58 results about "Triaxial accelerometer" patented technology

The invention relates to a dual-mass-block three-axis acceleration sensor and a processing method thereof. The sensor comprises an X-axis and a Y-axis which are arranged on a first mass block, and a Z-axis which is independently arranged on a second mass block. The X-axis movable comb tooth structure and the Y-axis movable comb tooth structure are arranged outside the first mass block; the movable comb tooth structure of the Z axis is arranged in a central area between the first mass block and the second mass block, and an included angle of 135 degrees or 45 degrees is formed between the extension direction of the movable comb tooth structure of the Z axis and the extension directions of the movable comb tooth structures of the X axis and the Y axis; the first elastic supporting piece is connected to the first mass block and the substrate and used for sensing the X-axis acceleration and the Y-axis acceleration. The second elastic supporting piece is connected to the second mass block and the substrate and used for sensing the Z-axis acceleration. The fixed comb tooth structures of the X axis, the Y axis and the Z axis are fixed to the substrate through anchor points and arranged in a staggered mode with the movable comb tooth structures. The X-axis, the Y-axis and the Z-axis are arranged on different mass blocks, the comb tooth structure forms an included angle, the cross-axis sensitivity is reduced, and the size is reduced.

The invention provides a backpack multi-sensor data fusion-based motion attitude anomaly real-time detection method, which comprises the following steps of: acquiring multi-channel original data through a backpack-type integrated triaxial accelerometer, a gyroscope, a magnetometer and a barometer, implementing synchronous sampling and time-space alignment, and constructing a standardized time sequence data stream through wavelet denoising and multi-dimensional normalization preprocessing; high-dimensional features representing motion differences are extracted, nonlinear dimensionality reduction is achieved through principal component and Laplacian feature mapping, and a motion mode prototype library is generated; according to the method, a new motion situation can be continuously and adaptively learned, and the motion recognition accuracy, the system robustness and the attitude anomaly detection capability in a complex scene are effectively improved.

The invention discloses a uterine contraction detection method based on multi-modal signal fusion reconstruction, which comprises the following steps of: 1, synchronously acquiring an abdominal surface uterine electromyographic signal in real time through a high-density electrode array, acquiring a uterine contraction pressure signal in cooperation with a fundus pressure sensor, synchronizing a triaxial accelerometer signal to acquire a maternal motion signal, and preprocessing; 2, performing time sequence alignment and resampling on the data, and constructing a quality mask to form a multi-mode uterine contraction signal data set; 3, constructing a reconstruction network based on multi-modal feature fusion; 4, constructing a total loss function of the multi-modal feature fusion reconstruction network; and 5, training a reconstruction network of multi-modal feature fusion, wherein the reconstruction network is used for fusion reconstruction of the multi-modal uterine contraction data. According to the invention, through multi-modal signal fusion and deep feature correlation analysis, accurate monitoring and prediction of uterine contraction and premature delivery risks in the pregnant and birth period can be realized.

The invention discloses an urban and rural pavement maintenance monitoring system based on intelligent well lid data linkage, and the system comprises a data collection module which detects the acceleration data, angular motion data and inclination angle change data of a well lid in real time through a three-axis acceleration sensor, a gyroscope and an inclination angle sensor which are disposed on the well lid; the edge calculation module is used for calculating a vibration value of the well lid according to the acceleration data, the angular motion data and the inclination angle change data of the well lid and correcting the vibration value; the cloud data center obtains a risk index of a road surface where the well lid is located through a pre-constructed association model according to the corrected vibration value and the position of the well lid corresponding to the vibration value; and the maintenance decision terminal module performs maintenance decision on the road surface where the well lid is located according to the risk index of the road surface where the well lid is located. According to the invention, the well lid on the road surface is taken as the basis of data acquisition, and the maintenance condition of urban and rural road surfaces is detected in real time by acquiring the data on the well lid, so that the maintenance condition can be accurately obtained in real time.

