1108 results about "Piezoelectric sensor" patented technology

The invention relates to the technical field of cable operation state detection, and particularly discloses a multi-source data driven cable operation state comprehensive evaluation method, which comprises the following steps of S1, adopting a layered distributed sensing network architecture, and deploying three types of core sensors at key nodes of a cable, through space-time calibration of the multi-source heterogeneous sensor, data consistency is improved, fusion deviation is eliminated, the problem of data islands of a traditional system is solved, and a precise evaluation foundation is laid; noise suppression and dynamic correlation modeling are adopted, environmental interference is stripped, a vibration and displacement coupling relation is quantified, limitation of a single parameter is broken through, heterogeneous fault features are captured, and evaluation comprehensiveness and sensitivity are improved; a self-adaptive threshold mechanism is constructed based on environment weight and historical data, the bottleneck of a fixed threshold is broken through, an evaluation standard is corrected along with equipment aging and environment change, misjudgment is avoided, and diagnosis robustness in different scenes is enhanced.

The invention provides a chip welding method based on machine vision and control, and the method comprises the steps: obtaining a three-dimensional model of a chip and a substrate, obtaining an initial relative position of a chip welding spot and a substrate welding pad, and generating a mechanical arm initial motion instruction; images of the chip and the substrate are shot, pose deviation is calculated through image registration, if the deviation exceeds a threshold value, a compensation instruction is generated to be fused with an initial instruction, and the track of a mechanical arm is adjusted to be aligned with a bonding pad; a temperature sensor array is constructed to monitor the temperature of the welding area, the average temperature is calculated, and if a difference exists between the average temperature and the ideal welding temperature interval, the heater power is adjusted through a proportional integral differential algorithm; a piezoelectric sensor is used for obtaining a mechanical arm joint vibration signal, the dominant vibration frequency and amplitude are extracted through fast Fourier transform, and a piezoelectric actuator is used for generating an anti-phase driving signal to counteract vibration.

The invention relates to the technical field of grinding machining, and particularly discloses a crankshaft connecting rod grinding force dynamic error compensation method and system.The method comprises the steps that a prediction reference signal is collected; a grinding force signal of the grinding wheel spindle is collected based on a piezoelectric sensor; extracting spectrum characteristic parameters according to the predicted reference signal; predicting grinding force fluctuation information according to the spectrum characteristic parameters; a feedforward compensation instruction is generated according to the grinding force fluctuation information; generating a feedback compensation instruction according to the difference between the grinding force signal and the target grinding force of the current task; synthesizing the feedforward compensation instruction and the feedback compensation instruction to generate a compensation control instruction; according to the method, a control strategy combining feedforward and feedback is adopted, the response speed and compensation precision of a system to dynamic changes of grinding force are remarkably improved, accordingly, elastic deformation caused by fluctuation of the grinding force is effectively restrained, and finally the grinding machining precision and surface quality of key parts of the crankshaft connecting rod are improved.

The invention discloses a grinding force online detection control device and method, and relates to the technical field of precision grinding machining force measurement, a spring chuck is arranged in a containing cavity, and the outer wall of a detection shaft section is a tapered conical surface; the threaded gland is connected with the connecting shaft section to axially limit the spring chuck, the mounting handle is provided with a first conical cavity, the threaded gland is provided with an avoiding hole, the piezoelectric sensors are mounted on the detection shaft section, the grinding wheel spindle acts on the piezoelectric sensors through the detection shaft section, and the piezoelectric sensors are used for detecting tangential force, normal force and axial force. The signal amplification processing module can convert charge signals output by the piezoelectric sensor into digital signals and output the digital signals to the terminal, and the terminal can control logic to control the grinding head to maintain constant-force grinding according to a preset grinding force target value. According to the method, all-directional real-time detection and control over the grinding force are achieved, the accuracy and the real-time performance are improved, and a new control method is provided for low-damage machining of hard and brittle materials.

