128 results about "Transducer calibration" patented technology

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.

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 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.

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.

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

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.

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.

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.

The utility model relates to an environment-friendly portable water quality detector in the field of water quality detection, which comprises a shell, an electrode interface, a display screen, a main control board, a battery and a control key, the upper end of the shell is provided with two electrode interfaces, one electrode interface is a composite electrode interface, the other electrode interface is a single electrode interface, the composite electrode interface is connected with a composite electrode, and the single electrode interface is connected with a single electrode; detection of a plurality of sensors is carried out through the two electrode interfaces; the composite electrode interface is provided with a multifunctional adapter, so that setting of various sensors is completed, the functions of automatic identification of various types of sensors, reading and storage of measured data, sensor calibration and the like can be set through the multifunctional adapter, and detection of various test indexes is completed.

An automated resistive displacement sensor calibration system and method based on the RS232 ASCII protocol is disclosed. The system includes a host computer control and processing unit, a servo drive and motion execution unit, a sensor clamping unit, and a high-precision data acquisition unit. This invention addresses the technical problem in existing automated calibration systems where there is a millisecond-level asynchronous delay between the completion of displacement command execution and voltage acquisition, leading to the acquisition of voltage before the motor's micro-vibrations have stabilized, thus degrading hysteresis error and repeatability. The invention proposes a synchronous acquisition mechanism based on servo driver position feedback hard triggering. The host computer control and processing unit controls the motor movement via RS232 ASCII commands and strictly waits for the servo driver to return a "position" feedback signal before triggering the high-precision data acquisition unit to acquire the output voltage of the resistive displacement sensor. This achieves physical-level synchronization between displacement stabilization and voltage acquisition, significantly improving hysteresis error and repeatability, and meeting the 0.05% level calibration requirements of precision metrology.

The invention discloses a high-temperature and vibration coupled soft sealing structure, which is used for a high-temperature vibration sensor calibration device and comprises a base, an outer corrugated pipe, an inner thermal radiation shielding layer and a fixed mounting block, the corrugated pipe and the thermal radiation shielding layer are of symmetrical cylindrical hollow metal structures, and the thermal radiation shielding layer is arranged on the inner side of the corrugated pipe. The fixed mounting block is a cylindrical metal mounting block, the base is of a symmetrical cylindrical hollow metal structure, the upper end of the corrugated pipe and the upper end of the heat radiation shielding layer are connected with the fixed mounting block, the lower end of the corrugated pipe is welded and fixed to the base, and a plurality of through holes are formed in the fixed mounting block and the base respectively. The connecting piece is fixedly connected with the high-temperature vibration sensor calibration device through a screw; the corrugated pipe, the base and the fixed mounting block are made of high-temperature-resistant metal materials, the corrugated pipe is formed by welding thin metal plates in a corrugated shape, and the inner thermal radiation shielding layer is made of thermal radiation prevention metal materials. According to the invention, heat leakage can be reduced, the uniformity of a temperature field is improved, and the calibration precision is improved.

The invention belongs to the technical field of intelligent traffic, and particularly relates to an unmanned vehicle fault detection system which comprises a calibration detection module, an information analysis module, an abnormity judgment module, a fault alarm module and a redundancy guarantee module. The calibration detection module collects environmental parameters and calibration parameters and sends the environmental parameters and the calibration parameters to the information analysis module, the information analysis module analyzes data and calculates calibration detection coefficients, the abnormity judgment module compares the coefficients with a fault threshold value and then sends a result to the fault alarm module, and the fault alarm module executes vehicle operation and remote notification. The redundancy guarantee module guarantees operation under extreme working conditions. The extreme environment can be monitored in real time, sensor calibration can be triggered, the blank of calibration detection after the extreme environment is filled up, and hidden problems such as parameter drift are solved; redundancy guarantee and fault alarm are linked, the stability of the system is ensured, the running safety of the vehicle in a complex environment is improved, and the probability of safety accidents is reduced.

A sensor calibration system (5) for watercraft (1), comprising: a primary environment sensor (7A, 8A) configured to detect an external object including a first or second region of the watercraft and a distance to the external object, and mounted to a part of the watercraft; and a processor (11) for processing an output of the primary environment sensor, wherein the processor is configured to identify a bow (1a) of the watercraft from the output of the primary environment sensor, and calibrate a position and an orientation of the primary environment sensor relative to the bow.

