19results about "Automatic recalibration" patented technology

The invention relates to the technical field of encoders, and discloses a system and a method for recording and recovering a power failure position of a virtual multi-turn absolute value encoder. The system comprises: a virtual multi-turn absolute value encoder; the nonvolatile storage module is used for storing a multi-circle real-time record and a multi-circle actual numerical value of the recovery algorithm module at each power-off moment; the multi-turn real-time recording and recovery algorithm module comprises an initialization compensation unit and a real-time calculation recording unit, and the initialization compensation unit is used for reading the multi-turn actual numerical value of the multi-turn real-time recording and recovery algorithm module at the last power-off moment from the nonvolatile storage module in the power-on initialization stage and calculating the real-time calculation recording unit according to the multi-turn actual numerical value of the multi-turn real-time recording and recovery algorithm module. The real-time calculating and recording unit is used for calculating a multi-circle actual value at the current moment and a multi-circle position actual value at the current moment according to the multi-circle compensation value; and feeding back the actual value of the multi-circle position at the current moment to the external equipment and recording the actual value of the multi-circle position at the current moment into the nonvolatile storage module.

Aspects are provided for a connected monitoring device for monitoring and reporting measurements. The monitoring device includes a plurality of sockets, each socket configured to receive a smart probe including a memory storing calibration information for the smart probe. The monitoring device includes a touch screen display configured to display a current measurement based on a received input signal from the smart probe and the calibration information. The monitoring device includes a wireless modem configured to periodically transmit one or more measurements to a remote server via a wireless network.

This invention relates to the field of position calibration technology, specifically to a method and apparatus for calibrating a position sensor for a motor. The method involves obtaining the absolute position information of the motor through feedback of a PWM signal; providing an orthogonal signal to the motor; providing an electrical angle of the motor in a first direction; recording a first relative angle fed back by the orthogonal signal; obtaining a first calibration mapping table mapping the first relative angle to the electrical angle based on the mapping relationship between the first relative angle and the electrical angle; and setting the first calibration mapping table as the calibrated mapping table for the position sensor to perform calibration. This invention solves the problems of existing sensor position calibration being easily affected by interference and inaccurate position information by utilizing the lag absolute angle fed back by PWM information to calibrate a relative angle with better real-time performance, thus avoiding missed steps.

The invention relates to a method for operating a sensor (3) in a vehicle (1), wherein vehicle electronics (2) of the vehicle (1) measure at least one parameter of a traffic object (5, 5') different from the vehicle (1) by means of the sensor (3), and output at least one measured value on the basis of a sensor setting, and wherein the vehicle electronics (2) receive at least one data set from at least one traffic object (5, 5') different from the vehicle (1). The vehicle electronics (2) determine or calculate at least one comparison value of the parameter on the basis of the at least one data set, and the sensor setting is calibrated on the basis of the comparison value.

A sensor circuit (620) for measuring physical quantities, comprising: a signal acquisition circuit (640) including sensors (621, 622) for providing input signals (v1, v2) related to the physical quantity; and a processing circuit (650) for receiving the input signals (v1, v2) and providing an output signal (θ) representing the physical quantity. 校正 The processing circuitry includes a closed loop comprising: a first sub-circuit (660) arranged to receive the input signals (v1, v2) and feedback signals (fbi, fbq), and configured to provide a first signal (θ). 估计 ); a frequency correlation filter (632) for receiving and filtering the first signal (θ) 估计 ), and is used to provide the output signal (θ) 校正 ); a second sub-circuit (670), which is used to receive the filtered signal (θ) 校正 ) and use a nonlinear function to filter the signal (θ) 校正 ) are converted into the feedback signals (fbi, fbq).

The invention concerns a method of operating a group of devices (1) on an operating site (3) and of calibrating said devices (1), wherein: each device (1) is a measurement device (1) and calibrations are executed based on time schedules determined based on calibration time intervals (A) determined for each of the devices (1). The method comprises the steps of: during each calibration of each device (1): determining a degree of compliancy of the respective device (1) to a requirement specified for this device (1), based on said degree of compliancy determining a recommended interval (R) for the next calibration of the respective device (1) and determining a ratio (r) of the recommended interval (R) and the calibration time interval (A(tn-1)) currently applied to this device (1), reviewing the calibration time intervals (A) based on said ratios (r) and a predetermined set of ratio ranges (I, II, III) by: for each device (1) performing a procedure predetermined for the ratio range (I, II, III) comprising the ratio (r) determined for the respective device (1) and updating the calibration time interval (A(tn-1)) applied to the respective device (1) based on at least one of: a rule defined for the respective ratio range (I, II,III) and a rule applicable to the respective device (1), and determining the time schedule providing scheduled calibrations times (tS) at which the devices (1) shall be calibrated again based on the updated calibration time intervals (A(tn)) determined for each of the devices (1) and performing the next calibrations of the devices (1) according to the scheduled calibration times (tS).

