363 results about "Mechanical sensor" patented technology

The invention relates to the technical field of detection, and discloses a polyurethane material performance detection method, which comprises the following steps: clamping a material to be detected on a loading platform, cooperatively controlling and simulating the stress effect of a target application scene, and capturing a time sequence image of the microstructure of the surface of the material by adopting a visual unit; synchronously acquiring internal strain distribution data through a distributed strain sensing array, acquiring a dynamic stress response spectrum in combination with a piezoelectric mechanical sensor, and generating a multi-modal deformation characteristic data set; performing crack density and texture orientation analysis on the time sequence image, extracting a crack growth rate and a direction consistency coefficient, and marking a strain concentration area; calculating an apparent elastic modulus attenuation rate based on the dynamic stress response spectrum, establishing a material performance degradation model, generating a dynamic flexible performance index through a weighted fusion algorithm, and performing graded evaluation on the material; material detection is upgraded from a single mechanical test to a multi-physics coupling intelligent evaluation system, and accurate and reliable detection support is provided for multiple application scenes.

The invention relates to the technical field of civil engineering, and discloses a foundation pit slope protection pile concrete strength evaluation and intelligent reinforcement integrated method which comprises the following steps: S1, data acquisition and transmission: acquiring a slope protection pile structure state and environmental parameters in real time through a multi-source sensor network, the sensor network comprises a mechanical sensor, an environment sensor and a hydrological sensor which are deployed in a spatial distribution manner; s2, data preprocessing and feature extraction: performing space-time fusion processing, including noise suppression, space-time reference unification and multi-dimensional feature extraction, on the acquired multi-source sensing data, and generating a structured feature matrix; according to the technical scheme, the multi-source sensor network and the deep learning model are combined, the strength of the foundation pit slope protection pile concrete is monitored and evaluated in real time, the accurate and lossless strength prediction effect is achieved, the problems of destructive testing and precision limitation are avoided, and the test efficiency is improved. The defects of low precision and poor real-time performance under complex geological conditions in the prior art are overcome.

According to the electronic cigarette sensor with the partition wall structure, a partition wall, a step and a Z-shaped air inlet channel are formed in an injection molding cavity of a lead frame, the high step is provided with an air inlet channel penetrating through the high step and the bottom wall of the lead frame, the air inlet channel is in an inverted Z shape, the high step is further provided with a micro-electro-mechanical sensor, and the micro-electro-mechanical sensor is arranged on the bottom wall of the lead frame. A low step is arranged at the position, away from the high step, in the cavity, and protective nets are arranged on the upper cover and the lower cover. The lead frame is provided with a circular cavity, the height of the bottom of the circular cavity is slightly higher than that of the star-shaped bonding pad, the circular cavity is in a concave semi-wrapping state, and good sealing performance and good mounting welding performance during mounting of the formed electronic cigarette sensor are facilitated. A partition wall is further arranged in the cavity, the ASIC chip and the micro-electro-mechanical sensor are isolated through the partition wall, the micro-electro-mechanical sensor is protected from being polluted by manufacturing procedures, tobacco tar and the like, and a sealed oil-proof air channel is provided for the oil-proof cotton.

A method for intraoperative neural monitoring during a spinal decompression procedure, performed by a system comprising a processor, includes: generating an electrical stimulus with a controlled electrical current; transmitting the stimulus to an electrode contacting a nerve of a subject; receiving a mechanomyography (MMG) output signal from a mechanical sensor contacting a muscle innervated by the nerve; determining a nerve function parameter; and displaying the determined nerve function parameter relative to an identified target current range or statistical profile.

