391 results about "Transducer calibration" patented technology

The invention relates to the technical field of sensor calibration, in particular to an environment adaptive multi-dimensional calibration method for an excavation type intelligent sensor, which comprises the following steps: acquiring temperature, humidity and gas data through environment monitoring, comparing with a threshold value, marking an abnormal state, evaluating the influence of each parameter on a sensor signal and analyzing fluctuation amplitude and intensity; combining sensor sensitivity and response rate to screen key factors, extracting factor fluctuation trend, optimizing signal disturbance weight and response path, correcting signals in real time, updating a calibration parameter set, monitoring signal values based on multi-dimensional parameters, and adjusting output to maintain a stable range. According to the invention, temperature and humidity and gas abnormity are dynamically identified through threshold comparison, a factor model is constructed based on sensitivity weight, a multi-dimensional calibration path is generated, a parameter set is updated in real time to decouple environment sudden change and sensor drift, signal self-adaptive convergence is realized through closed-loop control, multi-parameter interference errors are reduced, and the bottleneck of calibration delay is broken through. And the time-varying working condition data stability is ensured.

The invention relates to the technical field of sensor calibration, and particularly discloses a high-precision automatic calibration system and method for a multispectral sensor. Comprising a multispectral signal acquisition module, a sensor response optimization module, a spectral feature matching module, a calibration parameter optimization module, an automatic calibration execution module, a calibration error evaluation module and a multi-node cooperative calibration module. The method comprises the following steps: acquiring an original spectral signal, and performing dynamic compensation to generate an optimized signal; extracting spectral feature points and matching the spectral feature points with a standard library to quantify feature deviation; fusing the environment data and the deviation value, and generating an optimal calibration parameter through optimization; real-time calibration is implemented based on parameters, and a cloud report is automatically generated; and constructing a calibration error evaluation model, evaluating the calibration error of the multispectral sensor, and dynamically adjusting a calibration strategy through cooperation of the distributed nodes and the central control unit. According to the invention, the automatic calibration process of the sensor is realized, and the calibration precision of the multispectral sensor in a complex environment is improved.

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 discloses a curved surface stress detection method, which comprises the following steps of: 1, fixing a detected piece on an object placing table by using a self-adaptive clamp; step 2, scanning the measured piece to generate three-dimensional shape data of the measured piece; 3, calibrating the initial position of the measured piece by a displacement sensor, and establishing a coordinate system; step 4, adjusting the position of the measured piece by using a self-adaptive clamp, emitting X-rays to the measured piece by using an X-ray tube, and collecting diffraction signals by using a second detector; and step 5, the calculation module calculates the stress distribution state of the measured piece. According to the curved surface stress detection method, the problems of low irregular surface positioning precision and poor adaptability of traditional equipment are solved, and the detection efficiency and reliability are remarkably improved.

The invention relates to the technical field of sensors, and discloses a detection and management method and system for purification equipment. The method comprises the following steps: carrying out three-phase coupling dynamic modeling on a gas phase flow state, a particle phase movement track and a sensor phase interface characteristic in the purification equipment to obtain a gas mass transfer characteristic parameter; performing response characteristic analysis on a real-time detection signal of a sensor array in the purification equipment to obtain a sensor calibration compensation parameter; based on the sensor calibration compensation parameters and the gas mass transfer characteristic parameters, deposition kinetics analysis of pollutants on the surface of the sensor is carried out, and equipment operation state evaluation data are obtained; and performing spatial layout optimization on the sensor array according to the equipment operation state evaluation data and the gas flow consistency constraint condition to obtain an optimal layout scheme and generate a staged adaptive management control instruction. According to the invention, self-adaptive adjustment and intelligent switching of the sensor management strategy are realized, and the detection performance and reliability of the purification equipment sensor system are significantly improved.

A system and method of calibrating an ADAS sensor of a vehicle by aligning a target with the sensor using a target adjustment stand that includes a base frame and a movable target mount configured to support a target, with the target adjustment stand including one or more actuators for adjusting the position of the target mount. The position of the target mount is adjusted based on the orientation of the vehicle relative to the target adjustment stand. Upon properly orienting the target mount, and the target supported thereon, a calibration routine is performed whereby the sensor is calibrated using the target.

