28 results about "Measurement reliability" patented technology

The utility model belongs to the technical field of three-coordinate measuring machine maintenance, and particularly relates to a three-coordinate measuring machine maintenance assistive tool which comprises a bottom plate which is vertically arranged, and the upper end and the lower end of the right side of the front face of the bottom plate are respectively provided with a mounting hole; the two screws are perpendicular to the bottom plate and rotationally connected to the upper end and the lower end of the left side of the front face of the bottom plate correspondingly, and the threaded ends penetrate through the back face of the bottom plate; the driving mechanism is arranged on the left side of the front face of the bottom plate and is in transmission connection with the two screws. The bottom plate is attached and fixed to the side face of the supporting frame base plate, the threaded rod is in threaded connection with the threaded hole in the side face of the fixing plate, and therefore the supporting frame base plate can be driven to slide, tension adjustment of the bandage is achieved, operation is convenient, maintenance difficulty is small, rapid maintenance can be conducted on site, and the service life of the bandage is prolonged. Therefore, the measurement precision is improved, and the production continuity and the measurement reliability are guaranteed.

The invention discloses a fabricated building assembly clearance monitoring system and method, and relates to the technical field of building measurement, through the arrangement of a detection mechanism and the arrangement of the same sliding rods on the two sides of the device, the symmetry of left and right measurement structures can be ensured, and when the building assembly clearance is measured, the clearance measurement error caused by single-side stress deflection is avoided, and the measurement accuracy is improved. A graduated scale is arranged below a sliding rod, a gap width value can be directly read, a contact type end is detachably installed at the top end of the sliding rod, a mistaken touch prevention mechanism is automatically triggered after the end is installed, the measurement function can be locked when the end is not installed correctly, mistaken measurement and wrong measurement caused by loosening and not-in-place installation of the end are prevented, and the measurement reliability and safety are improved; the device can adapt to assembly gaps with different widths, the contact type end is always kept to be stably attached to the surface of the component, it is guaranteed that the measurement process is continuous and reliable, and the device is suitable for various assembly scenes.

The invention discloses a subway handrail composite injection molding on-line detection method, and relates to the technical field of railway vehicle detection, and the method comprises the steps: binding a unique number for each handrail, loading a compliance detection formula, building an arc length coordinate-circumferential angle coordinate model, and generating a grabbing area map and a grabbing weight map; two-dimensional appearance data and three-dimensional shape data are collected in the closed detection cabin and are expanded and fused, and quality measurement of data such as overexposure, shadow and missing is output; quantifying the minimum fillet, the protrusion height, the sharpness and the exposed substrate in the grasping area to form a measurement credibility mark and grasping safety risk index thermodynamic diagram; triggering supplementary collection and metering switching according to the threshold value, the risk and the credibility, grading and shunting by adopting confidence judgment, and generating a tracing evidence packet; according to the scheme, localizable quantification and reliable judgment of the safety defect of the grabbing area are achieved, misjudgment and missed judgment are reduced, reworking and quality tracing are facilitated, and deployment is easy.

The invention relates to the technical field of TDC displacement sensor calibration scheme design, in particular to a TDC displacement sensor calibration method and system for dynamic environment compensation. The method comprises the following steps: synchronously acquiring displacement measurement data and environmental parameters such as temperature, humidity and vibration in real time; calculating a compensation amount through a dynamic compensation model based on the environment data, and correcting a measured value; and starting online calibration to update model parameters when conditions are met. The system comprises a data acquisition module, a compensation processing module, a data correction module and an online calibration control module which are used for realizing the functions. Through combination of multi-dimensional environmental perception and dynamic adaptive compensation and introduction of an online calibration and self-diagnosis mechanism, the problems of precision reduction and insufficient stability of a traditional TDC sensor in a complex environment due to various interference factors are effectively solved, and the environmental adaptability and long-term measurement reliability of the TDC sensor are remarkably improved.

The utility model belongs to optical measurement technical field especially relates to a big deep diameter ratio micro -hole optical measurement support structure, including iron stand base, the center position fixed mounting of iron stand base has displacement platform, the top fixed mounting of displacement platform has fixed link, the top fixed mounting of fixed link has the article board, places the sample to be measured on the article board. This big deep diameter ratio micro -hole optical measurement support structure, clamping mechanism passes through the support rod of scale, lockable mounting seat and branch, the arc clamping jaw of adaptation multi -specification lens, realize digital microscope stable fixation and position adjustment, guarantee the coaxiality foundation of optical axis, fine adjustment mechanism helps the sleeve of scale, adjusting knob and limit guide component, realize accurate longitudinal and lateral fine adjustment, cooperate spring pre -tightening anti -loosening, high -efficient correction coaxiality. The combination of both enhances the system versatility, stability and adjustment accuracy, helps to improve the imaging quality and measurement reliability.

