436 results about "Acoustic vibration" patented technology

The invention discloses a distribution box fire early warning method and system based on multi-source information fusion, and particularly relates to the technical field of distribution box fire early warning. Temperature, smoke, acoustic vibration and current harmonic signals are synchronously acquired, time sequence alignment and amplitude normalization are performed, and a dynamic baseline is generated in real time; extracting multi-scale statistics and morphological characteristics according to an adaptive window, and calibrating an operation mode through unsupervised clustering; then retrieving a matched baseline signature in a historical feature library, and calculating a multi-modal standardization deviation of a current window; mapping the deviation index into a graph node, combining a covariance edge weight, a phase synchronization index and a smoke discrete index, obtaining a coupling risk coefficient through a fusion model, and outputting a comprehensive risk index; and finally, carrying out multi-scale rate and acceleration analysis on the comprehensive risk index, triggering three-level early warning of attention, warning and danger by adopting a dynamic threshold, and correcting the threshold by utilizing operation and maintenance feedback self-learning, thereby effectively solving the problems of early warning response lag and unknown early warning level.

The invention provides an intelligent pipe surface quality detection method and system based on machine vision, relates to the technical field of industrial automatic detection and machine vision, and aims to establish a pipe surface feature library and mark shape abnormal features. The method comprises the following steps: collecting an image of a pipe in a bright and dark composite light field, extracting gray and texture features after polarization filtering processing, reconstructing a three-dimensional point cloud covering a mortar layer and a concrete layer by matching a principal component analysis dimensionality reduction fusion feature set with a feature library, and converting the point cloud into a two-dimensional expansion graph through cylindrical projection; a mortar abnormal area and a concrete abnormal area are segmented, the hole volume is calculated through point cloud residual errors in the mortar area, and internal hollowing is detected in combination with acoustic vibration excitation and thermal response; the concrete area locates defects based on point cloud features; according to the sequence of the concrete covering process before the mortar covering process, a correlation model is constructed to match and coincide the defect sites, and the detection result is output, so that the detection automation degree and accuracy can be improved.

The invention provides an anti-interference sound and vibration detection method and device, and relates to the field of sound and vibration detection. The method comprises the following steps: acquiring target special equipment and an equipment type corresponding to the target special equipment; according to the equipment type, acquiring a multi-channel high-sensitivity sensing array combination corresponding to the equipment type from a preset inspection method database; acquiring sound vibration signal data corresponding to the target special equipment based on the multi-channel high-sensitivity sensing array combination; performing modal decomposition on the sound vibration signal data by applying an improved empirical mode decomposition algorithm, eliminating pseudo-modal components and reconstructing effective modal signal data; and inputting the reconstructed effective modal signal data into a sound-vibration collaborative recognition model, and outputting a structural state recognition result of the target special equipment through the sound-vibration collaborative recognition model. According to the method and the device, the problem of low sound vibration detection accuracy of a traditional sound vibration detection technology when mechanical impact, fluid disturbance, electromagnetic interference or multi-source background noise is accompanied in the environment where the detected equipment is located is solved.

The invention relates to the technical field of switch cabinet temperature measurement, and discloses a method for measuring the temperature of a switch cabinet in real time through an infrared matrix based on multi-modal sensing. The method comprises the following steps: synchronously acquiring an infrared image sequence, an acoustic vibration signal and current waveform data of the switch cabinet through a multi-mode sensor array, and capturing equipment operation and temperature associated information; constructing a three-dimensional temperature field reconstruction mechanism model based on a heat conduction physical equation, outputting a theoretical temperature distribution value fitting a physical rule, processing multi-source data by using a spatial-temporal feature extraction network, and outputting a temperature prediction value reflecting a real-time working condition; inputting the two into a dynamic fusion module based on a Markov decision process to generate a fusion temperature distribution value, and generating a temperature anomaly positioning instruction through a rolling time domain optimization strategy according to the fusion temperature distribution value; when the deviation between the actual temperature sampling value and the fused temperature distribution value exceeds a preset threshold value, calibrating a network output layer parameter; and triggering a linkage control protocol of the switch cabinet protection system according to the abnormal positioning instruction.

