528 results about "Calibration test" patented technology

The invention relates to the technical field of calibration test, and particularly discloses a strapdown inertial navigation automatic calibration test method of a temperature control biaxial rate position turntable. Comprising the following steps: S1, multi-dimensional error modeling and layered calibration architecture: constructing a comprehensive error model containing a sensor scale factor error, an installation non-orthogonal error, a zero offset error, a cross axis coupling error and a temperature related error; s2, a wide temperature range self-adaptive compensation mechanism: carrying out heat preservation at a preset temperature point and executing turntable positioning and rate movement; s3, performing automatic data processing and parameter estimation; and S4, performing real-time error correction and dynamic verification: performing real-time error correction based on the estimated parameters, and evaluating navigation performance indexes such as position, speed and attitude precision. Through technical innovation, high-precision, automatic and wide-temperature-range calibration of the strapdown inertial navigation system is realized, and the method is suitable for aerospace, intelligent equipment and other scenes with strict navigation precision requirements, and has remarkable engineering application value and market competitiveness.

The invention relates to an AI server cooling water pump vibration quantity self-adaptive calibration test method and system, an intelligent test platform integrates a six-dimensional force sensor and a temperature compensation vibration exciter, the platform rigidity is automatically calibrated, a water pump-pipeline system transfer function is obtained, and a rotating speed-lift-modal frequency three-dimensional mathematical model is established; a three-axis MEMS accelerometer array is arranged at sensitive parts such as a water pump bearing seat and a motor shell, and vibration, current and pressure signals are synchronously collected; carrying out time-frequency domain signal processing by adopting variational mode decomposition in combination with self-adaptive S transformation, and extracting a 128-dimensional full-frequency domain feature vector containing a modulation side frequency band; effective values of vibration acceleration, speed and displacement are calculated through a frequency domain integration algorithm, and current harmonic interference is corrected through an electromagnetic vibration compensation model; and finally, a vibration health degree evaluation model containing 18 characteristic parameters is established based on a support vector machine, the test system comprises an intelligent test platform unit, a multi-source sensing unit, an edge calculation unit and a data management unit, and microsecond-level synchronous acquisition and GB-level data throughput are realized through a time sensitive network. And online incremental learning and automatic generation of a test report are supported. The method has the effect of improving the water pump vibration quantity test precision.

The invention relates to wide-range multi-component sensor calibration equipment and a wide-range multi-component sensor calibration method. The method comprises the following steps: firstly, checking equipment parts and setting a target temperature range and a compensation model of each temperature interval; then, dynamic temperature control is started, jig deformation is monitored in real time, a transient temperature gradient suppression technology is applied, multi-physical-quantity calibration is executed, and a compensation measurement value is output; then setting multi-environment coupling calibration test conditions to simulate actual working conditions, and monitoring and recording calibration data of each physical quantity; and finally, calculating a calibration error by combining a calibration result and a reference standard value. According to the process, by precisely setting parameters and combining dynamic control, real-time monitoring and multi-physical-quantity calibration, the transient temperature gradient influence is effectively inhibited, and the measurement precision of the sensor in a complex environment is ensured; the temperature control performance is improved through the micro soaking film and the intelligent temperature control strategy, the actual working condition is simulated through multi-environment coupling testing, the accuracy and reliability of the calibration result are remarkably improved through compensation and error calculation, and guarantee is provided for precise application of the sensor.

The invention belongs to the field of ultrasonic oil film thickness measurement, and discloses a minimum oil film thickness calibration method considering different friction pair shape structures, which utilizes an ultrasonic oil film thickness calibration platform capable of designing a corresponding calibration test piece according to different structure shapes of a measured friction pair, and aims at the shape structure characteristics of different friction pairs. The minimum oil film thicknesses of friction pairs with different shapes and structures are accurately controlled, ultrasonic reflection signals under the different minimum oil film thicknesses are collected and subjected to frequency domain analysis processing, and on the basis, polynomial fitting is conducted on the minimum oil film thicknesses and reflection coefficients in combination with a film thickness calculation model; and the ultrasonic minimum oil film thickness calibration under a special friction pair structure is realized.

