284 results about "Sound detection" patented technology

The invention relates to a glass capillary microscopic flaw detection method and system, and relates to the field of material nondestructive testing, and the method comprises the following steps: collecting a capillary detection signal; when the capillary detection signal is consistent with the detection starting signal, collecting a capillary serial number; determining a sound detection number according to the capillary number; obtaining a standard reaction characteristic based on the capillary serial number and the sound detection serial number; generating and transmitting a corresponding sound wave signal to the capillary tube based on the sound detection number, and collecting sound reaction characteristics; when the sound reaction characteristics are inconsistent with the standard reaction characteristics, controlling vibration auxiliary equipment to apply auxiliary vibration to the capillary tube, and collecting post-vibration sound reaction characteristics; if the post-vibration sound reaction characteristics are inconsistent with the sound reaction characteristics, a capillary tube cleaning prompt is reported; if the after-vibration sound reaction characteristics are consistent with the sound reaction characteristics, capillary tube defect prompts are reported. The method has the effect of improving the detection accuracy of the glass capillary.

A computer-implemented method when executed by data processing hardware causes the data processing hardware to perform operations. The operations include maneuvering, autonomously, a vehicle along a test track, monitoring, via at least one audio sensor, audio data from the vehicle during the maneuvering of the vehicle along the test track, and monitoring, via a monitoring system disposed along the test track, monitoring data of the vehicle along the test track. The operations also include executing, based on the monitored audio data, a sound detection function of an autonomous test algorithm, detecting, via the sound detection function, an error noise, categorizing, via a categorization function of the autonomous test algorithm, the detected error noise, identifying, based on the categorized error noise, a maintenance station and executing, in response to the identified maintenance station and categorized error noise, a spontaneous path planning function of the autonomous test algorithm.

A machine abnormal sound detection method based on feature enhanced dynamic graph convolution belongs to the field of machine abnormal sound detection, and comprises the following steps: firstly, generating a time-frequency spectrum feature representation for an original audio signal of a machine through a feature extractor; the method comprises the following steps: extracting multi-scale features by using an FE module through 1D-FFT, multi-scale trend period decomposition and a Token-Transform structure to obtain an enhanced feature spectrogram; sDA-GCN and DCA-GCN network structures are used, shared features and dynamic differences between devices are mined based on an enhanced feature spectrum, and feature differences under domain offset are reduced; through a coarse-grained label classifier, a fine-grained label classifier and a domain classifier, in combination with GRL and CORAL losses, fine-grained alignment of the feature space is realized; a three-stage training strategy is used, and the model is optimized through perception consistency pre-training, unsupervised contrast classification learning and reconstruction error-based anomaly detection. According to the invention, high-performance anomaly detection is realized.

The invention discloses an abnormal sound detection method based on multiple tasks, and belongs to the technical field of sound detection, and the method comprises the steps: obtaining a to-be-detected sound signal; preprocessing the sound signal to be detected; wherein the preprocessing process at least comprises the steps of performing data enhancement on a sound signal to be detected, and generating a target Log-Mel spectrogram; inputting a sound signal to be detected and the target Log-Mel spectrogram into the trained multi-task learning network, and outputting a multi-modal feature and a classification abnormal value; inputting the multi-modal features into a trained Gaussian mixture model to generate an abnormal score; and performing anomaly judgment on the sound signal to be detected based on the anomaly score and the classification anomaly value. Through collaborative design of a multi-task learning framework and multi-modal feature fusion, the problems that a traditional anomaly detection method is weak in generalization ability and high in false alarm rate in a complex industrial environment are solved, and high-precision and high-robustness abnormal sound detection is achieved.