The invention discloses a spiral air duct predictive operation and maintenance method and system based on digital twinning, and relates to the technical field of air duct system state monitoring and operation and maintenance, and the method comprises the following steps: deploying a high-frequency acoustic emission AE sensor and a low-frequency vibration acceleration sensor at key nodes of a spiral air duct, and taking a fan start-stop signal and operation power as working condition labels; a high-frequency acquisition mode is automatically triggered, noise reduction processing is carried out, and a multi-mode acoustic vibration original signal data set which is provided with a time sequence and a working condition label and is subjected to preliminary noise reduction is output; the high-frequency acoustic emission AE sensor and the low-frequency vibration acceleration sensor are arranged in the spiral duct, the health state of the thin-wall structure is monitored in real time through the high-frequency acoustic emission technology, weak early-stage fault signals in the duct can be accurately captured and early warning can be given out in the fault germination stage of fretting wear, sealant aging and the like of the spiral duct, and the fault early-warning effect is achieved. Real-time monitoring, early warning and accurate operation and maintenance of the spiral air pipe are achieved.

The invention relates to the technical field of concrete bubble monitoring, in particular to an aluminum film system concrete bubble dynamic monitoring and regulating method which comprises the following steps: applying a high-frequency alternating current with a first preset parameter to an aluminum film system to induce eddy current in an aluminum film and enable the aluminum film to generate thermally induced acoustic vibration; meanwhile, an eddy current thermally induced acoustic response signal reflected by an internal interface of the concrete is obtained; based on the response signal, determining current bubble state information in the concrete, including amplitude attenuation characteristics based on the sound pressure signal, frequency spectrum characteristics based on the sound pressure signal and phase delay information; and based on the bubble state information, a regulation and control instruction of a second preset parameter is generated, the regulation and control instruction is executed to adjust the parameter of the high-frequency alternating current applied to the aluminum film system, and directional traction regulation and control are conducted on the bubbles in the concrete. According to the invention, by means of an eddy current thermally induced sound technology, dynamic distribution, including the number, the particle size, the motion trail and the like, of bubbles is captured in real time, and instantaneous changes in the pouring process can be accurately reflected.

The invention provides a safety risk control method for geological storage of carbon dioxide and electronic equipment. A distributed optical fiber sensing system is arranged in at least one injection well of the target sealing and storage area in the axial direction of a shaft and penetrates through a main cover layer and a reservoir; the method comprises the following steps: acquiring background data through a distributed optical fiber sensing system, and establishing a multi-parameter baseline model including a temperature field, a strain field and background noise; temperature, strain and sound wave vibration signals are collected in real time, and key features are extracted; the key features extracted in real time are compared with a preset risk feature library, the types of risk events are identified, and the identified risk events are graded according to the spatial range and intensity of the abnormal signals; and according to the type and the grade of the risk event, generating and executing a corresponding control instruction. According to the embodiment of the invention, the optical fibers are distributed in the whole area along the shaft and the target stratum, a three-dimensional monitoring network covering the sealing body is constructed, and the hysteresis quality of traditional point type measurement and periodic exploration is overcome.

The invention belongs to the technical field of rolling bearing manufacturing, and discloses a preparation method of a high-precision robot turntable bearing, which comprises the following steps: applying a static load simulating a preset working load to a bearing ring workpiece subjected to heat treatment, and executing a set of closed-loop acoustic vibration treatment on the workpiece in a state of keeping the static load, the processing can dynamically track the resonant frequency of the workpiece to update excitation, can monitor acoustic response characteristic parameters of the workpiece in real time, and automatically terminates when the time change rate of the parameters meets a stable condition. According to the method, the specific directivity is provided for the stress release process driven by acoustic vibration energy, so that an original disordered residual stress field in a workpiece forms an optimized form capable of actively adapting to future working loads, and the problem that the static geometric precision and the dynamic service precision of a bearing are inconsistent in a traditional process is solved.

