206 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 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 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 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 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 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 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.

Medical devices and related systems and methods are provided. A method of controlling medication delivery based on sensor input involves obtaining a measurement parameter representing an electrical response of a first instance of a sensing element to a physiological condition of a person. The measurement parameter is converted into a calibrated measurement parameter using calibration data specific to the first instance of the sensing element. The method further involves determining a measurement value using the calibrated measurement parameter as input to a performance model. The performance model is derived from historical calibrated measurement parameters and corresponding reference values. The historical calibrated measurement parameters are from other instances of the sensing element. A command is then determined based on the measurement value and sent to a medical device. The command causes the medical device to deliver a dose of medication influencing the physiological condition of the person.

An intelligent heat pump system autonomously manages thermal regulation in heating and cooling modes using real-time sensor data and adaptive control algorithms. The system comprises a heat pump integrated with components including a supply valve, regulating valve, return valve, and compressor expander, along with multiple sensors configured to monitor temperature and pressure conditions at various points, including the reservoir, cold side, and hot side. A removable memory stores a directive file containing operational parameters, including target temperatures, valve timing, and pressure control data. A control unit with a processor executes firmware modules that include sensor calibration routines, motor and valve control logic, and an adaptive algorithm that continuously compares real-time sensor input against target parameters. Based on deviations, the system dynamically adjusts component operations to regulate refrigerant flow, internal energy, temperature, and pressure, thereby driving the system toward a steady-state thermal condition.

TITLE: Calibration Target for Optical Sensor This disclosure relates to a calibration target (1) comprising a face (10) having a first zone (11) and a second zone (12), the first zone (11) being defined by a pattern configured to be detectable by a camera (2), the first zone having a reflectivity factor of at least 94% for which at least 90% of the reflection is diffuse, the second zone having an emissivity factor of at least 50% for an emission wavelength range between 2 and 12 µm. Figure 1

A method for optional external calibration of a calibration-free glucose sensor uses values of measured working electrode current (Isig) and EIS data to calculate a final sensor glucose (SG) value. Counter electrode voltage (Vcntr) may also be used as an input. Raw Isig and Vcntr values may be preprocessed, and low-pass filtering, averaging, and / or feature generation may be applied. SG values may be generated using one or more models for predicting SG calculations. When an external blood glucose (BG) value is available, the BG value may also be used in calculating the SG values. A SG variance estimate may be calculated for each predicted SG value and modulated, with the modulated SG values then fused to generate a fused SG. A Kalman filter, as well as error detection logic, may be applied to the fused SG value to obtain a final SG, which is then displayed to the user.

The utility model relates to the technical field of magnetic sensor calibration, in particular to an automatic calibration device for an underwater magnetic sensor. Comprising a calibration assembly, a mooring rope which is perpendicular to the water surface and transmits the calibration assembly downwards, a control module which controls the calibration assembly to execute a calibration task and a signal processing center which processes an output signal of the calibration assembly, and the calibration assembly comprises a calibration magnetic field generator and a calibration probe which is matched with the calibration magnetic field generator. The driver drives the calibration probe to enter and exit from the magnetic field generator, the driver is electrically connected with the control module, and the calibration assembly is in communication connection with the signal processing center. The problem of in-situ calibration of the underwater magnetic sensor is solved.

A vehicle service system incorporating a pair of gimbal-mounted optical projection systems enables an operator to selectively orient each optical emitter of the optical projection system to illuminate a location on a vehicle surface in proximity to the system. Signals indicative of an orientation of each optical emitter about three-axes of rotation are received at a controller programmed with software instructions to utilize the received signals, together with known locations for the systems, to calculate a three-dimensional coordinate for the illuminated location within an established frame of reference. The controller is further programmed to utilize the calculated three-dimensional coordinate of the illuminated location as an origin point for determining one or more placement locations within the established frame of reference for ADAS sensor calibration or alignment targets.

The utility model belongs to the field of sensor calibration, particularly relates to a meteorological rainfall sensor calibration device, and aims to solve the problem that the efficiency and accuracy of calibration test are reduced due to the fact that rainfall sensors of different models and sizes cannot be stably clamped and quickly mounted and dismounted by an existing device. The top of the water tank fixedly communicates with a barrel, an opening is formed in one side of the barrel, guide frames are fixedly arranged on the two sides of the inner wall, located at the opening, of the barrel, and the same fixing frame is slidably arranged on the sides, close to each other, of the two guide frames; and the clamping assembly is arranged on the fixing frame and is used for clamping the rainfall sensor. According to the utility model, through the arrangement of the clamping assembly, stable clamping and rapid mounting and dismounting of the rainfall sensor are realized, the efficiency and accuracy of calibration testing are improved, the device can adapt to rainfall sensors of different models and sizes, and the practicability and flexibility of the device are enhanced.