The invention relates to the field of breath sound monitoring, and discloses a tracheal intubation device and a breath sound monitoring system.The tracheal intubation device comprises a tracheal catheter used for being inserted into an airway of a patient; the first sound detection piece is an optical fiber sound sensor, the first sound detection piece is installed on the tracheal catheter, the first sound detection piece is used for detecting breathing sound wave information in the airway of a patient, and the first sound detection piece is used for being in communication connection with the monitoring host so as to transmit the detected breathing sound wave information to the monitoring host. Therefore, the first sound detection piece is installed on the tracheal catheter, the first sound detection piece can be directly located in the internal environment of the airway of the patient, the accuracy of monitoring breathing sound and sound wave information of the patient through the tracheal intubation device can be improved, and the first sound detection piece transmits the breathing sound and sound wave information to the monitoring host in real time; the medical staff can monitor the breathing condition of the patient in real time through the monitoring host, find out abnormal breathing of the patient in time and carry out treatment.

The invention relates to the technical field of audio signal processing. The invention provides a method, system and device for predicting pulmonary nodules through sound and a storage medium. The method comprises the following steps: in a quiet test environment, directionally collecting a sound signal of a patient through an audio sensor; wherein the sound signals comprise breath sounds, cough sounds, vowels and sentences; performing noise reduction processing on the collected sound signals to obtain a noise reduction data set; extracting multi-dimensional voiceprint features from the noise reduction data set, and constructing a sound feature matrix; and performing multi-modal fusion analysis on the sound feature matrix and clinical data of the patient, inputting the sound feature matrix and the clinical data into a sound prediction model optimized by a focus loss function, and outputting a pulmonary nodule risk prediction result and a visual diagnosis report. The problems that the misdiagnosis and missed diagnosis rate is high, the radiation risk is large and the equipment dependence is strong when the pulmonary nodules are examined by the existing iconography, and the characteristic analysis is single, the noise immunity is poor and the screening accuracy is insufficient in the sound detection technology are solved.

The invention discloses a machine abnormal sound detection method based on enhanced self-coding reconstruction and probability modeling, and aims to solve the problem that in an existing unsupervised machine abnormal sound detection method based on a generative adversarial network, the time-frequency feature reconstruction result of machine operation sound is too smooth, so that the machine abnormal sound detection capability is insufficient. According to the method, time-frequency feature extraction is carried out on collected machine operation sound signals, modeling is carried out on machine operation sound time-frequency feature distribution under a normal working condition in combination with a probability statistical model, and the time-frequency features of the machine operation sound under the normal working condition are reconstructed and learned by using an auto-encoder of a structure enhancement mechanism. The method realizes unsupervised machine abnormal working condition determination by combining the reconstruction error and the probability determination result, can improve the determination stability and robustness of abnormal sound detection, reduces the model complexity, and is suitable for application scenarios such as industrial equipment operation state monitoring and fault early warning.

The invention provides an acoustic modal test method and device, electronic equipment and a storage medium, and the method comprises the steps: controlling at least one sound source device to output a preset audio signal at the same time; acquiring response signals detected by the plurality of sensors; the plurality of sensors are used for respectively executing sound detection at a plurality of detection positions in a compartment area; establishing a geometric model based on the audio signal, the detection position and a response signal detected by the sensor; and analyzing the geometric model to obtain an acoustic modal test result. According to the embodiment of the invention, the acoustic modal test result measured by the method is beneficial to improving the riding experience of passengers.

The invention relates to an intelligent AI information processing method and system, and relates to the technical field of information processing, and the method comprises the steps: collecting sound detection information and image detection information; updating the sound detection information through a preset sound processing method; obtaining a detection text according to the sound detection information; identifying a detection field from the detection text; identifying the marked image field through the image detection information; and combining the detection field, the marked image field and the image detection information to obtain final uploading information, and uploading and storing the final uploading information. The information processing method and device have the effect of improving the information processing accuracy.

