342 results about "Directional sound" patented technology

The invention discloses a multi-dimensional anti-bird intelligent recognition method and system based on thermal imaging, and relates to the technical field of intelligent monitoring and ecological protection. Multi-modal data is collected through thermal imaging, visible light, millimeter wave radar and a voiceprint sensor, after PTP protocol synchronization and Kalman filtering preprocessing, 3-5-second tracks of birds are predicted by using an LSTM network, and the anti-bird intelligent recognition method and system based on the thermal imaging are obtained. And the cross-modal features are fused through a Transform architecture, so that 95% of classification accuracy is realized. A bird repelling strategy is generated in real time through edge calculation, and the model is updated through cloud federal learning. The system integrates an oil-electric hybrid unmanned aerial vehicle and a ground device, supports dynamic path planning based on a thermodynamic diagram and differentiated repelling of directional sound waves, laser stroboflash and the like, has the night recognition accuracy rate of 92% and the bird repelling response time of 0.8 second, and is suitable for scenes of electric power, airports and the like. Through multi-dimensional perception, dynamic modeling and eco-friendly expelling, the problems of poor environmental adaptability, single strategy and the like of a traditional scheme are solved, and the anti-bird efficiency and the ecological safety are improved.

The invention discloses an intelligent sound effect processing system for an automobile DSP (Digital Signal Processor) power amplifier, particularly relates to the field of optimization of a vehicle-mounted sound system, is used for solving the problem of insufficient sound effect consistency and intelligent adaptation in a dynamic sound field, and is characterized in that acoustic data are acquired in real time through a microphone array, and a three-dimensional acoustic geometric model is constructed by combining ray tracing and an image source method; sound wave propagation paths and dynamic changes are accurately captured; frequency bands of low-frequency, intermediate-frequency and high-frequency signals are divided, spectrum distribution differences and gain fluctuation centers of all seats are evaluated, and a sound field consistency adjustment coefficient is generated and used for guiding design and optimization of a directional beam forming filter, adjusting amplitudes and phases of all sound channels, forming directional sound beams and suppressing noise interference; therefore, the method can dynamically adapt to the acoustic environment change in the vehicle, improves the sound effect balance and high fidelity, and enhances the auditory experience and satisfaction of passengers.

The invention is suitable for the technical field of people flow density detection, and provides a scenic spot people flow density detection and early warning method and system, and the method comprises the steps: collecting real-time passenger flow data through an intelligent device disposed at a key node of a scenic spot; preprocessing the collected data and then constructing a multi-dimensional feature analysis model, wherein the multi-dimensional features comprise people flow composition features, behavior pattern features and environment coupling features; constructing a sample set based on feature vectors output by the multi-dimensional feature analysis model, outputting the sample set to a deep learning model to calculate a people flow density index, and triggering graded early warning when the people flow density index exceeds a first preset threshold value; generating multi-language voice early warning information according to the graded early warning, and performing regionalized broadcasting through directional sound field equipment; and when the people flow density index exceeds a second preset threshold value, generating a tourist shunting scheme including optimized path planning, thereby effectively improving the accuracy of people flow density detection and the timeliness of early warning.

The invention relates to the technical field of intelligent traffic monitoring, in particular to a toll station pedestrian and non-motor vehicle intrusion intelligent early warning system and method, a terminal layer comprises a sensing terminal composed of a camera, a hard disk video recorder and the like, and an early warning terminal composed of a directional sound post and the like; an edge computing unit is deployed on the edge layer, targets are detected in real time, tracks are tracked and classified, and cloud rechecking is triggered by low-confidence targets; the cloud layer utilizes a visual language large model to recheck a target, pre-mark data, generate an electronic fence and store data; the system adopts a dynamic grading early warning module, three-level early warning is triggered according to a target track, a position and staying time, and automatic degradation is carried out along with the presence of a worker; in addition, through a closed-loop optimization mechanism, a positive / false alarm feedback iteration visual small model is collected. According to the invention, cloud side-end cooperation is realized, multiple models and algorithms are fused, high-precision detection, real-time response, dynamic self-adaption and self-optimization capabilities are realized, the intrusion risk can be effectively prevented, and the safety management level of the toll station is improved.

