974results about "Force/torque/work measurement apparatus calibration/testing" patented technology

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 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 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 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.

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.

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.

The invention discloses a calibration system and a calibration method of a six-dimensional sensor, belongs to the technical field of sensor calibration, and aims to solve the problems of inaccurate opportunity judgment, inaccurate null drift monitoring and incomplete fault identification of an existing calibration scheme. A calibration opportunity trigger module screens core parameters of mechanics, environment and mechanical wear based on an entropy weight method; calculating a trigger index to determine a calibration opportunity; the signal drift monitoring module records an initial signal, calculates an instantaneous drift value and a zero drift cumulant, and fits a slope to judge whether the zero drift is abnormal; the frequency domain and energy domain feature analysis module extracts a harmonic ratio through Fourier transform, calculates an energy entropy abrupt change fluctuation value and identifies frequency domain / energy domain abnormity; the calibration abnormity early warning module is used for storing multi-domain abnormity and triggering re-calibration or early warning; according to the invention, accurate calibration and abnormal early warning are realized, and the measurement accuracy and operation reliability of the sensor are guaranteed.

The invention discloses a calibration test method and system for a pressure sensor, and relates to the technical field of pressure sensor calibration. According to the method, original temperature and voltage data are collected in real time, ideal pressure is obtained through an ideal state equation, original output voltage is obtained through a preset relation model in combination with the temperature, then precise compensation of zero drift and sensitivity drift is completed in sequence through a multi-dimensional calibration coefficient, and further correction is performed through a linear regression relation polynomial, so that the accuracy of the zero drift and the sensitivity drift is improved. And finally, a detection pressure value is obtained. The output pressure value is closer to the real physical quantity, the application requirements of high-precision scenes such as medical equipment are met, and the calibration effect and the pressure measurement precision are improved.

The invention discloses a strain type force sensor automatic high-precision calibration system suitable for a locking and releasing mechanism, and the system is suitable for the locking and releasing mechanism, and can apply a variable load to a tested strain type force sensor. Therefore, the strain type force sensor generates a variable strain signal, measures a corresponding strain value, can generate a corresponding load signal, measures a corresponding load value, and provides a data basis for the calibration of the strain type force sensor. Through translation advancing and translation retreating of the piezoelectric screw displacement table, a step increasing, namely loading load and a step descending, namely unloading load can be applied to the strain type force sensor respectively, so that the influence of various working conditions in the measuring range of the strain type force sensor is fully detected, and the calibration of the strain type force sensor is more accurate. The method is widely applied to the technical field of sensor calibration.

The invention relates to a stress monitoring data correction system for a continuous beam bridge under the temperature influence, in particular to the field of bridge health monitoring, and effectively solves the problem of bridge stress monitoring data distortion under the temperature influence through multi-module collaborative innovation. The trend modeling module dynamically predicts a drift evolution law and quantifies a confidence level, the compensation correction module fuses physical constraints to generate an anti-interference drift compensation amount, and the health prediction module realizes accurate life evaluation based on a time-varying mechanism, so that finally, the reliability of monitoring data is remarkably improved, and misjudgment of a structural damage state is avoided; maintenance decisions are optimized, full-life-cycle safety of the bridge is guaranteed, and meanwhile invalid operation and maintenance cost caused by false alarms is reduced.

The invention belongs to the technical field of wind tunnel tests, and discloses a half-mode loading device control system and a control method thereof. The half-mode loading device control system is used for controlling four electric cylinders of the half-mode loading device, Fx, Fy, Mx, My and Mz value loading of a half-mode balance is achieved through the four electric cylinders, and the half-mode loading device control system takes a control computer and an embedded ARM controller as a core control unit and is responsible for collecting and processing all signals and controlling the operation positions of the electric cylinders. A motion and state prompting function is realized; the half-mode loading device control system comprises a main control computer, an embedded ARM controller and control circuits corresponding to the electric cylinders. The control method comprises the steps that the control system is powered on for self-test; carrying out load rationality inspection; calculating a target value of a tension and pressure sensor; loading in the current loading direction; unloading in the current loading direction; replacing the loading direction; and loading of all the load groups is completed. Through automatic control, the operation is simple and convenient.