The invention relates to the technical field of bridge pier damage detection, in particular to a multi-source data fusion bridge pier collision damage detection device and method, and the device comprises piezoelectric sensors which are distributed in a bridge pier in an array; the surface crack detection device comprises a vertical walking bracket and an annular walking mechanism; the annular walking mechanism comprises an annular track, a rotator is arranged in the annular track, and an annular driving system is further arranged on the annular track; an image acquisition device which rotates along with the circumference of the rotator is also arranged on the rotator; the device further comprises a signal processing system which is in signal connection with the piezoelectric sensor, the vertical walking support, the annular driving system and the image acquisition device. According to the method, the surface crack of the pier can be detected, the internal damage of the pier can be detected, and various detection data are fused, so that the damage state of the pier after being impacted is comprehensively determined, and the accuracy and reliability of pier damage evaluation are improved.

A histotripsy therapy system configured for the treatment of brain tissue is provided, which may include any number of features. In one embodiment, the system includes an ultrasound therapy transducer, a drainage catheter, and a plurality of piezoelectric sensors disposed in the drainage catheter. The ultrasound therapy is configured to transmit ultrasound pulses into the brain to generate cavitation that liquefies a target tissue in the brain. The drainage catheter is configured to detect the ultrasound pulses. An aberration correction algorithm can be executed by the system based on the ultrasound pulses measured by the drainage catheter to automatically correct for an aberration effect caused by the ultrasound pulses passing through a skullcap of the patient.

The invention, which relates to the technical field of traffic management, discloses an intelligent detection system for a vehicle parking space in a passenger and goods mail fusion station, and the system comprises a multi-mode sensing module which is configured to collect vehicle data information, the collection mode comprises the steps that vehicle data information is collected through an enhanced geomagnetic array, an adjustable video monitoring set, a lateral laser radar and a piezoelectric sensor; and the edge computing node module is configured to integrate an AI chip, the AI chip comprises a vehicle classification model, an abnormal parking detection algorithm and a data fusion engine, and the collected data is computed and analyzed. The edge computing node is integrated with an AI chip, and data are analyzed and processed through a built-in algorithm; the hybrid communication network transmits data through an optical fiber backbone network and a specific redundant link, self-adaptive visual adjustment and intelligent algorithm optimization are performed, the problem of complex vehicle type detection in a passenger and goods mail fusion station is solved, and the parking space utilization rate and the operation efficiency are remarkably improved.

The invention discloses a sleep state real-time monitoring method and system, and belongs to the technical field of sleep monitoring, and the method specifically comprises the steps: collecting a heart rate variability signal, an electroencephalogram signal and body movement data of a user in real time through a non-invasive sleep pad integrating a piezoelectric sensor, a flexible dry electrode and a pressure sensor; based on the physiological data, whether the user reaches an autonomous sleep state or not is judged through a first algorithm model; if not, starting an active intervention program for playing the adjustable music, and dynamically adjusting the music volume, the playing speed or the track in combination with the physiological data feedback until the user enters an autonomous sleep state; after the user falls asleep, physiological data are continuously collected, and a sober period, a light sleep period, a deep sleep period and a rapid eye movement period are divided through a second algorithm model; if the staging result is a waking period, the autonomous sleep state judgment is executed again; according to the invention, non-intrusive monitoring and personalized intervention are combined, and the monitoring comfort and accuracy are improved.

The invention discloses a flexible piezoelectric sensor array applied to an aircraft and a preparation method of the flexible piezoelectric sensor array. The flexible piezoelectric sensor array comprises a lower substrate layer, a lower electrode layer, a piezoelectric sensitive layer, an upper electrode layer, an upper substrate layer and a packaging layer, the lower electrode layer is arranged on the lower substrate layer, and the upper surface of the lower electrode layer is attached to the lower surface of the piezoelectric sensitive layer element; the upper electrode layer is arranged on the upper substrate layer, and the lower surface of the upper electrode layer is attached to the upper surface of the piezoelectric sensitive layer element; the upper electrode layer and the lower electrode layer are both used for being communicated with external test equipment so as to monitor the change of voltage or charge of the sensor in real time; and the packaging layer is embedded into the flexible piezoelectric sensor array and is used for sealing and protecting the device. The device can be conformally attached to the surface of a complex structure of an aircraft, the structure of an aircraft body cannot be damaged, real-time monitoring of aerodynamic parameters and structural health conditions of the aircraft is achieved, and then intelligent control over the aircraft is achieved.