The present application relates to the technical field of sensor calibration, in particular to an environment adaptive multi-dimensional calibration method for a digging type intelligent sensor, which collects temperature, humidity and gas data for environment monitoring, compares the data with threshold values to mark abnormal states, evaluates the influence of each parameter on the sensor signal and analyzes the fluctuation amplitude and intensity, screens key factors in combination with the sensor sensitivity and response rate, extracts the fluctuation trend of the factors, optimizes the signal disturbance weight and response path, real-time corrects the signal and updates the calibration parameter set, adjusts the output based on the multi-dimensional parameter monitoring signal value to maintain the stable range. The present application dynamically identifies temperature, humidity and gas abnormalities through threshold comparison, constructs a factor model based on the sensitivity weight, generates a multi-dimensional calibration path, real-time updates the parameter set to decouple environmental mutation and sensor drift, realizes signal adaptive convergence through closed-loop control, reduces multi-parameter interference error, breaks through the calibration delay bottleneck and ensures stable time-varying working condition data.

The utility model relates to the technical field of turbidity sensors, and provides a turbidity sensor calibration tool and a low-range turbidity sensor.The turbidity sensor calibration tool comprises a calibration barrel, a standard liquid bag and a hanging plate, the calibration barrel is suitable for being detachably connected with a detection module of the turbidity sensor, the standard liquid bag is communicated with the calibration barrel through a pipe body, and the hanging plate is arranged on the calibration barrel. The tube body is provided with an on-off unit used for controlling the on-off of a standard liquid flow path on the tube body, the hanging plate is provided with a first fixing position and a second fixing position, when the standard liquid bag is connected to the first fixing position, standard liquid in the standard liquid bag is suitable for flowing to the calibration barrel, and when the standard liquid bag is connected to the second fixing position, the standard liquid in the standard liquid bag is suitable for flowing to the calibration barrel. And the standard liquid in the calibration barrel is suitable for flowing to the standard liquid bag, so that the problems that the standard liquid is easy to splash and the operation is difficult due to the mode that the turbidity standard liquid is injected into the low-range turbidity sensor flow cell to calibrate the low-range turbidity sensor in the existing low-range turbidity sensor can be effectively solved.

A system includes a gas monitor including a gas sensing element, a wireless communication interface, and a sensor calibration including an operability calibration. The system also includes a gas station comprising at least one gas monitor physical interface and a wireless communication interface and a data manager comprising a wireless communication interface and an external communication interface, and configured to implement external communications between a remote device and the gas monitor, and between the remote device and the gas station. At least one of the gas station or the data manager is configured to update the sensor calibration to a monitoring calibration.

This sensor calibration method is for calibrating a target sensor that is attached to a mobile object body (1) of an autonomously moving mobile object (100) and that detects surrounding objects in the form of point-cloud data. The sensor calibration method includes: acquiring a point-cloud map of the surroundings of the mobile object body (1); using the target sensor to detect objects surrounding the mobile object body (1); converting the position of each of the point-cloud data points detected by the target sensor from a sensor coordinate system of the target sensor to a reference coordinate system, thereby obtaining the position of each point-cloud data point in the reference coordinate system; and calibrating the sensor coordinate system so as to reduce the positional deviation between corresponding points between the point-cloud map and the point-cloud data in the reference coordinate system.

In-cabin vehicle sensor calibration targets, such as calibration targets for in-cabin RADAR sensors, along with related methods. In some implementations, the method may comprise temporarily placing a calibration target within the cabin of a vehicle; promoting movement of the calibration target; detecting the calibration target using an in-cabin vehicle RADAR sensor; and calibrating an in-cabin vehicle RADAR sensor using the calibration target.

The present invention relates to an angular position encoder for detecting the respective angle of rotation of a rotational movement of a shaft, a calibration device for generating calibration data for a rotary encoder that detects the angle of rotation of a shaft, and an adjustment device designed for generating and transmitting adjustment data for a rotary encoder.

Methods, apparatus, and systems for calibration of counterpressures using a force sensor and / or estimation of a physiological parameter of a user (such as blood pressure) are disclosed. In some embodiments, a user device may include: a signal source system; a sensor system; an interface portion; a force sensor system, the force sensor system configured to measure an external pressure applied to the interface portion during contact by the user; and a control system configured to: obtain calibration data correlating one or more external pressure values to one or more calibration factor values; determine, using the calibration data, a calibration factor based on the external pressure applied to the interface portion during the contact by the user; and estimate a physiological parameter based on the calibration factor, and one or more physical characteristics of the target object of the user determined based on the signals detected by the sensor system.