The invention relates to the technical field of sound beam control, and provides a sound beam forming pointing control method based on crowd recognition and related equipment thereof. The method comprises the following steps: performing time-space synchronous acquisition and calibration on multi-modal sensor data to obtain a time-space aligned original data set, and performing layered signal enhancement on the original data set to obtain a visual feature tensor and an audio feature tensor; dense crowd detection and tracking are carried out according to the visual feature tensor to obtain a target crowd space-time trajectory matrix, and sound source localization and beam weight calculation are carried out in combination with the audio feature tensor to obtain a beam forming weight vector; performing multi-constraint dynamic optimization in combination with environmental parameters in the multi-modal sensor data to obtain an adaptive control parameter set, and finally performing real-time beam forming in combination with a loudspeaker sequence to obtain a directional sound field output signal. According to the invention, target detection, sound source localization and dynamic adaptive control are combined on the multi-source data, so that the beam direction is dynamically adjusted.

The invention discloses a method and system for guiding an old person to go home through a door lock, and the method comprises the steps: calculating a lost score value through a lost score model according to a condition that a target door lock A detects that the old person fails in continuous verification for multiple times and stays overtime in front of the door, and judging that the old person is in a lost state when the score value exceeds a threshold value, and obtaining a lost judgment result; according to the door lock A, encrypting and broadcasting the elderly biological characteristics to all the door locks, receiving confirmation information returned by the successfully matched door lock B, and obtaining a target room positioning result; according to the floor topological data of the door lock A and the door lock B, generating an optimal guide path, and obtaining path data containing a passing door lock sequence; according to the path data, controlling lamp strips along the way to be lightened according to a preset mode, and cooperating with a directional sound box to play voice guidance; and sending a reset instruction to the path door lock according to the fact that the door lock B detects that the old person successfully unlocks or arrives. According to the embodiment of the invention, convenient, efficient and intelligent door lock guiding can be carried out, and precise guiding and supporting for the elderly are realized.

Provided herein are system, method, and computer program product embodiments for providing an interactive visual representation of loudspeaker sound coverage in a venue. An embodiment enables temporal, spectral, and spatial audio metering from digital audio to venue acoustics. This technology can visualize audio capabilities of one or more loudspeaker arrays using light to provide visualization grouping of large audio channel outputs. This can allow spatial information to be visually represented by mapping directional sound to light beams.

The invention relates to the technical field of sound reception, and discloses a system for multi-directional sound reception and noise reduction of a smart glasses microphone array, and the system comprises at least five microphones which are disposed at different positions of a smart glasses frame, and the first microphone is a unidirectional microphone, is located below the glasses frame, and is used for picking up the voice of a wearer; the second microphone and the third microphone are bi-directional microphones, are located right in front of the glasses frame and are used for picking up voice signals right in front of the wearer. The directivity weight of the microphone array is adjusted in real time through the dynamic optimization module, and the pickup effect of the target voice signal is enhanced preferentially. The voice enhancement module is matched to extract a target voice signal by using a Bayesian inference method, so that noise components in a mixed signal can be effectively separated, voice distortion is reduced, the definition and fidelity of the voice signal are remarkably improved, and the voice has better intelligibility in various complex noise environments.

The invention relates to a vehicle warning tone dynamic adjustment method and system based on multi-dimensional perception. According to the method, environment data are acquired, a multi-dimensional feature matrix is constructed, scene classification labels and sound field coverage parameters are analyzed based on the matrix, then an acoustic physical model is called to generate an environment self-adaptive acoustic parameter group, pedestrian behavior prediction and regional voice features are fused to implement multi-modal optimization on acoustic parameters to generate a prompt tone template, and the prompt tone is obtained. A directional sound field signal is synthesized through a beam forming technology, pedestrian response data is collected, finally, a parameter mapping rule and an acoustic physical model are continuously updated based on feedback information, a technical path of environmental perception, dynamic parameter adjustment, directional output and closed-loop optimization is formed, the self-adaptive capacity of the prompt tone system to complex traffic scenes is achieved, and the prompt tone system has a wide application prospect. While the warning effectiveness is guaranteed, the environmental interference is reduced, different regional cultural characteristics and pedestrian perception characteristics are considered, and the safety and environmental friendliness of human-vehicle interaction are integrally improved.