This invention discloses a method and system for optimizing data transmission throughout the entire lithium battery separator production process, specifically relating to the field of data transmission technology. It involves collecting sensor data from the entire lithium battery separator production process using a sensor array, extracting actual process parameters from the sensor data, comparing these actual process parameters with preset process parameters, and outputting abnormal data. Based on the spatiotemporal topology of the sensors, it calculates the spatial-temporal-functional coupling weights between abnormal data, constructs a structural coupling matrix, identifies error cluster candidates, and extracts their spatiotemporal distribution characteristics and abnormal combination patterns. A preset rule engine is used to structurally classify the error cluster candidates and output a deviation report. Based on the deviation report, it outputs sensor calibration instructions and process fine-tuning instructions, solving the problems of difficult-to-accurate identification of deviation sources, untimely transmission of key abnormal data, and high false alarm rates.

The application discloses a kind of capacitive displacement sensor calibration device and method, belong to metrological testing technical field, comprising: host computer is started linear displacement table by controller module and carries out the linear motion required in calibration work, multiple degrees of freedom error and displacement value generated by linear motion are measured simultaneously using optical measurement module, and are transmitted to host computer by data acquisition module, host computer is adjusted by controller module and is located in the multiple degrees of freedom microstage pose of linear displacement table bottom to compensate multiple degrees of freedom error in linear motion, realizes to capacitive displacement sensor calibration.The application effectively breaks through the bottleneck that traditional capacitive displacement sensor calibration technique precision is limited, measurement and compensation function are integrated, eliminate multiple degrees of freedom error coupling influence, can satisfy the calibration demand of high-precision capacitive displacement sensor.

The invention relates to the technical field of high-voltage direct-current power transmission equipment monitoring, and discloses a high-voltage direct-current converter valve cooling system liquid level sensor anti-vibration structure design method which comprises the steps that an integrated sensing assembly is assembled, a tungsten steel balancing weight of 40-60 g is welded to the bottom of a capacitive sensitive probe, and the first-order inherent frequency is made to be smaller than or equal to 10 Hz; overall assembling and fixing are conducted, a multi-stage damping assembly composed of a first-stage rigid damping ring, a second-stage flexible damping pad and a third-stage air damping cavity filled with porous foamed aluminum is installed, and radial rigid positioning smaller than or equal to 0.1 mm is achieved by applying torque of 4-6 N.m through a wedge-shaped locking block; and sensor calibration: carrying out vibration condition calibration under vibration excitation of 20Hz / 5g, 200Hz / 3g and 400Hz / 2g. Through the synergistic effect of low-frequency vibration isolation, multi-stage damping and rigid positioning, resonance is avoided, probe swing is restrained, and the measurement accuracy under the strong vibration working condition is ensured.

An autonomous vehicle can include a perception sensor and one or more processors. The processors can be configured to automatically control the autonomous vehicle to an energy supply station to resupply the autonomous vehicle; detect an arrival of the autonomous vehicle at the energy supply station; detect a calibration target; collect data from the perception sensor corresponding with the calibration target; and calibrate the perception sensor based on the collected data.

The objective is to provide a sensor calibration device, sensor calibration system, sensor calibration method, and sensor calibration program that can calibrate water quality sensors in water treatment systems at low cost, automatically or autonomously. [Solution] The control device 100, which serves as a sensor calibration device, is equipped with a processor. The processor sends a second treated water source downstream of the first treated water source that the water quality sensor detects to a first water quality sensor 161, which serves as a water quality sensor for detecting the water quality of the treated water of the water treatment system 20. The processor then uses the second treated water source to calibrate the water quality sensor.

This invention provides a high-temperature vibration sensor calibration and measurement device and method. The device includes: a cavity, a vibration device, a first heating module, a signal acquisition module for the test signal, a signal module for absolute calibration and / or a signal module for comparison calibration, and a processor. The first heating module includes a base with a mounting position for mounting the vibration sensor under test, a first heating element, a first temperature sensor, and a first temperature control component. The first heating element is positioned below the mounting position and is in direct contact with the vibration sensor under test or indirectly in contact with it through the base, for heating the vibration sensor under test from its bottom. This effectively simulates the actual working environment of the sensor mounted on a surface heat source, improving the calibration accuracy of the sensor. Furthermore, by introducing inter-solid heat conduction, the heating rate and efficiency are significantly improved.

The present application relates to the technical field of sensor calibration, and in particular to a tilt angle sensor calibration device, a calibration system and a calibration method. The tilt angle sensor calibration device comprises a first mounting plate, a first adjusting part, a second adjusting part and a second mounting plate. The first mounting plate is mounted on a mounting surface. The first adjusting part is used to adjust the angle of the first mounting plate in a first direction. The second adjusting part is used to adjust the angle of the second mounting plate in a second direction. The present application provides a tilt angle sensor calibration device, a calibration system and a calibration method, which facilitate the quick installation and calibration of the tilt angle sensor, and solve the problem that the tilt angle sensor cannot truly reflect the ideal position angle of the measured support in the process of installing the tilt angle sensor on site in the hydraulic support and other equipment due to the installation position, installation environment and mechanical tolerance of the mounting surface.