The invention discloses a six-dimensional force sensor dynamic decoupling and coupling processing method, and relates to the technical field of mechanical measurement sensing detection, and the method comprises the steps: building a dynamic decoupling relation of six-dimensional mechanical component and elastomer strain response coupling mapping based on an original voltage signal and a static calibration parameter of a six-dimensional force sensor; dynamically modulating the mechanical compensation factor of the dynamic decoupling relation through the environmental influence factor; according to the modulated mechanical compensation factor, performing real-time suppression and compensation on coupling deviation caused by environmental disturbance, and outputting a six-dimensional mechanical component subjected to environmental compensation; performing high-precision decoupling processing on the six-dimensional mechanical component subjected to environment compensation to generate a corrected six-dimensional mechanical component; performing closed-loop online updating on the mechanical compensation factor of the dynamic decoupling relation by using the corrected six-dimensional mechanical component; according to the invention, the coupling deviation caused by environmental disturbance is suppressed and compensated in real time, and the defects of the six-dimensional force sensor in the aspects of decoupling precision and measurement stability are improved.

The invention relates to a locomotive coupler calibration test bench, and the test bench comprises a pressurization device which is used for providing the two ends of a to-be-tested coupler with opposite acting forces; the hoisting device is adjacent to the pressurizing device; the protection device is located on the outer side of the pressurizing device, and the protection device is configured to be switched between a first state for shielding the whole area of the pressurizing device and a second state for exposing at least part of the area of the pressurizing device. After the to-be-tested car coupler is hoisted to the pressurizing device through the hoisting device, acting force in opposite directions can be provided for the two ends of the to-be-tested car coupler through the pressurizing device, a conventional mode of applying traction force through locomotive traction is replaced, the force application control precision in the car coupler force calibration process is improved, and then the calibration result precision is improved; and train operation safety is guaranteed. Moreover, in the test process, the precision of the calibration result can be prevented from being influenced by foreign objects through the protection device, and meanwhile, the operation safety of testers is improved.

A system and method for providing tactile sensor calibration that include receiving force data from a force / torque sensor and tactile data from a plurality of taxels of a tactile sensor pad. The system and method also include interpolating the force data and the tactile data and pre-processing the interpolated data to align the force data and the tactile data to match data points. The system and method additionally include dividing the matched data points into individual interactions and computing a linear regression for each segment that is associated with each interaction. The system and method further include determining an amount of force that is absorbed by the tactile sensor pad based on a conversion of tactile measurements sensed by the plurality of taxels into Newtons based on the linear regression computed for each segment.

A combined three-dimensional force / torque sensor. A plurality of discrete one-dimensional force sensors (11, 12, 13, 14) are used to measure force components, and a conduction flange (2) is used to transmit an external force. The combined design effectively reduces inter-dimensional coupling and has a simple structure. The lateral torque and the axial pressure are monitored in a differential form and a summation form, thereby effectively improving the sensitivity and measurement accuracy of the sensor. Further disclosed is a miniature calibration system established by using the combined three-dimensional force / torque sensor. The calibration system has a small size and a simple structure, is easy to assemble and convenient to carry and transfer, and is capable of on-site calibration.

The invention discloses a motor testing device and a calibration method, a testing method and equipment thereof, and relates to the technical field of motor performance tests.A control assembly of the motor testing device is in communication connection with a torsion calibration device under the conditions that the motor testing device is in communication connection with the torsion calibration device, and a test calibration end is in transmission connection with the torsion calibration device; controlling the torque calibration device to output torque to the test calibration end, acquiring a torque value detected by the torque detection piece when the output torque of the torque calibration device reaches target calibration torque, and calibrating the torque detection piece according to a difference value between the detected torque value and the target calibration torque; under the condition that the motor testing device is electrically connected with the to-be-tested motor and the testing calibration end is in transmission connection with the to-be-tested motor, the controllable load part is controlled to output preset load torque to the torsion shaft and output preset electrical parameters to the to-be-tested motor, and torques detected by the torque detection part under different preset electrical parameters are obtained; according to the invention, the precision of motor small torque testing can be improved.