The invention discloses an environment-friendly anti-static solid wood composite floor load detection device based on a mechanical sensor, and relates to the technical field of floor load detection.The environment-friendly anti-static solid wood composite floor load detection device comprises a bottom table, two vertical frames are fixed to the top face of the bottom table, a round pipe is fixed to the top of the front face of each vertical frame, and a concentric-square-shaped frame is fixed to the front face of each round pipe; the concentric-square-shaped frame is obliquely arranged on the right side of the round pipe by 45 degrees, a hydraulic device penetrates through the inner wall of the concentric-square-shaped frame and is fixed to the inner wall of the concentric-square-shaped frame, a double-groove plate is fixed to the bottom face of the telescopic end of the hydraulic device, grooves are formed in the left side and the right side of the double-groove plate, first rubber rollers are rotationally installed on the inner walls of the grooves of the double-groove plate, and a concave plate is fixed to the top face of the bottom table. The concave plate is located between the two vertical frames, two sliding grooves are formed in the bottom end of the interior of the concave plate, a floor sample in the groove strip plate rotates to be attached to the lower portion of the double-groove plate, and therefore the problem that the double-groove plate compresses the surface of the floor sample in an air mode, and consequently equipment load detection is not accurate is solved.

The invention discloses a position-free sensing method for a joint module based on rotating speed estimation and virtual Z correction. The method comprises the following steps: firstly, acquiring three-phase current of a permanent magnet motor for a joint module, and acquiring d-axis estimated current of a current period based on a d-axis current model in combination with a state quantity of the permanent magnet motor in a previous control period; based on the d-axis estimated current, constructing a rotating speed estimator taking the d-axis estimated current error as a sliding mode surface to obtain the estimated rotating speed of the motor rotor; integrating the estimated rotating speed, and combining with the initial position of the rotor to obtain the estimated position of the motor rotor in the current period; at the same time, at the zero crossing point of the stator phase current, the estimation position is forcibly corrected to a predetermined electrical angle corresponding to the zero crossing point so as to eliminate the integral error. The invention aims to directly estimate the rotating speed without depending on any intermediate signal, and simulate the correction mechanism of a mechanical sensor to eliminate the estimation error, thereby realizing high-performance noise-free full-speed-domain position-free sensing control.

The invention relates to a sensor, a measuring device and a measuring method for in-situ dynamic measurement of mechanical properties of a miniature bionic flapping-wing air vehicle, and belongs to the field of MEMS (micro electro mechanical system) mechanical sensors. Based on a micro electro mechanical system (MEMS) processing technology, a six-axis mechanical sensor is designed and prepared, and a measuring device is designed and prepared by integrating the six-axis mechanical sensor, so that integrated assembly of the mechanical sensor and the miniature flexible bionic flapping wing is realized, and in-situ dynamic measurement of the mechanical property of the miniature bionic flapping wing aircraft is realized. The problem that in-situ dynamic measurement of the mechanical property of the bionic flapping-wing aircraft is difficult to achieve through an existing measurement method is solved, and test data support is provided for further optimizing the flapping-wing structure and improving the flight efficiency.

The invention provides a non-contact measuring device and method for medium pressure in a pipeline based on an ultrasonic surface wave array, and the device comprises an ultrasonic surface wave array transmitting module, an ultrasonic surface wave receiving module, a signal amplification circuit, a high-speed signal collection card, a drive circuit, and an industrial control computer. Respectively sending driving instructions to the driving circuit when the medium pressure in the test pipeline is zero and the test pipeline is in a working state; after the amplified ultrasonic surface wave signals are received, extracting frequency signals including a zero-pressure state ultrasonic surface wave array frequency f0 and a working state ultrasonic surface wave array frequency f, calculating to obtain an ultrasonic surface wave array frequency difference value, and calculating a pressure indicating value through a pressure calculation formula; based on the ultrasonic surface wave array, the pressure of the medium in the pipeline is inverted by measuring the frequency of the ultrasonic surface wave, high-precision non-contact measurement of the pressure of the medium in the pipeline can be realized, and the sensor belongs to a novel mechanical sensor.