The invention discloses a GPS-based highway line accurate surveying and positioning method and system, and belongs to the technical field of highway line surveying and positioning, and the method comprises the steps: collecting the data of a multi-source sensor in a highway surveying process, carrying out the real-time zero offset calibration of angular velocity data outputted by a gyroscope, obtaining the calibrated angular velocity data, and carrying out the real-time zero offset calibration of the angular velocity data; according to the matching residual error of the visual feature data and the zero offset calibration value of the calibrated gyroscope, dynamically adjusting the visual weight, and based on the absolute position data, the zero offset calibration value and the dynamically adjusted visual positioning weight, obtaining a fusion positioning result of the road line through weighted fusion calculation. The fusion positioning result comprises a plane coordinate, an elevation value and an azimuth angle, and a precise survey report of the road line is generated according to the fusion positioning result. The method can dynamically calibrate gyroscope zero offset, dynamically distribute visual weight, realize'sensor reliability-weight 'adaptive matching, perform closed-loop fusion of multi-source data, and improve the precision of the road line. And the positioning precision and the elevation measurement reliability are improved.

The application discloses an error feature-based non-specific multivariate sensor state anomaly detection method, and belongs to the technical field of intelligent sensing and control. The method first collects measurement data of multiple sensors on the same physical state at the same time, and establishes a multi-source error boundary model; combined with the error distribution characteristics, a measurement error boundary containing noise and delay influence is constructed; then, noise deviation and delay deviation are dynamically corrected, and the error boundary of each sensor is translated and expanded; finally, the error boundary of all sensors is overlapped and analyzed. Through the fusion of noise and delay error characteristics, the application realizes adaptive consistency detection and anomaly identification of the measurement results of multiple source sensors, does not need to rely on specific physical variables, has strong model generalization, high real-time performance and good robustness, and can effectively improve the measurement reliability and operation safety of the system under the condition that part of the sensors fail, drift or are attacked.

The invention provides a multidimensional parameter adaptive optimal passive positioning method based on time difference and orientation. The method comprises the following steps: carrying out quantitative evaluation on positioning performance by adopting multidimensional parameters; performing parameter region division based on fuzzy logic, realizing multi-dimensional parameter joint judgment decision, and selecting an optimal positioning mode; in different positioning modes, the weight in positioning calculation is dynamically adjusted according to the confidence degree of each observed quantity; and a smooth transition mechanism is designed, and continuity of a target positioning result is realized when different positioning modes are switched. According to the method, multi-dimensional parameters such as a geometric accuracy factor (GDOP), a signal-to-noise ratio (SNR), time difference measurement consistency and azimuth measurement reliability are comprehensively utilized, and a positioning mode with the highest positioning accuracy in a current system state is determined according to parameter information of each dimension.

The invention discloses a data processing method and device based on ultrasonic water flow measurement and a storage medium. The method comprises the following steps: acquiring a set number of measurement data by taking a set moment as a reference; multi-modal features of the measurement data are obtained; calculating the confidence coefficient of a measurement result according to the plurality of multi-modal features, wherein the measurement result refers to a water flow numerical value calculated according to the measurement data; and determining the precision evaluation of the measurement result according to the confidence of the measurement result. According to the technical scheme, credibility quantification and precision evaluation of the measurement result under bubble interference are achieved, and the metering reliability of the ultrasonic water meter is improved.

The invention discloses an MEMS device test data processing method and device, equipment and a medium. The method comprises the steps that a test data file is acquired; analyzing the test data file according to at least one set analysis dimension to obtain a structured test data sequence corresponding to each dimension; extracting valid data from the test data sequence by adopting an event isolation window to form a valid data sequence; determining a test group according to the dimension corresponding to each valid data sequence; according to the effective data sequence of each test group, the reliability index of the test equipment is calculated, the performance of the test system can be comprehensively evaluated from multiple dimensions such as the data dispersion degree, the process specification meeting capability and the measurement reliability of the test system, the efficiency and accuracy of MEMS device test data processing are improved through the automatic processing flow, and the reliability of the test system is improved. Problems in test links can be found in time, and the test quality of batch MEMS devices is guaranteed.