The invention relates to the technical field of multi-oil-vane-tile detection, and discloses a multi-oil-vane-tile inner hole shape line detection method and a detection system, the detection system comprises a placing cylinder, a multi-oil-vane-tile is arranged on the outer side of the placing cylinder in a sleeving manner, the detection system further comprises a detection cylinder, a telescopic arm, a rotating motor and a control unit, and the detection cylinder is arranged on the upper portion in the placing cylinder in a transverse translation manner; the telescopic arm translates in the radial direction of the detection cylinder, the rotating motor drives the detection cylinder to rotate, the pressurization cavity and the detection cavity are each provided with a pressure sensor, and the telescopic arm comprises an arm body, a detection head and a piezoelectric sensor. The detection method comprises the following steps: S1, centering and positioning; S2, measuring the radius of a circular section of the inner hole; S3, measuring the radius of a circle of the inner hole; and S4, obtaining the shape line of the inner hole. The objective of the invention is to solve or at least alleviate the problems of complex operation and need of recalibration and positioning when a three-coordinate measuring instrument is adopted to carry out multi-oil-vane-tile inner hole shape line detection, and at the same time, the measurement accuracy can be guaranteed.

The invention relates to the technical field of intelligent logistics and unmanned shipping, in particular to an unmanned shipping system based on intelligent weighing, which comprises a multi-modal data acquisition module, a distributed weighing and dynamic optimization module, a loading execution module, a detection and verification module and an electronic shipping order generation module. The system calculates the loading sequence and path of goods through a dynamic loading optimization model, and monitors the gravity center change and load distribution of the vehicle by using an inertial sensor and a piezoelectric sensor to realize real-time adjustment and optimization; through the combination of an electronic shipping order and a digital twin entity, the system supports whole-process state tracking and abnormal early warning, and the transportation safety and the management efficiency are ensured; according to the invention, the intelligence and efficiency of logistics operation are obviously improved, and comprehensive technical support is provided for modern logistics and factory dispatching.

A method of making an acoustic sensor (e.g., a piezoelectric sensor for a piezoelectric microelectromechanical systems microphone) includes forming or depositing one or more piezoelectric layers to define a beam extending between a proximal portion and a distal tip (e.g., unsupported free end), the beam having a width in plan view that is greater at a location distal of the proximal portion than at the proximal portion. The method also comprises attaching the beam to a substrate in cantilever form so that the proximal portion of the beam is anchored to the substrate and the distal tip is a free unsupported end of the beam. One or more electrodes are disposed on or in the proximal portion of the beam.

The invention discloses intelligent bent pipe punch forming equipment and method, and relates to the technical field of pipe fitting punch forming, the intelligent bent pipe punch forming equipment comprises a machine body and a pipe blank, the machine body is provided with a die mechanism, a pushing mechanism and an elbow core rod provided with a first quick release assembly, and the die mechanism comprises an upper die and a lower die which are fixed to the machine body; the upper die and the lower die are respectively provided with forming runners which are matched with each other, and the tube blank is placed in the forming runner of the lower die. By arranging the pressure feedback mechanism and the lubricating oil spraying mechanism, the friction force between the pipe blank and the elbow core rod is converted into the pressure value change in the pressure detection cavity and transmitted to the piezoelectric sensor, the piezoelectric sensor feeds back the pressure value to the control unit, and the control unit can control the rotating speed of the oil pump according to the pressure value. The larger the friction force between the pipe blank and the elbow core rod is, the higher the rotating speed of the oil pump is, the more lubricating oil is sprayed out of the oil spraying holes, the intelligent degree of lubrication is improved, and the stamping effect is guaranteed.