The invention relates to the technical field of sensors, and provides a trestle stress monitoring method and system based on a mechanical sensor. The method comprises the steps of obtaining trestle stress monitoring flow through a stress monitoring network, performing health risk prediction, and constructing a multi-node trestle risk curve; constructing a monitoring deployment diagram of each trestle area according to the stress monitoring network, performing reliability evaluation, and establishing a reliability evaluation space; on the basis of the space, optimization guide feature analysis is carried out on the stress monitoring network according to constraints, and optimization guide features are generated; performing deployment adjustment on the stress monitoring network according to the characteristics to obtain an adjustment space; and performing optimization analysis according to the adjustment space, generating a stress monitoring deployment optimization strategy, and performing optimization adjustment. The technical problems that the monitoring result is inaccurate and the health condition of the trestle cannot be reflected in real time due to insufficient deployment optimization of the mechanical sensor in trestle stress monitoring are solved, and the technical effect of improving the reliability and accuracy of monitoring deployment of each area of the trestle is achieved.

The invention discloses a power battery multi-field coupling in-situ test platform and method, and relates to the technical field of battery test.The power battery multi-field coupling in-situ test platform comprises a test module and a data acquisition module, and the test module comprises an explosion-proof box inner container and an explosion-proof box inner container partition plate arranged in the explosion-proof box inner container; the explosion-proof box inner container partition plate divides the interior of the explosion-proof box inner container into a test area and a temperature and humidity control area, and the temperature and humidity control area is communicated with the test area through the explosion-proof box inner container air outlet. A battery clamp for fixing a battery, an extrusion needling mechanism for executing an extrusion needling test on the battery, and a drop hammer mechanism for executing a dynamic impact test on the battery are arranged in the test area; the data acquisition module comprises charging and discharging equipment, an electrochemical workstation, a multi-channel data recorder, a camera, an infrared thermal imager, a displacement sensor, a mechanical sensor, a stress sensor, a strain sensor and a thermocouple. And the actual performance of the power battery under the multi-dimensional working condition is comprehensively evaluated.

The invention provides an intelligent wearable high-sensitivity visual mechanical sensor and a preparation method thereof. The preparation method comprises the following steps: firstly, mixing a liquid crystal monomer, a chiral agent, a cross-linking agent, a chain extender, a photoinitiator and a catalyst, and carrying out prepolymerization reaction to obtain a first solution; then coating the first solution on the film-shaped PU adhesive to enable the cholesteric liquid crystal to complete evaporation-induced self-assembly, and then irradiating and curing under an ultraviolet lamp to obtain a color-changing film; and finally hot-pressing the color-changing film on the fabric to obtain the intelligent wearable high-sensitivity visual mechanical sensor. The color-changing film and the textile are combined through the PU adhesive, amino in the PU adhesive reacts with carbon-carbon double bonds in the color-changing layer by controlling the chemical composition of the color-changing layer, the color-changing layer and the PU adhesive are combined more firmly, the PU adhesive can permeate into the textile in the hot pressing process, and the color-changing effect is improved. The color-changing layer, the middle layer and the textile are tightly combined, and the wearable force response visual sensor better fitting the three-dimensional curved surface of the human body is prepared.

This invention relates to broadband acousto-mechanical sensing (BAMS) systems and methods for monitoring physiological signals of a living subject, and applications of the same. Specifically, the system includes one or more wireless, skin-interfaced BAMS devices disposed on the living subject to form a body area network. The BAMS devices are time-synchronized and wirelessly communicate with each other, and each BAMS device includes an accelerometer, such as an inertial measurement unit (IMU), to capture acceleration data from the living subject and an acoustic mechanical device configured to capture body sounds from the living subject. A control device being time-synchronized and wirelessly communicate with the BAMS devices is used to manage and process the acceleration data and the body sounds from the one or more BAMS devices in order to generate information of body movements and body sounds of the living subject.

The invention relates to the technical field of mechanical sensors, and discloses an automobile wire harness terminal tension testing device and a detection method thereof.The automobile wire harness terminal tension testing device comprises a testing table, a conveying table and a conveying table are arranged on the two sides of the testing table respectively, a transmission device is arranged between the conveying table and the conveying table, a detection device is arranged on the conveying table, and a fixing piece is arranged on the conveying table; the transmission device comprises a rotating piece and a clamping piece, and the detection device comprises a rotating piece, clamping jaws arranged on the periphery of the rotating piece, an adjusting piece for controlling displacement of the clamping jaws, a tension sensor and a storage box. According to the invention, through the arrangement of the transmission member, single transportation of the wire harness and tensioning of the wire harness, and the arrangement of the fixing member, the middle part of the wire harness is fixed, so that the problems that the wire part of the wire harness is in an unfixed state and the tension part applied by the tensile machine is borne by the wire, and therefore, after the tension tester applies the maximum tension value to the wire harness, the tension of the wire harness is not influenced are solved. And the detection result of the tensile force between the wire harness and the terminal is not accurate.