The invention provides an angle calculation method and system based on a triaxial accelerometer, and relates to the technical field of inertial navigation, and the method comprises the steps: obtaining an acceleration signal and preprocessing the acceleration signal to obtain an effective acceleration component, constructing a nonlinear error feature vector, carrying out the real-time parameter identification through a recursive least square method, and building a nonlinear error compensation model. And performing dynamic correction by adopting a self-adaptive sliding time window, and finally calculating a pitch angle and a roll angle. The non-linear error of the accelerometer can be effectively inhibited, the angle calculation precision is improved, and the method has the characteristics of good real-time performance and strong adaptability.

The invention relates to intelligent wearable bioelectronic equipment for monitoring and treating temporal muscle and masseter dysfunction and a control method, and belongs to the technical field of medical equipment. The device comprises a circuit board, a core processing unit MCU is arranged on the circuit board, the core processing unit MCU is respectively connected with an ACC triaxial accelerometer, a digital isolator and an NFC wireless communication and charging patch, the ACC triaxial accelerometer is connected with a surface myoelectricity electrode patch through an analog front end, the digital isolator is connected with a stimulation electrode patch through an electrical stimulation driving module, and the NFC wireless communication and charging patch is connected with an NFC wireless communication and charging module. And the NFC wireless communication and charging patch is connected with a reference electrode patch. According to the invention, efficient, safe and comfortable treatment of functional TMD is realized.

This invention discloses a near-bit engineering parameter measuring device and method. The measuring device includes a novel drill bit and an engineering parameter measuring mechanism connected to each other. The novel drill bit includes a drill bit body, a drill pressure strain gauge, a torque strain gauge, and a data transmission system, accurately measuring operating parameters such as torque and thrust at the drill bit during drilling. The engineering parameter measuring mechanism includes an outer cylinder, an inner cylinder, a triaxial accelerometer, a signal processing module, a ground signal receiving device, and a battery module. The engineering parameter measuring mechanism is a double-layer, double-cylinder structure that uses the principle of magnetoelectricity to generate current and power the measuring system. The magnitude of the current generated when the inner cylinder rotates relative to the outer cylinder provides feedback on the relative rotational speed of the drill bit. Simultaneously, a triaxial accelerometer is arranged on the outer cylinder to acquire the angular acceleration information of the outer cylinder, calculate the rotational speed of the outer cylinder, and sum the velocities to obtain the actual rotational speed at the drill bit, thus achieving accurate measurement of the drill bit rotational speed.

A laryngeal pacemaker is configured for external placement on skin of a patient to produce respiration stimulation signals. An implantable stimulation electrode delivers the respiration stimulation signals to adjacent target neural tissue for vocal fold abduction during respiration of the recipient patient. A triaxial accelerometer produces a body motion signal reflecting energy expenditure of the recipient patient. A respiration sensor includes a flexible skin-transferrable printed tattoo electrode having a tetrapolar configuration for impedance pneumography measurement to produce a sensed respiration signal for the laryngeal pacemaker. The respiration sensor is configured for transfer and release by guided placement from a sensor applicator to the skin at the angulus sterni of the recipient patient. And the laryngeal pacemaker is configured to interpret the body motion signal and the sensed respiration signal to make a real time determination of respiratory phase and frequency for adaptively adjusting the respiration stimulation signals accordingly.

The invention belongs to the field of embedded device security design, and particularly relates to a security starting system and method based on dynamic environment binding and heterogeneous inspection. A safe starting framework is constructed through a triaxial accelerometer, a main control chip and a verification module, wherein the main control chip integrates an annular oscillator array, a temperature sensor and a hardware hash engine, and the verification module comprises an AI coprocessor and a block chain communication module. The system firstly collects three-dimensional acceleration and environment temperature data, combines dynamic physical signals generated by an annular oscillator array, and generates a dynamic decryption key through fusion of a hardware hash engine; and then heterogeneous dual-channel verification is formed through the AI coprocessor and the block chain communication module, so that the key validity is ensured. According to the method, a static key is replaced by a dynamic trust root, the bottleneck of a single chain is broken through heterogeneous verification, protection is enhanced through environmental data binding, security and light weight are considered, a real-time industrial control scene with limited adaptive resources is adapted, and attacks such as physical detection and environmental simulation are effectively resisted.