The present invention discloses a multi-modal system for real-time plant hydration monitoring and irrigation management. The system comprises at least one acoustic sensor configured to emit controlled sound waves through plant tissues and detect corresponding vibrations and resonance frequencies using sensitive microphones or piezoelectric sensors to assess plant hydration. The system includes at least one bioelectrical sensor for monitoring bioelectrical signals. At least one nanotechnology-based sensor is configured to detect molecular changes in water content within plant cells through embedded or externally applied nanosensors. An aerial imaging device mounted on an unmanned aerial vehicle captures data related to canopy temperature, leaf color, and hydration indicators using infrared, multi-spectral, and thermal cameras. A central processing unit receives and analyzes data using predictive models, integrates the data via data fusion algorithm to generate a plant hydration profile, and controls water delivery through an irrigation management unit based on the hydration profile.

Systems, devices, methods, and implementations related to contact detection are described herein. In one aspect, a system is provided. The system includes a first piezoelectric microelectromechanical systems (MEMS) transducer coupled to configured to generate a first analog signal when the first analog signal is transduced from vibrations propagating through the object. The system includes a second piezoelectric MEMS transducer having configured to generate a second analog signal transduced from acoustic vibrations at a location of the object, and classification circuitry coupled to the output of first piezoelectric MEMS transducer and the output of the second piezoelectric MEMS transducer, where the classification circuitry is configured to process data from the first analog signal and data from the second analog signal, and to categorize combinations of the first analog signal and the second analog signal received during one or more time frames.

The invention discloses a rotating machine vibration protection method and system of an adaptive resonance neural network, and the method comprises the steps: collecting a millisecond vibration acceleration signal of a rotating machine through a distributed piezoelectric sensor array, obtaining the real-time working condition parameter of equipment, and generating a time-work synchronous vibration signal flow; inputting the time-work synchronous vibration signal flow into a resonance neural network, and dynamically generating a frequency domain-time varying adaptive threshold group in combination with the working condition parameters; extracting a weak impact resonance characteristic tensor by using a multi-scale resonance kernel of the resonance neural network; projecting a weak impact resonance characteristic tensor to an orthogonal fault subspace through a tensor decomposition algorithm, and separating out a decoupling fault characteristic matrix; and generating a real-time protection decision instruction set based on a comparison result of the decoupling fault feature matrix and the equipment operation historical database. According to the embodiment of the invention, the method can improve the detection sensitivity and positioning precision of a weak fault under an unsteady working condition, and achieves the real-time adaptive optimization of the vibration protection of the rotating machine.

The invention provides a flexible piezoelectric sensor and a signal detection method thereof. The flexible piezoelectric sensor comprises a protective layer PDT, a second electrode layer, a flexible composite piezoelectric film layer, a first electrode layer, a flexible square polyimide substrate and a polyurethane adhesive tape. The signal detection method comprises the steps that the flexible piezoelectric sensor is attached to a human body and a sheep, the flexible piezoelectric sensor obtains signal data generated at a test position, the signal data are obtained through the processing module, signal preprocessing is carried out based on an improved filtering method, and a data set with a specific rule of effective signals is obtained. And then the information is sent to a rear end through wireless transmission, so that accurate identification of different behaviors is realized. The invention has the advantages of simple preparation process, small size, good flexibility, convenience in use, stable performance and the like, and can realize detection of heartbeat, respiration and other signals of human bodies and animals in a complex environment.

