34 results about "Sound analysis" patented technology

A sound analysis device 1 according to one embodiment of the present invention comprises: an acquisition unit 131 that acquires information related to sounds acquired by a plurality of sound collection devices disposed in a predetermined region; and an output unit 133 that outputs information corresponding to the frequency of sound production by a living being in the region on the basis of the information acquired by the acquisition unit. The acquisition unit 131 acquires, for example, information indicating the arrival direction of the sound for each of the plurality of sound collection devices estimated on the basis of the sound that has arrived at each of the plurality of sound collection devices. The output unit 133 outputs the information corresponding to the frequency of sound production, for example, on the basis of a sound production position that is a position where specified sound production has been performed using the relationship between a plurality of arrival directions corresponding to the same sound that has arrived at the plurality of sound collection devices.

The invention discloses an ensemble synchronous light guide system, belongs to the technical field of intelligent musical instruments, music education and stage performance, and is particularly suitable for realizing accurate synchronization and cooperative training during ensemble of various musical instruments through light guide. The system adopts a terminal (terminal and intelligent musical instrument hardware)-central control (central control layer and tablet App synchronization and cooperation)-cloud (cloud, data storage and adaptive algorithm model) architecture, combines a Bluetooth Mesh + local area network dual-protocol synchronization mechanism, realizes high-precision synchronization of less than or equal to 5ms, provides a sound analysis algorithm (the accuracy rate is greater than or equal to 99%), a global light prompt rule and a collaborative analysis module, and realizes high-precision synchronization of less than or equal to 5ms. The problems that traditional ensemble training lacks visual synchronous guidance, cooperative perception is weak, feedback is not timely and the like are solved, high-precision, high-reliability, intelligent and personalized ensemble synchronous light guidance is achieved, and therefore ensemble efficiency and teaching quality are improved.

Provided is an abnormal sound analysis method with which it is possible to determine abnormal sound caused by deterioration of a support cushion rubber. This abnormal sound analysis method detects the frequency of an abnormal sound generated from a vehicle, and estimates the degree of deterioration of a support cushion rubber that supports a structure in the vehicle on the basis of the state of use of the vehicle. When the difference between the resonance frequency of the support cushion rubber and the frequency of the abnormal sound corresponding to the degree of deterioration is equal to or less than a threshold value, the support cushion rubber is determined as the main cause of the abnormal sound.

The invention relates to the technical field of intelligent sound boxes, and discloses an audio playing control method and system for an intelligent sound box and a storage medium, and the audio playing control method comprises the steps: obtaining environment information and user information; performing environment state recognition based on the environment information; performing emotional state analysis based on the user information; according to the environment state and the emotional state, generating an audio playing control parameter; according to the audio playing control method and device, the audio playing parameters are adaptively adjusted through real-time environment sound analysis, the space sound field control technology is adopted, directional sound release is achieved, smooth transition of the audio parameters is achieved when the environment changes, the user experience is improved, and therefore the problem of environment noise interference is solved.

The utility model relates to a multifunctional stethoscope, which belongs to the field of stethoscopes, and comprises a stethoscope head, one side of the stethoscope head is provided with a temperature adjusting mechanism, the temperature adjusting mechanism comprises a sound guide tube fixedly installed on one side of the stethoscope head, one side of the sound guide tube is fixedly provided with a main sound tube, the outer side of the main sound tube is fixedly provided with a mounting seat, and the mounting seat is fixedly provided with a handle. Mounting boxes are fixedly mounted on the left side and the right side of the mounting base correspondingly. According to the multifunctional stethoscope, the stethoscope head can be placed in the skin area of a patient for auscultation, the doctor-seeing comfort of the patient can be improved conveniently, the sound collector is used for capturing sound signals in the body of the patient, the amplifier is used for amplifying the sound signals, and the recording module is used for recording the amplified sound signals. The sound analyzing and processing module is used for analyzing and processing the recorded sound signals in real time, extracting key diagnosis data and displaying the key diagnosis data to a doctor through the display screen, and the display screen can display the heart rate and the respiratory rate and prompt conditions such as atrial fibrillation and valve noise, so that the doctor can listen to the conditions more clearly.