The invention relates to the technical field of sensor calibration, in particular to an automatic sensor calibration method and system and a medium, and the method comprises the following steps: a calibration device sends an initialization instruction to a sensor to be calibrated; synchronously acquiring sensor data and master reference data; aligning timestamps of the acquired sensor data and the master reference data, and then fitting the sensor data and the master reference data; repeating the calibration step in a preset temperature interval, and establishing a temperature-calibration parameter mapping table; and according to the real-time temperature of the sensor, dynamically calling a corresponding compensation parameter from the temperature-calibration parameter mapping table, and writing the compensation parameter into the sensor to realize dynamic temperature compensation.

Techniques are provided for implementing a power sensor calibration process and estimating an auto-correlation matrix for a transceiver with a multi-antenna array. Prior to auto-correlation matrix estimating, the power sensors may be calibrated. A different power sensor may measure the power of the signals received at a corresponding antenna of the multi-antenna array. The signals received at one antenna of each unique pair of antennas may be shifted in phase using a plurality (e.g., three) of different phase settings to generate a plurality of different shifted signals for each unique pair of antennas. Each of one or more power sensors, for each unique pair of antennas, may measure different combined powers based on the shifted signals and the RF signals received at the other antenna of the unique pair. A module may use the different combined powers with the power measured for each antenna to estimate the auto-correlation matrix.

The invention provides a temperature sensor data calibration method and system, and relates to the technical field of sensor calibration, and the method comprises the steps: collecting a time sequence voltage sequence of a to-be-calibrated temperature sensor under the excitation of a temperature step; calculating a gradient change rate of the time sequence voltage sequence to obtain a dynamic response characteristic of the to-be-calibrated temperature sensor; based on the gradient change rate, the dynamic response asymmetry degree of the temperature sensor to be calibrated under temperature step excitation is calculated; establishing a thermal inertia evolution equation of the temperature sensor to be calibrated according to the dynamic response asymmetry degree; the theoretical lag amplitude of the temperature sensor to be calibrated is corrected with the trend of the thermal inertia evolution equation to be stable as the target, and the actual lag amplitude is obtained; obtaining the original measurement temperature of the target temperature by the temperature sensor to be calibrated; and correcting the original measurement temperature in combination with the actual lag amplitude and the dynamic response asymmetry degree to complete data calibration of the temperature sensor to be calibrated. And the measurement precision of the temperature sensor in a complex temperature change scene is improved.

The invention provides a vehicle NVH comfort assessment method and device based on sound and vibration fusion and electronic equipment. The method comprises the following steps: performing in-vehicle interference noise identification processing on window-level data in a candidate window set to obtain a candidate effective window set; calculating a sound and vibration consistency index between the in-vehicle audio signal and the in-vehicle vertical acceleration signal for the window-level data in the candidate effective window set, and screening an external noise dominant window to obtain an effective window set; respectively calculating an acoustic index and a vibration index based on the effective window set, and performing calibration compensation on the acoustic index and the vibration index based on the sensor calibration information; and performing fusion calculation based on the data volume information of the effective window set, the working condition coverage information, the uncertainty information corresponding to the sensor calibration information and the proportion information of the effective window set in the candidate window set to obtain a comprehensive confidence index. According to the method, the evaluation accuracy and stability can be improved, the cross-equipment comparability is enhanced, and the result credibility is improved.

The invention discloses an intelligent calibration method, system and equipment for an ambient air monitoring sensor. The method comprises the following steps: acquiring data of the ambient air monitoring sensor and data of a standard detector in real time and preprocessing the data; performing correlation analysis on the preprocessed data to obtain data in a preset range; performing spatial interpolation calculation and prediction on the data in the preset range to obtain an interpolation estimation value and an air concentration field; re-fitting the air concentration field for the interpolation estimation value to obtain distribution and hour mean value data of the pollutants in the environmental space; performing multi-order linear regression analysis on the obtained hourly mean value data and the hourly mean value data of the sensor to obtain a calibration coefficient; and carrying out calibration calculation by adopting the calibration model to obtain sensor calibration data consistent with the standard detector. The system comprises a module corresponding to the method, and the device comprises a first detection unit, a second detection unit and a processing unit, so that the calibration precision and the calibration efficiency of the sensor can be improved.