The application discloses a pressure type liquid level meter remote calibration method and system based on an Internet of Things, and belongs to the field of instrument detection and calibration. The method comprises the following steps: collecting multi-source sensing data containing pressure, medium temperature and ambient atmospheric pressure; performing adaptive median filtering to remove impulse noise and Gaussian weight-based moving average smoothing processing on the pressure data in sequence; based on the preprocessed data, a nonlinear environmental compensation model is constructed by using a recursive least square method with a forgetting factor to dynamically track the nonlinear drift of the sensor; based on the real-time correction coefficient output by the model and the standard calibration curve, the calibration offset is calculated, the calibration instruction is generated, and the parameter update is executed to the terminal; through end-cloud cooperation and multi-source data fusion, the application realizes remote calibration and predictive maintenance with high precision and high safety, and significantly improves the measurement reliability and maintenance efficiency of the liquid level meter under complex working conditions.

The invention discloses a non-specific multivariable sensor state anomaly detection method based on error characteristics, and belongs to the technical field of intelligent perception and control. The method comprises the following steps: firstly, collecting measurement data of a plurality of sensors for the same physical state at the same moment, and establishing a multi-source error boundary model; a measurement error boundary containing noise and delay influence is constructed in combination with error distribution characteristics; then dynamically correcting the noise deviation and the delay offset, and translating and expanding the error boundary of each sensor; and finally, carrying out overlapping analysis on error boundaries of all sensors. According to the method, adaptive consistency detection and anomaly recognition of the measurement result of the multi-source sensor are realized by fusing error characteristics of noise and delay, dependence on specific physical variables is not needed, the model generalization is high, the real-time performance is high, the robustness is good, and the method is suitable for large-scale popularization and application. And the measurement reliability and the operation safety of the system can be effectively improved under the condition that part of sensors fail, drift or are attacked.

The invention discloses an optimal design method of a hydrographic measurement heavy hammer, the heavy hammer and a measurement system. The method comprises the following steps: determining a water surface and water bottom tension change threshold value, a sinking speed and mass and volume constraints; establishing an optimization model which takes the weight volume V, the material density rho and the shape parameter as decision variables and takes the minimum mass m as a target function; and solving the model to obtain an optimal solution and determining the specification of the heavy hammer. The heavy hammer is designed and manufactured according to the method, the shape of the heavy hammer can be spherical, drop-shaped or torpedo-shaped, and the optimal parameters are as follows: the volume V0 is approximately equal to 1.3265 * 10 <-4 > m < 3 >, the density rho0 is approximately equal to 2922kg / m < 3 >, and the mass m0 is approximately equal to 0.3875 kg. The heavy hammer body can adopt a separable assembly structure, a balancing weight can be arranged in the heavy hammer body to adjust the density, and a temperature sensor and a wireless communication module can be integrated. According to the invention, empirical design is converted into scientific optimization, a tension change signal (deltaT1 is greater than or equal to 1.3 N, and deltaT2 is greater than or equal to 2.5 N) is ensured to be obvious, the sinking speed is high (greater than or equal to 1m / s), meanwhile, light weight (m is less than or equal to 0.5 kg) and multifunctional integration are realized, and the contradiction among measurement reliability, efficiency and equipment portability is effectively solved.

The present application relates to the technical field of mine roof monitoring, and particularly relates to a high-precision displacement measurement method and system for a mine roof, which solves the technical problem of insufficient measurement reliability and precision in the prior art. The method comprises: collecting displacement data and installation angle data of a plurality of monitoring points in the mine roof; performing angle correction on the displacement data of each monitoring point according to the installation angle data to obtain corrected displacement data; determining the instantaneous displacement of each monitoring point at each time according to the corrected displacement data of the plurality of monitoring points; performing collaborative analysis on the instantaneous displacement of each monitoring point at each time that is greater than a preset displacement threshold, to determine a collaborative performance value of the instantaneous displacement corresponding monitoring point at the corresponding time; and filtering vibration interference from the corrected displacement data of the plurality of monitoring points according to the collaborative performance value, to obtain true displacement data.