This invention discloses a real-time detection method and system for steel slag flow based on a triaxial accelerometer, belonging to the field of steel metallurgical process detection technology. It acquires triaxial vibration data to fully capture the impact energy of steel slag in any direction in three-dimensional space, overcoming the signal loss problem caused by the mismatch between the installation direction and the impact direction of traditional single-axis sensors. Based on this, a dynamic threshold pre-screening mechanism is adopted, requiring only the calculation of a few core features to quickly determine the slag-free state. For suspected slag-containing periods, a CNN-LSTM hybrid model is further used for fine identification. The model automatically extracts the nonlinear combinations and temporal dependencies between feature dimensions, achieving accurate classification of four states: initial flow, stable slag flow, and impact of large slag pieces. This invention integrates comprehensive perception, efficient prediction, and intelligent identification, providing a safe, reliable, and low-cost online detection and classification control solution for steel slag flow in the steelmaking process.

The invention provides a medical flatcar with spine maintaining and anti-seismic functions, and belongs to the technical field of medical instruments, the flatcar absorbs vertical oscillation and horizontal jolt in the transfer process through a multi-stage damping structure (buffer springs, air cushions and buffer pads); pavement pre-judgment and self-adaptive damping adjustment are realized through an intelligent sensing system (a laser ranging sensor / laser obstacle avoidance radar, a triaxial accelerometer and a central controller); an ergonomic protection structure (including a spine fixing system, a protection plate and a back cushion) is matched to guarantee the body position safety of the patient; and the equipment management efficiency is improved through a bottom drawing type storage structure. Transfer jolt is remarkably reduced, the device is particularly suitable for patients with spinal injury, cerebral hemorrhage, organ rupture and the like, head displacement is reduced according to clinical actual measurement, and the discomfort rate of the patients is decreased.

A testing method and system for lithium battery protection boards is disclosed. The method includes: sampling the resonant frequency of a connector structure using an acoustic resonant sensing unit to obtain an acoustic baseline signal indicating the mechanical connection state of the connector; real-time acquisition of environmental vibration intensity and impact event time using a triaxial accelerometer and an impact sensor, and time alignment with the acoustic baseline signal; applying excitation pulses of a predetermined frequency to the connector at a preset cycle, and acquiring the real-time resonant response curve of the connector to the excitation pulses using the acoustic resonant sensing unit to calculate the baseline profile offset; comparing the baseline profile offset with a preset safety threshold to convert the acoustic offset into a loosening risk indicator based on the comparison result; and performing a load switching test of a predetermined amplitude in response to the loosening risk indicator to determine whether the connector is abnormal. This invention can promptly detect poor contact caused by changes in connector gaps due to vibration, ensuring the accuracy of the alarm.

The utility model relates to the technical field of laser surveying and mapping, in particular to a laser surveying and mapping positioning device which comprises a laser surveying and mapping instrument and an installation cover connected to the laser surveying and mapping instrument in a threaded and sleeved mode, an optical lens is fixedly installed on the laser surveying and mapping instrument, and a protection mechanism is arranged on the installation cover. The protection mechanism comprises a triaxial accelerometer, a wireless communication module and a microcontroller, a mounting ring is rotatably mounted in the mounting cover, a gear ring sleeves the mounting ring, multiple groups of annularly distributed closing plates are arranged in the mounting cover, the multiple groups of closing plates are rotatably connected with the mounting cover through handles, and fourth gears sleeve the multiple groups of handles. Through the protection mechanism, when the optical lens is not used, a plurality of groups of closing plates are in a closed state and are matched with the mounting cover to enable the optical lens to be in a covering closed state, so that the optical lens is prevented from being collided and damaged.