The invention relates to the technical field of flexible piezoelectric sensors, and discloses a wide-working-condition multi-dimensional force representation flexible film piezoelectric sensor and a signal analysis method, after a pvdf piezoelectric film is cut in a paper-cut mode, regionalized electrode coating and covering are carried out, and multi-channel signal output is achieved. Therefore, characterization of multi-dimensional force can be realized on one film sensor, and meanwhile, the tension and conformal capability of the sensor are enhanced through the paper-cut design, so that the attachment requirement of a complex surface is met. A multi-layer composite structure is combined and comprises a flexible polymer protection layer and a flexible connection layer, and high sensitivity, excellent tensile property and mechanical durability are achieved through hot pressing and local ultrasonic welding. The sensing capability is enhanced, and the defect of poor tensile property of a traditional PVDF piezoelectric sensor is overcome. The preparation method is simple in process, low in cost and suitable for large-scale industrial production. In addition, the invention provides a deep learning analysis method for multi-channel signals, and classification and nonlinear fitting can be realized.

The invention provides a blasting engineering site safety risk real-time assessment and intelligent scheduling method. According to the method, a piezoelectric sensor array is arranged on a blasting engineering site to collect sound wave signals, and dynamic change information of fractures in a rock mass is captured; calculating sound wave propagation time difference data between adjacent nodes, and determining a new fracture space position and an existing fracture expansion trend according to time difference fluctuation characteristics; the fracture position, the expansion trend and the label of the current blasting operation stage are input into a fuzzy logic decision-making system, and a fracture risk distribution diagram reflecting the real-time stability of the rock mass is generated through collaborative analysis; determining a field safety risk level based on the graph, and quantifying the subsequent instability possibility of the rock mass; and a scheduling instruction is generated according to the risk level, the drilling position, the charging sequence and the detonation time sequence are dynamically adjusted, the operation process is optimized, and the instability risk is avoided. According to the method, the dynamic sensing precision and response speed of the blasting engineering field rock mass instability risk are improved.

The invention relates to the technical field of deep learning, in particular to a dialysis hypotension risk prediction system and method based on deep learning, and the system comprises a multi-point signal collection module, a signal processing module, a multi-scale causal expansion convolutional network prediction module, an osmotic pressure correction module and a dialysis plan automatic adjustment module. The method comprises the following steps: synchronously collecting physiological signals of a patient through a finger tip photoelectric volume sensor and a radial artery piezoelectric sensor array, carrying out band-pass filtering and morphological refinement processing on the signals, extracting features, and calculating pulse wave conduction time and a change rate thereof; inputting the characteristic parameters into a multi-scale causal expansion convolutional network to predict the hypotension risk in dialysis; dynamically correcting the prediction result according to electrolyte monitoring data; based on the corrected risk, a hierarchical response strategy is adopted to automatically adjust dialysis parameters, a multi-scale causal expansion convolutional network is adopted to capture physiological parameter changes on different time scales at the same time, and high-precision prediction of hypotension is achieved.

The invention relates to the technical field of vital sign measurement, in particular to a wearable underwater vital sign and environment monitoring system, which comprises a physiological signal acquisition module, a photoelectric volume pulse wave sensor, a bioelectrical impedance electrode, a piezoelectric sensor, a signal processing module, a signal processing module and a signal processing module, a wrist photoelectric volume pulse wave signal, a chest bioelectrical impedance signal and a neck piezoelectric signal are collected. According to the method, signal reconstruction is carried out based on energy proportion calculation, an electrocardiogram R wave peak value point position and an R-R interval time sequence are extracted, variability indexes are generated through frequency domain decomposition and frequency band energy statistics, time domain and frequency domain index values are calculated, weight distribution is carried out, and therefore comprehensive monitoring on the underwater physical sign state is achieved. The signal acquisition precision is improved by means of a multi-source signal acquisition mode, noise interference is eliminated through signal track matrix decomposition operation, and the signal reconstruction quality is ensured through feature vector energy proportion calculation.

A piezoelectric sensor is provided. The piezoelectric sensor comprises a first base, a first conductive layer adjacent to the first base, a second base, a second conductive layer adjacent to the second base; and a first structure between the first conductive layer and the second conductive layer. The first structure comprises a first layer with a first carbon-based material and a plurality of second structures with piezoelectricity. Each of the plurality of second structures comprises a second layer with a second carbon-based material and a third layer adjacent to the second layer. The third layer comprises a material of two-dimensional crystals of unconventional stoichiometries such as Na2Cl crystals.