The invention relates to the technical field of mining roof monitoring, in particular to a high-precision measurement method and system for the displacement of a mining roof, and solves the technical problem of insufficient measurement reliability and precision in the prior art. The method comprises the following steps: acquiring displacement data and installation angle data of a plurality of monitoring points in the mining roof; performing angle correction on the displacement data of each monitoring point according to the installation angle data to obtain corrected displacement data; determining the instantaneous displacement of each monitoring point at each moment according to the corrected displacement data of the plurality of monitoring points; performing collaborative analysis on the instantaneous displacement greater than a preset displacement threshold in the instantaneous displacement of each monitoring point at each moment, and determining a collaborative performance value of the monitoring point corresponding to the instantaneous displacement at the corresponding moment; and screening vibration data segments from the corrected displacement data of the plurality of monitoring points according to the collaborative performance values, and carrying out vibration interference filtering on the vibration data segments to obtain real displacement data.

The invention relates to a simple tunnel contour multi-point deformation laser measuring device and a measuring method thereof.The simple tunnel contour multi-point deformation laser measuring device comprises an angle positioning module, a laser ranging module and a control storage module, the angle positioning module comprises a shell installed on the inner wall of a tunnel, and a plurality of strip seams evenly distributed in a semi-arc shape are formed in the end, away from the inner wall of the tunnel, of the shell; the distribution axis of the plurality of slots is parallel to the axis of the tunnel, and a slot detection piece is arranged in the shell; the laser ranging module is arranged in the shell and driven by the rotating assembly to rotate in the distribution direction of the multiple slots. The slot detection piece and the laser ranging module rotate synchronously, when the slot detection piece detects a slot in the rotating process, the storage module is controlled to receive a signal of the slot detection piece and control the laser ranging module to work, and light emitted by the laser ranging module penetrates through the slot corresponding to the position, so that measurement is achieved. According to the invention, a plurality of slots are used for replacing a high-precision rotary encoder, so that the hardware cost and complexity of equipment are greatly reduced, and the measurement reliability and repeatability are improved.

This invention relates to the interdisciplinary field of optical precision measurement and automated control, specifically a dynamic angle measurement system using a synchronous frequency. The system comprises a measurement unit, a scanning control unit, a linkage unit, a frequency synchronization unit, a reference unit, a data processing unit, and a host computer. The reference unit provides an angle reference. The frequency synchronization unit provides a reference clock signal, drives the scanning control unit to generate control signals, and also drives the measurement unit to output external angle signals. The frequency synchronization unit reads and synthesizes the control signals and the external angle signals, and sends them to the linkage unit and the data processing unit. The data processing unit calculates error signals. The linkage unit adjusts the operating parameters of the measurement unit and the scanning control unit to improve scanning accuracy. This invention also includes a method. This invention achieves ultra-high frequency, high-precision synchronization, meeting the stringent requirements of high-precision equipment for measurement synchronization and accuracy. It also achieves deep real-time linkage between measurement and control, further improving measurement reliability and accuracy.

The invention provides a small gas-liquid dual-purpose high-precision sound velocity measurement device and method. The device comprises a tubular cavity with two closed ends, a receiving and transmitting integrated sonar sensor, a high-reflectivity reflecting plate and an environment module, the tubular cavity is made of a rigid material, the length is fixed, the error and the surface roughness of the inner wall are within a preset threshold range, no complex separation structure exists in the tubular cavity, and the tubular cavity is suitable for sound velocity measurement of gas and liquid media; the transmitting-receiving integrated sonar module is fixed at one end of the tubular cavity, the high-reflectivity reflecting plates are arranged in the middle and at the other end of the tubular cavity, and the transmitting-receiving integrated sonar module, the high-reflectivity reflecting plates and the tubular cavity cooperate to achieve transmitting, reflecting and receiving of sound waves; the environment module is integrated with a temperature sensor, a pressure sensor and a data transmission interface, and is used for collecting environment parameters in the tubular cavity in real time and transmitting the environment parameters to external processing equipment; the universality and the operation efficiency are greatly improved; the measurement reliability is improved; the size of the equipment is compressed through the integrated design of the assembly, miniaturization is achieved, and the applicability of space-limited scenes is improved.

The invention discloses a dangerous source space measurement system and method, and relates to the technical field of power transmission channel safety monitoring, and the system comprises a point cloud collection module, a monocular image collection module, a point cloud processing module, a joint calibration module, a binocular measurement subsystem, a space measurement module, a data fusion module, and a control module. According to the dangerous source space measurement system and the measurement method thereof, a point cloud processing link is combined with scene feature optimization algorithms such as wire linearity and construction machinery volume, interference filtering is more accurate, and the system and the method are different from a general point cloud processing technology; the calibration module takes known parameters of the lead as a reference object, and calibration objects do not need to be additionally deployed, so that the field scene calibration problem is solved; dynamic distortion correction and multi-scale lead center line extraction are newly added in binocular measurement, the anti-interference capability in the complex environment is improved, and the limitation of existing fixed parameter correction is broken through, so that the measurement reliability and adaptability in the field complex environment are improved, and a special calibration object does not need to be additionally deployed.

