15 results about "Acoustic camera" patented technology

The invention discloses a wind turbine blade fault diagnosis method based on aerodynamic noise and image recognition, and relates to the technical field of wind turbine blade fault diagnosis, and the method comprises the steps: building a plurality of typical fault models of a wind turbine blade based on a numerical simulation platform, and extracting simulation acoustic image data; the position of the aerodynamic noise source is positioned through an acoustic camera, and corresponding blade image information is collected by an unmanned aerial vehicle; and carrying out feature training on the image sample and the acoustic image data by using a deep neural network and executing fault matching judgment. According to the method, a fault acoustic image database under multiple working conditions is constructed through numerical simulation, outfield data acquisition is performed in combination with an acoustic camera and an unmanned aerial vehicle, and joint feature training and fault matching of acoustic frequency spectrums and images are realized by using a deep neural network. The method can break through the limitations of the prior art in the aspects of real-time performance, accuracy and intelligence, and achieves the efficient and reliable diagnosis of the fault of the wind turbine blade.

The application discloses an implementation method and device of an acoustic camera and electronic equipment, and the method comprises the following steps: step S1, a phase compensation slope tensor is calculated according to the microphone position, pickup angle and pixel point division of the acoustic camera; step S2, each microphone time domain signal is framed and windowed, the windowing result is summed according to the number of frames to be processed, time-frequency analysis is performed on the sum result, and the frequency domain signal of each microphone is obtained; step S3, the phase compensation slope tensor is used to perform phase compensation on the spectrum of each microphone by using the quantile method, and a display matrix is updated based on the compensated spectrum; and step S4, the display matrix is matched with an actual pattern, and a sound emitting object is accurately positioned.

A noise camera comprises a plurality of audio detectors such as microphones, which are spatially disposed with respect to a tracking camera. The plurality of audio detectors may be arranged to detect a location of a noise source in a field of view of the tracking camera, thereby allowing identification of a source of noise such as a vehicle emitting noise exceeding a predetermined threshold such as a legal limit. The noise camera may comprise one or more detection cameras for identifying a noise source by techniques such as number plate recognition for the example of a vehicle. A location of a noise source in the field of view of the tracking camera is determined from a time difference of arrival of the noise from the noise source detected by a plurality of the audio detectors. The time difference of arrival indicating an angle of the noise from the tracking camera may be mapped into video captured with the field of view of the tracking camera as one or more pixel location values. Documentary evidence generated from the noise camera can include the tracking video, noise source pixel location values comprising, for each of one or more tracking images of the tracking video, an indication of a location of a pixel of a dominant noise source in the tracking video. The documentary evidence may be processed to identify a path of the dominant noise source in the tracking video from the noise source pixel location values. From the path, a detection time at which the path of the dominant noise source in the tracking video is closest to a detection point in a field of view of a detection camera is determined. The noise source such as a vehicle is identified from images at the detection time.

The invention relates to the technical field of sound source positioning, and discloses a sound source three-dimensional positioning system and method based on a binocular acoustic camera, and the positioning system, and the system comprises a first acoustic camera and a second acoustic camera which are used for shooting the same sound source from different positions to obtain an acoustic image; the information processing system is in communication connection with the first acoustic camera and the second acoustic camera and is used for receiving and processing the acoustic image data acquired by the two acoustic cameras; and calculating the position coordinates of the sound source in the three-dimensional space based on the relative position relationship between the first acoustic camera and the second acoustic camera, the horizontal pixel path, the vertical pixel path and the pixel coordinates of the sound source in the first acoustic camera and the second acoustic camera in the acoustic image. The limitation that a traditional single acoustic camera can only achieve two-dimensional positioning is broken through, the two cameras collect acoustic images from different positions, the information processing system constructs complete logic of multi-source data fusion-three-dimensional coordinate calculation, and a basic solution is provided for complex three-dimensional space sound source positioning.