The utility model relates to the technical field of sensor calibration, and discloses a testboard device for sensor calibration, which solves the problem that a sensor cannot be calibrated at different positions at present, and comprises a workbench, an adjusting mechanism is arranged at the top of the workbench, a supporting mechanism is arranged on the adjusting mechanism, and the supporting mechanism is arranged on the workbench. The adjusting mechanism comprises a supporting shaft rotationally connected to the top of the workbench, a containing table is fixedly connected to the top end of the supporting shaft, a bottom cylinder is fixedly connected to the bottom of the containing table and fixedly connected to the outer side of the supporting shaft in a sleeving mode, two L-shaped round rods are symmetrically and fixedly connected between the bottom of the bottom cylinder and the supporting shaft, and a driving ring is movably connected between the two L-shaped round rods in a sleeving mode. Two connecting columns are symmetrically and fixedly connected to the bottom of the driving ring, and a bottom ring is fixedly connected between the bottom ends of the two connecting columns; according to the utility model, the supporting shaft and the fixing ring can be fixed, and the fixation of the sensor after rotation can be realized, so that the position of the sensor can be conveniently adjusted.

The present application relates to the technical field of sensor calibration, and discloses a vehicle-mounted tire pressure sensor self-calibration and dynamic matching method and system.The method comprises the following steps: sending an extended diagnostic service request frame to an electronic control unit through a VCI device to read a reference pressure value and a sensor ID list; selecting a target sensor ID based on the sensor ID list, transmitting a wake-up data frame containing the target sensor ID through the VCI device to activate the original sensor on the target tire, and receiving the working state data returned by the original sensor; determining the network connection state according to the vehicle identification code, obtaining the calibration parameters from the cloud server in the online mode, and reading the calibration parameters from the local storage path in the offline mode; writing the calibration parameters into the new sensor, calculating the calibration pressure value of the new sensor based on the reference pressure value and the working state data, and updating the new sensor.The present application reduces the maintenance cost and simplifies the operation process.

The invention provides an electric calibration device for broadband sensor calibration, which is applied to the technical field of sensor calibration, and comprises a lower support mechanism, an upper support mechanism, a vibration mechanism, an inner gap mechanism and an outer gap mechanism, and the vibration mechanism is used for installing an acceleration sensor and realizing broadband vibration through electromagnetic driving; the upper supporting mechanism is matched with an electromagnetic ring through a flexible diaphragm, so that flexible connection and centered positioning of the vibration mechanism are realized; the inner gap mechanism and the outer gap mechanism form an air film through air pressure, the horizontal gap is controlled, and circumferential rotation is restrained. The conical ring of the lower supporting mechanism is combined with the Bernoulli principle to achieve active heat dissipation. Through the synergistic effect of electromagnetic driving, air pressure gap control and active heat dissipation, horizontal deviation and circumferential rotation of the vibration mechanism are avoided, the vibration mechanism is adaptive to different weight sensors, the heat dissipation efficiency is high, the electromagnetic interference is small, the precision and stability of broadband calibration of the acceleration sensor are remarkably improved, and the vibration mechanism is suitable for multi-scene calibration requirements.

The present disclosure provides a system and method for vehicle sensor calibration in a vehicle assembly environment. In one embodiment, a method includes receiving detection data and inertial measurement unit (IMU) data from a vehicle as the vehicle traverses a test lane, where the detection data corresponds to lidar detection, camera detection, and radar detection by one or more sensors of the vehicle, and the IMU data corresponds to a determination of one or more motion constraints from one or more sensors and an IMU and a determination of one or more constraints between the IMU and the vehicle. A plurality of targets are arranged relative to the test lane and have a plurality of calibration elements configured to allow one or more sensors of the vehicle to detect. The method also includes processing the received detection data and IMU data using a calibration algorithm, and generating one or more calibration parameters for one or more sensors of the vehicle based on the processing.

The present disclosure describes a method for calibrating a magnetic sensor of a client device. The method may include receiving a set of magnetic field measurements, each magnetic field measurement in the set of magnetic field measurements including a device location, an orientation of a client device, and an observed magnetic field vector measured by the magnetic sensor. The method may include calculating a device correction vector for the client device based on the set of magnetic field measurements. For each magnetic field measurement, the method includes determining a world magnetic field vector at a device location of the magnetic field measurement, calculating an expected measured magnetic field vector at the device location, accessing an estimated device correction vector for the client device, calculating an expected adjustment vector for the client device, and determining a global magnetic field vector at the device location. An observed magnetic field vector associated with the magnetic field measurement and an expected adjustment vector are compared, and a device correction vector is calculated based on the comparison.