The invention relates to the technical field of tool machining data acquisition, and provides a broaching tool machining data acquisition method and system, and the method comprises the steps: obtaining original information flows from various mechanical sensors, carrying out the time alignment of the original information flows, and obtaining the aligned original information flows; identifying a transient event based on the aligned original information flow, and extracting multi-dimensional features of the transient event; constructing a multi-channel space-time correlation fingerprint database; constructing a real-time multi-channel event sequence on each channel based on the transient event and the multi-dimensional features, and matching the real-time multi-channel event sequence with a multi-channel space-time association fingerprint database to obtain a fingerprint matching result; and based on the real machining event fingerprints and the electromagnetic noise fingerprints, a real machining event and electromagnetic noise are distinguished in combination with a fingerprint matching result, so that the broaching tool state and machining abnormality are recognized. The method has the effect of improving the accuracy of broaching tool state recognition and machining abnormality diagnosis.

The invention provides a method and system for evaluating facial skin aging, and the method comprises the steps: obtaining visible light, ultraviolet reflection and near-infrared spectrum images through multispectral imaging, and extracting skin texture, color spots and capillary network parameters through preprocessing; constructing a three-dimensional facial skin model, and measuring skin elasticity parameters in combination with a mechanical sensor; and inputting the parameters into a deep learning aging evaluation model, outputting a comprehensive evaluation report containing the physiological age of the skin, the elasticity grade and the regional aging difference index, and providing personalized aging protection suggestions. According to the method, multi-modal data and a deep learning technology are fused, multi-dimensional quantitative evaluation is realized, the method has the characteristics of high precision, objectivity and individuation, a powerful tool is provided for skin health management, and the method has a wide application prospect.

The invention belongs to the technical field of wing mechanical loading tests, and particularly relates to an electromagnetic non-contact wing forced vibration dynamic loading device. An upper driving coil shell and a lower driving coil shell are installed on a frame body, and a wing containing space is formed between the upper driving coil shell and the lower driving coil shell; the driving coil is connected with a power supply, and the driving coil is arranged in the upper driving coil shell and / or the lower driving coil shell; the wing position adjusting mechanism is mounted on the frame body; the wing is located in the wing containing space, one end of the wing is connected with the wing position adjusting mechanism through a mechanical sensor, and when the wing is made of a non-metal material, a load coil is installed on the wing and connected with a power source; the control system is connected with the power supply and the mechanical sensor and used for controlling current output by the power supply according to signals fed back by the mechanical sensor. The device can simulate the surface acting force of air on the wing 4, and can be used for the mechanical loading test of the aircraft wing.

The utility model relates to the technical field of linear guide rails, in particular to an integrated intelligent rolling linear guide rail pair. An integrated intelligent rolling linear guide rail pair comprises a guide rail, a sliding block assembly and a data processing system, a combined magnetic railing ruler is arranged on a lower groove of the guide rail, the sliding block assembly is arranged on the guide rail and slides back and forth along the guide rail, the sliding block assembly comprises a sliding block body and a composite sensor, and the composite sensor is embedded in the inner wall of the sliding block body. The magnetic pole is arranged towards the combined magnetic railing ruler; and the data processing system is arranged outside the guide rail, receives data of the composite sensor, processes the data and feeds back the data to the terminal equipment. The incremental magnetic railing ruler and the absolute magnetic railing ruler are integrated into the combined magnetic railing ruler, so that the number of parts is reduced, the installation space is reduced, and the cost is greatly saved; the composite sensor and the contact type mechanical sensor transmit detected data to the data processing system through the wireless communication technology and then transmit the data to the mobile terminal, and a user can master the running condition of the sliding block at the far end in real time.