Disclosed is an AI acoustic camera including an acoustic source localizing means unit of generating position-specific acoustic level data by determining a position of an acoustic source, an AI acoustic analysis unit of recognizing a type of acoustic source estimated as an abnormal acoustic source by extracting a regeneration time domain acoustic signal for the acoustic source with the determined position and AI-learning and recognizing an acoustic feature image of the extracted time domain acoustic signal, an object recognition unit of recognizing a type of object positioned in the acoustic source through image analysis of an area recognized as that the acoustic source is positioned, and a determination unit of determining the acoustic source as a true acoustic source when the type of acoustic source and the type of object have commonality.

The application discloses a sound insulation foam production optimization method and system based on machine learning, and relates to the technical field of building protection.The method comprises the following steps: based on an acoustic camera, sound insulation detection is performed to determine a sound wave spectrum, and a sound insulation coefficient is determined in combination with a building sound insulation standard; an optimization decision module is built, and the optimization decision module comprises an optimization decision module and an acoustic evaluation module; based on the sound wave spectrum and the sound insulation coefficient, product optimization decision and sound insulation evaluation are performed in combination with the optimization decision module to determine a product optimization strategy, wherein the optimization dimensions include sound insulation optimization and lightweight optimization, and the sound insulation optimization comprises the sound insulation coefficient; the product optimization strategy is subjected to process conversion based on an initial process flow to determine an optimized production process; and based on the optimized production process, optimized production management of the sound insulation foam is performed.The application solves the technical problem that the sound insulation foam production process is less intelligent in the prior art, and the sound insulation effect of the sound insulation foam product is poor in different frequency bands and complex environments.

Device (10) for the investigation and recovery of suspected objects in underwater areas, in particular munitions, comprising: - a supporting body (100); and - a gripping device (102) with at least two oppositely arranged gripper shells (104), wherein a receiving area (106) is formed between the two gripper shells, and - the gripping device is mechanically connected to the support body at a connection point (108), forming a gripping area (110) which extends from the connection point in a direction away from the support body, the device also - comprises at least one mechanically attached flushing nozzle (112) in the gripper area, wherein the flushing nozzle is configured to discharge a flushing medium for exposing the suspected object directed towards an area outside the gripping area, and - a suction pump (114) comprising a fluid-conducting connection to at least one suction nozzle (116), wherein the suction nozzle is arranged in the gripper area, in particular to provide sediment extraction close to the suspected object, characterized by the fact that the device (10) also an acoustic camera (124) for visual identification of the suspected object, wherein the acoustic camera is connected to the support body via an extendable mounting arm (126) in order to move the acoustic camera relative to the support body (100) with the extendable mounting arm, and / or has a measuring probe (128) for determining the position of the suspected object in an unexposed state, wherein the measuring probe is connected to the support body via an extendable probe arm (130) in order to move the measuring probe relative to the support body (100) with the foldable probe arm.

The invention relates to the technical field of vehicles, in particular to a vehicle body abnormal sound test method and device, electronic equipment and a storage medium, and the method comprises the steps: determining a target test parameter based on a current test demand, and testing a to-be-tested vehicle according to the target test parameter, abnormal sound data of the to-be-tested vehicle in the testing process and audio frequency signals collected by a plurality of acoustic cameras are obtained; and generating an acoustic cloud picture according to the audio signal, and obtaining an abnormal sound test result of the vehicle body according to the acoustic cloud picture and the abnormal sound data. Therefore, the problems that a specific implementation method for vehicle vibration collection is lacked, vibration displacement of vehicle-mounted assemblies and parts cannot be collected and processed, a vehicle body abnormal sound source is difficult to visually position, a special monitoring method is not provided for specific assemblies, and related technologies are high in cost, long in consumed time and the like are solved; accurate and efficient monitoring of vehicle vibration and abnormal sound sources is achieved, monitoring cost and time consumption are reduced, and reliable support is provided for optimization of vehicle NVH performance.

A partial discharge measurement system is disclosed. The present system comprises: a reference signal generation apparatus that is located in a real space and outputs a reference signal for phase correction; and an acoustic camera that measures partial discharge on the basis of a partial discharge acoustic signal generated from a target to be measured. The acoustic camera includes: an acoustic signal reception unit that receives the partial discharge acoustic signal generated from the target being measured; and a data processing unit that generates partial discharge acoustic data for the partial discharge acoustic signal and phase-corrects the partial discharge acoustic data on the basis of a phase difference between the reference signal and the partial discharge acoustic signal, so as to generate phase-corrected partial discharge acoustic data.