The application discloses an arbitrary sampling rate sound analysis method based on a pre-training neural network and relates to the technical field of sound analysis. The method comprises the following steps: acquiring input audio, converting a spectrogram, and performing short-time Fourier transform on the input audio to obtain the spectrogram. The application solves the problem of difficulty in unified modeling of various sound signals (such as 8KHz-192KHz) with large sampling rate span differences. Different from a traditional resampling-based method, the application proposes sub-band segmentation of a fixed frequency band on a spectrogram in a time-frequency domain, models the sub-bands, can decompose the spectrogram of an arbitrary sampling rate into a combination of sub-band graphs, extracts high-dimensional representations of the sub-band graphs, performs vector splicing, and obtains a final signal representation. Vector distance calculation is performed at the high-dimensional representation level to determine the similarity between sound segments. The method is not only suitable for sound, but also suitable for digital signals such as high-frequency vibration.

The invention discloses a vehicle anomaly detection method, a vehicle and a storage medium, and relates to the technical field of vehicle detection. The method comprises the following steps: acquiring original audio data, context awareness data and chassis state data of a target vehicle; performing data conversion processing on the original audio data, the context awareness data and the chassis state data to obtain a data conversion result; performing abnormal sound analysis processing on the data conversion result to obtain an abnormal sound analysis result, and performing noise evaluation processing on the data conversion result to obtain a noise evaluation result; the abnormal sound analysis result and the noise evaluation result are verified, an abnormal detection result is obtained, and the abnormal detection result is used for representing abnormal state information of the target vehicle; and displaying the anomaly detection result in a graphical user interface of the target vehicle. The technical problem that driving safety is affected due to the fact that vehicle noise and abnormal sound monitoring is insufficient in the prior art is solved.

The application discloses a vehicle anomaly detection method, a vehicle and a storage medium, and relates to the technical field of vehicle detection. The method comprises the following steps: acquiring original audio data, scene perception data and chassis state data of a target vehicle; performing data conversion processing on the original audio data, the scene perception data and the chassis state data to obtain a data conversion result; performing abnormal sound analysis processing on the data conversion result to obtain an abnormal sound analysis result, and performing noise evaluation processing on the data conversion result to obtain a noise evaluation result; performing verification processing on the abnormal sound analysis result and the noise evaluation result to obtain an anomaly detection result, wherein the anomaly detection result is used to represent abnormal state information of the target vehicle; and displaying the anomaly detection result in a graphical user interface of the target vehicle. The application solves the technical problem that, in the related art, vehicle noise and abnormal sound monitoring is insufficient, thereby affecting driving safety.

The application relates to a control method of a deep-well pump and the deep-well pump. The method comprises continuously acquiring sound data collected by a vibration sensor of the deep-well pump and dividing the sound data in a time dimension to obtain sound analysis data; performing filtering processing and noise reduction processing on the sound analysis data to obtain basic analysis data; converting the basic analysis data into image data; acquiring surrounding image data of a feature and determining a texture feature of the surrounding image data; analyzing the texture feature in a comparison mode and classifying the feature according to an analysis result; monitoring an occurrence time and / or an occurrence frequency of an abnormal feature and adjusting an operation state of the deep-well pump according to a monitoring result. The control method of the deep-well pump and the deep-well pump can judge the operation state of the deep-well pump during operation through a localized comparison processing mode and simultaneously adjust the operation state of the deep-well pump, so as to ensure safe operation of the deep-well pump.