The utility model discloses a real-time monitoring system for baseball motion parameters. The real-time monitoring system comprises a nine-axis inertial measurement unit, a dynamic integral reset processing unit, a data preprocessing unit, a wireless transmission module, a wireless charging receiving module for supplying power, a wireless receiving module, a data processing unit and a user side, the nine-axis inertial measurement unit, the dynamic integral reset processing unit, the data preprocessing unit, the wireless transmission module and the wireless charging receiving module are arranged in the baseball; the nine-axis inertial measurement unit comprises a three-axis accelerometer, a three-axis gyroscope and a three-axis magnetometer and is used for acquiring the acceleration, the angular velocity and the magnetic field intensity of the baseball; the dynamic integral reset processing unit is connected with the nine-axis inertial measurement unit; the nine-axis inertial measurement unit, the data preprocessing unit and the wireless transmission module are connected in sequence; the wireless receiving module is respectively connected with the wireless transmission module and the data processing unit; and the user side is connected with the data processing unit.

This application relates to the field of multi-condition bellows dynamic characteristic testing technology, and in particular to a multi-condition bellows dynamic characteristic testing device. The device excites and tests bellows under combined working conditions using a vibrator or hammer. It measures the vibration acceleration parameters of triaxial accelerometers at both ends of the bellows, and after calculation, accurately obtains the vibration isolation performance parameters of the bellows under combined working conditions, achieving higher testing accuracy. By selecting the vibrator or hammer according to the bellows' mass and diameter, the influence of the vibrator's added mass and stiffness on measurement accuracy can be avoided. Furthermore, it can simulate the environment, more closely resembling real service conditions. By applying different working conditions and combined working conditions such as high temperature, pressure load, axial or lateral displacement, it realistically simulates the actual working conditions of the bellows, accurately obtaining the vibration isolation performance parameters of the bellows.

A structural-health-monitoring system is disclosed for real-time detection and autonomous maintenance of physical structures. The system includes a sensor network comprising at least one strain gauge and one tri-axial accelerometer mounted on the structure to generate real-time sensor signals. A perception module filters and normalizes the signals and extracts numerical features such as peak amplitude and dominant frequency. A digital-twin module maintains a finite-element model updated in response to the extracted features. A data-driven surrogate model predicts sensor behavior and refines itself using machine-learning techniques. An anomaly-detection module computes an anomaly score from model residuals or classifier outputs. Upon exceeding a threshold, a maintenance module initiates a maintenance action, including generating an inspection schedule or issuing a control signal to an autonomous inspection or repair device. A learning module continuously improves system performance using reinforcement learning based on historical outcomes. The system supports predictive diagnostics, robotic repair, and automated optimization for long-term structural integrity.

A device for orienting core samples relative to their position in the subsoil before extraction, attaching to a core bit during drilling features a robust tubular body with a detector to identify core sample breakage and orientation using triaxial accelerometers and gyroscopes, measuring orientation by the gravity vector or true north. An electronic control unit stores, timestamps, and transmits data wirelessly via BLUETOOTH®, ensuring data reliability without removing the device. The device includes adapters for different pipe diameters, minimizing the need for disassembly and reducing user fatigue, while maintaining pump functionality with a bypass valve if needed.