The utility model discloses a pipe acoustic online quality monitoring system which comprises a conveying platform used for conveying pipes, a compressed gas source is arranged on one side of the head of the conveying platform, an acoustic camera, a control unit, an alarm and a code spraying marking machine are arranged on the side portion of the conveying platform, and the control unit comprises a cabinet body. An online acoustic camera gas leakage detection module, a sound source positioning algorithm module, an automatic code spraying marking module, a data processing and analysis platform and a control module are arranged in the cabinet body, and a control unit controls the code spraying marking machine. According to the pipe acoustic online quality monitoring system, compressed air is input into a pipeline, the monitoring system is used for capturing an acoustic wave signal generated by gas leakage on the surface of the pipeline and converting the acoustic wave signal into an acoustic image, whether defects exist or not is recognized, an alarm is given, and an acoustic imaging technology and a sound source positioning algorithm are used for monitoring the quality of the pipeline. And defect points on the surface of the pipe are positioned with high precision. Meanwhile, after the system detects defects, a code spraying device can be automatically triggered to accurately mark leakage points.

The invention relates to the technical field of leakage monitoring, and discloses a sound source positioning system and a method for determining the position of a sound source, and the system comprises an acoustic camera which obtains a first sound image related to the sound source; the displacement mechanism is connected with the acoustic camera; the data processing control module is in signal connection with the acoustic camera and the displacement mechanism; the data processing control module obtains a first peak noise sound pressure level SPL1 through the first acoustic image; and after the displacement mechanism is controlled to drive the acoustic camera to move for a distance dL relative to the sound source, obtaining a second peak noise sound pressure level SPL2 of the second acoustic image through the acoustic camera, and finally obtaining the position of the sound source relative to the acoustic camera. According to the invention, by adjusting the relative position of the acoustic camera and the sound source, the first peak noise sound pressure level SPL1 and the second peak noise sound pressure level SPL2 are obtained, and the relative position of the sound source is further obtained, so that the fault point of the sound source is further positioned, treatment measures are taken in time, and unattended fault monitoring is realized.

The invention relates to an acoustic camera design method and system based on a multi-phase filter, and belongs to the technical field of acoustic measurement and signal processing. The method comprises the following steps: acquiring an acoustic time-domain signal, calculating the delay inequality of the acoustic time-domain signal reaching each microphone, and obtaining a phase compensation coefficient of a multi-phase filter; sub-filtering branches of the multi-phase filter are configured, and delay phase compensation is carried out; calculating a time domain cross-correlation function of the acoustic time domain signal, accumulating cross-correlation values of the time domain cross-correlation function at a corresponding time delay, and placing the obtained values in a designed space matrix to obtain a sound source localization heat map; and positioning the sound source according to the heat map peak value.

An acoustic camera system has a microphone unit and a mobile device, in particular a tablet or smartphone, wherein the mobile device has a camera, a data interface and a display. The microphone unit has a data interface which is or can be coupled to the data interface of the mobile device via a connection. The microphone unit has a microphone array with a plurality of microphones and an evaluation unit which receives data from the microphones.

1. Name of the designed product: Acoustic camera. 2. Use of the designed product: To let the observer see the position of the sound source in the sound field. 3. Design points of the designed product: In shape. 4. Picture or photo that best shows the design points: Front view.

The invention discloses a storage tank bottom plate leakage detection system and method, and relates to the technical field of storage tank detection. Comprising a telescopic device, an acoustic camera detection system and a remote monitoring management platform, and the acoustic camera detection system comprises an acoustic sensor array, a folding expansion structure and a visual device; and the remote monitoring management platform controls the telescopic device and the folding expansion structure, and performs fusion analysis on visual information collected by the visual device and multiple pieces of acoustic information collected by the acoustic sensor array through an improved beam forming algorithm to obtain a detection result of the leakage of the storage tank bottom plate. According to the invention, the capability of identifying and positioning weak leakage signals in a complex noise environment is remarkably improved.