The invention discloses a multi-mode interaction method of intelligent equipment, a storage medium and an electronic device, and relates to the technical field of intelligent home furnishing.The multi-mode interaction method of the intelligent equipment comprises the steps that knocking information sent by the intelligent equipment is received, the knock information is obtained by a voice module in the intelligent device to obtain interaction information generated when a user knocks the intelligent device, sound analysis is performed on the knock information, a first confidence coefficient of the knock information is determined, the first confidence coefficient represents the degree of the knock information used for triggering the control instruction, and when the first confidence coefficient is greater than a preset threshold value, the knock information is sent to the intelligent device. Whether the knocking function of the intelligent equipment is started or not is judged, if the knocking function of the intelligent equipment is started, and the intelligent equipment is in a standby state, a target control instruction corresponding to the knocking function is inquired, and the target control instruction is sent to the intelligent equipment; the method improves the control convenience of the intelligent device, ensures the operation accuracy, and improves the user experience.

A management system (1090) includes an air conditioner (1062), a sound input unit (1064), an operation sound analyzing unit (1016), a first preprocessing unit (1011), a command extracting unit (1014), and a control unit (1017). The sound input unit (1064) is provided in a room where the air conditioner is provided and obtains sound data (SD). The operation sound analyzing unit (1016) analyzes the sound data by a predetermined analysis method so as to obtain a determination result (RE) regarding whether an abnormality exists in the air conditioner or details of the abnormality. The first preprocessing unit (1011) performs first preprocessing on the sound data. The command extracting unit (1014) extracts a command (CM) of a user from the sound data that has been subjected to the first preprocessing. The control unit (1017) controls the air conditioner on the basis of the command.

Provided are a washing machine abnormal sound detection method and apparatus, an electronic device, and a storage medium. The method includes acquiring target sound data and target vibration data of a to-be-detected washing machine; selecting a matching sound analysis algorithm and a matching vibration analysis algorithm to analyze the target sound data and the target vibration data according to device identification information of the to-be-detected washing machine; determining the position at which an abnormal sound is generated in the to-be-detected washing machine and the cause of the abnormal sound according to the sound data analysis result and the vibration data analysis result.

The invention discloses a tuberculosis auxiliary diagnosis system fusing chest radiography and breath sound characteristics. The tuberculosis auxiliary diagnosis system comprises a breath sound acquisition module, a breath sound dynamic analysis module, a chest radiography acquisition module, a chest radiography detection module, an activity discrimination fusion module and a result output module. Breathing sound signals are collected at a plurality of standard point positions on the body surface of a patient, dynamic abnormal indexes are extracted, meanwhile, chest radiography images are obtained, focus attribute information is recognized, an activity judgment fusion module conducts consistency analysis on the chest radiography images and the dynamic abnormal indexes, standardized risk scores are generated, and high-risk, low-risk or uncertain grading results are output. According to the method, the misdiagnosis and missed diagnosis risks can be effectively reduced under the complex conditions of old focus combined activities, early hidden cases, combined chronic obstructive pulmonary disease and the like, and a visual diagnosis report containing a chest radiograph thermodynamic diagram and a breath sound frequency spectrum is provided. Compared with single chest radiography or single breath sound analysis, the sensitivity and specificity of active tuberculosis diagnosis are improved, and the method has high clinical application value.

The invention relates to the technical field of man-machine conversation, sound analysis and the like, and provides a volume test method and system based on a sound mixing algorithm in a complex audio conference scene, and the method comprises the steps: configuring a conference room audio system, arranging at least three loudspeakers and microphones to form an audio input / output pair, and enabling the position distribution to be matched with the acoustic characteristics; any loudspeaker is selected as a test sound source, and predefined stable test sound signals are sent to all microphones; each microphone receives the signal and calculates the signal intensity, and generates a test volume value of the position; and after receiving all the volume values, the DSP processor operates a sound mixing algorithm, and calculates volume data sent to the corresponding horns by the microphones in combination with an acoustic model. According to the invention, automatic and systematic volume calibration can be realized, the problems of poor test consistency, low repeatability, low efficiency, large deviation from the actual effect and the like in the traditional technology are effectively solved, and an efficient, objective and accurate conference room audio system optimization effect is achieved.