The invention relates to a three-level linkage differential capacitance sensor, which belongs to the technical field of micro electro mechanical sensors, and comprises a fixed support structure, three polar plates are horizontally arranged at the top of the fixed support structure at equal intervals along the vertical direction, and the polar plates and the fixed support structure as well as the adjacent polar plates are connected in an insulating and sealing manner; according to the invention, gas or liquid on the outer side of the sensor enters the middle cavity by using the vent holes, so that the pressure load of the gas or liquid acts on the three polar plates at the same time, and the pressure load of the gas or liquid is applied to the three polar plates at the same time; the three polar plates can deform at the same time, the gap between the two polar plates on the upper side is reduced, the capacitance between the polar plates is increased, the gap between the two polar plates on the lower side is increased, the capacitance between the polar plates is reduced, and the total output capacitance can be remarkably increased finally through differential output of the capacitance between the upper polar plate and the lower polar plate. And the sensitivity of the three-stage linkage differential capacitance sensor is greatly improved.

The invention discloses a scooter strength testing system based on a mechanical sensor and a folding scooter, and relates to the technical field of scooter strength testing. A reference signal is recorded through a vibration loading module; the frequency marking module gradually adjusts the loading frequency and marks a resonance interval, and collects aligned loading signals and response signals at the same time; the phase difference analysis module calculates phase difference fluctuation by using fast Fourier transform; the nonlinear harmonic component analysis module further decomposes the resonance signal and quantizes the nonlinear proportion of the fundamental frequency and the high-order harmonic; the comprehensive analysis module predicts the test accuracy through comprehensive evaluation of the phase difference and non-linear anomalies; the measurement result classification module performs grading processing on the signals, and the prediction adjustment module is combined to optimize loading conditions, so that the reliability and consistency of the test signals are ensured, the accuracy and stability of the structural mechanics test of the scooter are remarkably improved, and a scientific basis is provided for optimizing the design and manufacturing of the scooter.

The invention discloses a cement strength detection device based on a mechanical sensor, and relates to the technical field of food detection devices. The cement strength detection device based on the mechanical sensor comprises a table board, the top of the table board is fixedly connected with a base, and the top of the base is fixedly connected with pressure test equipment through a supporting rod; a connecting plate is fixedly connected to the front side of a pressing plate of the pressure test equipment, a front baffle is slidably connected to the front side of the connecting plate through a first sliding groove, a first spring is fixedly connected between the first sliding groove and the connecting plate, and a second-stage hydraulic block is fixedly connected to the bottom of a top supporting plate of the pressure test equipment. The side face of the secondary hydraulic block is movably connected with a first hydraulic block through a first hose, the front side of the first hydraulic block is slidably connected with a first push block, the front side of the first push block is fixedly connected with a sliding plate, the top of the waste box is fixedly connected with the bottom of the sliding plate, and the side face of the first hydraulic block is rotationally connected with a turning plate through a transmission piece. When the cement strength detection device based on the mechanical sensor is used, the turning plate automatically rotates, so that the waste box automatically unloads, and manual unloading is reduced.

An optomechanical system for transducing an optical phase shift movement including a mechanical sensor including a sensor element, the sensor element having an upper face extending mainly into a plane called longitudinal plane, when the system is at rest, the mechanical sensor being intended to receive an acoustic wave to vibrate the sensor element at a vibration frequency. The system moreover includes an optical detector capable of guiding a light radiation substantially parallel to the longitudinal plane, the optical detector having an evanescent field. The vibration of the sensor element modifies the evanescent field of the optical detector and the sensor element is moved along a direction called transverse direction, substantially perpendicular to the longitudinal plane when it vibrates.