The present disclosure relates to sensor calibration systems for sensor-equipped units, such as vehicles. The system includes a multiaxis rotating platform or an assembly of platforms capable of rotation and tilt in one or more axes, comprising yaw, pitch, and roll axes. The system also features a plurality of fiducial targets positioned on and around a rotating platform, with some fiducials rotating with the platform, along with a scene tracking system to monitor and track the fiducial targets and the sensor-equipped unit. In one embodiment, the sensor-equipped unit rotates around a set of fiducial targets, while in another, a set of fiducial targets rotate around the sensor-equipped unit. A controller, coupled to the sensors, platforms, and scene tracking system, receives and processes data from these components. It analyzes the data and determines at least one calibration parameter from the processed data to calibrate one or more sensors.

The utility model provides a particulate matter sensor calibration device and a particulate matter sensor calibration system, the device comprises a positioning cabinet and a plurality of mounting plates, and the positioning cabinet is sequentially provided with a plurality of groups of transverse limiting units along the gravity direction; wherein each group of transverse limiting units comprises two adjacent transverse limiting columns which are positioned at the same horizontal height; and the mounting plates are distributed at intervals in the gravity direction and are in sliding connection with the two transverse limiting columns of the corresponding transverse limiting units correspondingly, and the mounting plates can horizontally slide in the length direction of the transverse limiting columns. During calibration, based on the characteristic that the concentration of an abrupt object slowly settles in the closed calibration cabin, the gas at the position of each layer of sensor can be settled from high concentration to low concentration, and the sensor at the corresponding position detects the gas concentration in the process; therefore, the to-be-calibrated sensor and the reference sensor on the positioning cabinet are ensured to dynamically detect the concentration of the particulate gas in the calibration cabin, and the calibration is more accurate.

Methods and systems for calibrating in-cabin vehicle sensors, such as in-cabin RADAR sensors. In some implementations, the method may comprise detecting a calibration target positioned within a cabin of a vehicle using an in-cabin vehicle sensor. One or more locational parameters of the calibration target relative to the in-cabin vehicle RADAR sensor may then be measured. The in-cabin vehicle sensor may then be calibrated by comparing the detected locational data with predetermined locational data of the calibration target within the vehicle.

A target alignment system for calibrating a safety sensor mounted on a vehicle with front and rear wheels by locating an optimum target position upon a horizontal surface for accurate calibration of the sensor. The target alignment system comprises a plurality of visual guide projectors and a pair of target assemblies which project a visible guide line perimeter around the vehicle, the perimeter including parallel longitudinal lines on either side of the vehicle, a lateral alignment guide line crossing the longitudinal lines in front of the vehicle, and a center guide line colinear with the vehicle center line. The front and rear wheels of the vehicle are longitudinally aligned causing the vehicle thrust line to match the vehicle center line. One of the visual guide projectors projects a transverse line across the center guide line, creating an intersection point which marks the optimum target position.

The invention relates to the technical field of ejector rod type displacement sensor calibration testing, in particular to an ejector rod type displacement sensor calibration device and a measuring method. The device comprises a measured ejector rod displacement sensor, a displacement sensor calibration device and a length measuring machine. The measured ejector rod displacement sensor is connected to the displacement sensor calibration device, the displacement sensor calibration device is connected to the upper surface of the length measuring machine, and the length measuring machine drives the displacement sensor calibration device to move to measure and calibrate the measured ejector rod displacement sensor. According to the measuring range bearing range of the ejector rod displacement sensor to be measured, the calibration requirements of sensors of different specifications can be met; the small-angle pitching and horizontal small-angle adjusting functions are achieved, and the accuracy of the installation angle of the sensor is ensured; according to the invention, tool calibration and measurement data acquisition and processing are integrated, so that the stability of the device is improved, and the calibration reliability is improved; and the data acquisition accuracy of the detected ejector rod displacement sensor is improved.