The present application relates to the technical field of industrial equipment state monitoring, and particularly relates to a kind of equipment state monitoring method and system based on automatic working condition calibration and multidimensional signal analysis, comprising: the present application is combined by automatic working condition calibration, multidimensional signal accurate analysis, dynamic anomaly diagnosis and intelligent interactive feedback technology, realizes the full-link automation closed-loop monitoring of equipment operation state from calibration to diagnosis to abnormal response, significantly improves the real-time, accuracy and intelligent level of equipment state monitoring process, solves the problems of inaccurate working condition recognition, single feature analysis dimension and insensitive abnormal state recognition in the prior art, and effectively improves the equipment operation reliability, reduces the fault risk and maintenance cost.

The application relates to the technical field of sensor calibration, and discloses a sensor intelligent calibration system and method, which comprises a hardware integrated host, a main control module, a calibration data storage module, a communication interface module, a sensor type identification module and PC end detection software. The method is applied to the system. According to the application, the multi-channel design of the hardware integrated host realizes convenient access and real-time calibration of multiple types of sensors, reduces the time consumption of equipment switching, solves the wide-temperature-range nonlinear compensation problem based on the impedance characteristics and voltage range matching segmented compensation model of the sensor type identification module, improves the calibration accuracy of platinum resistance, thermocouple and other sensors, and integrates standard source data to generate a calibration report through the calibration data storage module and the PC end detection software, realizes whole life cycle data management and quality tracing, and thus improves the adaptability to various sensors, calibration efficiency, data consistency and expandability.

The application discloses a micro-hole array grating temperature and pressure sensor, which comprises an optical waveguide, a micro-hole array grating and a micro-cavity array grating, the optical waveguide has an optical transmission channel inside, the micro-hole array grating and the micro-cavity array grating are formed in the optical transmission channel of the optical waveguide in parallel, the micro-hole array grating is communicated with the outside environment, and the micro-cavity array grating is isolated from the outside environment. The micro-hole array grating temperature and pressure sensor can avoid the mutual influence of the environment temperature and the environment pressure during measurement, so that the different environment temperatures and the different environment pressures can be measured simultaneously. The application further provides a preparation method and a test calibration method of the micro-hole array grating temperature and pressure sensor.

Systems and methods are provided for improving statistical and machine learning drift detection models that monitor computing health of a data center environment. For example, the system can receive streams of sensor data from a plurality of sensors in a data center; clean the streams of sensor data; generate, using a machine learning (ML) model, an anomaly score and a dynamic threshold value based on the cleaned streams of sensor data; determine, using the ML model and based on the anomaly score and the dynamic threshold value, a correctness indicator for a first sensor in the plurality of sensors; and using the correctness indicator, correct the first sensor.

A mechatronic system comprises an electric actuator for driving a mechanical member, and drive electronics for controlling the actuator associated with a position sensor including at least one magnetosensitive probe including a programmable digital switch delivering an electrical signal dependent on the angular position of the mechanical member. The drive electronics comprise a microcontroller having at least one wake-up mode corresponding to the activation of the microcontroller only by a programmable wake-up circuit. The position sensor comprises a programmable wake-up circuit delivering a signal to a bus in the event of the mobile member moving. One of the microcontrollers controls, upon activation by a wake-up signal transmitted by the programmable digital switch: initialization of the access control register for controlling access to the EEPROM memory, writing of a digital datum to an EEDATA register of the EEPROM memory, and switching to rest mode at the end of a predetermined period.

