1652results about "Force/torque/work measurement apparatus calibration/testing" patented technology

The invention relates to the technical field of pressure transmitters, and discloses a high-precision self-adaptive pressure transmitter calibration method and system, and the method comprises the steps: carrying out the noise filtering processing of pressure signal data, obtaining standard signal data, carrying out the time-frequency domain joint analysis of the standard signal data, and obtaining a signal time-frequency joint representation; a dynamic compensation coefficient matrix of the target pressure transmitter is generated, and the response adaptation degree of the dynamic compensation coefficient matrix to the environment interference parameters is calculated; identifying a nonlinear error mode of the pressure transmitter, performing multi-dimensional parameter optimization on a calibration algorithm to obtain an optimal parameter, and extracting a key correction node parameter in a compensation function; adjusting factor distribution of each order of compensation item in the dynamic error correction model is analyzed, and a self-adaptive calibration instruction set of each order of compensation item in the dynamic error correction model is generated; and generating a multi-mode calibration scheme of the pressure transmitter. According to the invention, the calibration accuracy of the high-precision self-adaptive pressure transmitter can be improved.

The invention discloses a bolt pre-tightening force intelligent monitoring method and system based on acoustic characteristics, and relates to the technical field of structure monitoring, and the method comprises the steps: synchronously obtaining three types of acoustic characteristic data of resonance characteristics, sound velocity ratio and nonlinear characteristics, carrying out the interactive calibration, and generating a credibility evaluation result; according to a credibility evaluation result, dynamically adjusting weight coefficients of the three types of acoustic characteristic data in a pre-tightening force calculation weight distribution strategy; inputting the weighted three types of acoustic characteristic data into a staged fusion model by adopting a staged fusion strategy to carry out pretightening force joint calculation; and establishing a long-term monitoring database, and according to deviation analysis of historical monitoring data and a real-time resolving result, updating acquired acoustic characteristic data parameters and a weight distribution strategy to form a closed-loop calibration mechanism. The technical problems of poor dynamic adaptability of multi-source acoustic characteristic data and calculation error accumulation in bolt pre-tightening force monitoring under complex working conditions are solved.

The invention relates to the technical field of stress calibration, in particular to a real-time feedback target drone dynamic stress calibration method and system, and the method comprises the steps: 1, dividing a dynamic stress sensitive region based on a target drone three-dimensional dynamic model; 2, original stress signals output by the multi-axis stress sensor array are synchronously collected, and preprocessed stress signals are generated; 3, inputting the preprocessed stress signal into a dynamic stress compensation model; and 4, in a target aircraft controlled loading test, comparing calibrated stress data with measurement data of reference measurement equipment, reversely correcting neural network weight parameters of the dynamic stress compensation model according to a comparison difference value, updating a weight distribution strategy of a weighted least square method, and completing dynamic iteration of calibration parameters. Through combination of the multi-axis stress sensor array and the dynamic stress compensation model, accurate measurement and compensation of the dynamic stress of the target drone are realized.

The invention provides a packaging and sintering evaluation method and device for a power semiconductor device, and the method comprises the steps: carrying out the non-destructive scanning through a high-frequency acoustic microtechnique, carrying out the correction through combining with a temperature-sound velocity relation model, achieving the real-time monitoring of a sintering process, and solving a problem that the transient change cannot be captured. Through frequency domain conversion and an improved inverse Fourier transform algorithm, precise reconstruction of the microstructure of the sintering interface is realized, and the limitation that the microstructure is difficult to evaluate in the prior art is overcome. Based on the reconstructed microstructure, a detailed three-dimensional geometric model is established, and time domain finite element analysis is performed, so that comprehensive thermal stress evolution data is obtained, and the defect of surface information of a traditional method is overcome. And quantitative evaluation is carried out by using the multi-dimensional feature space and the preset discrimination model, so that comprehensive analysis of the sintering quality is realized, and the defect of lack of comprehensive quantitative evaluation capability is overcome. Through organic combination of the steps, the accuracy and comprehensiveness of packaging and sintering evaluation are remarkably improved.