The application provides a sound amplification sound column with adjustable vertical direction. The sound column comprises multiple coaxial cylindrical wave mid-high sound boxes arranged vertically, a sound box connecting mechanism, and a sound column direction adjusting mechanism. The sound box comprises a box with a trapezoidal vertical section and a coaxial cylindrical wave mid-high module installed on the panel of the box. The coaxial cylindrical wave mid-high module comprises a midrange horn, a high-frequency module, and a midrange phase plate. The high-frequency module is embedded in the midrange phase plate, and the midrange phase plate is placed on the midrange horn. The sound column is composed of multiple coaxial cylindrical wave mid-high sound boxes arranged vertically, and the curvature of the cylindrical wave is accurately controlled through the connecting mechanism and the adjusting mechanism to realize continuous adjustment of the vertical direction.

The invention relates to an array microphone noise reduction recording method based on cascade noise reduction and blind source separation, which belongs to the technical field of voice signal processing and recording, and comprises the following steps: configuring a multi-channel array microphone, ensuring that the amplitude and phase of a channel signal are consistent, and collecting an original multi-channel voice signal; a weighted kernel function blind source separation algorithm is adopted, signal-to-noise ratio distribution characteristics of signals are extracted, kernel function weights are given, and target voice and interference signal components are obtained through decoupling of an independent component analysis model; executing target-oriented adaptive cascade noise reduction, locking the voice of a keynote speaker through directional pickup, reducing noise, filtering out reverberation, and enhancing the voice of a far-field target by combining a voice mask neural network with a far-field pickup algorithm in sequence; and processing the target voice through voice feature perception lossless coding and storing the target voice. According to the invention, stable acquisition of multi-channel signals, accurate separation of mixed signals and layered suppression of noise reverberation are realized, the signal-to-noise ratio and definition of far-field voice are significantly improved, and the method is suitable for single-person speaking or multi-person dialogue scenes.

According to the intelligent voice broadcast system and method for the elevator, elevator car environment data are collected in real time through a multi-source heterogeneous sensor set, and passenger density distribution and movement tracks are calculated through fusion of a millimeter wave radar and a 3D visual sensor; physiological features of a handrail contact area are detected through a biological impedance sensor so as to judge the health state of a passenger, and the current signal-to-noise ratio is dynamically calculated and the voice frequency band is optimized through an environment noise analysis module. Therefore, by constructing a technical system of'multi-modal perception-edge intelligent decision-cross-modal interaction 'and adopting innovative means such as millimeter-wave radar and biological impedance fusion sensing, deep reinforcement learning of a dynamic strategy and a phased array directional sound field, the problems of broadcast stiffness, poor scene adaptability and privacy potential safety hazards are solved. According to the system and method, accurate passenger feature recognition, dynamic voice content generation and multi-channel collaborative feedback are achieved through two-dimensional innovation, and the intelligent level and service efficiency of elevator voice interaction are improved.

The utility model provides an on-line monitoring tube expansion prevention protection device for a round tube belt conveyor, and belongs to the technical field of conveyors. The online monitoring tube expansion prevention protection device for the circular tube belt conveyor comprises ultrasonic directional transmitters and ultrasonic directional receivers, the ultrasonic directional transmitters and the ultrasonic directional receivers are arranged on the two sides of the circular tube belt conveyor respectively, the number of the ultrasonic directional transmitters and the number of the ultrasonic directional receivers on each side are both two, and the number of the ultrasonic directional transmitters and the number of the ultrasonic directional receivers on each side are both two. The ultrasonic directional transmitter and the ultrasonic directional receiver which are in the opposite state are at the same height, and the ultrasonic directional transmitter, the ultrasonic directional receiver, the coal feeder and the round pipe belt conveyor are all connected with a round pipe belt conveyor PLC. According to the utility model, directional sound wave transmission and feedback receiving are combined with PLC control of the circular tube belt conveyor, so that the device has the advantages that the accumulation condition of materials in the rubber belt in the running and conveying process can be monitored on line in real time, and tube expansion is prevented fundamentally.