The invention relates to the technical field of green plant building, and discloses a self-adaptive noise reduction type green new energy low-carbon plant and a using method.The self-adaptive noise reduction type green new energy low-carbon plant comprises an outer wall arranged on the outer side of an inner wall, a sound insulation space is formed between the outer wall and the inner wall, and supporting columns are installed for supporting; first reflecting plates are rotationally arranged on the inner walls of the two sides of the inner wall, sound detection probes are arranged on the first reflecting plates, and an adjusting mechanism comprising a first rotating plate, a second rotating plate and an electromagnet is arranged between the first reflecting plates and the inner wall of the inner wall; an opening is formed in the top of the inner wall, a second reflecting plate is slidably mounted in the opening, and linkage mechanisms comprising rotating shafts and telescopic mechanisms are arranged on two sides of the second reflecting plate; the lower ends of the two second reflecting plates are connected with partition plates, and compartments are formed between the partition plates and the inner wall. In the invention, the noise centralized processing area is constructed through the sound insulation space and the honeycomb layer, an additional sound insulation cover is not needed, and the equipment flexibility is improved; the angle of the first reflecting plate is adjusted through the detection probe and the adjusting mechanism, the position of the second reflecting plate is synchronously adjusted through the linkage mechanism, noise is reflected into the sound insulation space to be absorbed, energy consumption is reduced, and carbon emission is reduced.

A heart-lung stop prediction device includes: right and left sound detection sections for detecting sounds generated by heartbeat fluctuation at right and left corneal wind sites, respectively, and detecting sounds generated by breathing fluctuation at the right and left corneal wind sites, respectively; a calculation section for calculating a stress index of a mammal based on the sounds generated by heartbeat fluctuation and the sounds generated by breathing fluctuation detected by the right and left sound detection sections; a prediction section for predicting a heart-lung stop period of the mammal based on the stress index calculated by the calculation section; and a notification section for notifying the heart-lung stop period predicted by the prediction section.

This allows for the assurance of good call quality across multiple frequency bands without the need for tuning for each individual frequency band. [Solution] This is an acoustic signal processing device that transmits a signal in a predetermined frequency band, the receiving frequency band, acquired via a communication device that performs voice communication, to a sound generating unit via a receiving-side signal path to produce sound from the sound generating unit, and acquires voice input via a sound detection sensor via a transmitting-side signal path and outputs it to the communication device. It comprises a band detection unit that detects whether the receiving frequency band is a narrowband first frequency band or a second frequency band wider than the first frequency band, based on a reference signal transmitted through the receiving-side signal path, and a band-specific countermeasure unit that takes countermeasures according to the frequency band detected by the band detection unit.

The application provides a pop sound detection method, comprising: obtaining an audio file and a corresponding recording file; calculating a first energy value corresponding to the audio file and a second energy value corresponding to the recording file by using Fourier transform; and determining that the audio file has a pop sound if a difference between the first energy value and the second energy value at the same time exceeds a set threshold. The application does not need manual listening to the audio file to detect the pop sound, and realizes automatic detection of the pop sound phenomenon of the audio file. On this basis, a corresponding pop sound detection report can be generated to further help users identify and repair the pop sound fault. The application also provides a pop sound detection system, a computer readable storage medium and an electronic device, which have the above beneficial effects.

Sensor and / or sound detection device with: a sensing device (10) with a sensitive surface (12) which is designed such that a change in at least one physical quantity and / or at least one chemical concentration at the sensitive surface (12) causes a change in a sensor signal output by or tapped from the sensing device (10); wherein at least one access channel (18) in the sensor and / or sound detection device is designed such that, at least as long as the at least one access channel (18) is open, air and / or at least one gas can be transferred through the at least one access channel (18) between a spatial environment of the sensor and / or sound detection device and the sensitive surface (12); characterized by at least one at least partially water-impermeable membrane (20) with an inner membrane surface (20a) oriented towards the at least one associated access channel (18), wherein at least one contact surface (22) of the respective membrane (20) located on the respective inner membrane surface (20a) is pressed against at least one associated membrane contact surface (24) on the at least one associated access channel (18) by deformation of the respective membrane (20) when a membrane outer surface (20b) of the respective membrane (20) or a cover layer (40) located on the respective membrane outer surface (20b) is wetted with at least a minimum quantity of liquid, such that the at least one associated access channel (18) is sealed liquid-tight, wherein the at least one membrane (20) is designed such that, if the respective membrane outer surface (20b) or cover layer (40) is not wetted,the respective membrane (20) is in its initial position and the at least one associated access channel (18) is kept open via at least one open intermediate gap between the at least one contact surface (22) of the respective membrane (20) in its initial position and the at least one associated membrane contact surface (24) on the at least one associated access channel (18).