The invention relates to the technical field of high-precision pressure sensing, and discloses a pressure response data calibration method and device and computer equipment, and the method comprises the steps: collecting the output response data of a pressure sensor array, and constructing a spatial feature matrix, a time feature matrix and an environment feature matrix based on the output response data; performing trilinear least square separation to obtain dynamic response data and time characteristic data; performing symmetric geometric mode decomposition to obtain linear response component data, periodic fluctuation component data and nonlinear characteristic component data; inputting a multi-branch gating circulation unit network model to carry out dynamic calibration strategy prediction to obtain a first dynamic calibration strategy; performing particle swarm iterative optimization to obtain a second dynamic calibration strategy, and generating a progressive calibration parameter set; static and dynamic pressure sensing calibration is performed on the pressure sensor array to obtain a comprehensive pressure sensing calibration result, so that the accuracy of pressure sensing calibration is improved.

The invention relates to the technical field of field data acquisition, in particular to an on-line temperature self-compensation calibration method and circuit for a force measurement transmitter. The calibration method comprises the steps that a working strain gauge and a temperature compensation gauge are synchronously excited through a two-way precision constant current source, the working strain gauge and the temperature compensation gauge are consistent in material parameter and are located in the same temperature field, and output current values of the two-way precision constant current source are equal and are controlled by a high-precision reference voltage source and a sampling resistor in a closed-loop mode. According to the invention, differential signals of the working strain gauge and the temperature compensation gauge are decoupled in real time through double-path precise constant-current source excitation and synchronous ADC acquisition technologies, gradient compensation is carried out on the temperature change rate in combination with a dynamic weighting algorithm, a lag error of traditional fixed coefficient compensation in a transient temperature field is effectively eliminated, and the accuracy of temperature compensation is improved. And online self-compensation of the temperature drift of the strain gauge is realized.

The invention relates to the technical field of sensor detection, in particular to a data acquisition and analysis system of a six-dimensional sensor, which comprises a data acquisition module used for acquiring standard output data and auxiliary data of the six-dimensional sensor, and fusing the standard output data and the auxiliary data to construct a state vector; pre-processing and labeling the state vector; and the data processing module is used for receiving the state vector in a period of fixed time as the input of the neural network model and outputting a compensation decoupling result of the state vector. According to the method, the uncertainty in a real environment is simulated by generating the dynamically changing simulation data, and rich training samples are provided for the neural network model; in combination with a reinforcement learning model, the system can adaptively adjust the behavior of the mechanical arm in a virtual environment, and the operation of the mechanical arm under different temperature and external force conditions is optimized; the dynamic simulation and optimization training mechanism not only enhances the adaptive capacity of the mechanical arm in a complex environment, but also improves the robustness and stability of a control system of the mechanical arm.

The invention discloses a high-precision pressure sensing and self-calibration system, and relates to the technical field of pressure sensing, the system comprises a pressure sensing module, an environment monitoring module, a data processing module, a digital twinning module and a self-calibration module, the pressure sensing module collects and converts pressure signals through a high-precision sensor, and the environment monitoring module obtains environment parameters in real time; the data processing module carries out amplification, filtering, analog-to-digital conversion and timely frequency domain analysis on the initial electric signal, and outputs preprocessed data in combination with environmental parameter dynamic compensation. The digital twin module constructs a sensor virtual model, and simulates and outputs an ideal pressure predicted value; and the self-calibration module compares the predicted value with the preprocessed data, generates a final pressure value through deviation calculation, iterative learning and data fusion, and can also calculate the health index of the sensor and perform early warning maintenance. The system realizes high-precision pressure induction and real-time self-calibration, improves the measurement accuracy and prolongs the service life of the sensor.