This application belongs to the field of compressor technology, specifically relating to a method for identifying valve faults in reciprocating compressors. As a crucial component of reciprocating compressors, valves have a relatively high failure rate, especially in ultra-high pressure reciprocating compressors, where valve failures are even more prominent. Existing fault diagnosis methods are mostly limited to process parameters and sound analysis, which are complex and require a high level of professional experience from testing personnel, thus limiting their widespread application in engineering practice. This application provides a method for detecting valve faults in reciprocating compressors. It obtains the temperature of the valve cover on the same side of the cylinder and processes the data based on its distribution and trend characteristics. Evaluation indicators are constructed using the similarity of the temperatures of each valve cover, and valve faults are identified using the characteristic distribution patterns of normal valve temperature data. This provides an easily applicable reference method for early and rapid identification of valve faults in reciprocating compressors.

The invention relates to a deep-well pump control method and a deep-well pump, and the method comprises the steps: continuously obtaining sound data collected by a vibration sensor of a deep-well pump body, and segmenting the sound data in a time dimension to obtain sound analysis data; performing filtering processing and noise reduction processing on the sound analysis data to obtain basic analysis data; converting the basic analysis data into image data; acquiring surrounding image data of the features and determining texture features of the surrounding image data; analyzing the texture features by using a comparison mode, and classifying the features by using an analysis result; and monitoring the occurrence time and / or occurrence frequency of the abnormal characteristics and adjusting the running state of the deep-well pump according to the monitoring result. According to the control method of the deep-well pump and the deep-well pump, the operation state of the deep-well pump in the operation process can be judged and the operation state of the deep-well pump can be adjusted at the same time in a localized comparison processing mode, so that safe operation of the deep-well pump is guaranteed.

To determine an operation state of an apparatus by a sound generation mechanism provided in the apparatus to be monitored.SOLUTION: An operation monitoring system that monitors operation states of a plurality of devices includes a first sound generating mechanism that is provided in a first device and emits a first sound in accordance with driving of a driving unit of the first device, a second sound generating mechanism that is provided in a second device different from the first device and emits a second sound having a frequency different from that of the first sound in accordance with driving of a driving unit of the second device, a sound collecting unit that collects sounds including the first sound and the second sound, an analyzing unit that analyzes the sounds collected by the sound collecting unit, a determining unit that determines the operation states of the first device and the second device based on a result of the analysis by the analyzing unit, and an output unit that outputs a result of the determination by the determining unit.SELECTED DRAWING: Figure 1

The invention relates to the technical field of live pig breeding, in particular to a live pig breeding health monitoring method, device and equipment and a medium. By integrating three different types of sensing data, namely thermal imaging data, millimeter wave radar data and audio data, multi-dimensional and three-dimensional monitoring of the health state of the live pig is realized. The thermal imaging data can accurately capture the body temperature change of the live pig, the millimeter wave radar data can obtain vital sign parameters such as respiration and heartbeat of the live pig in real time, and the audio data can sense the potential abnormal state of the live pig through sound analysis. According to the multi-source data fusion mode, the health condition of the live pigs can be reflected more comprehensively and accurately, and the accuracy of health monitoring of the live pigs is improved.

The application relates to the technical field of engineering design simulation, and provides a power battery box cover pressing test simulation method, device, equipment and medium, the method comprises the following steps: acquiring frame design parameters and cover design parameters of a power battery box; generating a power battery box simulation frame according to the frame design parameters; generating a power battery box simulation cover by simulating cover stamping on a preset flat plate cover material according to the cover design parameters; assembling the power battery box simulation frame and the power battery box simulation cover to obtain a power battery box simulation model; and performing pressing simulation on the power battery box simulation model according to preset pressing parameters to obtain a pressing simulation result. The method can quickly predict whether the battery pack has a pressing rebound abnormal sound problem before the battery pack is produced and manufactured, has high analysis precision for the abnormal sound problem of the battery pack, and can reduce the abnormal sound analysis cost.