The invention discloses a button switch adaptive optimization method and a storage medium. The method comprises the following steps: acquiring a tactile signal through a high-density piezoelectric sensor, and extracting pressure distribution, gradient change rate and energy concentration degree characteristics in combination with a space-time convolution kernel and a dynamic baseline calibration algorithm; integrating time-frequency domain analysis of the historical operation sequence and neural differential equation modeling, predicting an operation probability and marking an anomaly; and an anti-interference control instruction is generated by fusing environmental parameters, and multi-source data are dynamically weighted by adopting a gating attention mechanism. The system constructs a multi-stage reliability protection mechanism, and fault immunity is realized through feature drift detection, digital twin residual verification and hybrid control switching. And responding to a real-time demand, dynamically optimizing heterogeneous computing resource allocation, executing three-dimensional storage reconstruction and precision bit width switching, and forming a closed-loop cognitive evolution link.

In aspects of rollable screen device with piezoelectric sensing, a mobile device includes a rollable display screen configurable in one of multiple display states corresponding to respective device form factors. The mobile device has one or more piezoelectric sensors that detect forces applied to the rollable display screen of the mobile device. The mobile device implements a selection manager that activates one or more parameters (e.g., volume, call acceptance, call decline) of the mobile device based on the forces detected by the one or more piezoelectric sensors.

The invention relates to the field of electrical equipment monitoring, in particular to an intelligent online monitoring method and system for a high-voltage vacuum circuit breaker, and the method comprises the steps: receiving a circuit breaker control signal, and carrying out the electromagnetic pushing operation of a moving contact transmission rod through a started electromagnetic coil, thereby obtaining a motion transmission rod; monitoring the motion transmission rod based on a preset monitoring frequency and a displacement sensor, performing speed analysis on a displacement time sequence to obtain a displacement fluctuation index and an average displacement speed, calculating a displacement failure rate according to the displacement fluctuation index and the average displacement speed, and if the displacement failure rate is smaller than or equal to a displacement failure threshold value, determining that the motion transmission rod does not have the displacement failure. If yes, a piezoelectric sensor, an ionization sensor and a thermal conductivity sensor are used for executing vacuum inspection operation on the vacuum arc extinguish chamber, an arc extinguish vacuum index is obtained, and when the circuit breaker monitoring platform receives a safety signal or an early warning signal, online monitoring of the high-voltage vacuum circuit breaker is completed. The real-time performance and the accuracy of monitoring the high-voltage vacuum circuit breaker can be improved.

The invention relates to the field of flexible sensing, and discloses a flexible dual-mode sensor with a foot arch and motion detection function, the flexible dual-mode sensor comprises an upper substrate, a lower substrate, an electrode layer, a conductive pin, a PVDF doped BTO-NPs nanofiber film and a PVDF doped ionic salt solution nanofiber film, the upper substrate and the lower substrate are polyimide films (PI), the electrode layer is an immersion gold (Au) pad, and the conductive pin is arranged on the electrode layer. The conductive pin is formed by fixing a copper wire on the electrode plate through silver paste, the nanofiber membrane is obtained by PVDF doped BTO-NPs and PVDF doped ionic salt electrostatic spinning, the gold immersion (Au) bonding pad membrane is designed on the PI substrate to form polar plates and electrodes of the capacitive sensor and the piezoelectric sensor, and the electrode plate is led out through the copper wire to serve as the conductive pin. According to the flexible dual-mode sensor, the flexible PI in a specific shape is prepared to serve as the upper substrate and the lower substrate of the flexible dual-mode sensor, and the gold immersion (Au) bonding pad films are designed on the PI substrates, so that the flexible sensor has flexibility and ductility and is more attached to surfaces with different curvatures.