The invention relates to the technical field of precision machining, in particular to a cutting force signal synchronous calibration method based on multi-sensor data fusion, which comprises the following steps of: 1, dynamically preprocessing acquired signals; step 2, constructing a reference time axis based on the spindle current signal, and realizing time domain alignment of multichannel signals by adopting a dynamic time warping algorithm; 3, establishing a feature incidence matrix containing a force-vibration-temperature coupling relation, and generating a fusion cutting force feature vector through frequency domain energy weight distribution; 4, a dynamic transfer function model is constructed, model parameters are updated in real time, and the fusion feature vector is mapped into a calibration cutting force signal; and 5, carrying out dynamic compensation on the calibration signal by adopting a nonlinear inverse compensation and residual modal screening strategy. According to the method, the accuracy of cutting force signals can be remarkably improved, errors and uncertainty in the machining process are reduced, and the production quality and efficiency are optimized.

The invention discloses a miniature piezoelectric driving type detection contact integrated laser module and a contact type calibration method, particularly relates to the technical field of precision measurement, is used for solving the problem of dynamic time-varying interference of high-voltage driving pulses on micro-force signals, and is an interference coupling path synchronous acquisition and dynamic resolving technology based on a distributed electromagnetic probe. Online identification of transient interference energy distribution characteristics is realized; a multi-dimensional parameter fusion mechanism of an interference-response dynamic model quantifies cross-domain characteristics of interference energy, system response and signal noise into a comprehensive suppression coefficient, and reverse compensation waveform injection and adaptive filter dynamic adjustment are performed, so that full life cycle offset of common-mode noise is realized, and damage of residual interference to closed-loop control is avoided; through cross-domain collaborative analysis of laser-mechanical data, a self-healing iteration mechanism of contact type calibration parameters is established, progressive pollution of dynamic interference to a calibration reference is eradicated, and long-term consistency of detection precision under complex working conditions is ensured.

The invention discloses a wireless transmission anchor rod multipoint stress sensor system, which relates to the technical field of intelligent monitoring of geotechnical engineering and comprises a data sensing and acquisition module, a data processing and transmission module, a data receiving and storage module, a data analysis and decision module and a user interaction and management module. The technical key points are as follows: multi-protocol adaptive communication and quantum encryption are carried out, a multi-protocol adaptive communication stack is based on an improved near-end strategy optimization algorithm, intelligent switching of communication protocols can be completed in an extremely short time according to an actual environment, and the intelligent switching of the communication protocols can be completed in scenes such as mountainous area tunnels with complex and changeable signals. The problem that transmission of a traditional single protocol is prone to being interrupted is effectively avoided, continuity of data transmission is guaranteed, meanwhile, the integrated quantum key distribution unit adopts a BB84 protocol and is combined with a two-factor encryption system, data transmission safety is remarkably improved, quantum attacks can be effectively resisted in a monitoring scene with the extremely high requirement for data safety in confidential work, and the security of data transmission is improved. And the data leakage risk is avoided.

The invention belongs to the field of high-temperature sensing, and discloses a self-calibration high-temperature-resistant optical fiber temperature-vibration double-parameter sensor which comprises a packaging base, a packaging cover plate, a packaging sleeve, an optical fiber, a Bragg fiber grating and a sensitive diaphragm. The packaging cover plate is fixedly connected with the packaging base, a first diaphragm groove is formed in the top of the packaging base, a second diaphragm groove is formed in the bottom of the packaging cover plate, and the first diaphragm groove and the second diaphragm groove are oppositely arranged to form a vibration space of the sensitive diaphragm; the Bragg fiber grating is provided with a first Bragg grating and a second Bragg grating, the first Bragg grating is fixed on the packaging cover plate, and the second Bragg grating is fixedly arranged on the sensitive diaphragm; one end of the optical fiber is fixedly arranged in the central through hole and is packaged through a packaging sleeve fixed at the top of the packaging cover plate; the optical fiber end face and the sensitive diaphragm form a resonant cavity. According to the invention, temperature and vibration signals can be monitored synchronously under a high-temperature condition, self-calibration of the vibration signals is realized, and the measurement precision is improved.