The voice directional enhancement method comprises the steps that a current frame and a staring direction of mixed voice are acquired, and the mixed voice is acquired by a microphone array; constructing a direction feature based on the current frame of the mixed voice and the gazing direction, and constructing an audio feature based on the current frame of the mixed voice; determining a current frame mask according to the direction features and the audio features; and determining a target enhanced voice of the current frame according to the current frame mask, the current frame of the mixed voice and the plurality of historical frames of the mixed voice. In the embodiment of the invention, the mask of the current frame is generated under the guidance of the gazing direction, so that the target voice can be accurately separated from the mixed voice. Besides, based on the current frame mask and the current frame of the mixed voice, the target voice enhancement is performed frame by frame from the overall characteristics of the mixed voice by referring to a plurality of historical frames, so that the accuracy of the target enhanced voice of the current frame can be effectively improved, and thus the accuracy of directional pickup is improved.

The invention relates to a focusing type voiceprint acquisition sensor, and discloses a sensor which realizes accurate focusing of equipment operation sound, reduction of environmental noise interference, improvement of sound signal quality, multi-dimensional voiceprint feature extraction and convenience for subsequent equipment operation state analysis through cooperation of an array type multi-direction sound acquisition module and a focusing concave mirror. The device is characterized in that the device is composed of a sound insulation cover, a sound collection hole, a voiceprint collection cylinder, a multi-angle voiceprint collection cylinder, a connecting rod, a sound collection module, a voice processing module and a focusing concave mirror, one end of the voiceprint collection cylinder is arranged on the multi-angle voiceprint collection cylinder and communicates with the multi-angle voiceprint collection cylinder, and the other end of the voiceprint collection cylinder is of an opening structure; the sound insulation cover is arranged at the other end of the voiceprint collection cylinder, sound collection holes which are densely arranged are formed in the sound insulation cover, the sound collection holes are tiny holes, the sound collection holes are close to the upper edge of the sound insulation cover, and the focusing concave mirror is arranged in the voiceprint collection cylinder and corresponds to the sound collection holes.

The invention discloses a directional sound wave loudspeaker control method based on MEMS, and relates to the technical field of stereo loudspeakers. By initializing the MEMS array, the microphone array and the control circuit, stable operation of the system is ensured. The microphone array accurately locates a sound source by using a TDOA or beam forming algorithm, and the control circuit calculates phase and amplitude parameters of the MEMS unit to realize high-precision beam forming. The MEMS acoustic metasurface array transmits directional sound wave beams according to parameter adjustment, a microphone in a target area monitors sound wave quality in real time, and a control circuit dynamically and finely adjusts array setting through a feedback optimization algorithm to adapt to environmental changes. The system has the advantages of high-precision positioning, efficient beam forming, real-time optimization and low power consumption, is suitable for scenes such as smart home and virtual reality, and remarkably improves sound wave directionality and quality stability.

The invention relates to the technical field of ring main units, in particular to a sound-light alarm system for preventing misoperation of an all-insulation inflatable ring main unit. Comprising a multi-mode sensing module; an intelligent decision module; a sound-light alarm module; and a mechanical interlocking module. The sound-light-touch three-mode collaborative warning strategy is innovated, and the warning signal identification degree in a complex environment is enhanced through synchronous activation of directional sound waves, double-color stroboscopic light and vibration feedback; by combining dynamic audio adjustment, spectrum adaptive illumination and an operation behavior self-learning algorithm, intelligent dynamic adjustment of a warning strategy is realized, misjudgment of manual operation is effectively reduced, and an efficient risk intervention mechanism covering multiple senses is constructed; according to the invention, through a logic AND operation mechanism of high-voltage live detection and grounding knife switch position monitoring, a core high-risk scene that the power supply side is live and the grounding knife switch is closed is accurately captured, and the problem of missed judgment caused by single condition monitoring in the prior art is effectively solved.