In various examples, interior sensor calibration for autonomous systems and applications is described herein. Systems and methods are disclosed that may recalibrate sensors of a vehicle, such as sensors located within the interior of the vehicle, using one or more techniques. For instance, if a sensor is attached to a component within the interior of the vehicle, an additional sensor associated with the component may output data indicating the location and / or orientation of the component within the vehicle. The indicated location and / or orientation of the component may then be used to recalibrate the sensor with respect to a reference coordinate system of the vehicle. For a second example, the sensor may output data representing at least a feature located within the interior of the vehicle. The sensor may then again be recalibrated based at least on a portion of the data that represents the feature.

The invention discloses an ultrasonic liquid level measurement system and device.The ultrasonic liquid level measurement system comprises a converter calibration circuit, a transducer calibration circuit, a liquid level measurement control circuit, a transducer, a first contact and a second contact, one end of the first contact is connected with the liquid level measurement control circuit, one end of the second contact is connected with the transducer, and the other end of the second contact is connected with the transducer. The converter calibration circuit excites an echo signal analog signal according to a multi-pulse driving signal of the liquid level measurement control circuit, the transducer calibration circuit carries out blind area calibration and sensitivity compensation based on the current blind area liquid level, when the converter is calibrated, the first contact and the converter calibration circuit are conducted, and the transducer calibration circuit is switched on. The liquid level measurement control circuit is connected with the converter calibration circuit through a first contact; when the transducer is calibrated, the second contact and the transducer calibration circuit are conducted, and the liquid level measurement control circuit is connected with the transducer calibration circuit through the second contact. The converter calibration circuit and the transducer calibration circuit are used for calibration, and the problems of liquid level measurement deviation and failure are solved.

The invention relates to a multimode positioning work card system integrating a speed sensor and Beidou positioning and a method thereof. The system comprises a Beidou positioning module, an IMU (Inertial Measurement Unit) and a data processing module, and can dynamically fuse Beidou and IMU data and output an accurate positioning result. And the data processing module integrates a sensor calibration unit, a self-adaptive Kalman filter and a map auxiliary correction unit, and performs IMU error calibration, signal fusion and trajectory correction. The system dynamically adjusts the trust weight according to the Beidou signal quality through adaptive Kalman filtering, IMU dead reckoning is started when the signal is interrupted, a stride frequency detection and other motion constraint models are introduced, and the positioning error is remarkably reduced. In addition, the map auxiliary correction function corrects the IMU reckoning trajectory through preset geo-fence data, and the problem of positioning drift of a traditional system in a complex environment is solved.

A sensor calibration system includes a gas sensor configured to measure a thermal conductivity of a target gas. The gas sensor includes a reference chamber containing a reference gas, a measurement chamber containing a measurement gas, and a calibration circuit. The reference gas has a first thermal conductivity profile and the measurement gas has a, different, second thermal conductivity profile that are dependent on a first environmental stimulus and a second environmental stimulus. The calibration circuit is configured to, while the first environmental stimulus is varied and the second environmental stimulus is fixed, acquire a plurality of measurements. Each measurement of the plurality of measurements is representative of a difference in thermal conductivity between thermal conductivities of the reference gas and the measurement gas. The calibration circuit is configured to determine a target gas sensitivity of the gas sensor to the target gas based on the plurality of measurements.

The invention provides a linear displacement sensor performance testing tool. The linear displacement sensor performance testing tool comprises a base, a sample carrying table, a linear driving assembly, a clamping jaw assembly and a grating measuring assembly. The sample carrying table, the linear driving assembly and the grating measuring assembly are all installed on the base. During testing, the linear displacement sensor is arranged on the sample carrying table, so that the stability of the linear displacement sensor in the testing process is ensured. The linear driving assembly comprises a sliding table, and the sliding table can move in the working linear direction of the line displacement sensor. The clamping jaw assembly is installed on the sliding table, and the clamping jaw assembly can be connected to the movable measuring end of the linear displacement sensor in a clamping mode. Along with the movement of the sliding table, the clamping jaw assembly synchronously drives the movable measuring end of the linear displacement sensor to move on the body of the linear displacement sensor. By comparing a measurement value of the grating measurement assembly with a numerical value read from the linear displacement sensor, key performance parameters such as accuracy, linearity and repeatability of the linear displacement sensor can be evaluated, and data support is provided for subsequent troubleshooting and sensor calibration.