The invention discloses a linkage differential measurement system and method suitable for micro thrust calibration. The system comprises a linkage differential measurement rack, a liquid metal radio frequency coaxial cable connector arranged on the rack, and a mass center precise regulation and control device arranged on the rack. The linkage differential measurement system provides micro-Newton-level micro thrust except environment common-mode noise; the method comprises the following steps: a torsional pendulum inclination angle control module controls a torsional pendulum inclination angle # imgabs0 #; the centroid position deviation calculation module is used for calculating centroid position deviation; judging whether the offset s of the current centroid position is less than 10 [mu] m or not; the mass center position adjusting module is used for adjusting the mass center position; the gravitational wave micro-thrust calibration torsional pendulum solves the problems that the gravitational wave thruster needs to calibrate thrust noise besides calibrating thrust, high rigidity of a coaxial cable can generate interference on motion of the gravitational wave micro-thrust calibration torsional pendulum, and the gravitational wave micro-thrust calibration torsional pendulum has extremely high requirements on sensing precision of mass center regulation and control.

The invention provides a dynamic calibration virtual system of a piezoelectric six-dimensional force sensor and a calibration method thereof, and the system collects and processes force and torque signals of the sensor in real time through integrating the six-dimensional force sensor, a data collection and processing module, a virtual simulation module, a virtual calibration module and a control module. The calibration matrix is automatically adjusted through a dynamic optimization algorithm, the virtual simulation module performs simulation calculation based on the physical characteristics of the sensor and data acquired in real time to generate optimized calibration data, so that the calibration precision is improved, the system can flexibly adjust calibration parameters in different working environments, and the calibration precision is improved. The sensor is ensured to maintain high-precision output under the change conditions of temperature, humidity and the like, the system effectively reduces coupling errors through an error correction unit and a dynamic calibration algorithm, and the stability and precision of the calibration process are improved.

The invention relates to the technical field of force sensors, and discloses a nonlinear decoupling method and system for a three-axis force sensor, and the method comprises the steps: collecting multi-dimensional original data, and carrying out the adaptive noise reduction, dynamic selection of a wavelet basis, and construction of a filtering matrix, and obtaining a noise reduction signal through calculation; constructing a dynamic PINN proxy model, fusing material parameters and environment parameters, outputting a stiffness matrix, establishing an online parameter updating mechanism, calculating the obtained optimization parameters, and constructing an enhanced dynamic compensation matrix; the output stiffness matrix and the enhanced dynamic compensation matrix are fused, and a main singular value is reserved; reconstructing to obtain a reconstructed strain field, establishing a multi-physics field coupling model to compensate quantum-thermal coupling errors, and compensating wire inductive coupling under high frequency; constructing a multi-scale graph structure, strengthening a loss function through physical constraint, performing crystal plasticity hysteresis compensation, fusing multi-scale features, and calculating and outputting a decoupling force value; and an intelligent calibration decision is established, the drift trend is predicted, and the calibration period is dynamically adjusted.

The present invention discloses a method for real-time monitoring and correction of an initial reference wavelength of a blade root load sensor of a power generation wind turbine, comprising the following steps: S1, mounting a grating optical fiber sensor on a blade, and calibrating the initial reference wavelength and sensitivity coefficient of the grating optical fiber sensor; S2, collecting the real-time wavelength of the grating optical fiber sensor; S3, calculating the real-time load of the blade based on the real-time wavelength, the initial reference wavelength and the sensitivity coefficient; S4, judging whether it is necessary to correct the initial reference wavelength of the grating optical fiber sensor based on load numerical logic; compared with the prior art, the present invention can reduce the problem of initial reference wavelength offset by correcting the initial reference wavelength of the grating optical fiber sensor, realize real-time correction, improve the load measurement accuracy, and reduce the time loss of repeated calibration.