The system according to this embodiment aims to detect abnormalities while ensuring privacy in monitoring elderly individuals. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, a detection unit, and a notification unit. The collection unit collects sound. The analysis unit analyzes the sound collected by the collection unit. The detection unit detects abnormalities from the sound analyzed by the analysis unit. The notification unit notifies the abnormalities detected by the detection unit.

The invention discloses an immersive remote maintenance system applied to a railway unattended relay station, which relates to the technical field of remote maintenance and comprises a sound source point identification unit, a position output unit, a model construction unit, a sound analysis unit, an equipment joint analysis unit, a record information generation unit and a fault verification unit. According to the invention, an equipment joint analysis unit is used for further analyzing the actual position of the sound and the sound generation reason of surrounding equipment if the generation reason does not belong to normal operation in the sound recognition process due to the fact that the sound source point of the equipment possibly has interference noise; a timer is added for the situation that the actual position is too far away from the equipment and other equipment has the same generation reason, subsequent detailed sound detection is carried out, it is guaranteed that the possibility of abnormal false alarm is greatly reduced, the inspection robot is remotely controlled through the fault verification unit, equipment fault verification is facilitated, and a maintainer can make a plan in advance conveniently.

To enable acoustic information suitable for individual identification to be easily selected from among acoustic information included in call.SOLUTION: A sound analysis method (S1) includes an extraction step (S11) for making a computer extract specific parts of sounds emitted by a plurality of individual animals, a digitization step (S12) for making the computer digitize each piece of acoustic information in each extracted specific part, a conversion step (S13) for making the computer take a logarithm of each piece of digitized acoustic information, and an output step (S14) for allowing the computer make an output part output information based on the logarithm.SELECTED DRAWING: Figure 5

The invention relates to the technical field of die stamping, in particular to cake die stamping forming equipment which comprises a machine body, the machine body is provided with a driving part, a die, a conveying part and a discharging cavity, the driving part is fixedly connected to the machine body, the die is driven by the driving part to conduct stamping, the conveying part is arranged on the machine body, and the discharging cavity is communicated with the driving part. The discharge cavity is formed in the lower portion of the machine body, the image acquisition module is fixedly arranged in the discharge cavity, and the sound analysis module comprises a first sound analyzer and a second sound analyzer. According to the system, the image acquisition module and the sound analysis module are used for acquiring the working sound of the die, the stamping environment noise and the edge burr defect image information of the aluminum wafer, so that shutdown protection is triggered in time before potential dangerous operation occurs, and corresponding safety protection operation is performed according to the monitoring information; and a worker can quickly know the position of the defect and carry out corresponding maintenance operation.

The invention relates to the technical field of information processing, and particularly discloses an anti-interference sound analysis system and method for a pig farm, and the system comprises a sound collection module which is used for collecting sound in the farm in real time, and monitoring whether a decibel value exceeds a sound threshold value or not; the voiceprint analysis module is used for identifying and analyzing live pig sound after receiving the starting instruction; the image recognition module is used for analyzing the collected video image and recognizing whether a dog exists in the image or not; the logic control module is used for triggering the image recognition module to execute a barking recognition mode when a dog exists in the image and a sound decibel value exceeds a threshold value; and if the image recognition module judges that the dog is barking in the barking recognition mode, the logic control module is also used for generating a blocking instruction and pausing the voiceprint analysis module to process the current sound data. According to the technical scheme, under the condition of low cost, interference can be effectively reduced, and the live pig voice recognition reliability is improved.

A toilet monitoring system and device for detecting toilet operating conditions through acoustic analysis are provided herein. The system includes a sensor unit configured to be mounted on a toilet bowl and a control unit coupled to the sensor unit. The control unit captures and analyzes sounds from toilet operation to identify operating conditions by comparing captured sounds to reference sound patterns. When operating conditions are detected, the control unit generates alert signals. The sensor unit enables monitoring through external mounting, while the control unit's sound analysis capabilities allow differentiation between various conditions like clogs and leaks. The system can be installed without permanent toilet modification and provides condition detection through acoustic pattern recognition.