The invention relates to the technical field of force sensors, in particular to a high-precision quick-pasting process for a Beam's elastomer and a paster assembly of the Beam's elastomer. Aiming at the problems that a beam type elastomer pasting area is narrow in space and irregular in distribution, the manual pasting efficiency is low, the precision is greatly influenced by personnel experience, automatic pasting operation faces significant challenges, and the requirements of large-scale industrial production for consistency and high precision are difficult to meet, the following technical scheme is provided: the rapid pasting process comprises the following steps: S1, carrying out rapid pasting; a plurality of temporary patch mold units are assembled into a patch assembly of a chain-shaped structure; s2, the patch assembly is unfolded to be in a plane state, and the temporary patch mold unit is coated with temporary bonding glue; and S3, mounting the strain gauges by adopting visual alignment equipment. According to the invention, automatic high-precision surface mounting of the beam type elastomer can be realized, the production efficiency and the surface mounting consistency are improved, the large-scale industrial production requirement is met, and the measurement reliability of the multi-dimensional force sensor is ensured.

This invention discloses a device and method for measuring the jacking distance of a pipe jacking machine, comprising: a controller and a first measuring component; the first measuring component includes: a measuring wheel, the wheel surface of which is used to form frictional transmission contact with the outer surface of the pipe section moving during the jacking process; an encoder, coaxially connected to the measuring wheel; an encoder fixing plate, the first end of which is connected to the encoder; a mounting base; an adjusting rod, one end of which is fixedly connected to the mounting base, and the other end of which is fixedly connected to the second end of the encoder fixing plate; a pressure adjusting ring, disposed between the mounting base and the encoder fixing plate, and rotatably connected to the adjusting rod; a pre-tightening mechanism, one end of which is connected to the pressure adjusting ring, and the other end of which is connected to the encoder fixing plate, for applying a pre-tightening force toward the outer surface of the pipe section to the measuring wheel; the controller is connected to the encoder and calculates the jacking distance of the pipe jacking machine based on the output data of the encoder. This invention can realize real-time measurement of the jacking distance, obtain continuous and calibrable jacking distance data, effectively reduce errors, and improve measurement reliability.

The invention relates to a self-adaptive weighted recursive filtering method of an ultrasonic gas flowmeter, in particular to a method for carrying out self-adaptive weighted and recursive filtering processing on transit time measurement data in the ultrasonic gas flowmeter, and belongs to the field of ultrasonic flow measurement. The method comprises the following steps: S1, taking downstream transit time and countercurrent transit time obtained in a current measurement period as input data of a filtering algorithm; s2, reference transit time under the zero-flow working condition is introduced, and down-flow transit time decrement and counter-flow transit time increment are calculated; and S3, according to a difference value between the downstream transit time decrement and the countercurrent transit time increment and a change relationship between a current measurement value and a previous filtering output value, constructing an adaptive weight of the measurement data, and carrying out weighted recursive average operation on the transit time data in a preset filtering window to obtain a stable transit time filtering result. According to the scheme, by combining the physical consistency characteristics of the forward and reverse flow transit time, abnormal or incredible measurement data are inhibited, and the influence of flow field fluctuation, gas parameter change and system noise on the transit time measurement result is effectively reduced. Compared with a traditional filtering method, the method has the advantages that no extra hardware circuit needs to be added, high-stability filtering processing can be achieved only by depending on transition time data, and the measurement reliability of the ultrasonic gas flowmeter is improved.

The invention relates to the technical field of measurement data processing. The method comprises the steps that flow velocity calculation processing is executed according to a continuous sampling sequence and a preset sampling period, the weight change flow velocity is obtained, and when a weight stability sign indicates that the weight is stable, the weight change flow velocity is calculated; and obtaining a flow velocity judgment result according to the weight difference value, the weight change flow velocity and a preset threshold rule, obtaining an updated zero AD value when the flow velocity judgment result is a creep drift judgment result, and obtaining an updated stable weight value if the flow velocity judgment result is a real change judgment result. The method has the effect of improving the measurement reliability and consistency of the strain gauge pressure sensor in continuous loading and long-term measurement scenes.