The invention discloses a six-dimensional force / torque sensor decoupling system and method based on a width neural network, and the method comprises the steps: in a data collection and preprocessing unit, carrying out the null drift correction and normalization processing of a collected voltage signal through a weight type calibration platform and a data collection card, and forming a network model training data set; carrying out model training on the established six-dimensional force / torque sensor decoupling model of the width neural network, and solving a mapping matrix from a hidden layer to an output layer by adopting an importance score-based neuron pruning algorithm and a Moore-Pengos generalized inverse to obtain optimal model parameters; and finally, inputting the voltage signal subjected to data preprocessing to obtain a real-time output vector, and performing reverse normalization processing to obtain a decoupled six-dimensional force / torque vector. According to the method, precise decoupling of the six-dimensional force / torque sensor is achieved, and the inter-dimensional coupling error is remarkably reduced.

The invention belongs to the field of force sensor calibration, and particularly discloses a six-dimensional force sensor calibration method, system and equipment, and the method comprises the steps: obtaining the actual output data of a six-dimensional force sensor under different working conditions where calibration forces are applied: forces Fx, Fy and Fz and moments Mx, My and Mz in the X-axis direction, the Y-axis direction and the Z-axis direction; the working conditions comprise at least one of the conditions that the clamping jaw rotates to a plurality of preset angles on the XZ plane in the closed state, the clamping jaw rotates to a plurality of preset angles on the YZ plane in the closed state, and the clamping jaw is symmetrically opened to a plurality of preset angles along the Z axis on the XZ plane; based on different values and different working conditions of the calibration force, determining theoretical output data of the sensor when the calibration force of different values is applied; obtaining calibration parameters based on actual output data and theoretical output data of the sensor; the calibration parameters are used for calibrating actual output data when the six-dimensional force sensor works. According to the invention, the application effect of the six-dimensional force sensor on middle clamp instruments is improved.

The invention discloses a pressure sensor fault detection method and system and electronic equipment. The method comprises the steps of collecting historical working pressure data of a plurality of pressure sensors; constructing a prediction model based on the historical working pressure data of the plurality of pressure sensors, wherein the output of the prediction model is a predicted pressure value of the to-be-detected pressure sensor; comparing the actual pressure value of the to-be-detected pressure sensor with the corresponding predicted pressure value passing through the prediction model to generate a residual value; each statistical feature is compared with a corresponding threshold value to judge whether the to-be-detected pressure sensor breaks down or not, each statistical feature comprises a moving average value, a moving root-mean-square, a moving variance and moving energy, and each statistical feature is obtained through the residual value. According to the invention, accurate fault detection can be carried out on the pressure sensor, and the accuracy of fault detection of the pressure sensor is improved.

An on-line monitoring method and system for pre-tightening stress of a blade root bolt of a wind turbine generator. The method comprising: step S1, on the basis of a material type of a measured bolt, calculating bolt parameters in a zero-load state; and step S2, collecting related data of the measured bolt, and calculating to obtain an axial stress of the bolt to complete monitoring. The transit time of ultrasonic longitudinal and transverse waves in the bolt is measured by using the acoustic elasticity theory, and the axial stress of the bolt is obtained by performing ratio calculation on the basis of the transit time of longitudinal and transverse waves, so that the pre-tightening force of the blade root bolt is monitored in real time. The pre-tightening force of the fastened bolt of the blade root is monitored by using a double-wave method, which reduces the complexity of measurement, and facilitates the large-scale application of engineering projects.