The invention relates to the technical field of oil pipe leakage detection, in particular to an underground oil pipe leakage detection system, which comprises an underground permanent monitoring unit, which comprises at least one optical fiber sensor, and the optical fiber sensor clings to the outer wall of a production oil pipe or is integrated in an oil pipe coupling and extends along the depth of a whole shaft; the ground signal processing and analyzing unit is in communication connection with the underground permanent monitoring unit; wherein the optical fiber sensor is used as a distributed temperature sensor and a distributed sound wave vibration sensor at the same time, real-time on-line monitoring of oil pipe leakage is achieved, early warning can be given out at the initial stage of leakage, the accuracy of leakage recognition is improved through collaborative analysis of bimodal sensing data, the false alarm situation is effectively reduced, and the reliability of oil pipe leakage detection is improved. A distributed measurement mode provides meter-scale spatial resolution, the depth position of a leakage point is accurately positioned, normal production operation does not need to be interrupted during system operation, and the operation cost of an oil field is reduced.

The invention relates to the field of fan spindle state monitoring, and aims at synchronously acquiring sound and vibration signals through multiple channels, realizing nanosecond time alignment by adopting a precision time protocol, and performing denoising and normalization preprocessing on the signals to improve data integration and signal fidelity. Furthermore, short-time Fourier transform and continuous wavelet transform are combined to extract multi-scale time-frequency features, and a high-dimensional combined feature vector is generated in combination with cross-correlation analysis. And mapping the feature vectors to a low-dimensional manifold space through a local linear embedding algorithm, and constructing a dynamic mode reference template. Indexes such as curvature, track length and direction entropy are monitored in real time, whether the spindle has an abnormal evolution trend or not is judged through a self-adaptive curvature threshold, and abnormity judgment is achieved in combination with track backtracking verification. According to the scheme, the abnormal starting boundary of the spindle state can be caught in a refined mode, and the early warning and operation and maintenance response capacity of fan operation is effectively improved.

The invention relates to a conduit assembly (70, 90) for a fluid line (39, 42, 43) for a system (1, 101) for semiconductor technology, comprising at least one damping element (72.1, 72.2, 92) for damping acoustic vibrations in the fluid (79), wherein the conduit assembly (70, 90) has a compressible primary volume (77.1, 77.2, 97) into which the damping element (72.1, 72.2, 92) moves at least partially upon deformation. The conduit assembly (70, 90) is characterized in that it has a compressible secondary volume (78.1, 78.2, 98) which is formed as a part of the primary volume (77.1, 77.2, 97). The invention further relates to a system (1,101) for semiconductor technology with a conductor assembly (70,90) according to one of the embodiments described.

The invention discloses an acoustic excitation digital modulation noise reduction method and system for laser acoustic vibration detection and application. Comprising the following steps: step 1, acquiring single-point measurement time sequence parameters of laser vibration measurement equipment, step 2, measuring response characteristics of an audio excitation device, and determining pre-stabilization time required by an audio excitation signal from starting to reaching a stable amplitude; step 3, constructing an on-off keying modulation function, generating a digital gating function according to the time sequence parameter and the pre-stabilization time, and performing time domain multiplication on the audio excitation signal and the digital gating function to generate a modulated intermittent audio excitation signal; and 4, controlling the audio excitation device to play intermittent audio excitation signals, and synchronously triggering the laser vibration measurement equipment to scan and collect the measurement points on the surface of the object to be measured according to the time sequence parameters. Through the on-off keying digital modulation technology, audio excitation can be started only in the effective detection time period of laser vibration measurement, and therefore the average noise level and equipment power consumption are remarkably reduced.

The invention discloses a communication machine room environment monitoring system and device, and relates to the technical field of machine room environment monitoring, and the communication machine room environment monitoring system comprises a fusion alarm module, a fault root cause analysis module and a dynamic air duct optimization energy saving module. The fusion alarm module significantly reduces false alarms through heterogeneous sensor space-time alignment, confidence weighting and sound vibration interference filtering; the fault root cause analysis module constructs an equipment dependence graph based on CAD topology and CFD wind resistance, and uses a Bayesian network to lock root cause equipment in a second level and perform 3D visual positioning; the dynamic air duct optimizing and energy-saving module controls a fan and a flow guide plate in a closed-loop mode through a high-resolution thermodynamic diagram and reinforcement learning, cold energy is precisely put according to needs, energy is saved, and consumption is reduced. The system effectively improves the alarm reliability, shortens the fault positioning time, and reduces the PUE of a machine room.