This invention relates to a method for identifying weathered rock strata interfaces and adaptively controlling excavation parameters based on vibration spectrum analysis, belonging to the field of intelligent excavator construction technology. It addresses the problems of relying on manual experience for soil-rock interface identification during weathered rock strata trench excavation, low efficiency of mechanical switching, and slope vibration risks. The method collects vibration acceleration signals using a triaxial accelerometer, extracts frequency domain feature vectors including the dominant frequency amplitude, high-frequency band energy proportion, spectral centroid, and kurtosis value, and inputs these vectors into a multi-class support vector machine model to output category labels. When the category label changes from "cohesive silt" to "strongly weathered gneiss," the input current to the proportional solenoid valve of the excavator's hydraulic main pump is reduced, and a breaker hammer warning signal is activated. When the category label is "moderately weathered gneiss with interbedded boulders" and the high-frequency band energy proportion and kurtosis value exceed the safe range, the pilot oil pressure of the breaker hammer is limited. This method enables real-time identification of the soil-rock interface and adaptive control of excavation parameters.

This application discloses a predictive maintenance system, method, sensor network, and storage unit for belt conveyors. It includes a multi-core optical cable and several silicon photonic triaxial accelerometers connected to different fiber branches therein. The application feeds detection light into the silicon photonic triaxial accelerometers via a silicon photonic demodulation and control unit. Based on the reflection of the detection light, it calculates the acceleration at each sensor's location to obtain the vibration state changes in the time domain along the belt conveyor in three orthogonal directions. Correspondingly, it extracts features, identifies faults, and generates predictive maintenance strategies. This application can proactively and in real-time assess the risk of abnormal belt conveyor faults and provide early warnings. Its sensing nodes are completely passive and intrinsically safe; it has a wide frequency response and high sensitivity; it uses a multi-point triaxial synchronous acquisition method to obtain equipment attitude information; it is suitable for long-distance, large-scale deployment with controllable costs; and it can also support predictive maintenance based on big data and artificial intelligence.

The invention relates to an awning motor electronic stroke calibration method, device and system and a storage medium, and the method comprises the steps: obtaining the detection data collected by a three-axis acceleration sensor when a motor is in a stable state, judging whether an effective hand-cranking signal exists or not according to the detection data, and executing the resistance detection when the effective hand-cranking signal exists, and according to the stroke starting point or end point of the blocked position, stroke parameters are updated, and real-time calibration of the electronic stroke is completed. Real-time calibration of the electronic stroke is achieved, and the problems that when a user operates through a crank, an internal Hall module and a motor are in a coaxial and synchronous motion state and lose relative displacement, the Hall module cannot detect an effective rotation signal, an electronic stroke system cannot record the actual motion stroke, and the user experience is poor are solved. Therefore, the problem that the awning cannot accurately stop at a preset position and stroke deviation is generated is solved.

This invention belongs to the field of mobile robot technology and discloses a method for preventing cable roll-type coating robots from detaching. The specific steps of this method are as follows: S1 Collect state parameters; S2 Calculate the score value; S3 Determine the risk and output control commands. This invention acquires multi-source disturbance data in real time by deploying tension sensors, attitude angle sensors, and triaxial accelerometers on key parts of the robot body, and constructs a structured state parameter vector, thereby achieving a comprehensive quantitative characterization of the operating state. Compared with traditional methods that rely on a single threshold to determine risk, this multi-dimensional information fusion mechanism can simultaneously perceive force, attitude, and dynamic disturbances, effectively improving the ability to identify and judge potential detachment risks. It is particularly suitable for dynamic stability monitoring in high-altitude flexible track scenarios, ensuring safe and continuous operation of the robot during long-distance operation.

This invention discloses a multi-parameter fusion monitoring and early warning system and control device for flywheel energy storage devices. The system includes a workbench, a flywheel energy storage component, a vacuum chamber, and a data processing module. The vacuum chamber creates a vacuum operating environment for the energy storage component, which converts energy through bearing housings, shafts, and flywheel rotors. The data processing module integrates core units such as a data processor. The system uses multiple sensors, including photoelectric encoders and triaxial accelerometers, to synchronously monitor multi-dimensional parameters such as rotational speed, vibration, vacuum level, voltage, and current. Data preprocessing and deep learning fusion analysis improve the accuracy of anomaly detection. Combined with a graded early warning unit, it achieves on-site audible and visual graded early warning, and with a wireless information module, it completes remote early warning. This solves the problems of existing systems such as single monitoring, weak fusion analysis, and delayed early warning, providing comprehensive data support and early warning guarantee for the safe and stable operation of flywheel energy storage devices.

