469 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.

The invention relates to the technical field of motor control, in particular to a speed sensorless control method of a long-stator linear motor for a maglev train in a full-speed domain range. According to the method, when the train runs at a low speed, the mechanical position sensor is adopted for control, and control precision is high; when the train runs at a high speed, speed sensorless control based on extended back electromotive force is adopted, so that control errors caused by data transmission delay can be avoided; and a weighted average switching algorithm is provided when switching is controlled by adopting a mechanical sensor at a low speed and adopting a speed-free sensor at a high speed, and the weighted average switching algorithm comprises motor rotating speed switching and motor angle switching, so that stable transition of the rotating speed and the angle of the motor during high and low speed switching is realized, and overcurrent of the motor is avoided. By adopting the method, stable operation of the long-stator linear motor in a full-speed domain range can be realized, and safe operation of a train is ensured.

The invention provides a wearable motion capture method and system based on a flexible mechanical sensor, and relates to the technical field of motion capture. The wearable motion capture method based on the flexible mechanical sensor is realized by the flexible mechanical sensor, a signal acquisition and wireless transmission unit and an intelligent analysis and interaction unit. The method comprises the following steps: a flexible mechanical sensor monitors an individual joint movement signal in real time, and transmits the movement signal to a signal acquisition and wireless transmission unit to obtain monitoring data of the flexible mechanical sensor; the monitoring data are transmitted to the intelligent analysis and interaction unit, the corresponding relation between the individual motion signals and the motion amplitude and the motion direction is established by calibrating the motion amplitude and the motion direction of the joints, and a calibration result is obtained; and according to a calibration result, three-dimensional motion modeling and attitude restoration of the individual are realized by utilizing a computer technology. According to the invention, the capability of finely capturing the local motion of an individual can be improved, the wearable performance can be improved, and the anti-interference capability is enhanced.

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 belongs to the technical field of automobile fault detection, and provides an intelligent networked automobile fault detection method and system, and the method comprises the steps: S1, collecting real-time data, including vehicle sensor data, network communication data, user behavior data and environment perception data, of an intelligent networked automobile in a driving process; s2, performing real-time analysis on the data by adopting a deep learning model, identifying a fault omen mode, and predicting a potential fault type; s3, based on an analysis result, an AI decision system built in the vehicle is used; according to the invention, accurate prediction and rapid positioning of faults can be realized by collecting and analyzing diversified real-time data and using a deep learning model, and compared with a current fault detection method which mainly depends on a mechanical sensor and artificial experience, the response speed and the diagnosis accuracy are significantly improved, and the fault detection method is suitable for large-scale popularization and application. Therefore, the safe operation of the intelligent networked automobile is more effectively guaranteed, and the user experience is improved.

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 relates to the technical field of tunnel experiment devices, and discloses a tunnel mechanical property test device which comprises a lining structure connected to a base and further comprises a plurality of mechanical sensors, a counter-force supporting plate and a plurality of counter-force pressurizing assemblies evenly distributed in the lining structure. The counter-force supporting plate and the lining structure are the same in shape, the radius of the counter-force supporting plate is larger than that of the lining structure, the lining structure is sleeved with the counter-force supporting plate, the counter-force supporting plate and the lining structure are coaxial, the bottom of the counter-force supporting plate is fixedly connected with the base, and the multiple counter-force pressurization assemblies are connected between the counter-force supporting plate and the lining structure and used for applying pressure to the lining structure. The positions of the counterforce pressurizing assemblies can be adjusted at will. According to the invention, the complex stress state of the lining structure can be practically simulated.

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.

A multi-sensor patch for simultaneous abdominal monitoring of maternal and fetal physiological data includes a multi-layer flexible substrate with a center region and a plurality of electrode regions. A conductive layer of the flexile substrate provides an electrical connection between each of the plurality of electrode regions and the center region. A plurality of electrodes are formed into the flexible substrate. At least one mechanical motion sensor is connected to the multi-layer flexible substrate. A module unit is connected to the conductive layer at the center region. The module unit includes a controller configured to receive biopotential physiological data from the plurality of electrodes and mechanical sensor data from the at least one auxiliary sensor. The controller calculates at least fetal heart rate, maternal heart rate, and uterine activity from the biopotential physiological data and from the mechanical sensor data.