The invention relates to the technical field of highway bridge safety monitoring, and discloses a bridge dynamic weighing algorithm based on likelihood estimation. A bridge is used as a carrier for vehicle weighing, an influence line of the bridge is obtained through a calibration test, and an influence line mean vector and an influence line covariance matrix are calculated; an influence line matrix is obtained based on the influence line mean vector, the vehicle speed and the axle distance, and an initial axle load value is calculated through a Moses algorithm; calculating a mean square error diagonal matrix of a measurement error according to the influence line matrix, the bridge load response and the axle load of the previous iteration step, and obtaining a covariance matrix of the bridge load response; calculating an axle load corresponding to the maximum likelihood probability based on the covariance matrix of the bridge load response in combination with the influence line matrix and the bridge load response; and repeating until the difference value between the axle weight updated this time and the axle weight obtained last time is smaller than a preset value, and taking the axle weight updated this time as a final result. According to the invention, the problem of low axle load identification precision of the existing bridge dynamic weighing system is solved.

The invention discloses a sensor calibration test system and a calibration test method for UUV intelligent perception, belongs to the technical field of underwater robots, and aims to solve the problems that the capability evaluation of the UUV intelligent perception system is difficult to realize, the credibility, the reliability and the accuracy are poor, and the UUV intelligent perception system cannot be fully matched with the actual application environment and cannot be optimized due to the existing underwater multi-mode comprehensive perception calibration mode. And the development and improvement of the intelligence of the UUV are directly influenced. The sensor calibration test system can simulate various motion modes of the underwater vehicle and the underwater target in navigation, so that a large number of calibration samples are formed, the three-dimensional imaging sonar, the underwater camera and the magnetometer can realize calibration of working parameters based on the underwater acousto-optic magnetic comprehensive beacon arranged on the underwater target, and the calibration precision is improved. After sensor calibration is completed, the system can be used for testing the calibration effect of the sensor, and the number of times and cost of sea test calibration are effectively reduced.

The invention discloses a lithium ion battery health state estimation method and system based on unsupervised transfer learning and electronic equipment, and the method comprises the following steps: selecting two different types of batteries, and determining a source domain battery and a target domain battery; obtaining a loop test data set, and further obtaining a sample set and a label set; performing data processing on the sample set and the label set to obtain a training verification data set; using the training verification data set to train a domain adversarial neural network model; inputting cycle test data of the battery to be tested into the domain adversarial neural network to obtain an estimation result; according to the method, the cycle test data and the calibration test data of the existing active domain battery and a small amount of cycle test data of the target domain battery without calibration test are utilized, a redundant target domain battery cycle test process is omitted, and accurate estimation of the health state of the target domain battery is realized.

The invention relates to the field of current sensor testing, in particular to a calibration test system for a three-phase TMR current sensor, which is provided with a calibration test mode switching device and organically integrates a calibration mode and a test mode into the same equipment. The current sensors with different compatibility can be calibrated and tested, the accuracy of the calibration and test results of the current sensors is ensured, the research and development efficiency is improved, and the equipment investment is reduced.

The invention relates to the technical field of reflectivity factor testing, and discloses a weather radar reflectivity factor precision calibration testing system, which comprises a radar data acquisition module for acquiring reflectivity factor data and finishing time synchronization by adopting an IEEE1588 protocol; the reference data management module is used for generating an electronic reference data set by utilizing a block chain technology; the calibration processing module is used for performing multi-source joint correction on the reflectivity factor data, the rain gauge data, the standard meteorological target template and the environmental parameters, and outputting the corrected reflectivity data; the precision verification module is used for carrying out real-time precision test on the correction data based on a sliding window, continuously generating test results, forming a precision evaluation vector by adopting weighted average, extracting a quality index to obtain a comprehensive score, and judging whether the correction data is normal or abnormal; and the alarm and report module is used for triggering graded alarm in case of abnormity and generating a calibration certificate and a test report. According to the invention, the precision monitoring capability is improved, manual judgment errors are reduced, and the operation efficiency is improved.