The invention provides a motor abnormal sound detection method and device, and the method comprises the steps: collecting a sound pressure signal and a rotating speed signal of the operation of a motor, carrying out the synchronous processing of the sound pressure signal and the rotating speed signal, obtaining a synchronous original signal, carrying out the feature extraction of the synchronous original signal, and obtaining a feature vector; the feature vector comprises at least one feature component of a rotating speed deviation coefficient, a frequency band energy ratio, a dominant frequency and harmonic relation index and an amplitude attenuation rate, calculating an abnormal sound risk index by using the feature vector, determining an abnormal sound judgment threshold through a dynamic threshold updating strategy, and determining the abnormal sound by comparing the abnormal sound risk index with the abnormal sound judgment threshold. And outputting a motor abnormal sound detection result. According to the motor abnormal sound detection method provided by the embodiment of the invention, the sound pressure signal and the rotating speed signal are synchronously acquired, the multi-dimensional feature vector is extracted, the abnormal sound risk index is calculated, and self-adaptive judgment is performed based on the dynamic threshold strategy, so that an automatic abnormal sound recognition process based on multi-source signal fusion is realized, and the motor abnormal sound detection efficiency is improved.

The invention discloses a method and a system for detecting mobile phone noise through sound recorded by a mute box. Belongs to the field of audio signal processing. The method comprises the following steps: S1, placing a to-be-tested mobile phone in a mute box, exciting an audio input device or an audio output device of the mobile phone through a preset audio signal, and respectively collecting corresponding audio data; s2, storing the collected audio data as an audio file with a unique identifier; s3, reading audio signal data in the audio file, and performing data standardization and validity verification; s4, extracting time domain features and frequency domain features based on the standardized audio signal data; s5, according to the time domain features and the frequency domain features, whether the audio signals conform to a preset noise feature mode is judged, and if yes, it is judged that noise exists in the mobile phone to be detected; otherwise, determining that no noise exists. According to the invention, the accuracy, consistency and automation level of mobile phone recovery quality inspection can be improved.

The embodiment of the invention provides a noise evaluation method for a steering system, a vehicle and a storage medium, and the method comprises the steps: obtaining a vibration signal of the steering system in a vehicle steering process; analyzing the vibration signal to obtain vibration data corresponding to noise generated by the steering system and acoustic characteristics of the noise; determining a sound pressure level of the steering system based on the vibration data and a preset mapping relation; and evaluating the noise based on the sound pressure level and the acoustic characteristics to obtain a noise evaluation index. The technical problem that the accuracy of abnormal sound detection of the steering system is low in the prior art is solved.

The utility model discloses a kind of infant intelligence care camera, including shell, main control circuit board, camera module and wireless communication module. Main control circuit board is equipped with sound detection circuit module, temperature and humidity signal processing circuit and image processing circuit, respectively with microphone, temperature and humidity sensor and camera module electrical connection, for monitoring the sound characteristics of infant, environmental temperature and humidity parameters and activity state. Image processing circuit can detect whether target object in image crosses the boundary of preset safety fence area. When system detects abnormal condition, alarm indicating device issues alarm and sends corresponding abnormal information to external mobile terminal through wireless communication module. Realize the intelligent monitoring of infant, improve the security and convenience of care.

The utility model relates to the technical field of automobile part detection, and provides abnormal sound detection equipment which comprises a rack, a main shaft, a first tool assembly and a second tool assembly. Wherein the main shaft is mounted on the rack and can rotate around the axis of the main shaft relative to the rack; the first tool assembly comprises a first toggle clamp and a base, the base is installed on the main shaft and can rotate along with the main shaft, and the first toggle clamp is installed on the base; the second tool assembly comprises a second tool A and a second tool B, the second tool A is detachably mounted on the rack and used for fixing an AB column mounting part of the vehicle door limiter, the second tool B can be fixed to the base through the first toggle clamp, and the second tool B is used for fixing a door metal plate mounting part of the vehicle door limiter. Thus, detachable connection between the second tool assembly and the rack is achieved through the first tool assembly, and the abnormal sound detection equipment can be suitable for to-be-detected objects of various models by replacing the second tool assembly.