The invention relates to an ultrasonic vibration assisted large-width copper plate strip continuous extrusion short-process technology, and belongs to the technical field of metal processing. A copper raw material is subjected to mechanical cleaning and then ultrasonic cleaning, and the surface cleanliness of the raw material is guaranteed; the cleaned copper raw materials are fed into continuous extrusion equipment, and ultrasonic vibration is adopted for assisting continuous extrusion; after the extruded copper plate strip is cooled, spraying a suspension containing cerium (IV)-sodium dodecyl benzene sulfonate-pyrrolidone nano aluminum oxide additive on the surface of the copper plate strip, and drying; straightening by using a multi-roll straightening machine to obtain a large-width copper plate strip; the cerium (IV)-sodium dodecyl benzene sulfonate-pyrrolidone nanometer aluminum oxide auxiliary agent is prepared from nanometer aluminum oxide, DMF (Dimethyl Formamide), sodium dodecyl benzene sulfonate, N-vinyl pyrrolidone, ammonium persulfate and cerous sulfate (IV); the copper plate strip prepared by the invention has relatively high density, relatively high tensile strength and ductility, and the mechanical property of the copper plate strip is remarkably improved.

The utility model discloses an ultrasonic wire feeding additive manufacturing device which comprises a base plate, a tungsten electrode welding gun, a wire feeder and an ultrasonic vibration system. The tungsten electrode welding gun, the wire feeder and the ultrasonic vibration system are jointly connected with a positioning rod, and the positioning rod is movably arranged above the base plate. The ultrasonic vibration system is located on one side of the wire feeder and used for generating high-frequency vibration signals and transferring the generated high-frequency signals to a welding metal wire. According to the ultrasonic wire feeding additive manufacturing device, ultrasonic vibration is applied to the welding metal wire, so that a high-frequency vibration signal is transmitted into the molten pool through the welding metal wire, cavitation is generated in the molten pool, beta columnar crystals generated in the solidification process can be effectively broken, and the production efficiency is improved. And the anisotropy problem of the internal structure and the mechanical property in the wire feeding direction and the stacking direction is solved, that is, the performance of an additive manufacturing part is improved.

The application belongs to the technical field of distributed optical fiber sensing, and particularly relates to a long-distance distributed optical fiber broadband acoustic vibration sensing system. The application utilizes the same laser to transmit and generate back Rayleigh scattering light and interference light in the same sensing optical fiber, and further constructs a distributed optical fiber acoustic vibration sensing system combined with Φ-OTDR and MZI, which comprehensively utilizes the performance advantages of both, utilizes a very simplified optical system scheme, realizes the function fusion of the two sensing structures on one sensing optical fiber, reduces the resource waste caused by the transmission of sensing signals by different sensing optical cables respectively, maximizes the optical fiber resource utilization rate, and reduces the system cost; utilizes a frequency division multiplexing demodulation scheme in the digital domain, expands the frequency response range on the basis of ensuring the high positioning accuracy of the system, realizes the simultaneous detection of the two systems by a single core, simultaneously realizes the high positioning accuracy and the continuous non-blind area detection in the broadband frequency range, and improves the reliability.

The invention relates to the technical field of moisture content measurement, and discloses a corrugated board moisture content measurement method and system, and the method comprises near infrared spectrum data, microwave transmission data and acoustic vibration data; calculating a spectral feature vector; constructing a microwave response matrix; determining an acoustic damping coefficient; calculating stability indexes of the spectral feature vector, the microwave response matrix and the acoustic damping coefficient in a preset time window, and calculating a consistency index and a confidence coefficient weight; fusing the spectral feature vector, the microwave response matrix and the water content corresponding to the acoustic damping coefficient through a Kalman filtering algorithm, and outputting initial water content; dynamically adjusting a process noise covariance matrix of Kalman filtering, and when the residual error of any data source exceeds a preset statistical threshold value, resetting the confidence coefficient weight corresponding to the data source to zero; and repeatedly executing fusion, and outputting the water content. According to the method, three measurement means of near infrared, microwave and acoustics are adopted, the water content state of the corrugated board can be represented more comprehensively, and the water content measurement precision is improved.

