in real time; the information input module inputs collected data; the analysis and judgment module analyzes and processes the collected data to judge whether abnormal conditions exist or not; the information output module outputs an analysis and comparison result; the emergency processing module adjusts the equipment to process individual abnormal conditions; the feedback early warning module carries out feedback early warning on abnormal conditions which cannot be automatically processed through acousto-optic early warning; according to the method, the surge probability of the oxidation fan is predicted through the fluctuation data of the monitored air volume and the air pressure, the surge is predicted and prevented before the surge occurs, and the monitoring and early warning functions in the operation state of the oxidation fan are perfected in combination with the two aspects of automatic adjustment and manual troubleshooting of the oxidation fan.