The invention discloses a foundation pile perpendicularity rapid detection device, method and system, and relates to the field of foundation pile construction quality detection.The foundation pile perpendicularity rapid detection device comprises a vertical positioning probe and a cable connected with the vertical positioning probe; the vertical positioning probe comprises a three-axis acceleration sensor and at least three positioning modules arranged on the outer wall of the three-axis acceleration sensor; the positioning module comprises positioning assemblies and positioning wheels which are in one-to-one correspondence, and the positioning assemblies are used for fixing the corresponding positioning wheels to the three-axis acceleration sensor and adjusting the distance between the corresponding positioning wheels and the outer wall of the three-axis acceleration sensor in real time. The orthographic projections of all the positioning wheels are distributed on the outer edge of the three-axis acceleration sensor at equal intervals under the condition that no external force is applied to the positioning wheels; the method has the advantage of improving the detection efficiency.

This invention discloses a triaxial accelerometer installation device and a motion attitude monitoring method for a vibratory impactor. The device includes a vibratory impactor, sensors, armored cables, a main cable, a reel, an electric slip ring, and a data acquisition instrument. A pair of sensors are arranged at the head and middle of the vibratory impactor, each sensor connected to an armored cable. All armored cables pass through a vibration damper along the head or middle of the vibratory impactor and connect to the main cable at the tail of the vibratory impactor. The main cable is wound on the reel and electrically connected to the electric slip ring. The control cable core within the main cable is connected to the data acquisition instrument. The method involves the sensors sensing the vibration characteristics of the installation location, converting them into signals, and transmitting them to the data acquisition instrument through the control cable core and the main conductive cable core. The data acquisition system is then activated to monitor the signals in real time and analyze them to determine the motion attitude of the vibratory impactor during operation. This invention can operate in extreme environments with strong vibration and underwater high pressure, and can stably monitor the motion attitude of the vibratory impactor in real time and independently record effective data over a long period.

The invention discloses a real-time monitoring and dynamic analysis system supporting hot plug of multiple Bluetooth sensors, which is used for solving the problems of unstable connection, incapability of dynamic maintenance and high-load data processing delay during cooperative monitoring of multiple wireless sensors. The system distributes an independent data channel for each three-axis acceleration Bluetooth sensor through a dynamic resource isolation module; disconnection and automatic reconnection are achieved through the connection state management module, and continuous monitoring is guaranteed; data acquisition and calculation analysis are decoupled through a logic decoupling processing assembly line module and a unified calculation resource scheduling module, and frequency domain and time domain feature extraction of multiple devices is executed in parallel based on a thread pool; through a dynamic visualization mapping module, dynamic binding and comparison display between any online sensor data and a display view in operation are realized. According to the invention, multi-device hot plug management is realized, continuous loss-free acquisition and efficient parallel analysis under a high sampling rate are realized, and the reliability, flexibility and real-time performance of a monitoring system are improved.

This invention relates to the field of accelerometer chip technology, and discloses a sandwich-type triaxial accelerometer chip and its fabrication method. The fabrication method includes: forming a top electrode plate on a top glass substrate; fixing the top electrode plate to a first SOI substrate; thinning a first bottom silicon layer; forming a first accelerometer sub-assembly and a first Z-axis capacitor; forming a bottom electrode plate on a bottom glass substrate; fixing a second SOI substrate to the bottom electrode plate; thinning a second bottom silicon layer; forming a second accelerometer sub-assembly and a second Z-axis capacitor, which together with the first Z-axis capacitor forms a third differential capacitor; the movable mass blocks of the two accelerometer components along a first direction and the intermediate electrode block form the first differential capacitor; and the movable mass blocks of the two accelerometer components along a second direction and the intermediate electrode block form the second differential capacitor. The chip fabricated by the method disclosed in this invention has good integration, large capacitance, high sensitivity, and good linearity.