Provided herein are system, method, and computer program product embodiments for providing an interactive visual representation of loudspeaker sound coverage in a venue. An embodiment enables temporal, spectral, and spatial audio metering from digital audio to venue acoustics. This technology can visualize audio capabilities of one or more loudspeaker arrays using light to provide visualization grouping of large audio channel outputs. This can allow spatial information to be visually represented by mapping directional sound to light beams.

The invention discloses an AI voice assistant semantic enhancement method oriented to an education scene, and the method comprises the following steps: S1, collecting classroom voice signals in real time through an annular multi-microphone array which is installed at the edge of a blackboard in an embedded manner, and obtaining the real-time three-dimensional coordinates of a teacher through a UWB positioning module; s2, constructing a spatial sound source mapping model based on the three-dimensional coordinates of the teacher; s3, acquiring blackboard writing character content through a visual sensor mounted on the side edge of the blackboard; s4, injecting the extracted feature keywords into a dynamic term library generation module to generate a standardized teaching instruction, and synchronizing the standardized teaching instruction to student terminal equipment; and S5, when detecting that the confidence of the voice instruction is lower than a preset threshold value, jointly analyzing the time sequence characteristics of the lip movement track and the blackboard writing handwriting to perform semantic completion. According to the method, an intelligent semantic analysis system with acoustic enhancement, term adaptation and multimode verification is constructed, and the semantic distortion problem caused by environmental interference in traditional speech recognition is eliminated through directional pickup and noise suppression of an intelligent array.

The invention belongs to the field of metal roof waterproof defect detection, and particularly relates to a metal roof waterproof defect real-time detection system based on multi-sensor fusion. The invention discloses a metal roof waterproof defect real-time detection system based on multi-sensor fusion, and the system comprises an acquisition module which comprises an ultrasonic detection assembly, a directional sound acquisition assembly, a visual image acquisition assembly, and an optical grating; the ultrasonic detection assembly is arranged on the side face of the roof and used for emitting ultrasonic waves and receiving reflected signals. The grating is arranged corresponding to the ultrasonic detection assembly and is used for emitting light beams to the roof when the ultrasonic detection assembly emits ultrasonic waves; and the visual image acquisition assembly and the directional sound acquisition assembly are carried on the movable holder. According to the scheme, through combination and cooperation of multiple detection principles, through the stages of initial detection, precise verification and the like, the recognition precision and efficiency are improved, the problem that in a metal roof overlapping or splicing scene, the detection efficiency of the waterproof defect of the metal roof is low is solved, and full-scene efficient detection is achieved.

The invention discloses a sleep-aiding method for achieving on-site feeling by adjusting the direction of sound waves, and the method comprises the steps: automatically / intelligently controlling the angles of a loudspeaker and a waveguide tube through a sleep-aiding sound box, or manually adjusting the angles of the loudspeaker and the waveguide tube in the sleep-aiding sound box, and then reflecting the sound waves emitted by the loudspeaker through the waveguide tube. The sound wave propagation direction is adjusted to realize directional sound production, so that the formed sound produces strong sound pressure in a certain direction, and a part of sound felt by a user can enter a three-dimensional space outside the sound box by virtue of secondary reflection of a ceiling or a wall or a floor of a room, so that the user can sleep by himself / herself. Therefore, the sound subjectively felt by the user is not from the self-sleep sound box but from the top or the side part of the room, a more natural and relaxed atmosphere is created, the purpose of on-site feeling is achieved, and the sleep aiding effect is further improved.