The invention discloses a six-dimensional sensor noise covariance matrix adjusting system based on impact response, and relates to the technical field of data processing, and the system comprises a base covariance construction module which is used for obtaining multi-sensor channel impact data, calculating a channel-level indication quantity, and fusing the channel-level indication quantity to obtain an impact score; determining an allowed adjustment channel set and an adjustable sub-block index, generating a diagonal priority mark, and obtaining a base covariance through weighted smoothing; the increment calculation verification module intercepts data, constructs a spatio-temporal data slice matrix, carries out shrinkage robustness estimation, generates candidate trial increment by combining channel weight and characteristic decomposition, and outputs unique trial increment after verification of an improved gate and a certificate margin gate; the adjustment fusion optimization module superposes the trial writing increment to the base covariance, after stability and consistency certificate inspection, self-adaptive adjustment is performed according to a three-section strategy, and a current noise covariance matrix is output through forgetting fusion; and the problems of numerical instability and distortion caused by redundancy adjustment in an impact environment are avoided.

The utility model relates to the field of pressure sensor chip testing, in particular to a device for testing a pressure sensor chip, which comprises a testboard, a connecting plug and a connecting piece, five groups of jacks are respectively arranged on the left side and the right side of the testboard, pressure detection modules are arranged in the jacks, one end of the connecting plug is inserted into the jacks, and the other end of the connecting plug is inserted into the connecting piece. The other end of the connecting plug is connected with one end of the first pressure sensor chip component, the connecting piece comprises a substrate, a guide pipe and output pipes, the guide pipe is fixed on the substrate, one end of the guide pipe is connected with an air inlet, the air inlet is connected with an air source system located in the test board through a pipeline, and five sets of output pipes are arranged at intervals and distributed on the guide pipe. The output pipe is communicated with the guide pipe, the output pipe is provided with an air outlet perpendicular to the guide pipe, the air outlet is connected with one end of the second pressure sensor chip component, the other end of the second pressure sensor chip component is connected with the other end of the first pressure sensor chip component, a control valve is arranged in the output pipe, and the detection efficiency is greatly improved.

According to the metering detection calibration method and system, the dynamic waiting time is determined on the basis of the characteristic relaxation time of the instrument to be calibrated, and data is recorded after output is stable, so that the problems that the traditional fixed waiting time cannot adapt to the relaxation characteristic of the instrument, and data instability or low efficiency is easily caused are solved; the instrument is ensured to be fully stable so as to improve data reliability, and waiting time redundancy is avoided; and meanwhile, the equivalent effective times are calculated by combining the actual retention time after the output value is stabilized and the characteristic relaxation time of the instrument to be calibrated, and a final calibration result is obtained by adopting a statistical method for dynamically quantifying the data contribution degree, so that the problems that the existing equal weighting or manual weighting mode is strong in subjectivity and is difficult to reflect the real reliability of the data are solved. And the accuracy and objectivity of the calibration result are improved.

The invention discloses a six-dimensional force sensor calibration method based on an intelligent algorithm and ensemble learning, which improves calibration precision and system adaptability by combining data anomaly detection, the intelligent algorithm and the ensemble learning. The calibration method comprises the following steps: S1, building a six-dimensional force sensor calibration system; s2, loading and unloading experiments of force and torque are carried out on the six-dimensional force sensor on the standard calibration table, and multi-channel analog signal data output by the six-dimensional force sensor are obtained; s3, repeating the operation in the step S2 for a plurality of times; s4, data anomaly detection; s5, performing preliminary calibration by adopting a multiple linear regression model to obtain a preliminary decoupling matrix of the six-dimensional force sensor; s6, calculating error data after multiple linear regression calibration, and taking the error data as input characteristics of subsequent error compensation; s7, performing error compensation based on the residual neural network; and S8, determining calibration precision and outputting a final model.

The invention relates to the technical field of data processing, in particular to a six-dimensional force sensor operation data processing method and system and a medium, and the system comprises a processing supervision center, a zero compensation unit, a working condition analysis unit, an operation evaluation unit, a progressive processing unit and a processing response unit. According to the invention, analysis is carried out preliminarily from the angle of zero compensation of the six-dimensional force sensor so as to carry out zero compensation management on the six-dimensional force sensor, and meanwhile, the working condition of the six-dimensional force sensor is deeply analyzed, so that on one hand, the operation condition of the six-dimensional force sensor can be supervised, and on the other hand, the working condition of the six-dimensional force sensor can be monitored; on the other hand, whether the abnormity of the six-dimensional force sensor is false abnormity caused by electrical interference or not can be known, analysis is carried out from the angle of data synchronism of the six-dimensional force sensor, force data deviation risk increase caused by asynchronous acquisition of the six-dimensional force sensor is avoided, data processing of the six-dimensional force sensor is deeply analyzed, and the accuracy of the data processing is improved. The operation data filtering processing quality of the six-dimensional force sensor is improved.