The invention discloses a microwave cavity heating structure based on acoustic vibration and a microwave heating homogenization method. Comprising a microwave heating cavity, an acoustic vibration device, a dynamic metal structure, a microwave generator and a temperature sensor, the microwave heating cavity is internally provided with an inner cavity, and the bottom surface of the inner cavity is connected with a plurality of dynamic metal structures which are distributed at equal intervals in an array manner; the acoustic vibration device is arranged on the side wall of the inner cavity and used for generating acoustic vibration to the inner cavity, the microwave generator is arranged on the side wall of the inner cavity and used for injecting microwave energy into the inner cavity to form an electromagnetic field, and the dynamic metal structure generates mechanical vibration under the influence of the acoustic vibration so as to dynamically change the distribution of the electromagnetic field of the inner cavity; and the temperature sensor is arranged at the top of the microwave heating cavity. The problems of hot spots and non-uniform heating in the microwave heating process can be effectively solved, the heating efficiency and quality are improved, and the microwave heating device is suitable for the fields of food processing, material treatment, chemical reaction and the like.

The invention relates to a fruit maturity nondestructive intelligent detection method and system based on high-frequency dynamic excitation and acoustic vibration signal analysis. The method comprises the following steps: controlling an excitation device to apply high-frequency transient mechanical excitation to a fruit; synchronously collecting a vibration response signal on the surface of the fruit and an internal sound wave signal; extracting dynamic feature vectors including formant characteristics, sound wave attenuation coefficients and time domain attenuation constants from the sound vibration signals; inputting the feature vector into a time sequence convolutional network model to obtain a final maturity grade and a judgment confidence coefficient; and starting an active learning mechanism for a low-confidence sample, and continuously optimizing the model through manual annotation and incremental learning. By detecting the internal physical characteristics of the fruits, the defects that the traditional visual and tactile methods are interfered by surface states and the internal maturity is difficult to judge are overcome, and rapid, lossless and high-precision intelligent detection of the maturity of the fruits with self-evolution capability is realized.

The invention discloses a predictive maintenance method for an implicit state of power equipment, and belongs to the technical field of intelligent operation and maintenance of the power equipment. According to the method, multi-mode information such as SCADA data, acoustic vibration data, infrared thermal image data and partial discharge data is collected, space-time alignment and attention mechanism fusion are carried out, and a hidden state code representing the internal health state of equipment is extracted; a dynamic state deduction model combining physical constraint and data driving is constructed, and prediction of the future state evolution trajectory of the equipment is achieved; and performing a virtual maintenance experiment in the digital twin based on a prediction result, and generating an optimal maintenance strategy through multi-objective optimization. According to the method, the problems that the hidden state of the equipment cannot be sensed and the prediction capability is lacked in the prior art are solved, the conversion from passive maintenance to predictive maintenance is realized, and the accuracy and foresight of operation and maintenance of the power equipment are improved.

The invention discloses a monitoring system and method for determining an abnormal geologic body based on distributed optical fiber sound wave vibration, and relates to the technical field of distributed optical fiber sound wave detection.The monitoring system comprises a distributed optical fiber sensing unit, a signal excitation unit, a photoelectric demodulation unit, a signal processing and analyzing unit, a result recording and outputting unit and the like; the distributed optical fiber is used for continuously collecting stratum vibration response; the signal excitation unit applies controllable disturbance to a known reference position to induce a potential abnormal geologic body to generate an inactive excitation response signal; the photoelectric demodulation unit performs phase demodulation on backscattered light transmitted back by the optical fiber to form distributed vibration measurement data; and the signal processing and analyzing unit is used for filtering and denoising the data, establishing a quantitative mathematical model of a signal incident angle and signal intensity, solving an epicentral distance and an incident angle and calculating the spatial position of an abnormal geologic body by combining propagation attenuation correction and least square inversion, and is suitable for dangerous section identification and avoidance decision before mining and construction.