The invention relates to the technical field of highway bridge safety monitoring, in particular to a bridge dynamic weighing algorithm based on Bayesian maximum posterior probability. Obtaining influence lines through a bridge calibration test, and calculating an influence line matrix, a mean value and a covariance; using a Moses algorithm to obtain the vehicle axle load as the axle load of the initial main cycle i = 0; initial axle load distribution is set, the covariance of load response is obtained through the influence line covariance, the measurement noise and the axle load of the main cycle, and an axle load mean vector and a stable value of the covariance are iterated together with the influence line matrix, the initial axle load distribution and the load response to serve as the axle load distribution of the main cycle; according to the axle load distribution, the influence line matrix, the load response and the covariance thereof, the posterior probability of the axle load is obtained, and the axle load when the probability is the maximum serves as the axle load corresponding to the (i + 1) th main cycle; and repeating until the axle load update difference value is smaller than the preset value, and outputting the axle load result, thereby solving the problem of low axle load identification precision of the existing bridge dynamic weighing system.

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 cable strength detection method and system, relates to the technical field of cable detection, and solves the technical problems that the metal cable detection process is not standard, the defect positioning and quantification precision is low, the contradiction between the non-metal cable detection efficiency and precision is prominent, and microscopic verification is lacked. A high-frequency arc-shaped phased array probe, a bicrystal oblique TOFD probe and an oil-based high-viscosity coupling agent are adopted, a layered focusing technology is combined, laser ultrasonic non-contact detection and ultrasonic microscope high-resolution imaging are adopted for a non-metal cable, and spiral scanning and circumferential fixed-point scanning are combined, so that the defect omission ratio in the circumferential direction is reduced; the abnormal region judgment takes a calibration test block as a reference, the misjudgment rate is reduced, the authenticity is verified through coarse scanning and locking of a core region, fine scanning and acquisition of a high-resolution image and multi-angle imaging, the defect type judgment basis is clear, and the misjudgment rate is reduced.

The invention relates to the field of lithium ion battery health state evaluation, and discloses a lithium ion battery life in-situ rapid prediction method and device, and the method comprises the steps: carrying out a battery capacity calibration test, and obtaining a first calibration capacity Q1 of a battery; installing the battery in a mechanical system of the measuring device, and setting an initial pre-tightening force; standing the mechanical system of the measuring device for a preset standing time, and then testing the capacity calibration of the battery again to obtain a second calibration capacity Q2 of the battery; when the value of Q1 / Q2 is higher than a preset ratio, carrying out charge-discharge circulation on the battery, and in the charge-discharge circulation process of the battery, collecting the pressure change of the battery in the longitudinal direction, namely a pressure change curve of expansion force; and establishing an expansive force change fitting formula in the circulation process according to the pressure change curve of the expansive force, and predicting the service life of the battery according to the relationship between the expansive force and the calibrated capacity of the battery. By using the scheme of the invention, early warning of the advance can be realized, the algorithm is simple, and the applicability is high.

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.

According to the embodiment of the invention, leakage characteristic data of a plurality of sensors are collected in real time; performing filtering processing on the leakage characteristic data and then determining an area where a leakage source of the vacuum equipment is located; determining the confidence coefficient of the area where the leakage source is located, determining the confidence coefficient of the position of the leakage source based on the confidence coefficient of the area where the leakage source is located, and giving an alarm when the confidence coefficient of the position of the leakage source reaches a confidence threshold value; and injecting helium to the leakage source position of the vacuum equipment in a preset time period to perform calibration test, calculating a calibration error of the leakage source position of the vacuum equipment, and when the calibration error exceeds an error threshold value, recalculating the confidence coefficient of the leakage source position and resetting the confidence coefficient threshold value. The problems of high cost, low detection precision, slow response speed, dependence on artificial experience and incapability of real-time monitoring due to long-time use of a helium mass spectrum detection method when leakage positioning detection is performed on a leakage source of vacuum equipment in the prior art are solved.

The utility model relates to the field of rebound apparatus calibration, and discloses a calibration device for a concrete rebound apparatus, which comprises a bottom plate, side plates and upper surfaces fixed at two ends of the bottom plate, the side wall of the supporting block I is fixed with one group of side plates; one end of the sliding rail is fixed with the side wall of the side plate; the connecting block is movably mounted on the sliding rail; the screw rod is mounted in a threaded hole formed in the top of the connecting block; the pressing plate sleeves one end of the bottom of the screw rod; the guide rods are fixed to the tops of the two sides of the pressing plate. The rebound apparatus is horizontally supported through the first supporting block and the second supporting block, and the pressing plate is pressed on the top of the rebound apparatus, so that the rebound apparatus is in a newspaper clamping state, when the rebound apparatus is subjected to a calibration test, the rebound apparatus can be kept in a stable horizontal state and is kept perpendicular to a steel anvil, and the data accuracy is ensured when the rebound apparatus is calibrated.