Systems and methods include a sensor device for detecting passing valves. The sensor device includes a housing including a first side configured to contact a wall of a pipe in a pipe system. A cover plate is coupled to a second side of the housing opposite the first side. A piezoelectric sensor is disposed in the housing and configured to detect acoustic emissions from a valve in the pipe system. A sensor holder is disposed within the housing to maintain a position of the piezoelectric sensor. A spring is positioned around a portion of the sensor holder and configured to bias the sensor holder away from the cover plate and toward the first side of the housing. A computer system is mounted to the housing and configured to determine that a valve is a passing valve based on acoustic emissions detected by the piezoelectric sensor.

The embodiment of the invention discloses a flexible piezoelectric sensor packaged by a fish scale microstructure elastomer and a preparation method thereof, the flexible piezoelectric sensor is provided with a flexible main body structure, the flexible main body structure comprises a first packaging layer, a piezoelectric layer, an electrode layer and a second packaging layer, the central area of the first packaging layer is provided with a rectangular notch, and the piezoelectric layer is arranged in the rectangular notch; a rectangular notch is formed in the first packaging layer, an elastomer packaging layer covers the rectangular notch, the elastomer packaging layer comprises a substrate and a fish scale microstructure, and the stress distribution effect of the elastomer packaging layer is optimized through the fish scale microstructure, so that the composite packaging structure of the first packaging layer and the elastomer packaging layer can guide stress to be concentrated in a specific area; the flexible piezoelectric sensor has the advantages that the flexible piezoelectric sensor is provided with the fish scale microstructure, local strain capacity is enhanced, energy dissipation is reduced, the fish scale microstructure comprises a plurality of fish scale microstructure units, the fish scale microstructure units are arranged in an array mode, and sensitivity and response speed of the flexible piezoelectric sensor under the low-pressure or low-frequency condition are further improved.

A fan blade anti-icing and deicing method based on a composite material comprises the following steps that epoxy resin and carbon fiber particles are selected to be evenly mixed and combined into the composite material; the surface of the fan blade is coated with a composite material, and a glass fiber reinforced plastic layer is formed after curing forming; fixing a plurality of piezoelectric sensors on the glass fiber reinforced plastic layer; the piezoelectric sensor is electrically connected with the signal generator and the data collector, and the data collector is electrically connected with the computer; a glass fiber reinforced plastic layer loop is conducted, set voltage is input, and the surface temperature of the glass fiber reinforced plastic layer rises to prevent icing; under the condition that the fan blade is iced, a glass fiber reinforced plastic layer loop is conducted, the surface temperature of the glass fiber reinforced plastic layer is gradually increased, the surface adhesive force of an ice layer and the glass fiber reinforced plastic layer is reduced, and the ice layer is separated from the fan blade by means of centrifugal force under the rotating action of the fan blade; blade icing is measured based on pressure stress waves, and anti-icing and deicing are actively carried out on the fan blade based on the continuous carbon fibers under the electric conduction effect.

The utility model provides a piezoelectric sensor production line. The piezoelectric sensor production line comprises a first assembly station, a second assembly station, a third assembly station, a fourth assembly station and a conveying device, wherein the first assembly station, the second assembly station, the third assembly station and the fourth assembly station are sequentially arranged along a transmission direction; the first assembly station is used for feeding a back plate and a PCB (Printed Circuit Board) onto the carrying disc and respectively assembling and fixing the pressing sheets on the back plate and the PCB; the second assembly station is used for respectively assembling and fixing the back plate and the PCB which are provided with the pressing sheets with the electric connecting wire; the third assembly station is used for overturning the PCB assembled with the electric connecting wire and then assembling and fixing the PCB and the back plate assembled with the electric connecting wire to form an assembly component; and the fourth assembly station is used for assembling and fixing the assembly component and the contact pin to form the piezoelectric sensor, and testing and marking the piezoelectric sensor. According to the piezoelectric sensor production line, high-precision and automatic assembly and manufacturing of the piezoelectric sensor can be realized, so that the product quality and the working efficiency are improved.