The invention relates to the technical field of dehumidification equipment fault diagnosis and intelligent control, and discloses a dehumidification equipment fault identification and control method based on deep learning. The method comprises the following steps: arranging multi-point humidity sensors in a dehumidification area, collecting and calculating average humidity, constructing a recursive humidity state based on the average humidity, and updating according to a discrete period; target humidity is obtained, a sliding mode error state is formed, disturbance and error indication quantities are constructed through a recursive state and a sliding mode error, a self-adaptive criterion threshold value is obtained through statistics, and a fault mark is generated; identifying and recording a local abnormal region by utilizing the humidity single-step increment and the spatial variance thereof; determining a wind speed adjusting range and an initial value according to the lowest and highest safe wind speeds of the fan, and calculating and limiting a wind speed adjusting quantity to drive the fan to operate in combination with a sliding mode error; the state quantity and the abnormal area are recorded when the fault occurs, the recursive state is reinitialized after maintenance, the wind speed and sliding mode error recover closed-loop control, and the system measurement reliability and the fault recognition accuracy are improved.

The invention relates to the technical field of measurement equipment for resistivity while drilling, in particular to a multi-frequency measurement device for resistivity while drilling, which comprises a drill bit, a drill rod main body, a transmitting component and a receiving component, a push plate is arranged on the outer wall of the receiving component, an inclined plane is arranged on the inner wall of the push plate, a linkage component is connected to the side wall of the push plate, and an interlocking component is arranged in the push plate; the dynamic coupling mechanism that the linkage part is matched with the rotating speed of the drill rod and centrifugal force is adopted, self-adjustment of the distance between the receiving part and the transmitting part in the sensor is achieved, the inclined face on the inner side of the push plate converts radial displacement into axial thrust through the centrifugal force change, and therefore the source distance is always matched with the electromagnetic wave frequency and the detection depth requirement; the resistivity data error is reduced, and the measurement reliability in a complex environment is improved.

This application discloses an automated measurement device and method for overhead conductor sag based on multi-sensor fusion. The device includes a vision computing platform, a pan-tilt control platform, a data acquisition platform, and a human-machine interaction platform. Specifically: the vision computing platform identifies the suspension points of the conductor on the local side, the opposite side, and the tangent position using image recognition technology, and sends the target position information to the pan-tilt control platform; the pan-tilt control platform automatically controls the pan-tilt to align with the target based on the target position information; the data acquisition platform collects the required data for sag calculation after pan-tilt alignment, including the height of the conductor suspension point on the local side, the angle between the measuring device and the conductor tangent, and the straight-line distance and angle between the measuring device and the opposite side suspension point; the measuring device calculates the conductor sag based on the collected data; and the human-machine interaction platform displays the measurement results of the conductor sag. This application helps to achieve highly automated and high-precision sag measurement, improving measurement reliability and engineering applicability.

This invention discloses a test method for verifying the reliability of an unmanned aerial vehicle (UAV) wave measurement system, comprising a water tank and a wind-generating system, a wave simulation system, and a test environment parameter acquisition system disposed within the water tank. The wind-generating system provides an adjustable wind field for the UAV equipped with the wave measurement system to simulate offshore wind conditions. The wave simulation system simulates various wave conditions required for UAV wave measurement. The test environment parameter acquisition system collects wind speed data and true wave data below the UAV test area. During UAV wave data measurement, the test environment parameter acquisition system synchronously records the wind speed data and true wave data below the test area. After the test, the wave measurement data and true wave data of the UAV are compared and analyzed to calculate the measurement error, thereby evaluating the measurement reliability of the UAV wave measurement system under different operating conditions.

The invention discloses a stabilizing table for photoelectric material detection, and belongs to the technical field of detection equipment, the stabilizing table comprises a stabilizing table plate, a hinge support, an operation table plate, a clamping assembly and a lifting driving assembly; the two hinge supports are fixedly installed on the two sides of one end of the stable platen respectively, and angle rulers are installed at the tops of the hinge supports. The operation table plate is rotationally hinged between the two hinged supports, and the bevel protractor is used for measuring the inclination angle of the operation table plate; a guide through groove is formed in the center of the operation table plate; the clamping assemblies are correspondingly connected to the guide through grooves and used for clamping photoelectric materials of different sizes. The lifting driving assembly is correspondingly arranged between the stable table plate and the operation table plate, and the lifting driving assembly drives the operation table plate to conduct rotation angle adjustment along the hinged support. The device integrates the functions of angle adjustment, observation and material fixing and clamping, is simple and convenient to operate, remarkably improves the detection efficiency and precision, and has both practicability and measurement reliability.