305 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.

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 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 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.

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.

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.

The invention relates to a buoy observation data automatic comparison and maintenance method, which comprises the following steps: fusing buoy real-time position data and ocean current prediction data according to an ocean current change trend, and calculating a buoy position deviation value; if the position deviation value exceeds a preset threshold value, high-precision real-time position data are obtained through sensor calibration, and thrust control parameters are generated through an optimization algorithm; obtaining buoy state data through structural integrity detection, adjusting the position of the buoy to a target area based on the thrust control parameters, and judging whether the position deviation meets the requirement or not; energy consumption data of the propulsion device are obtained, an energy consumption curve is extracted from a pre-established energy consumption model, and an optimization algorithm is adopted to generate energy consumption parameters; adjusting the working mode of the propulsion device according to the energy consumption parameter, and judging whether the residual capacity of the battery meets operation requirements; and if the battery capacity is lower than the preset threshold value, switching to a low-power-consumption mode, and adjusting the data acquisition frequency of the sensor by adopting a machine learning algorithm to obtain a data acquisition scheme.

The present invention relates to: a method for automatically calibrating sensors assembled in a robot while the robot capable of moving to a target location along a target path within an area having moving and / or stationary obstacles therein is operating in the field; and a robot capable of realizing same. The present invention provides the robot sensor calibration method comprising the steps of: detecting a reference object through a plurality of sensors of a robot operating along a path according to regional path planning; and by using a location of the reference object detected by a specific sensor among the plurality of sensors, modifying a sensor posture parameter value for each of remaining one or more sensors among the plurality of sensors.

The invention discloses an attitude sensor calibration method and device, electronic equipment and a storage medium. The method comprises the following steps: in response to triggering of an attitude sensor calibration event, when the electronic equipment is in a static state, acquiring first attitude data detected by an attitude sensor in the electronic equipment, and determining a first sampling number of the first attitude data in real time; wherein the attitude sensor comprises a gyroscope; when it is detected that the electronic equipment is switched from the static state to the motion state, if the first sampling number is larger than a first preset sampling number threshold value, the static deviation of the attitude sensor is calculated according to the first sampling number of first attitude data; and calibrating second attitude data detected by the attitude sensor when the electronic equipment is in the motion state based on the static deviation. According to the scheme, the attitude data detected by the gyroscope in the electronic equipment in the motion state can be accurately calibrated, and the error of the attitude data detected by the attitude sensor is reduced.

The invention relates to the technical field of MEMS sensor calibration, and discloses a humidity drift correction method and system of an MEMS sensor. The method comprises the steps of tracking and identifying an external humidity source, extracting features of the external humidity source, and establishing a time-varying model to predict a humidity drift value; meanwhile, the internal running state of the sensor is monitored to obtain internal characteristic parameters. And fusing the predicted value with the internal parameter, constructing a drift influence quantity and generating an initial compensation quantity. And then, a sensor output feedback sequence is introduced to carry out dynamic iterative optimization on the initial compensation amount, an optimized drift compensation control sequence is generated, and finally the drift compensation control sequence acts on sensor output to complete correction. According to the method, through feature fusion modeling of the external environment and the internal state and a closed-loop dynamic optimization mechanism based on output feedback, the humidity drift correction precision and the adaptive capacity to the time-varying environment are improved.

The invention relates to the technical field of micro electro mechanical system (MEMS) force sensor calibration, and discloses a multi-dimensional force sensor with a self-calibration function and a self-calibration method thereof, and the multi-dimensional force sensor comprises a sensor body, a loading column, a calibration force loading detection device and a housing. The sensor body is connected with the loading stand column, and the loading stand column extends out of the shell; the sensor body and the calibration force loading detection device are fixed on the inner wall of the shell, the calibration force loading detection device is arranged on one side of the loading stand column, a gap is reserved between the calibration force loading detection device and the loading stand column, and the calibration force loading detection device is used for applying calibration force when contact begins; the calibration force loading detection device comprises an electric heating driving device and a piezoresistive force detection part arranged on the electric heating driving device, and the piezoresistive force detection part begins to be in contact with the loading stand column when being driven by the electric heating driving device. The internal structure of the device does not interfere with each other, the structural size is small, the calibration of the sensor can be completed without disassembly, and the measurement precision and the system reliability of the multi-dimensional force sensor are improved.

The invention relates to the technical field of connector detection, in particular to an automobile connector contact impedance detection method and system. The method comprises the following steps: acquiring a plugging operation signal and charging current data of the automobile connector in a charging process; acquiring sampling data of all sensors connected with the automobile connector by using a stable delay acquisition unit based on the plugging operation signal; comparing each sampling data with a preset historical reference value to obtain each drift sampling comparison value; based on the charging current data, each drift sampling comparison value and a sampling drift threshold value corresponding to each drift sampling comparison value, obtaining a measurement reference value after calibration of each sensor; and detecting the contact impedance of the automobile connector based on each measurement reference value to obtain a detection result of the contact impedance. The objective of the invention is to solve the problems in the prior art that measurement errors and real degradation signals cannot be accurately distinguished, and charging safety of an electric vehicle and reliable operation of a connector are difficult to guarantee.