The invention relates to the technical field of power equipment on-line monitoring and intelligent diagnosis, in particular to an extra-high voltage transformer multi-modal data conflict fault misjudgment analysis method based on a DS evidence theory and graph enhancement. According to the invention, under the unified time reference and the electromagnetic-thermal physical topology constraint, the consistency fusion of the three-mode data of electromagnetic, acoustic vibration and distributed optical fiber temperature is realized, and the layered suppression and traceable positioning are carried out on evidence conflicts caused by coupling uncertainty and transient noise in the fusion process. Therefore, reliable fault confidence evaluation is output, and an accurate misjudgment traceability basis is provided. A traceable fault confidence coefficient is output in a unified time reference and a physical topology constraint through an electromagnetic-thermal dynamic coupling map which is synchronously acquired by hardware-level three modes and is updated in real time along with working conditions, and a layered D-S evidence conflict suppression and traceability algorithm.

The embodiment of the invention provides a test system for horizontal well fracturing simulation, and belongs to the field of oil and gas field reservoir fracturing. The testing system comprises a shaft comprising an opening in the side wall of the shaft; the fracturing fluid injection device is used for injecting fracturing fluid from the inlet of the shaft, so that the fracturing fluid flows out of the open hole; the signal monitoring device comprises an optical fiber fixed on the outer surface of the shaft, and the optical fiber is used for acquiring the vibration signal and converting the vibration signal into a photoelectric signal; the fracturing fluid circulating device comprises a first connecting pipeline located between the open hole and the fracturing fluid injection device. According to the invention, a distributed optical fiber monitoring system is adopted to record acoustic vibration signals caused under the stable flow condition of the system, and DAS signals under various working conditions can be collected and subjected to data analysis. Meanwhile, the test system can further provide data support for subsequent construction of a machine learning association model.

The application discloses a kind of magnetoacoustic electric imaging method, system, equipment, medium and product, it is related to magnetoacoustic electric imaging field, the method comprises: according to the number of array elements of annular array probe Randomly generate multiple sets of space delay coding;Space delay coding is set on the annular array probe, and the corresponding ultrasonic wave of space delay coding is emitted by annular array probe;The delay of each array element is different, and the ultrasonic wave waveform emitted by each array element is identical;While array element emits ultrasonic wave, the magnetoacoustic electric signal excited by space delay coding is collected by electrode, and the ultrasonic wave emission of each set of space delay coding corresponds to the collection of one magnetoacoustic electric signal;According to each set of space delay coding, corresponding acoustic vibration velocity field is simulated and generated;According to the acoustic vibration velocity field corresponding to all space delay coding, system matrix is determined;According to system matrix and magnetoacoustic electric signal, reconstruct conductivity image, realize magnetoacoustic electric imaging, and the application improves spatial resolution and improves imaging effect.

The invention relates to the technical field of intelligent household electrical appliance control and biological characteristic recognition, and discloses an electric cooker voice safety control system and method based on voiceprint verification, the system comprises a multi-mode sensing array, a storage unit and a core processing unit, the method comprises the following steps: generating and storing equipment physical fingerprints representing unique physical characteristics of equipment, the method comprises the following steps: generating and storing a multi-dimensional feature template comprising an acoustic voiceprint, living body interaction and a spatial vector template for an authorized user, when a voice instruction is received, synchronously acquiring a to-be-detected acoustic and structural vibration signal by a system, executing layered collaborative authentication, and sequentially performing spatial domain verification, physical interaction verification and user identity verification, the physical interaction verification identifies the living body attribute of the sound source by comparing the real-time sound vibration coupling characteristic with the equipment physical fingerprint, so that the non-living body attack is effectively identified and intercepted, and the safety and reliability of voice control are improved.

The invention discloses an ultrasonic amplitude-change pole vibration auxiliary machining system which comprises an ultrasonic generator, a machine tool spindle, a machining tool and a controller. A plurality of mounting lugs capable of mounting transducers are arranged on a machine tool spindle, during fixing, the tail ends of the transducers are fixedly connected to the mounting lugs, vibration transmission supports are arranged between the mounting lugs and a machining tool, ultrasonic vibration is transmitted to the machining tool through the vibration transmission supports, and the machining tool generates high-frequency vibration with multiple frequencies compounded. Stress is prevented from being excessively concentrated in the cutting process of the cutter device; according to the invention, the plurality of mounting lugs on which the transducers can be mounted are arranged on the machine tool spindle, and the vibration energy of the plurality of transducers can be accumulated at the tool bit of the machining tool in cooperation with the vibration transmission bracket, so that the tool bit of the machining tool generates high-frequency ultrasonic vibration during cutting, the surface machining precision is improved, and the wear of the machining tool is reduced.