The invention relates to a Stewart six-dimensional force sensor, six branch chain rods distributed in an inclined manner are arranged between an upper platform and a lower platform, each branch chain rod comprises an upper rigid rod, an upper cross flexible hinge, a measuring unit, a lower cross flexible hinge and a lower rigid rod which are sequentially connected from top to bottom, the upper rigid rod is fixedly connected with the upper platform, and the lower rigid rod is fixedly connected with the lower platform. And the lower rigid rod is fixedly connected with the lower platform. A calibration device is used for calibrating a Stewart six-dimensional force sensor. The invention relates to a Stuart six-dimensional force sensor calibration method, which comprises the steps of off-line calibration and training and on-line measurement and calculation. The Stewart six-dimensional force sensor has the advantages of being large in rigidity, high in bearing capacity, stable in structure, fast in dynamic response, high in precision, good in isotropy and the like, and solves the problem that a traditional linear algorithm cannot process complex nonlinear errors. The measurement precision is reduced due to serious inter-dimensional coupling; and the complexity of a high-precision model is too high and the high-precision model is difficult to run in real time in an embedded system.

The invention provides a temperature and pressure optical fiber sensor based on MZ interference and FP interference and a preparation method and a sensitivity measurement method thereof, the temperature and pressure optical fiber sensor comprises an 8-shaped optical fiber structure and a Bragg grating optical fiber structure, and the optical fiber structures are cascaded to form an MZ-FP mixed interference structure. And simultaneous high-precision measurement of the temperature and the pressure is realized. On the basis of a traditional balloon-shaped MZ interference structure, the 8-shaped optical fiber structure is designed to be used for achieving MZ interference, the structure can better excite optical signals, therefore, MZ interference with the better effect is achieved, high-precision temperature measurement is achieved, and meanwhile compared with other existing optical fiber sensing structures, the optical fiber sensing structure has the advantages that the optical fiber sensing structure is simple in structure and low in cost. The possibility of optical fiber breakage in the manufacturing process is greatly reduced, and rapid preparation can be realized; and meanwhile, the cascaded Bragg grating fiber structure can realize FP interference, so that high-precision measurement of pressure is realized, and the influence on MZ interference is relatively small.

The application provides an engine torque calibration method and device and a vehicle controller, and belongs to the field of vehicle control, wherein the method comprises the following steps: obtaining an engine target torque and a generator signal torque of a hybrid vehicle; calculating a torque deviation of the hybrid vehicle according to the engine target torque and the generator signal torque; calculating an engine demand torque of the hybrid vehicle based on self-learning of the torque deviation, and calibrating the engine signal torque based on the engine demand torque, so that the engine signal torque, the generator signal torque and the engine target torque of the hybrid vehicle are consistent. Through the embodiment of the application, the problems that the real engine torque is too large to cause poor fuel consumption performance and poor drivability in low-temperature extreme working conditions are solved, the problem that the real engine torque is too small to cause unbalanced electric quantity in the emission cycle test process is solved, the fuel consumption performance of the vehicle is improved by improving the torque accuracy, the low-temperature driving performance of the vehicle is improved, and the electric quantity is more easily balanced.

The utility model relates to a portable dynamometer torque calibration device, and belongs to the technical field of rack torque calibration. Comprising a force arm, one end of the force arm is fixedly connected to a dynamometer, the other end of the force arm is provided with a force value sensor, a force applying mechanism is arranged below the force value sensor and applies force to the force value sensor, and the force value sensor is used for detecting a torque value and then comparing the torque value with a torque value of the dynamometer. The force applying mechanism comprises a bottom plate, a fixed pulley is arranged on the bottom plate, a movable pulley is arranged at the bottom of the force value sensor, a supporting rod is arranged on the bottom plate, a force applying lever obliquely arranged downwards is hinged to the supporting rod, a chain is wound around the fixed pulley and the movable pulley, and one end of the chain is arranged at the front end of the force applying lever. And the other end of the chain is fixed on the bottom plate. According to the invention, when the force application mechanism is used for applying force, the force application is very labor-saving, the operation is convenient, time-saving and labor-saving, the quick calibration of the dynamometer torque on the rack site is realized, and the calibration efficiency is improved.