The invention provides a six-dimensional force / torque sensor calibration device and a calibration method thereof. The six-dimensional force / torque sensor calibration device comprises a fixed base; the upper mounting plate is movably arranged on the fixed base, the height of the upper mounting plate can be adjusted relative to the fixed base, and the upper mounting plate is used for fixing a fixed surface of a calibrated sensor; the upper surface of the lower mounting plate is attached to the execution surface of the calibrated sensor, and the lower mounting plate is fixedly connected with the calibrated sensor; the six-dimensional loading plate is fixedly connected with the lower mounting plate, and the lower mounting plate is located in the middle of the six-dimensional loading plate; the number of the push-pull rods is multiple, and one end of each push-pull rod is hinged to the six-dimensional loading plate; according to the invention, automatic loading and unloading of the three-dimensional force and the three-dimensional torque under the unidirection or multi-direction combined action can be realized, the calibration process can be continuously executed, manual intervention is not needed, the labor intensity of operators is greatly reduced, and the stability and repeatability of calibration are improved at the same time.

A calibration apparatus includes a processor configured to calibrate a first pH sensor measuring a pH of an aqueous solution, calibrate a second pH sensor different from the first pH sensor, and manage the first pH sensor and the second pH sensor so as to enable calibrations thereof in parallel, when the first pH sensor and the second pH sensor are both immersed in a pH standard solution indicating a predetermined pH.

An image capable of visually confirming whether or not a coordinate transformation matrix calculated in sensor calibration is correct is generated and displayed. A calibration execution unit that executes calibration of a sensor, and a display information generation unit that generates image data capable of confirming whether or not calibration processing in the calibration execution unit has succeeded are included. The calibration execution unit calculates a coordinate transformation for transforming a sensor coordinate system corresponding to the sensor into another second coordinate system, and the display information generation unit generates and displays image data capable of visually confirming whether or not the calculated coordinate transformation matrix is a correct coordinate transformation matrix, for example, image data in which an origin and coordinate axes constituting the sensor coordinate system are displayed in a superimposed manner on a three-dimensional image of the sensor.

The invention provides a calibration jig and a calibration method of a deviation rectifying sensor, the calibration jig comprises a first calibration platform, a second calibration platform, a shielding piece and a driving assembly, the first calibration platform is used for installing an emitter, the second calibration platform is arranged corresponding to the first calibration platform and is used for installing a receiver, and the shielding piece is arranged on the first calibration platform. The shielding piece is arranged between the first calibration platform and the second calibration platform, and the driving assembly drives the shielding piece to move in the first direction so that the shielding piece can simulate material deviation to shield light spots emitted by the emitter. According to the correction jig of the deviation correction sensor, the technical problem that in the prior art, a correction sensor correction scheme is insufficient in compatibility is solved.

The utility model provides a sensor calibration device for a high-voltage switch tester. The sensor calibration device comprises a base, a synchronous conveyor, a linear grating sensor and an annular grating sensor, a shading shell is arranged on the base, and the shading shell is provided with a first shading cavity and a second shading cavity; the synchronous conveyor is horizontally arranged in the first shading cavity and is connected with a traction seat, one end of one wheel shaft of the synchronous conveyor penetrates into the second shading cavity and is connected with a first detection disc, and the other end of the wheel shaft is connected with a second detection disc; the linear grating sensor is arranged in the first shading cavity to detect the linear displacement of the traction seat; the annular grating sensor is arranged in the second shading cavity to detect the rotation angle of the first detection disc. According to the sensor calibration calibrating device of the high-voltage switch tester, the linear grating sensor and the annular grating sensor can obtain calibration data at the same time, the calibration efficiency of the sensor of the high-voltage switch tester can be improved, and the calibration precision can also be improved.

This invention provides a static weight-based multi-dimensional force sensor calibration device, comprising: a worktable, a force reversing mechanism, a rotating platform, a loading disk, and a loading assembly; the rotation center of the rotating platform is perpendicular to the rotation center of the force reversing mechanism; a turntable is fixed to the rotating platform, and a multi-component force sensor to be calibrated is fixed to the turntable; the loading disk is fixed to the top of the multi-component force sensor to be calibrated, and a loading connector is provided on the loading disk; a pulley assembly is provided on the top of the worktable; when calibrating the force of the multi-component force sensor to be calibrated, the line connecting the pulley assembly and the loading connector is on the central axis of the worktable; when calibrating the torque of the multi-component force sensor to be calibrated, the line connecting the pulley assembly and the loading connector is parallel to the central axis of the worktable. This device optimizes the force loading method, changing from loading each component separately to loading the resultant force through a single rope, avoiding mechanical interference during multi-dimensional loading, achieving high repeatability of force loading, and improving the accuracy and reliability of calibration results.

The utility model discloses a differential pressure transducer calibration tool, which comprises a base, a mounting strip and a connecting plate, the base is provided with a mounting groove, the mounting groove is provided with a support leg hole for the penetration of a support leg of a differential pressure transducer, the two ends of the base are respectively provided with a support lug, and the support lug is provided with a support lug hole; the mounting strip is provided with a positioning column used for positioning the differential pressure sensor, flanges are arranged at the two ends of the mounting strip, and flange holes are formed in the flanges; and the base is connected with the mounting strip through the connecting plate. The base is used for installing the supporting legs of the differential pressure sensor, the installation strips are used for positioning the differential pressure sensor, pins of the sensor cannot be pressed, installation is convenient, efficiency is high, and the rate of unqualified products caused by detection is reduced.