An audio system comprising: an ambient sound analysis unit configured to identify and / or analyze early reflections and reverberation present in a first plurality of audio input signals or in a processed version of the first plurality of audio input signals; a weighting unit configured to weight the identified early reflections in the first plurality of audio input signals or in the processed version of the first plurality of audio input signals and the identified reverberation in the first plurality of audio input signals or in the processed version of the first plurality of audio input signals; and a merging unit configured to assign the weighted early reflections identified in the first plurality of audio input signals or in the processed version of the first plurality of audio input signals to a first subset of a second plurality of audio output signals and to assign the weighted reverberation identified in the first plurality of audio input signals or in the processed version of the first plurality of audio input signals to a second subset of the second plurality of audio output signals.

The invention relates to the technical field of sensors, and provides a sensor inspection and calibration method and system, after a controller responds to an inspection starting instruction, a mobile device is controlled to drive a plurality of noise sensors to enter an anechoic chamber, and a sound production device is driven to sequentially emit sound waves with different frequency bands and different amplitudes, so that wide-range and multi-working-condition dynamic calibration of the sensors is realized; after sound waves are emitted each time, the sound analysis device collects reference acoustic characteristics and uploads the reference acoustic characteristics to the controller, the controller issues the reference acoustic characteristics to each noise sensor, each noise sensor is triggered to collect actually measured acoustic characteristics, sampling synchronization and condition consistency are ensured, and each noise sensor carries out real-time detection based on the reference characteristics and the actually measured acoustic characteristics. Whether the sensors are qualified or not is automatically judged, the result is reported, the whole process is automatically completed, manual intervention is not needed, the problems that in the prior art, manual operation is relied on, efficiency is low, and only single calibration can be conducted are solved, and efficient and accurate batch calibration of the multiple sensors is achieved.

This invention relates to the field of medical device technology, and discloses a method, device, and hearing aid for hearing aid audiometry based on ambient sound analysis. The hearing aid audiometry method provided by this invention includes: acquiring the ambient sound of the current environment; determining the signal-to-noise ratio (SNR) corresponding to the ambient sound; adjusting the audiometry configuration of the hearing aid according to the SNR, and controlling the hearing aid to perform audiometry according to the audiometry configuration. This invention can automatically adjust the audiometry configuration of the hearing aid based on real-time sound field environment and noise conditions, enabling hearing tests for hearing aid users under different noise conditions, improving the accuracy and reliability of test results, adapting to the user's actual environment, providing personalized hearing support, and thus providing users with clearer and more accurate sound enhancement effects.

The utility model discloses a motor vibration abnormal sound analysis test device comprising a bottom plate, the upper part of the bottom plate is provided with a lifting mechanism, the lifting mechanism is internally provided with a support plate, the upper part of the support plate is provided with a controller, and the lower part of the support plate is provided with a mounting seat; a sound sensor is arranged in the mounting base and electrically connected with the controller through a wire, a fixing base is arranged on the upper portion of the bottom plate, and a fixing groove is formed in the fixing base. According to the utility model, the tested motor is fixed with the mounting plate through the fixing binding band, the connecting seat of the tested motor is mounted in the fixing groove, and the clamping block of the tested motor slides downwards to the bottom in the sliding groove and then rotates, so that the clamping block is positioned in the clamping groove, and the tested motor can be pre-mounted in advance through the mounting mode; and therefore, the mounting and dismounting operations are simple and convenient.

This invention provides a noise analysis method that can determine abnormal noises caused by cavitation in the main bearings of an engine. [Solution] The abnormal noise analysis method involves detecting abnormal noises from sound pressure levels corresponding to the sound frequencies of each cylinder of the engine, calculating a standard deviation from a histogram of the frequencies of the sound pressure levels of the abnormal noises, and determining that the cause of the abnormal noise is cavitation of the main bearing corresponding to the cylinder if the timing of the occurrence of the abnormal noise is after the arrival of the top dead center of compression of the cylinder within the combustion cycle of the engine, and the standard deviation is greater than or equal to a threshold.