The invention relates to the technical field of directional pickup, and discloses a directional pickup method and device, computer equipment and a medium, and the method comprises the steps: obtaining time domain voice signals collected by at least two microphones, and carrying out the time-frequency conversion; calculating an observation phase difference of each frequency point, and determining a target theoretical phase difference according to a target pickup direction specified by a user and the geometric parameters of the microphone; encoding the target theoretical phase difference into a query vector, encoding the observation phase difference into a key vector, and generating a space confidence mask through a geometric cross attention mechanism; and filtering the frequency domain signal by using the mask, and outputting enhanced voice in a target direction through inverse time-frequency transformation. According to the invention, through an attention mechanism guided by physical prior, the problem of phase winding is effectively solved, and high-robustness and high-fidelity speech pickup in any direction is realized in a strong reverberation and low signal-to-noise ratio environment.

The invention relates to a traffic information voice broadcast method and system based on the LTE-V technology, and belongs to the field of intelligent traffic, and the method comprises the steps: receiving traffic event information, and calling a monitoring camera near an event point; inputting voice information by a commander, performing active noise reduction processing on the voice information, and determining whether voice speed reduction and keyword repeated enhancement processing are increased or not; performing three-layer matching on the voice information based on a spatial feature library, an event feature library and a plan library to generate a point-to-point directional voice instruction; and dynamically generating an event early warning message set through the RSU, broadcasting the event early warning message set, and carrying out anti-interference processing on the vehicle-mounted equipment. According to the invention, the event positioning and plan calling time is shortened through a three-layer matching algorithm, the traffic event handling response efficiency is improved, and the misoperation rate is reduced through a panic index triggering mechanism; and on the basis of dynamic filtering of the vehicle driving direction and distance, invalid early warning is reduced, and early warning timeliness is ensured.

The intelligent bird repelling system comprises a detection module and a repelling module, the detection module comprises an infrared camera and a controller, and the input end of the detection module and the input end of the repelling module are both electrically connected with a power module. The output end of the detection module and the output end of the expelling module are electrically connected with an Internet of Things monitoring management module. The detection module, the repelling module, the power supply module and the Internet of Things monitoring management module are arranged to jointly form the intelligent bird repelling system, the system has the advantages of accurate detection, effective repelling, remote monitoring, all-weather power supply and the like, and the circuit transmission fault problem caused by bird damage to the power tower can be remarkably reduced; the birds are repelled through the repelling module by adopting directional sound waves on the basis of the principle that the birds are sensitive to sound waves with specific frequency and strength, the measure is a non-destructive method, is friendly to the surrounding environment, does not cause the problems of stress and death to bird flocks, and is high in environmental protection property of the whole system.

The invention belongs to the technical field of underwater welding, and discloses an underwater double-path ultrasonic synergistic laser-electric arc hybrid welding repair device and method. The device comprises a two-way ultrasonic synergistic TIG welding gun and a laser head which are both fixed on an external drainage cover, and sealing penetration pieces are arranged on the external drainage cover for the two-way ultrasonic synergistic TIG welding gun and the laser head; the double-path ultrasonic synergistic TIG welding gun comprises a tungsten electrode sound path and an end part sound path; the tungsten electrode sound path transmits ultrasonic energy to a welding gun tungsten electrode through a tungsten electrode ultrasonic transducer, the electric field at the root of the welding gun tungsten electrode and the micro-motion behavior of the welding gun tungsten electrode are affected, and therefore the electric arc is compressed, and the position of the root of the electric arc is finely adjusted. The end sound path acts on the end of the welding gun through the end ultrasonic transducers in an annular array, directional sound radiation pressure is applied, an electric arc column and the surface of a molten pool are adjusted, heat input is promoted to be evenly distributed, and the symmetry of the molten pool is improved. The welding quality and the process stability are remarkably improved.