The invention relates to multi-range calibration for a single pin parameter measurement unit. A test equipment system may provide a signal to a device under test (DUT), or receive a signal from the device under test (DUT). The test system may include an output stage having an output buffer circuit, which may be controlled locally or externally. An external controller may be used to provide a precision input signal, and in response, to measure current at a DUT interface node of the system, or to measure voltage characteristics of different components within the system. Using the input signal from an external controller, one or more aspects of the test system may be calibrated. For example, a current signal received from an external controller may be used to calibrate the resistance of a sense resistor in the output stage. In another example, a signal from an external controller may be used to determine a buffer offset characteristic to control a local drive circuit of the system.

The invention belongs to the technical field of calibration test, and provides a calibration test system and calibration test equipment, and the calibration test system comprises the calibration test equipment, control equipment and a plurality of to-be-calibrated test products. The calibration test equipment is connected with the control equipment and the plurality of to-be-calibrated test products, and is configured to execute the following steps: responding to a received calibration instruction issued by the control equipment, performing calibration test on the plurality of to-be-calibrated test products at the same time, and respectively obtaining a calibration result corresponding to each to-be-calibrated test product; and the control equipment is configured to execute the following steps: when the calibration result corresponding to each to-be-calibrated test product uploaded by the calibration test equipment is received, displaying the calibration result corresponding to each to-be-calibrated test product in the user interaction interface.

The invention discloses a test control method and system for a direct-current power supply, and relates to the field of simulation testing, and the method comprises the steps: constructing a three-dimensional adaptive model to complete the matching calibration of system software and hardware, and achieving the load calibration through the comparison of dynamic load simulation and actual measurement data; in the testing process, a three-stage starting mechanism is adopted to power on step by step, fault protection is configured, and parameter scanning and real-time recording are executed according to a preset mode and a testing point; a double-closed-loop feedback mechanism is introduced, an inner loop adjusts output parameters, and an outer loop predicts power grid disturbance and performs advanced compensation; a safety threshold value is dynamically generated in combination with real-time environment data, linkage protection of approaching early warning and overrun protection is achieved, and a reliable effective data set is formed through fusion processing and double verification of multi-source test data. The system has the advantages that the precision and intelligence of the whole test process are realized through dynamic load simulation, a multi-level safety protection system is constructed through a three-level starting mechanism, and the precision, safety and data value of the test are comprehensively improved.

The invention discloses a network security actual combat skill assessment method and system based on artificial intelligence analysis, and relates to the technical field related to network security, and the method comprises the steps: building a calibration test database, and building a first behavior sequence log of a target user; establishing a grade matching coefficient of the test environment; establishing a second behavior sequence log of the target user; executing multi-dimensional feature operation evaluation of mapping result backtracking, and establishing a first skill evaluation result; establishing a second skill evaluation result according to the first behavior sequence log, the second behavior sequence log and the dynamic test database; and fusing the first skill evaluation result and the second skill evaluation result, and outputting a network security actual combat skill evaluation result. The technical problem that in the prior art, actual combat skills of network security personnel in a complex real environment are difficult to accurately evaluate, and consequently the overall network security protection level is poor is solved, accurate network security skill evaluation is achieved, and the technical effect of improving the network security protection level is achieved.

The invention relates to the technical field of aero-engine tests, and particularly provides a calibration test device and method for a proving ring, and the device comprises a test bench, a heating part, and a loading part. The heating part is movably arranged on the test bed, and a heating cavity is formed in the heating part; the loading part is arranged on the test bed, a loading space is arranged on the loading part, and the loading space is used for placing the assembled bearing, the dynamometer ring and the squirrel cage elastic support; the loading space is located in the heating cavity; the heating part can move in the direction far away from the loading part until the loading space is separated from the heating cavity. Before the engine test, the clamping stagnation condition among the bearing, the force measuring ring and the squirrel cage elastic support can be obtained by simulating the real installation state of the force measuring ring in the calibration process of the force measuring ring, so that the efficiency of the subsequent engine test is greatly improved, the probability that the clamping stagnation occurs again in the subsequent engine test is reduced, and the reliability of the engine test is improved. And the required time and labor cost are reduced.