The invention discloses an intelligent foundation detection and evaluation method and system, and the method comprises the steps: setting a ground penetrating radar and a micro-electromechanical sensor array based on the condition of a foundation and a detected target; data acquisition is carried out based on a ground penetrating radar and a micro-electro-mechanical sensor array, and detection radar data and micro-electro-mechanical sensor data are obtained; analyzing and processing the data of the ground penetrating radar and the data of the micro-electro-mechanical sensor; carrying out weighted fusion on the analyzed ground penetrating radar data and the micro-electromechanical sensor data through a space-time synchronization mechanism, and dynamically adjusting the fusion weight according to the soil texture type; and establishing a dynamic risk assessment model, and inputting the fused multivariate data into the dynamic risk assessment model to obtain a risk assessment level of the foundation to be monitored. According to the method, foundation information is obtained from multiple dimensions, defects such as tiny cracks and cavities can be recognized more accurately, and tiny vibration, pressure and humidity changes of the foundation are monitored accurately.

The invention relates to the technical field of mechanical structure health monitoring and diagnosis, and discloses a health assessment method for a pump valve driven by a mechanical sensor. A plurality of acceleration sensors are axially arranged on a pump valve shell, static sampling is firstly carried out to solve a static mean value, and zero offset correction is carried out on an operation sequence; setting a unified sampling period and time length, and synchronously acquiring synthetic vibration averaged according to moments; establishing discrete frequency coordinates, and calculating sine and cosine superposition amplitudes frequency by frequency to form a spectrum; performing neighborhood comparison and peak taking, calculating an energy ratio, and determining main resonance by using the energy with the maximum ratio and the smaller frequency; setting sliding windows, and solving dominant frequency window by window; drifting is calculated with the first window as the reference and normalized into a relative drifting ratio; constructing main frequency stability according to the drift difference and the drift distance of the adjacent windows, and calculating a mean value; and constructing health indexes according to the relative drift ratio average absolute value and the stability mean value, and performing graded output.

The invention relates to a control method and device for a photovoltaic robot with body vision-action coupling, and the method comprises the following steps: carrying out the feature extraction of a photovoltaic installation site image collection result obtained by a vision sensor, and generating the installation vision data of a photovoltaic panel; s2, obtaining a detection result of a mechanical sensor on a mechanical arm clamping jaw when the mechanical arm picks up the photovoltaic panel, and generating photovoltaic panel installation mechanical data; s3, carrying out space-time alignment on the photovoltaic panel installation visual data and the photovoltaic panel installation mechanical data, and carrying out fusion credibility evaluation; s4, according to the fact that the fusion credibility evaluation is passed, a path planning algorithm based on RRT * is utilized, and a barrier-free and dynamics-feasible movement track is planned and obtained; and S5, a photovoltaic panel installation instruction is generated according to the obtained motion trail, and a photovoltaic robot is driven to carry out photovoltaic panel installation. The method has the characteristics of high reliability, high adaptability and high precision.

The invention belongs to the field of mechanical sensors, and discloses a full-plane six-dimensional force sensor. The sensor comprises a fixed table, a central loading table, eight radial beams and four circumferential beams which are arranged on the same central plane in the thickness direction, the radial beams are uniformly arranged between the central loading table and the fixed table at intervals along the circumferential direction; the radial beams which are symmetrical in pairs form a group of radial beams, two groups of radial beams which are perpendicular to each other are Fx-axis radial beams and Fy-axis radial beams respectively, and the other two groups of radial beams are Mz-axis radial beams and Fz-axis radial beams respectively; the four circumferential beams are matched with the four radial beams which are arranged at intervals one by one, and the circumferential beams are vertically and equally divided by the radial beams; the circumferential beams perpendicular to the Fx-axis radial beams are My-axis circumferential beams, and the circumferential beams perpendicular to the Fy-axis radial beams are Mx-axis circumferential beams; the strain gauges are divided into six groups, and each group of strain gauges form an independent full-bridge circuit. According to the invention, inter-dimensional crosstalk is eliminated from a mechanical structure, and the sensor has the advantages of high sensitivity, isotropy, strong overload capability and easy processing.