Systems and methods for analyzing milk are described. A plurality of first type sensors are provided, each first type sensor being associated with a respective one of a plurality of teat cup sets of a milking system and configured to analyze milk extracted by the teat cup set from an individual animal to determine at least one first type sensor value of a parameter of the milk across an event period. At least one of a second type sensor associated with at least one of the plurality of teat cup sets is configured to analyze milk extracted by the teat cup set from the individual animal to determine at least one second type sensor value of the parameter of the milk within the event period, wherein the second type sensor is less susceptible to animal-specific bias than the first type sensor. The number of second type sensors in the system is less than the number of first type sensors. Based on the at least one first type sensor value and the at least one second type sensor value of the parameter determined for the individual animal, an animal-specific bias correction is determined for the individual animal. The animal-specific bias correction is applied to the first type sensor values of the parameter obtained from the first type sensors for milk extracted from the individual animal.

A method and system of calibration of one or more sensors are provided in a given environment. In a reliable calibration phase, in a first time period after calibration of the sensor, the method determines an environment response function based on a known sensor response function. The environment response function is a spatio-temporal response of the environment representing the environmental response operating on the event to result in the measurand field. Subsequently, in an unreliable calibration phase, in a second time period after the first time period, the method estimates a current sensor response function based on the environment response function determined in the reliable calibration phase. The method outputs a calibration function based on the estimated current sensor response function for updating calibration of the sensor.

A method for carrying out a diagnosis of a sensor system. The method including: (i) ascertaining a processing specification of a test signal and / or of a characteristic physical variable and / or its respective change as a function of at least one part-specific property of the sensor system; and (ii) carrying out a subsequent diagnosis of a sensor element of the sensor system, using the processing specification ascertained in (i).

The present invention relates to the technical field of position calibration, and in particular to a method and a device for calibrating a position sensor applied to a motor. The method comprises acquiring absolute position information of a motor based on feedback of a PWM signal; giving an orthogonal signal to the motor; giving an electrical angle in a first direction to the motor, and recording first relative angles fed back by the orthogonal signal; acquiring a first calibration mapping table for mapping the first relative angles to the electrical angle based on a mapping relation between the first relative angles and the electrical angle; and setting the first calibration mapping table as a mapping table after position sensor calibration to perform calibration; utilizing an absolute lag angle based on feedback of a PWM signal to calibrate relative angle with relatively better real-time performance, in order to avoid step loss.

A method of inspecting a sensor including generating a first model based on first big-data including first inspection results for sensors of a same type connected to a current inspection environment, generating first target characteristic coefficients for channels included in the first model, generating first characteristic coefficients for channels included in a current sensor, and generating first compensation coefficients for the channels included in the current sensor based on the first target characteristic coefficients and the first characteristic coefficients.

The present application relates to a kind of mining sensor detection data adaptive optimization method, belong to sensor technical field, including the following steps: S1: set mining sensor output detection original data queue as X [n];S2: sensor first time work, single output detection original data is d, while the element of original data queue X [n] is all assigned d;S3: from second data, data d is sequentially stored in the last bit of original data queue X [n], and the first data is removed from X [n], the ratio between elements in original data queue X [n] is calculated, i.e.data stability factor;S4: data stability factor is analyzed, let the number of greater than 1 be C1, the number of equal to 1 be C2, the number of less than 1 be C3;According to the numerical relationship of C1, C2, C3 different processing functions are handled, and real-time update is carried out, and the final detection data is calculated.

A method for extrinsic calibration of a vehicle sensor (10) arranged on a vehicle (1), comprising calibrating (S3) the vehicle sensor (10) based on angular velocity (ω(ms1)) and linear acceleration (f(ms1) of a first motion sensor (ms1) collocated with the vehicle sensor (10), angular velocity (ω(ms2)) and linear acceleration (f(ms2)) of a second motion sensor (ms2) having a known pose in a reference frame of the vehicle (1), and an assumption that as angular velocity of a rigid body is the same at all points of said rigid body, angular velocity of the first motion sensor (ms1) and the second motion sensor (ms2) are the same when the orientations of the first motion sensor (ms1) and of the second motion sensor (ms2) are the same. The disclosure also relates to a system and a vehicle.

Disclosed are a sensor output confidence level adjustment device and a sensor output confidence level adjustment method. The sensor output confidence level adjustment device includes: a sensor information acquisition unit that acquires information about different types of sensors; a sensor consistency determination unit that determines consistency between the different types of sensors based on the information about the different types of sensors; a driving environment determination unit that determines a driving environment of a vehicle when the consistency between the different types of sensors is lower than a reference value; and a confidence level adjustment unit that determines the applicability of a confidence level of the different types of sensors based on the consistency between the different types of sensors and the driving environment, and adjusts the confidence level of the different types of sensors again based on this.