This utility model relates to the field of hazardous chemical safety, specifically to a hazardous chemical anti-tipping and diffusion device, including a box body for supporting the overall device. A door is located on the right side of the box body, and a storage tank is placed on the inner wall of the box body. An automatically retractable fireproof and explosion-proof curtain is fixedly connected to the upper part of the box body near the door. A slide rail is fixedly connected to the inner side of the box body, and the moving end of the automatically retractable fireproof and explosion-proof curtain slides on the inner wall of the slide rail. Through the cooperation of a sealing auxiliary component and the fireproof and explosion-proof curtain, when the curtain falls, the extrusion rod presses the L-shaped contact piece, pushing the piston disc inside the air cylinder downwards via a connecting rod. This forces gas through a connecting pipe into the inflatable sealing strip inside the slide rail, causing the strip to expand and tightly seal the gap between the curtain and the slide rail. A sealing gasket on the left side of the slide rail further enhances the sealing performance. Simultaneously, the combined use of a triaxial accelerometer and a pressure sensor can accurately capture the tilt angle of the tank, improving monitoring efficiency.

A real-time monitoring method and system for sag in overhead transmission lines for dynamic capacity expansion verification is disclosed. The method includes: establishing a catenary equation related to conductor temperature and suspension point tilt angle, deriving the functional relationship between sag and temperature and tilt angle; collecting real-time tilt angle and temperature using a triaxial accelerometer, and transmitting the data to a sag intelligent calculation module via a wireless communication unit and hybrid network; calculating the real-time conductor length by substituting the real-time temperature into a thermal expansion formula, deriving catenary parameters, and calculating the real-time sag value based on the aforementioned functional relationship; and transmitting the sag value to a monitoring and early warning management module for display and over-limit warning via a hybrid network. This invention achieves high-precision real-time sag monitoring, overcoming the shortcomings of traditional methods such as strong environmental dependence and discontinuous monitoring. It has advantages such as all-weather stability, low cost, easy deployment, reliable data transmission, and intelligent early warning, providing technical support for the safety verification of dynamic capacity expansion of transmission lines.

An automated self-precision validation accelerometer is configured for machine diagnosis for efficient and accurate vibration readings from the machine. The accelerometer sensor system conducts self-precision validation test and diagnosis. The accelerometer sensor system comprises two accelerometer sensors for more data acquisition. The usage of two tri-axial accelerometers identify ill-health of the sensors through a self-precision validation test conducted by a firmware module configured in the microcontroller unit that triggers the accelerometers to conduct in built self-test at specific constraints. The system 300 for self-precision validation accelerometer sensor comprises a power supply unit 301, a self-test sensor assembly 302, a wireless interface unit 303, and an external device 304. The firmware module 302c further sends a report on the test to the external device 304 through a wireless interface unit 303 advising for the replacement of sensor.

This invention provides a method for testing the vibration response of wind tunnel equipment, belonging to the field of wind tunnel technology. The invention involves installing multiple triaxial accelerometers at the main structural nodes of the wind tunnel equipment and establishing a vibration response game-theoretic optimization model. A vibration signal enhancement model is used to process the original vibration signal, constructing a micro-amplitude vibration feature matrix, a signal superposition weight matrix, and a spurious vibration index matrix for signal analysis. A comprehensive vibration evaluation index is calculated using a vibration response evaluation function, and corresponding optimization strategies are adopted to adjust the input size parameters according to different numerical ranges, achieving adaptive signal processing and temperature compensation. Finally, a test report is output, containing vibration response data, spurious signal identification results, and structural safety assessment conclusions. This invention solves the technical problem in existing technologies where it is impossible to accurately distinguish between the actual structural vibration of wind tunnel equipment and spurious vibration signals caused by temperature changes.