The invention discloses a titanium alloy deformation behavior testing device and method, and relates to the technical field of material deformation testing, the titanium alloy deformation behavior testing device comprises a universal testing machine, a clamping module, an ultrasonic vibration module, an electric pulse excitation module and a cooperative control module, the clamping module comprises a ceramic chuck main body, and a conductive contact is arranged on the clamping surface of the ceramic chuck main body; the ultrasonic vibration module comprises an ultrasonic vibrator, and the ultrasonic vibrator is arranged on one side of the ceramic chuck body and used for applying an ultrasonic vibration signal to the titanium alloy sample; the electric pulse excitation module is connected with the conductive contact and is used for applying an electric pulse signal to the titanium alloy sample; the cooperative control module is connected with the clamping module, the ultrasonic vibration module and the electric pulse excitation module. According to the invention, synchronous loading of mechanical load, electric pulse and ultrasonic vibration can be realized, and the clamping module solves the problems of electric conduction, vibration transmission and interference resistance, so that the deformation behavior of the titanium alloy in the electro-acoustic composite field can be accurately and reliably tested.

The invention provides a centralized heating network management monitoring method and system based on artificial intelligence. The method comprises the steps that pressure, temperature, flow and pipe wall acoustic vibration time sequence data of all nodes are collected; a multi-modal fusion feature vector is generated by calculating a hydraulic unbalance degree and an enthalpy difference change rate and extracting an MFCC feature of an acoustic vibration signal. A pipe network topology is initialized into a graph structure, a relational attention mechanism is utilized to dynamically calculate an inter-node association weight, and a time-varying thermal propagation graph is constructed according to the inter-node association weight. Taking the current features as node attributes, and performing graph convolution on the graph structure to extract spatial features; and fusing and extracting spatial-temporal characteristics through a double-branch time convolution module, inputting the spatial-temporal characteristics into the full-connection network, outputting fault types and positions, and optimizing the model by adopting a topology perception weighting loss function during training.

The invention relates to a pipeline acoustic vibration analysis method and system and a computer readable medium, and the analysis method comprises the steps: obtaining a three-dimensional pipeline model, and constructing the three-dimensional pipeline model into a pipeline geometric model; performing grid division on the pipeline geometric model to obtain one-dimensional sound units; generating a one-dimensional sound vibration calculation file according to the one-dimensional sound unit; calculating the inherent frequency of the pipeline acoustic vibration according to the one-dimensional acoustic vibration calculation file; and according to the inherent frequency of the acoustic vibration of the pipeline, the flow-acoustic coupling risk and / or the acoustic-solid coupling risk of the pipeline are / is judged. According to the method, dimension reduction processing can be automatically carried out on the three-dimensional pipeline model, the flow-sound coupling risk and the sound-structure coupling risk can be analyzed, and the efficiency and accuracy of analyzing the corresponding coupling phenomenon of the pipeline are improved.

The application provides a remote acoustic signal pickup method and system based on phase coding microwave sensing, comprising: constructing a phase coding matrix, and performing phase shift control on the transmission signals of multiple transmission antennas; controlling the multiple transmission antennas to simultaneously transmit a linear frequency modulation continuous wave signal, so that the main lobe of a synthesized beam is directed towards the direction of a to-be-detected acoustic source or the direction of a target medium; using one or more receiving antennas to receive echo signals of the acoustic source target, to obtain a corresponding number of baseband signals; performing acoustic vibration phase demodulation on the corresponding number of baseband signals, to extract vibration information of the surface of the medium target caused by the vibration information of the acoustic source or caused by the excitation of the acoustic wave; and reconstructing the acoustic signal, to realize remote acoustic pickup. The application overcomes the problems of weak echo signals, low signal-to-noise ratio, large adjacent target interference and low quality of reconstructed acoustic signals in remote acoustic pickup, and improves the signal-to-noise ratio and sensing distance of remote acoustic pickup.