The utility model provides a loading device for on-site rapid calibration of a multi-dimensional force sensor, which comprises a workbench, a loading chassis, a loading connecting piece, a top plate, a vertical loading mechanism and a horizontal loading mechanism, and is characterized in that the loading chassis is rotatably connected with the workbench, and the loading connecting piece is fixed at the top of the detected multi-dimensional force sensor; the vertical loading mechanism comprises a first lead screw loading assembly and a first sliding block, the first sliding block is connected with a first standard force sensor, and the first standard force sensor is connected with a first loading piece; the horizontal loading mechanism comprises a second lead screw loading assembly and a second sliding block, the second sliding block is connected with a second standard force sensor, and the second standard force sensor is connected with a second loading piece. The loading force applied to the loading connecting piece by the first loading piece and the second loading piece is changed along with continuous operation of the three motors, and the change of the loading force is continuous, so that continuous loading of any force is realized, and the loading precision is higher.

The invention belongs to the technical field of mobile terminal production equipment, and particularly relates to test equipment. The testing equipment comprises a conveying device and testing devices, the number of the testing stations is two, the testing stations are both provided with the testing devices, the conveying device comprises a rack, a first material moving line body and a second material moving line body, and the two opposite sides of the rack are provided with a feeding station and a discharging station respectively. The first material moving line body comprises a first conveying structure and a first transferring structure which are arranged on the machine frame in a sliding mode in the first direction, the second material moving line body comprises a second conveying structure and a second transferring structure which are arranged on the machine frame in a sliding mode in the first direction, and the first transferring structure or the first conveying structure slides to a feeding station and receives materials. The second transferring structure or the second conveying structure is used for discharging materials at the discharging station; the first conveying structure or the first transferring structure is in butt joint with the second conveying structure or the second transferring structure so that the second conveying structure or the second transferring structure can receive materials. The test efficiency and the production efficiency can be improved.

A force sensor is provided for use with an instrument. Accordingly, the force sensor includes a beam and a set of half-bridges that are arranged on the surface of the beam. Two of the half-bridges include tension resistors, while the other two half-bridges compression resistors. The half-bridges are arranged on the beam surface such that redundant measurements of orthogonal components of a force imparted to the beam can be made using four different combinations of three of the half-bridges.

The invention relates to the technical field of six-dimensional force sensor calibration, in particular to a high-precision six-dimensional force sensor calibration device and calibration method. The invention provides a high-precision six-dimensional force sensor calibration device which comprises a base, a calibration platform, a cross force application frame, an S-shaped tension sensor and a fixed pulley. The calibration platform is arranged on the base and is used for fixing the six-dimensional force sensor; the center point of the cross force application frame is connected to the six-dimensional force sensor, a plurality of fixed pulleys are arranged on the calibration platform, a plurality of S-shaped tension sensors are arranged on the cross force application frame, and loads are applied to the S-shaped tension sensors or directly applied to the cross force application frame through connection of a weight set and a rope and guidance of the fixed pulleys. Therefore, a single-dimensional force, a single-dimensional torque, a composite force or a composite torque is applied to the six-dimensional force sensor. Accurate loading of the six-dimensional force sensor is achieved, the device is simple in structure and convenient to operate, independent calibration of single-dimensional force / torque can be achieved, and combined loading can also be conducted.

A test bench for checking correct operation of torque wrenches to be tested may include: at least one calibration station for a torque wrench, wherein the at least one calibration station includes a transducer, including a rotating head, configured to couple with a tool head of the torque wrench so that the tool head and the rotating head rotate in unison; an electronic processing unit configured to control the transducer according to predetermined tightening programs consistent with the torque wrenches to be tested; and a locking mechanism of the torque wrench, configured to lock a handle of the torque wrench when the tool head is coupled to the rotating head, wherein the locking mechanism includes an elongated guide, on which a slide moves longitudinally with respect to the handle of the torque wrench, wherein the elongated guide includes reaction bars that limit movement by the handle of the torque wrench.