The invention discloses a thrombelastogram calibration method, device, system and equipment and a storage medium, and the method comprises the steps: generating an initial thrombelastogram in a process that a blood sample rotates along with a container, through a mechanical torsion signal which drives a suspension wire to move in and after a process that the blood sample forms a blood clot, and collecting the initial thrombelastogram through a mechanical sensor; the method comprises the following steps: generating a light intensity time change chart through near-infrared light signals collected by a spectrograph, and extracting an attenuation rising rate representing a blood sample coagulation rate, an attenuation value representing blood sample coagulation intensity and an attenuation recovery rate representing fibrinolysis after blood sample coagulation, so as to calibrate an initial thromboelastogram and obtain a calibrated thromboelastogram. Therefore, on the basis of the thrombelastogram measured on the basis of the mechanics principle, the attenuation signal measured by the near-infrared optical principle is utilized to calibrate the thrombelastogram, the influence of non-coagulation factor interference on only mechanical signals is reduced, and the accuracy and the reliability of generating the thrombelastogram are improved.

The invention discloses a surface cleaning method for a large complex magnesium alloy structural part formed through electric arc additive manufacturing, and belongs to the field of post-treatment of formed structural parts after electric arc additive manufacturing. The method comprises the following steps that a mechanical arm is adopted to drive a special wire brush to conduct preliminary mechanical cleaning, and flexible contact is achieved through a mechanical sensor and a floating clamp; acidic cleaning liquid is sprayed to the surface of the workpiece through an ultrasonic spraying system, the surface color change is monitored in real time through a high-speed camera so as to control the reaction endpoint, and flushing and drying are conducted in time; and finally, carrying out fine cleaning under the protection of argon by adopting large-light-spot laser with low power density, and monitoring in real time through a spectrograph to ensure the cleaning effect. According to the method, the oxide layer and the pollutants on the surface of the large complex component can be efficiently, losslessly and automatically removed, the problem that the magnesium alloy WAAM component is difficult to clean due to high chemical activity and complex structure is solved, and the whole process is environmentally friendly and controllable.

This invention belongs to the field of testing technology. It discloses a conveyor belt mechanical property testing device, comprising a conveyor belt, a loading device, and a computing system. A flexible mechanical sensor is installed within the conveyor belt, and a laser rangefinder is mounted on the loading device to characterize the deformation of the conveyor belt. The computer processing system processes the mechanical signals detected by the flexible mechanical sensor and the distance signals detected by the laser rangefinder, thereby outputting the elastic modulus of the conveyor belt. By employing a flexible mechanical sensor and a computer-controlled loading device to conduct different loading experiments, the stress conditions of the conveyor belt under different working conditions are simulated and calculated. Based on the results, the selection of the conveyor belt in actual production design is guided, effectively improving the matching degree between the conveyor belt and the working conditions, extending the service life of the conveyor, and reducing accidents caused by conveyor belt breakage.

The invention discloses a micro-electro-mechanical sensor and a preparation method thereof, and the micro-electro-mechanical sensor comprises the components of a substrate which is internally provided with a groove which extends from a first surface of the substrate to the interior of the substrate; the first dielectric layer covers the first surface of the substrate and covers the bottom and the side wall of the groove; the buried layer is located in the groove and is isolated from the substrate through the first dielectric layer; the protection layer is positioned on the first dielectric layer which is not covered by the buried layer and the buried layer; the detection electrode is positioned on the protection layer and is opposite to the buried layer; the functional layer is located on the protective layer and the detection electrode, the functional layer comprises a fixed part and a movable part, and a gap is formed between the movable part of the functional layer and the detection electrode; the bonding pad is located on the functional layer, and the bonding pad is electrically connected with the detection electrode and the functional layer.

An example insertable cardiac monitor includes a plurality of electrodes to configured detect a cardiac electrical signal of a patient; a cardiac mechanical sensor configured to generate a cardiac mechanical signal; and processing circuitry configured to: determine cardiopulmonary resuscitation (CPR) is being administered to the patient; in response to the determination that CPR is being administered to the patient, determine whether an electrical rhythm of a heart of the patient satisfies a healthy electrical rhythm threshold based on the cardiac electrical signal; and in response to a determination that the electrical rhythm of the heart of the patient satisfies the healthy electrical rhythm threshold, determine whether a mechanical rhythm of the heart of the patient satisfies a healthy mechanical rhythm threshold during a period of time based on a cardiac mechanical signal sensed via the cardiac mechanical sensor during the period of time.