The invention discloses a VR head-mounted display optical calibration jig, and relates to the technical field of calibration test jigs, the VR head-mounted display optical calibration jig comprises a base, a head-mounted display limiting assembly and a shooting assembly; the head-mounted display limiting assembly is detachably mounted on the base, the head-mounted display limiting assembly comprises a first limiting module and a second limiting module, and the first limiting module and the second limiting module enclose to form a mounting space for accommodating a VR head-mounted display; the shooting assembly comprises a camera module, the camera module is movably connected to the base and located in the installation space, and the camera module faces the first limiting module to shoot the VR head-mounted display.

The invention provides a turbine flow calculation method based on multiple signals, and belongs to the technical field of turbine flow calculation, and the method comprises the following steps: based on the fact that a measured fluid flows through a turbine flow meter, obtaining multiple signals of the measured fluid by utilizing the turbine flow meter, and calculating the multiple signals of the measured fluid to obtain the multiple signals of the measured fluid; the initial volume flow, temperature and pressure of the measured fluid are obtained; querying the physical property parameter table of the measured fluid, and calculating the density and viscosity of the measured fluid in combination with the temperature and pressure of the measured fluid; setting a calibration test bed and calibration flow, obtaining calibration viscosity, obtaining a correction coefficient through nonlinear fitting and calculation, and constructing a volume flow correction formula; the viscosity of the measured fluid and the initial volume flow rate are substituted into a volume flow rate correction formula, the corrected volume flow rate is obtained, and the mass flow rate of the measured fluid is obtained through calculation in combination with the density of the measured fluid; the problem that an existing turbine flowmeter does not have the density, viscosity and mass flow calculation capacity is solved.

The invention discloses a pressure sensor metering test fixture, and relates to the field of metering test, the metering test fixture is configured to be an automatic test fixture system used for realizing automatic feeding, clamping and multi-dimensional pressure test of a pressure sensor, and the automatic test fixture system comprises a fixing jig, a feeding mechanism, a grabbing manipulator and a test mechanism, the fixing jig is used for fixing a pressure sensor to be tested; the feeding mechanism is used for achieving jacking conveying of the fixing jig. The grabbing manipulator is used for grabbing the fixed jig from the jig bearing disc; the testing mechanism is used for executing automatic multi-step pressure calibration testing on the fixed to-be-tested pressure sensor; according to the measuring and testing clamp, the fixing jig, the feeding mechanism, the grabbing mechanical arm and the testing mechanism are integrated, integrated equipment integrating automatic feeding, precise clamping, multi-station testing and automatic circulation is constructed, and full-process automation and intellectualization of pressure sensor measuring and testing are achieved.

The invention belongs to the field of ultrasonic oil film thickness measurement, discloses an ultrasonic oil film thickness calibration platform suitable for friction pairs with different structural shapes, and can finish true ultrasonic oil film thickness calibration of different friction pairs according to different design of a corresponding calibration test piece of the structural shapes of the measured friction pairs. The ultrasonic oil film thickness calibration platform comprises an upper beam, a side plate, a base, a structure-adjustable upper test plate, an oil groove, a structure-adjustable lower test plate, an ultrasonic probe tool, a nanometer displacement platform, a manual displacement platform, a pressure sensor, a manual platform adapter plate, a pressure sensor adapter plate and a probe tool gland. According to the ultrasonic oil film thickness calibration platform, the replaceable structure-adjustable upper test plate and the structure-adjustable lower test plate are designed and used for simulating the lubricating contact state of different bearing rollers and outer rings or other friction pairs with special shapes, and therefore ultrasonic oil film thickness calibration under a special structure is achieved.