The invention discloses a vibration transmission structure of a high-temperature vibration sensor calibration device, which comprises a vibration transmission structure body and a transverse auxiliary mechanism, and is characterized in that the vibration transmission structure body is divided into a transmission structure upper section and a transmission structure lower section, the transmission structure upper section is a cylindrical metal structure, and the transmission structure lower section is a cylindrical ceramic structure; a plurality of threaded holes are formed in the upper end face of the upper transmission structure section and used for being in rigid connection with a calibrated vibration sensor, a plurality of threaded holes are formed in the lower end face of the upper transmission structure section and used for being in rigid connection with the lower transmission structure section, and a plurality of through holes are formed in the lower transmission structure section. The transmission structure lower section is used for being rigidly connected with a vibration table of the high-temperature vibration sensor calibration device and the transmission structure upper section, and a threaded hole is formed in the center of the lower end face of the transmission structure lower section and used for installing a standard sensor back to back. According to the invention, the acceleration amplitude uniformity under the vibration temperature composite stress condition can be improved, and the test calibration precision of the high-temperature vibration sensor is effectively improved.

The invention relates to the technical field of sensor clamping devices for calibration equipment, in particular to a clamping device for calibration of an eddy current displacement sensor, which comprises a frame, a rectangular cavity is arranged in the frame, two clamping plates are symmetrically arranged on the upper side and the lower side of the rectangular cavity, and a manual driving assembly provides power to drive a differential transmission assembly. The differential transmission assembly transmits power to the lead screw driving assembly through the lead screw transmission assembly, and the two clamping plates are driven by the lead screw driving assembly to move oppositely in the rectangular cavity. When one of the two clamping plates is blocked in movement due to displacement to the position in contact with the eddy current displacement sensor, and the other clamping plate is not in contact with the eddy current displacement sensor, the power provided by the manual driving assembly can continuously drive the other clamping plate to move to the position in contact with the eddy current displacement sensor. The invention provides a clamping device capable of clamping eddy current displacement sensors of different manufacturers, different specifications and different surface conditions.

The embodiment of the invention relates to the technical field of sensors, and provides a temperature sensor calibration method, device, system and equipment and a storage medium, the method is applied to the calibration equipment, the calibration equipment is connected with a probe station, a wafer of a first temperature sensor is placed on a wafer tray of the probe station, and the wafer tray is provided with a second temperature sensor; a plurality of unpackaged chips are arranged on the wafer; the probe station is used for providing a test environment for the wafer; the method comprises the steps that first temperature information and second temperature information are acquired, the first temperature information is used for indicating the temperature of a test environment measured by a plurality of target chips in a plurality of chips, and the second temperature information is used for indicating the temperature of the test environment measured by a second temperature sensor; the calibration information is determined according to the first temperature information and the second temperature information, and the calibration information is written into the corresponding target chip, so that the plurality of chips of the wafer of the temperature sensor can be calibrated at the same time, the temperature calibration efficiency is improved, and the calibration time is shortened.

An example computing device includes: a three-dimensional (3D) sensor configured to capture point cloud data from a field of view; an auxiliary sensor configured to capture a reference depth measurement corresponding to a surface within the field of view; a processor interconnected with the 3D sensor and the auxiliary sensor, the processor configured to: control the 3D sensor and the auxiliary sensor to capture the point cloud data and the reference depth measurement; select a region of the point could data including a position of the reference depth measurement; determine a representative depth value of the region of the point cloud data to compare to the reference depth measurement; determine whether the representative depth value is within a similarity threshold to the reference depth measurement; and determine, based on whether the representative depth value is within the similarity threshold to the reference depth measurement, whether to use the point cloud data for a dimensioning operation.