The invention discloses a self-calibration flexible pressure sensing device, which comprises a first conductor and a second conductor which are in a strip-shaped, strip-shaped or linear structure and both have a piezoresistive effect. The isolating layer is arranged between the first conductor and the second conductor, and through holes or long grooves with continuous through holes are distributed in the surface of the isolating layer; and an encapsulation layer covering the first conductor and the second conductor. According to the embodiment of the invention, a dual-core layer piezoresistive structure and a through hole type isolation layer design are adopted, the dual-core layer design covers a range from small pressure to large pressure, the range limitation of a single material is broken through, and a dynamic self-calibration technology is combined, so that multi-parameter integrated detection of pressure magnitude, position and width is realized; the sensor array has the advantages of self-adaption to environment change, wide-range detection, multi-scene applicability and the like, the sensor for realizing the functions only needs four wires, complex wiring of the sensor array is avoided, miniaturization and flexibility are facilitated, a narrow strip-shaped flexible structure is adopted as a whole, and flexible arrangement of sensor tracks and garment integration are facilitated.

The application provides a pressure signal fitting method and device, the method comprises: applying pressure to each sensing point in a pressure sensor, measuring the relationship between pressure and resistance of each sensing point, and integrating to obtain the pressure-resistance relationship; the pressure-resistance relationship is corrected through a numerical filtering algorithm, and the corrected pressure-resistance relationship is fitted to obtain an optimized pressure-resistance relationship; the switching of the voltage sensing circuit sensing points is carried out through an integrated analog electronic switch, the voltage of the stressed multiple array sensing points is measured; the resistance of the multiple array sensing points is calculated according to the measured voltage combined with the acquisition circuit; and the pressure of the multiple array sensing points is calculated through the optimized pressure-resistance relationship; based on the area of the stress area and the non-stress area of the multiple array sensing points, the actual stress of the multiple array sensing points is calculated through the relationship between force and pressure.

The invention discloses a horizontal force bearing device of an engine, and relates to the technical field of thrust bearing of engines. The movable frame is horizontally arranged on the fixed frame and comprises a first frame, a second frame and a plurality of second connecting rods, the first frame and the second frame are connected with the fixed frame, the first frame is provided with a plurality of connecting holes used for being connected with the thrust end of the engine, and the second frame is used for transmitting thrust to the force measuring sensor; the plurality of second connecting rods are respectively arranged between the first frame and the second frame; the measuring force bearing seat is arranged on the fixed frame, and the measuring force sensor is fixed by the measuring force bearing seat; the standard force bearing seat is arranged on the fixed frame, and the standard force bearing seat, the measuring force bearing seat, the first frame, the second frame and the engine thrust end are coaxially arranged; the pre-tightening force loading structure is connected with the first frame, and the pre-tightening force loading structure is used for loading a pre-tightening force to enable the second frame to abut against the measuring force sensor. The method has the advantage that the horizontal thrust of the high-thrust engine can be accurately measured.

The invention relates to the technical field of signal processing, in particular to a multi-dimensional force signal processing method and system, and the method comprises the steps: obtaining analog signals outputted by a plurality of strain bridges, carrying out the amplification and filtering of the analog signals, and converting the analog signals into digital signals; under the standard force load, the relation between the digital signal and the corresponding load is obtained, and a calibration data set is obtained; establishing a mapping model between the digital signal and the multi-dimensional force based on the calibration data, and determining decoupling parameters by adopting a fitting algorithm; the digital signals collected in real time are calculated based on the decoupling parameters, and force values of all dimensions are obtained; and outputting the force value of each dimension through a plurality of communication interfaces, and carrying out online calibration on the decoupling parameters. According to the invention, the problem of insufficient precision caused by coupling interference among different channels in a multi-dimensional force signal processing process in the prior art is effectively solved, and high-precision and stable multi-dimensional force value output is realized.