An animal deterrent device is generally shown. The animal deterrent device utilizes smart technology to deter an animal from coming close to a person holding the device or breaking apart two animals that are fighting without having to get physically involved. The device includes a first shell coupled to a second shell via fasteners. The device also includes one or more transducers configured to emit a sound wave. The transducer is controlled by a processor that includes a signal processing module and an analytics machine, amongst other components. The processor is configured to optimize the sound wave emitted by the transducer to provide a directional sound wave of a particular frequency, ranging from 10 kHz to 45 kHz, to keep an animal away.

The invention discloses a directional radio receiving method, a directional radio receiving device and electronic equipment. The method comprises the following steps: acquiring multi-channel audio data acquired by a microphone array; sound source localization is carried out on the multi-channel audio data, a target localization result is obtained, and the target localization result at least comprises a sound source orientation determined based on a historical localization result; audio signals in multiple target directions corresponding to the multi-channel audio data are determined, and the audio signals are determined based on the target positioning result; and determining an output signal corresponding to the multi-channel audio data according to the audio signal. According to the invention, the technical problem of beam forming direction deviation caused by insufficient precision and poor stability of sound source positioning in noise and reverberation environments in the prior art is solved.

The invention relates to the technical field of wind tower disease recognition, and discloses a wind tower disease image recognition system based on deep learning. The method comprises a bionic scanning layer, a sound wave feature extraction layer, a multi-source fusion module, an intelligent diagnosis module and an iterative optimization layer. The bionic scanning layer obtains a multispectral wind tower surface image, a surface damage distribution diagram is generated through wavelet decomposition, and an abnormal region boundary is recognized; the acoustic wave feature extraction layer deploys a directional acoustic wave sensor array according to the abnormal region, and generates an internal three-dimensional defect topological graph through a reflected signal; the multi-source fusion module establishes a space mapping relation, and after timestamps are synchronized, surface and internal data are fused by using a gating chart neural network to generate defect fusion confidence; the intelligent diagnosis module converts the confidence into a maintenance operation instruction sequence based on deep reinforcement learning and transmits the maintenance operation instruction sequence to the execution terminal; and the iterative optimization layer monitors the state change of the tower drum, calculates a deviation value to generate an efficiency index, and dynamically adjusts a multispectral scanning parameter.

The invention discloses a self-adaptive directional sound control method and system based on a multi-loudspeaker array. The method comprises the following steps: constructing an acoustic array by utilizing a plurality of loudspeakers distributed in different directions in the mobile terminal, performing single side band up-conversion processing on an audio signal, performing digital beam forming according to a target direction, and generating a plurality of paths of driving signals with phase difference and time delay difference, thereby forming a high-directivity sound field in a space. The system collects sound field feedback signals through a built-in microphone, and adopts a minimum mean square algorithm to adjust beam parameters in real time so as to compensate for terminal attitude, shielding and environmental noise changes and realize stable directional output of a sound field. The system further comprises a parameter library and sensor fusion module which supports adaptive calibration and multi-beam output of different devices. According to the invention, programmable directional sound transmission is realized without hardware modification, and the method has high privacy, low power consumption and strong robustness, and is suitable for private communication of an intelligent terminal and a multi-user audio partition playing scene.

The invention relates to the technical field of equipment operation state monitoring, in particular to a transformer substation main transformer equipment operation state monitoring system based on voiceprint recognition. Comprising a voiceprint collection module, a data preprocessing module, a voiceprint analysis module, a state evaluation module, a cooperative monitoring module, an interaction early warning module, a block chain evidence storage module and an operation and maintenance optimization module. According to the invention, the directional acoustic sensor collects voiceprint signals of key components, synchronously collects multi-dimensional operation parameters, and combines a wavelet threshold noise reduction algorithm to filter environmental noise and timestamp synchronization algorithm associated data, thereby achieving the effects of eliminating environmental interference and ensuring the integrity and accuracy of monitoring data. A normal voiceprint baseline library is constructed through historical voiceprint data and a deep learning model, current voiceprint signals are compared in real time, the operation state is judged in combination with multi-dimensional parameters, a time sequence model is used for deducing the fault trend, and the effects of accurately recognizing the fault type, accurately dividing the equipment state and conducting early warning in advance are achieved.