Systems and methods are provided that address the need to frequently calibrate analyte sensors, according to implementation. In more detail, systems and methods provide a preconnected analyte sensor system that physically combines an analyte sensor to measurement electronics during the manufacturing phase of the sensor and in some cases in subsequent life phases of the sensor, so as to allow an improved recognition of sensor environment over time to improve subsequent calibration of the sensor.

The invention provides an automatic sensor calibration management system and method based on data visualization, relates to the field of sensor calibration, and adopts a data analysis technology based on artificial intelligence to extract deep implicit features from temperature time sequence deviation data. The method comprises the following steps: firstly, generating a precise small-amplitude adjustment suggestion in combination with semantic coding characteristics of the calibrated temperature sensor, visually displaying the suggestion on a display screen, and finally, automatically calibrating the calibrated temperature sensor based on the calibration adjustment suggestion and a mechanical arm, similarly, referring to a calibration mode of the temperature sensor, and automatically calibrating the calibrated temperature sensor. And the humidity sensor and the pressure sensor are automatically calibrated. Therefore, the calibration efficiency and the intelligent level of the sensor can be effectively improved.

The invention relates to a high-accuracy clamping and positioning mechanism for calibration of a multidimensional force sensor, which comprises a tested sensor mounting disc, a hydraulic expansion sleeve, a wedge-shaped centering block, a lower mounting base and a lifting mechanism, the lifting mechanism can move in the Z-axis direction, the lower mounting base is arranged at the top of the lifting mechanism, a mounting hole is formed in the lifting mechanism along the Z-axis direction, and the wedge-shaped centering block is arranged in the mounting hole. The hydraulic expansion sleeve is arranged in an installation hole of the lower installation base and applies pressure in the direction perpendicular to the Z axis, the wedge-shaped centering block is arranged on the top of the lower installation base and is in close fit with the top of the lower installation base, the tested sensor installation disc is arranged in the installation hole of the lower installation base, and the top of the tested sensor installation disc extends to form a positioning rod. The axial length direction of the positioning rod is the same as the lifting direction of the lifting mechanism, the positioning rod is provided with an external thread and a threaded hole matched with the small sensor, the positioning column is in threaded connection with the small sensor, it is avoided that a positioning hole is formed in the small sensor, and positioning of the hole-free small sensor in the multi-dimensional direction is completed.

The invention provides a sensor calibration communication method based on a sensor power supply line. The method comprises the steps that S1, calibration equipment modulates an instruction signal to be issued to a sensor into a voltage change signal and couples the voltage change signal to the power supply line of the sensor; s2, a sensor receives the voltage change signal from the power supply line and demodulates the voltage change signal to demodulate the instruction signal; and S3, after the sensor receives the instruction signal, the instruction signal is processed, and a corresponding instruction reply is transmitted back to the calibration equipment. According to the method, sensor communication is realized based on the power supply line of the sensor, an instruction from a calibration device is modulated into a voltage change signal and coupled to the power supply line of the sensor, and an instruction reply is modulated into a current change signal of a power supply loop, so that the anti-interference performance of the communication method is enhanced, and the cost is reduced. The invention further provides a sensor and a sensor assembly comprising the sensor.

The utility model discloses a stay wire displacement sensor calibration device, which comprises a calibration seat, a calibration assembly, a sensing assembly, a controller, a lifting platform and a clamping assembly, and is characterized in that the calibration assembly is fixedly mounted at one end of the calibration seat, and the sensing assembly is fixedly mounted in the calibration seat. The power motor is started, the rotation of the power motor drives the bevel gear set to rotate, the rotation of the bevel gear set drives the threaded rod to rotate, the threaded rod drives the displacement seat to move along the sliding seat, the displacement seat drives the extension plate to move, the extension plate moves to drive the permanent magnet to move, and the magnetic field of the permanent magnet cuts the induction coil. The induction coil induces the position of the permanent magnet, the position of the permanent magnet is the length of the pulled-out wire pulling head of the wire pulling displacement sensor, the numerical value of the length is displayed on the display screen of the controller, and the position of the permanent magnet is inducted through the induction coil, so that the length of the pulled-out wire pulling head of the wire pulling displacement sensor can be accurately detected.