The utility model relates to a device for detecting bag opening sound on two sides of a sealed bag, which belongs to the technical field of sound detection of sealed bags and comprises a fixed table, a clamping mechanism, a driving mechanism and a sound pickup device. The pair of clamping mechanisms are oppositely arranged, and the clamping jaws on the two clamping mechanisms are oppositely arranged; a vertical baffle plate is arranged on the clamping and fixing seat; the vertical baffle is perpendicular to the moving direction of the clamping mechanism, the clamping jaw is connected with the clamping fixing base, and the clamping jaw comprises a connecting rod and a movable chuck. The movable chuck is propped against the vertical baffle to respectively fix two opening layers of the sealing bag; the driving mechanism is used for driving the clamping mechanism to move. The sound pickup device is arranged below the clamping mechanism and used for collecting sound generated when the sealing bag is opened. The movable chucks on the clamping mechanisms can stably fix the sealing bag, the driving mechanism drives the two clamping mechanisms to move in the opposite directions, and then the sealing bag is opened. The sound pickup device collects sound generated when the bag is opened, and data support is provided for follow-up sound detection.

A control method for a camera module, an accidental-touch prevention method, and a related device, which can suppress the resonance of components within the camera module to the greatest extent when a loudspeaker of an electronic device plays sound, thereby avoiding abnormal noise and preventing damage to the components. The electronic device comprises a main chip, a loudspeaker module and a camera module, wherein the loudspeaker module comprises a Smart PA and a loudspeaker, and the camera module comprises a camera motor. The control method for a camera module comprises: a main chip controlling a loudspeaker to play sound; a Smart PA detecting a first signal of the loudspeaker, wherein the first signal comprises a first current signal and a second voltage signal; the Smart PA sending the first signal to the main chip; on the basis of the first signal, the main chip determining the current operating power of the loudspeaker; and after determining that the current operating power is greater than a first threshold value, the main chip controlling a camera motor to power on.

Disclosed are systems, methods, and media capable of generating and implementing emergency flows. The emergency flow is highly customizable and can connect with various stakeholders (user, emergency contacts, corporate representatives, emergency service provider personnel, etc.). The systems, methods, and media can be triggered in various ways including user input (e.g. voice command) or by sensors (e.g. by using sound detection capabilities).

The application discloses an active noise reduction microphone calibration detection device and relates to the technical field of microphone detection.The device comprises a detection chamber and a microphone main body, the inside of the detection chamber is internally provided with a lifting unit, the lifting unit is internally provided with a current sound detection unit, the lifting unit is used for adjusting the height of the current sound detection unit, the current sound detection unit comprises an annular track which is arranged on the lifting unit, an inner side of the annular track is provided with a track groove, and the inside of the track groove is slidably provided with three first sliding blocks which are arranged in an annular array, one mounting bracket is arranged on each of the first sliding blocks, and an equilateral tripod is movably arranged between the three mounting brackets, and one extension frame is arranged at each of three corners of the equilateral tripod.In the application, the three lateral simulation sound production elements are rotatable in a 360-degree surrounding mode and are independently adjustable in angle, the top simulation sound production unit is combined, flexible sound production quantity control is matched, and full-space accurate detection of the microphone is realized.

The invention discloses a breathing machine which comprises a detection device arranged between an air outlet pipeline of the breathing machine and a mask; the device comprises a pressure detection unit or / and a sound detection unit. And the control module is used for controlling the rotating speed of a fan of the breathing machine according to the received pressure signal or / and sound signal. According to the breathing machine, due to the fact that the detection device is closer to the patient, the breathing pressure change or / and sound of the patient can be detected more quickly and more accurately and fed back to the control module in time, and the control module adjusts the rotating speed of the draught fan and adjusts the pressure of airflow conveyed to the mask in time. Therefore, the breathing machine can rapidly and accurately detect the breathing pressure change or / and sound of the patient and adjust the rotating speed of the fan in time so as to rapidly adjust the pressure of the airflow conveyed to the mask, and the technical problem that in the prior art, the breathing pressure or sound detection of the patient is not accurate is solved; and the technical problem that the fan of the breathing machine is not adjusted in time is also solved.