The invention belongs to the field of dummy calibration tools, and discloses a Hybrid III dummy neck calibration tool and a calibration method, and the calibration tool comprises a connection base and a potentiometer support assembly. The connecting base is arranged between the swing arm of the calibration equipment and the near-chest end of the dummy cervical vertebra and has the function of stably connecting the near-chest end of the dummy cervical vertebra with the swing arm, so that the dummy neck can simulate the motion state under the real collision condition in the calibration test process. The fixed support is connected with the connecting base, and the movable support is connected to the near head end of the dummy cervical vertebra and can rotate relative to the fixed support. The angle sensor is installed between the fixed support and the movable support and used for measuring the relative rotation angle between the fixed support and the movable support, and therefore angle data support is provided for a neck calibration test.

The invention relates to a measurement standard equipment operation state evaluation method and evaluation system based on verification and detection data, computer equipment and a storage medium, and solves the problems of easy deviation, low efficiency and the like in verification, calibration and testing of operation measurement standard equipment in the prior art. According to the technical scheme, related data of measurement standard equipment are obtained, and influence factors are mined; analyzing the influence factors, and constructing a running state evaluation model; comprehensively screening and constructing an evaluation system based on the operation state evaluation model; calculating a comprehensive score of the metering equipment; and performing clustering and grading evaluation. The method has the advantages that the operation state evaluation model is constructed and based on the operation state evaluation model, the data analysis technology and multiple algorithms are utilized, state evaluation influence factors are mined through historical detection data and full-period data, operation state comprehensive scoring is carried out on the measurement standard equipment, the real-time state of the equipment is evaluated, the service life is predicted, existing problems are found and checked in time, and the measurement standard equipment is evaluated. And the lean management level of standard metering equipment is improved.

The invention discloses a frequency mixer test method, and relates to the technical field of microwave radio frequency test, and the method comprises the following steps: S1, building a test platform; s2, calibrating the test platform; s3, testing indexes; and according to the received reflection signal and standing wave signal, port isolation test, frequency conversion loss test, port standing wave test and output 1dB compression point test are carried out on the mixer to be tested, and a test curve of each index is drawn after the test is completed. According to the method, all key indexes of the mixer can be tested at different power frequency points through one-time calibration, meanwhile, standing wave testing of the LO port under high power can be achieved, the testing efficiency and accuracy are greatly improved, and the technical problems that in the prior art, multiple times of calibration are needed in the testing process, and the testing efficiency is low are solved.

The invention discloses a hybrid temperature compensation method for a miniaturized laser inertial measurement unit, which comprises the following steps of: carrying out a table parameter evaluation calibration test, a laser inertial measurement unit full-parameter evaluation calibration test and a laser inertial measurement unit power-on test by taking a temperature of 0 DEG C as a power-on temperature; adjusting the power-on temperature, repeating the test, and acquiring multiple groups of test data at different power-on temperatures; dynamically fusing the obtained multiple groups of test data at different power-on temperatures to construct a dense temperature data set; based on the dense temperature data set, constructing a primary temperature compensation model, and performing iterative optimization on the primary temperature compensation model to obtain a final optimal temperature compensation model; and completing hybrid temperature compensation of the laser inertial measurement unit according to the optimal temperature compensation model. The method provided by the invention solves the problem of inaccurate temperature compensation model caused by fast temperature rise of the miniaturized laser inertial measurement unit.

The present invention relates to the technical field of flexible sensors, and in particular to a calibration test platform for resistive flexible tactile sensors, which not only meets test requirements but also increases protection for easy loading and unloading and improves reliability. The platform comprises a platform plate, legs, a resistive flexible tactile sensor placement frame, hinges, a cover frame, a connecting frame, a spring, a guide rod, a guide tube, a movable top plate and a fixed top plate. The four corner sides of the bottom end of the platform plate are respectively connected to the top ends of a group of legs, the outer side of the top end of the platform plate is connected to the bottom end of the resistive flexible tactile sensor placement frame, the rear side of the top end of the resistive flexible tactile sensor placement frame is connected to the rear lower end of the cover frame via a hinge, the bottom ends of two groups of guide tubes on the left and right sides are respectively connected to the front and rear sides of the top end of a group of movable top plates, and the spring is sleeved on the guide rod and the guide tube, the two ends of the spring are respectively connected to the connecting frame and the movable top plate, the left and right ends of the lower inner side of the cover frame are respectively connected to a group of fixed top plates, and a thin rubber layer is sandwiched between the two groups of movable top plates and the fixed top plates.