311 results about "Mechanical sensor" patented technology

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.

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 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.

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 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 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.

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.

The application discloses a method and structure for confirming two-dimensionality of airfoil test and wind tunnel side wall interference area, and belongs to the technical field of airfoil test based on mechanical sensors. The method solves the problem that the traditional wind tunnel side wall interference evaluation method for airfoil test in the prior art is difficult to accurately determine the wind tunnel interference range; the method comprises the following steps: S1. A plurality of pressure measuring holes are arranged on the upper surface of an airfoil model at least two positions along the span direction from the center section of the airfoil model as a starting point, and an airfoil model upper surface pressure hole area is arranged; S2. The size of the two-dimensionality of the airfoil test and the wind tunnel side wall interference area is confirmed by analyzing the pressure distribution measurement results of the airfoil model upper surface pressure hole area and according to evaluation conditions. The application effectively improves the range accuracy of the wind tunnel side wall interference area of the airfoil test, can provide support for airfoil pressure distribution measurement, and can be applied to confirming the two-dimensionality of the airfoil test and the wind tunnel side wall interference area.

The application discloses a five-axis measuring machine probe force monitoring method and system, and relates to the technical field of probe force monitoring. The method collects multi-dimensional force signals of the probe through a mechanical sensor, decomposes an axial component, dynamically maps the probe attitude to a workpiece coordinate system, performs smooth processing on a force vector with an excessive change rate, matches a historical database to identify key feature points of complex geometric contact, converts to a local coordinate system of a contact point to obtain a force state, and adjusts a motion path if the components are unbalanced. The system is provided with multi-dimensional force collection and decomposition, attitude transformation, feature analysis, adjustment control and evaluation report modules, realizes the above functions, and improves measurement accuracy and equipment reliability through monitoring, adjustment and stability evaluation.

Micromechanical sensor device with: an ASIC substrate (10) with a first front side (VSa) and a first back side (RSa); a rewiring device (20) formed on the first front side (VSa) with a plurality of stacked conductor track levels (LB0, LB1) and insulation layers (I); a MEMS substrate (9) with a second front (VS) and a second back (RS); a first micromechanical functional layer (16) formed above the second front surface (VS); a second micromechanical functional layer (17) formed above the first micromechanical functional layer (16), which is connected to the rewiring device (20) via a bond connection (50); wherein a movable sensor structure (MS) is formed in the second micromechanical functional layer (17) which is anchored on one side to the MEMS substrate (9) via a first anchoring area (17b') formed in the second micromechanical functional layer (17); wherein in the second micromechanical functional layer (17) an electrical connection element formed in a second anchoring area (17d; 17d'; 17d'') is anchored on one side via a contact area (52) of the bond connection (50) on the ASIC substrate (10); and wherein the first anchoring area (17b') and the second anchoring area (17d; 17d'; 17d'') are elastically connected to each other via a spring element (17c) formed in the second micromechanical functional layer (17).

According to the tensile strain testing device for the small sample material, a displacement load is applied to a stress conduction guide rod, and the load is transmitted to an elastic piece through the stress conduction guide rod and a mechanical sensor, then transmitted to a square guide rod through the elastic piece and finally transmitted to an upper clamp and a sample through the square guide rod; and the double-frequency laser interferometer is used for measuring the displacement of the square guide rod, namely the stretching displacement of the sample. The measuring device provided by the utility model can be suitable for the sample size as small as millimeter magnitude, the measuring precision can reach nanometer magnitude, and the measuring device is simple and convenient to operate and has remarkable practical value.

The application discloses a tensile strength detection device for PI film production for display panels and relates to the technical field of PI film tensile strength detection. The device comprises a supporting mechanism, a connecting frame, a fixing frame, a crossbeam, a first screw rod, a mechanical sensor, an upper fixing block, a control panel, a bidirectional screw rod, a connecting block, an upper fixing straightening assembly, a second screw rod, a guide rod, a scale plate, a lower fixing block and a lower straightening fixing assembly. The device triggers hydraulic linkage when clamping the film, makes the first rotating roller roll and move forward, actively flattens the film edge in a rolling mode, prevents wrinkles from affecting detection, triggers the wedge-shaped block to be automatically clamped by the convex rod during the downward movement of the lower straightening fixing assembly, continuously flattens the lower end of the film by the second rotating roller, cooperates with the observation plate to be quickly positioned, reduces manual measurement and improves detection efficiency.

The present application relates to a kind of device and method for measuring solid-liquid two-phase flow dynamics information, including measuring plate, glass plate, pore pressure sensor, filter screen, triaxial force sensor, force plate, outer pressure strip, inner pressure strip, sealing film, sensor bracket, dynamics information includes the pressure of liquid component in two-phase flow and the force of overall to force plate;The present application can ensure fluid seal when the mechanical sensor is reasonably measured dynamics information;Meanwhile, the present application can also realize the simultaneous measurement of solid-liquid two-phase flow kinematics and dynamics information by mechanical sensor cooperation high-speed camera technology.

A muscle activation sensing system includes a mechanical sensor mounted on a body part and is configured to detect a change in a muscle associated with the body part. A location of the muscle activation sensing system on the body part is determined. A control signal is derived based on the detected change in the muscle associated with the body part and the determined location. The control signal is outputted to a device.

The invention discloses a ring type blood glucose noninvasive detection device based on multi-modal sensing fusion, and relates to the technical field of medical detection equipment. A baseline construction module; an interference decoupling module; a cross-mode experience verification module; a result feedback module; by integrating optical, electrochemical and mechanical sensors, the accuracy and anti-interference capability of blood glucose noninvasive detection are improved by using a multi-modal data fusion technology, and the traditional single-modal limitation is broken through; meanwhile, a self-supervised learning algorithm is adopted to construct a personalized digital twin baseline, dynamic adjustment is performed in combination with data such as diet and exercise of the user, and customized health intervention suggestions are generated, so that the design not only improves the clinical applicability of noninvasive detection, but also improves the continuity of blood glucose monitoring through a closed-loop management mode, reduces the risk of complications, and improves the accuracy of blood glucose monitoring. And an innovative scheme is provided for chronic disease management.

This invention relates to the field of debris flow monitoring and prevention, and specifically to a debris flow prevention device and early warning method with integrated monitoring. The invention includes a force plate, baffles, rigid piles, and an intelligent early warning module. It uses a three-component mechanical sensor and a pore water pressure sensor to monitor in real time, capturing the shear stress, normal stress, and pore water pressure at the bottom of the debris flow, and analyzing the differences in internal stress distribution. A single rigid pile and two baffles constitute a protective unit, deployed along the channel. The cooperation between the force plate and the baffles forms a linkage between monitoring and prevention. When the force plate detects the passage of debris flow, the baffles move upstream to intercept it; when the force plate detects a decrease in debris flow flow, the baffle opening turns downstream for self-cleaning. The intelligent early warning module integrates multi-source sensor data based on 5G communication, and triggers a three-level graded early warning through theoretical quantitative analysis such as corrected Froude numbers and corrected impact loads. This invention achieves coordinated flow perception, graded early warning, and dynamic protection, improving prevention efficiency and early warning accuracy.