The invention discloses an error compensation method of a strain type six-dimensional force sensor based on multi-source sensing information fusion, and belongs to the technical field of intelligent sensors. The error compensation method comprises the following steps: data acquisition; preprocessing and fusing data; constructing an error prediction model by adopting a time sequence neural network; training data construction and model training; performing online error compensation and feedback; and verifying, adjusting and optimizing the system. Based on fusion of multiple sensors (IMU, a temperature module and a timer) and time sequence neural network modeling, combined online compensation of errors caused by gravity, temperature drift and time drift of the six-dimensional force sensor is achieved, the method has the advantages of being high in compensation precision, high in response speed and high in adaptive capacity, and the application requirements of various high-precision measurement and control systems are met.

The invention discloses an online stress monitoring device and method based on Modbus-RTU stress sensing and digital communication, and the method comprises the steps: collecting original stress data and a multi-dimensional environment parameter sequence through stress sensing nodes, constructing an exclusive environment gene map, generating a dynamic compensation model, and carrying out the environment coupling decoupling and self-adaptive correction of the original data; a periodic self-diagnosis process is executed in the monitoring process, signal impedance characteristics and output signal stability are analyzed, and an equipment state fault code is generated and actively uploaded through a Modbus-RTU protocol when abnormity occurs; triggering a cooperative monitoring mechanism based on the corrected stress measurement value, controlling adjacent nodes to enter a high-frequency sampling mode and generating a stress propagation dynamic cloud; meanwhile, a node performance baseline is established, and a gain self-regeneration process is started when performance degradation is detected. Accurate compensation and dynamic correction of stress data are realized, and the environmental adaptability, the operation reliability and the fault early warning capability of a monitoring system are remarkably improved.

The utility model discloses a static calibration and calibration platform for a precise six-dimensional force sensor. The static calibration and calibration platform comprises a detection platform, and a calibration clamping table, a calibration and calibration module and a plurality of counterweight modules which are arranged on the detection platform. And the counterweight modules are respectively arranged at the calibration ends of the calibration module. The calibration module comprises a force loading tool, an X-axis force calibration assembly, a Y-axis force calibration assembly and a Z-axis force calibration assembly. The force loading tool is fixed on the top of the tested six-dimensional force sensor. The force loading tool comprises a sensor chuck and a cantilever beam frame fixed on the sensor chuck. According to the utility model, the force loading tool is matched with the steel cables and the counterweight modules in multiple directions to form a multi-direction and multi-dimensional force-torque system calibration system, the design is precise, the structure is simple and easy to realize, a worker can quickly complete the installation and detection calibration of the detected six-dimensional force sensor, the detection precision is ensured, and the detection efficiency is improved. The device structure is simplified and the device cost is reduced.

The present application discloses a battery thermal runaway hidden danger recognizing method and device, a terminal, and a storage medium. A rigid mechanism is mounted on the side of a battery in an expansion direction, and a pressure sensor is mounted on the side of the rigid mechanism not in contact with the battery. The method comprises: acquiring a pressure value of the pressure sensor, establishing an initial pressure reference, and recording the current pressure value of the pressure sensor as an initial pressure value FP0; on the basis of the range of the pressure sensor and the initial pressure value FP0, determining whether the pressure sensor fails, and if yes, giving a pressure sensor failure alarm; and if not, acquiring a pressure value of the pressure sensor in real time on the basis of a measurement frequency f, and on the basis of the pressure value acquired in real time, recognizing whether a battery explosion-proof valve is turned on. The method, the device using the method, the terminal, and the storage medium improve the recognizing precision of battery thermal runaway hidden dangers.

Disclosed here is a landing gear support fixture for an aircraft under test having a landing gear. The disclosed landing gear support fixture includes: an axle attachment assembly that is compatibly shaped, sized, and configured to mate with and attach to at least one axle of the landing gear of the aircraft under test; a support platform to support the axle attachment assembly, wherein the support platform is in a fixed position relative to a stationary reference foundation; and a force sensor couplable between the axle attachment assembly and the support platform to provide sensor output associated with load imparted by the landing gear of the aircraft under test.