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 relates to a capacitive mechanical sensor based on a flexible electrode, an electronic skin and a robot. The sensor comprises a base body, a positioning piece, a CDC and a processing module. A lower electrode is arranged on the surface of the substrate, a flexible upper electrode is arranged above the lower electrode, and the projection of each upper electrode relative to the lower electrode at least covers partial area of the corresponding lower electrode; the positioning piece is fixed on the base body and is provided with an elastic first part higher than the lower electrode; one end of the upper electrode is fixed relative to the lower electrode or the first part, the other end of the upper electrode is directly or indirectly physically connected with the first part, the first part is lifted relative to the lower electrode to form a bent electrode, and the upper electrode and the lower electrode are isolated through an insulating layer; the first part deforms under the action of external force to drive the upper electrode to change the indirect contact area of the bent part on the lower electrode; the CDC is coupled with the corresponding electrodes to obtain capacitance between the upper and lower electrodes; the processing module is coupled with the CDC and is used for outputting an electric signal representing the acting force according to the capacitor.

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.

An ultrasonic transducer device comprises a piezoelectric micromachined ultrasonic transducer (PMUT), a transmitter with first and second differential outputs, and a controller. The PMUT includes a membrane layer. A bottom electrode layer, comprising a first bottom electrode and a second bottom electrode, is disposed above the membrane layer. The piezoelectric layer is disposed above the bottom electrode layer. The top electrode layer is disposed above the piezoelectric layer and comprises a segmented center electrode disposed above a center of the membrane layer and a segmented outer electrode spaced apart from the segmented center electrode. The controller, responsive to the PMUT being placed in a transmit mode, is configured to couple the first and second segments of the bottom electrode layer with ground, couple the first output of the transmitter with the segments of the segmented center electrode, and couple the second output with the segments of the segmented outer electrode.

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 digital manufacturing and construction method for a special-shaped stone veneer in a large venue, and aims to solve the problems of low machining precision, high mounting difficulty, low construction efficiency and the like of special-shaped stone in construction of an outer vertical face and an inner veneer of a building. The method comprises the following steps: firstly, measuring a building special-shaped structure by using a three-dimensional scanner or a BIM (Building Information Modeling) technology to generate a three-dimensional geometric model; based on the model, combining the material characteristics of the stone, and optimizing the geometric shape and size of the stone through a typesetting algorithm; then the optimized data are imported into five-axis CNC numerical control equipment for precise cutting; pre-assembly is conducted after cutting, errors are detected through laser scanning equipment, and adjustment is conducted till the precision requirement is met; and finally, a laser positioning system and a mechanical sensor are combined, a manual construction team manually installs the stone, and it is ensured that the installation precision meets the design requirement. According to the method, the machining and mounting precision of the special-shaped stone is effectively improved, the construction efficiency is improved, and the structural safety and the attractive effect of a building are guaranteed.

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 provides a full-automatic adaptive conductive slip ring current-carrying friction wear test system and method.The system comprises a test bench and a first test main body part installed on the test bench, the first test main body part comprises a first driving part and a transmission part which are connected with each other, and the transmission part is used for installing a to-be-tested conductive slip ring and driving the to-be-tested conductive slip ring to rotate; and the second test main body part comprises a clamping part and an automatic compensation part which are connected with each other, the clamping part is used for installing brush wires, and the automatic compensation part is used for driving the clamping part to move until the brush wires on the clamping part are in contact with the conductive slip ring to be tested in the rotating state. Wherein the brush wires are externally connected with a power supply; and the second driving part is used for receiving the mechanical parameters acquired by each mechanical sensor and adjusting the contact position between the brush wire and the conductive slip ring to be tested so as to maintain a constant loading condition. The system provided by the invention solves the problem that the self-adaptive adjustment of the outer diameter of the conductive slip ring and the automatic compensation of the abrasion loss cannot be realized in the current friction and abrasion performance test.

Disclosed in the present invention is a body balance assessment method. The method comprises: creating a height model of an object to be subjected to assessment; by means of a feature value which is output by a pressure distribution sensor, calculating support plane information and pressure center information of said object in an assessment area; outputting weight information by means of a mechanical sensor; and establishing a composite model, inputting the height model, the supporting plane information, the pressure center information and the weight information, so as to output a balance assessment result. In the present invention, an assessment behavior for a standard human body pose is established, data of a subject with respect to the behavior is collected, and a balance assessment parameter, by means of which the subject can be assessed during a behavioural process, is obtained by means of calculation, thereby assisting in assessing an invisible balance risk of the subject.

The invention relates to a target object abnormity monitoring method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a monitoring image in real time based on a monitoring video; when the target object in the monitoring image has the marker, determining the abnormal state of the target object based on the proportion change of the marker in the detection area; the detection area is an area covering the target object in the monitoring image, and the detection area is a fixed area. According to the method and the device, the problem that the opening state cannot be monitored timely and accurately due to the influence of the precision and the sensitivity of a mechanical sensor in the related technology is solved, accurate detection of the abnormal state of the target object is realized by utilizing the proportion change of the marker in the monitoring image in the detection area, and the timeliness of monitoring is guaranteed.

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.