The utility model discloses a shock absorber abnormal sound detection device, and relates to the technical field of shock absorber detection. The shock absorber abnormal sound detection device comprises a mounting frame and a pressurizing device arranged above the mounting frame, the mounting frame is provided with a containing cavity for containing a shock absorber, a mounting base for mounting the shock absorber is arranged at the bottom of the containing cavity, the mounting base and the pressurizing device are connected with the two ends of the shock absorber respectively, and the pressurizing device moves downwards to apply pressure to the shock absorber. The device can simulate the compression amount of the shock absorber in the use process, and verifies whether abnormal sound exists in the compression process of the shock absorber.

The utility model relates to an abnormal sound detection device, which is arranged in a test box and comprises a tool clamp, a detection device and a control device, the tool clamp is installed on the bottom wall of the test box and used for clamping a to-be-tested product. An internal fixture; the internal fixing piece is mounted on the top wall of the test box and is arranged above the tool clamp; a pressing device; the pressing device is arranged on the internal fixing piece and is used for pressing a key of the product to be tested and enabling the product to be tested to generate air medium noise; the microphone is arranged on the internal fixing piece and is used for collecting audio data of the air medium noise and sending the audio data to an acoustic analyzer; the acoustic analyzer is electrically connected with the microphone; and the acoustic analyzer detects whether the to-be-detected product generates abnormal sound or not according to the audio data. According to the invention, manual detection is replaced by a mechanical device, the sound is accurately analyzed, and the efficiency and accuracy of abnormal sound detection are improved.

A device to perform sound detection is disclosed. The device includes a memory including a buffer configured to store audio data. The device also includes one or more processors coupled to the memory. The one or more processors are configured to obtain image data. The one or more processors also are configured to generate, based on the image data, an indication of an environment associated with the audio data. Additionally, the one or more processors are configured to determine, based at least partially on the indication of the environment, whether one or more target sounds detected in the audio data corresponds to a particular set of sound event classes of multiple sets of sound event classes.

A method of monitoring a medical treatment device includes detecting a sound of the medical treatment device with a detection device, determining whether the sound is an irregular sound, and deploying an intervention upon determining that the sound is the irregular sound.

To provide an engagement sound detection device which increases the workability of engagement work and accurately detects engagement sound.SOLUTION: An engagement sound detection device includes: a microphone; a holding member for holding an engagement member provided at an end part of a wire harness; a sensor for detecting the wire harness in which the engagement member is held by the holding member; and a controller for controlling execution of determination processing which determines whether engagement sound by the engagement member is included in sound collected by the microphone on the basis of sound data based on the sound collected by the microphone. The controller executes the determination processing while the sensor detects the wire harness, and does not execute the determination processing while the sensor does not detect the wire harness.SELECTED DRAWING: Figure 5

The present invention relates to a MEMS device (1) particularly for sound generation and / or sound detection, having a diaphragm (2) deflectable along a lifting axis (3), and a MEMS unit (7) comprising at least one cantilever (8) for generating and / or detecting lifting motion of the diaphragm (2), the cantilever being spaced apart from the diaphragm (2) along the lifting axis (3) to form a cavity (9) between the cantilever (8) and the diaphragm (2); a lifting structure (12) disposed in the cavity (9) and connected to the diaphragm (2); and a connecting element (14) movably connecting the cantilever (8) to the lifting structure (12). According to the invention, the connecting element (14) narrows and / or widens in at least one section in the direction toward the lifting structure (12) and / or has at least one notch (24, 25). The invention also relates to a MEMS unit for a corresponding MEMS device and an electronic device having a corresponding MEMS device.