28 results about "COMP Measurement" patented technology

The present disclosure provides techniques for measuring and compensating for clock drift errors in time-aware networks and time-sensitive applications, where a time-aware system (TAS) measures clock drift, and compensates for the measured clock drift, and makes predictions of future clock drift values based on history and other physical measurements. Existing messages used for measuring link delay and / or used for time synchronization can be used for frequency measurement (and thus clock drift measurement), and this measured drift can be applied as a correction factor whenever synchronization is determined and / or used. The predicted clock drift rate can be based on various probability distributions including linear, Kalman filters, and / or others. Other embodiments may be described and / or claimed.

A coordinate measuring machine (measuring apparatus) includes: a probe (measurement performing unit) performing a measurement process on a measurement target; an electrical section disposed in a part of the probe; a temperature sensor provided for the electrical section and outputting a detection signal based on a temperature obtained by measurement; and a controller (measurement calculator) calculating a measurement result of the measurement target, in which the controller calculates the measurement result by compensating a measurement value obtained by the measurement process based on a processed signal obtained by applying a low-pass filter to the detection signal output from the temperature sensor.

A meter electronics (20) for detecting an orientation and compensating a measurement based on the detected orientation is provided. The meter electronics (20) comprises an interface (401) configured to communicatively couple to a sensor assembly (10) and a processing system (402). The processing system (402) is configured to detect an orientation of the sensor assembly (10) based on one or more sensor signals provided by the sensor assembly (10).

The utility model discloses an electricity consumption information sampling structure and an electric energy meter, and relates to the technical field of electric energy meters, in particular to the electricity consumption information sampling structure comprises a sampling strip, a sampling area is integrally formed in the middle of the sampling strip, and the resistivity of part of the sampling area is larger than that of other areas of the sampling strip; at least two groups of electric connection points are arranged between the power frequency compensation device and the sampling strip, and the sampling strip between the two groups of electric connection points at least comprises the sampling area with partial length and is used for compensating signals collected from the sampling strip; the measuring and calculating device is electrically connected with the power frequency compensation device and is used for calculating and analyzing signals transmitted by the power frequency compensation device; the electricity utilization information sampling structure, namely the electric energy meter, adopts direct contact type measurement, the measurement precision is improved, a power frequency compensation device is integrated, the sampling precision is further improved, and the interference resistance of a power frequency magnetic field is improved.

Presented herein are methods and systems for calibrating metrology tool offset values ​​to match measurement results across a fleet of metrology tools. The offset value calibration is based on measurements of in-line production wafers and eliminates the need for specially manufactured and characterized quality control (QC) wafers. In this way, the entire process flow for calibrating metrology tool offset values ​​is automated and fully integrated with the bulk semiconductor manufacturing process flow. In a further aspect, the implementation of new offset values ​​is governed by one or more predetermined control limits. In yet another further aspect, the measured value of a parameter of interest is adjusted to compensate for the effects of measurement time on the wafer under measurement.

Circuitry for processing an analyte signal obtained from an electrochemical cell, the circuitry comprising: measurement circuitry having a first measurement input coupled to a first electrode of the electrochemical cell, the measurement circuitry configured to convert the analyte signal at the first measurement input to a first analog output signal; an analog-to-digital converter (ADC) having an first ADC input for receiving the first analog output signal, the ADC configured to convert the first analog output signal to a first digital output signal at an ADC output; compensation circuitry configured in a measurement mode to: apply a first compensation to the first digital output signal to obtain a first compensated digital output signal, the first compensation to compensate for non-linearity in the ADC; and apply a second compensation to the first compensated digital output signal to obtain a second compensated digital output signal, the second compensation to compensate for non-linearity in the measurement circuitry; control circuitry configured in a calibration mode to: apply a first calibration signal at the first ADC input and adapt the first compensation based on the first calibration signal and the first compensated digital output signal; and apply a second calibration signal at the first electrode and adapt the second compensation based on the second calibration signal and the second compensated digital output signal.

In a mobile communication system, an RRM measurement set is set as a collection of cells to become targets on which a UE performs a process of detecting whether or not radio communication is allowed. Among the cells in the RRM measurement set, a CoMP measurement set is set as a collection of cells to become candidates on which the UE performs a process of detecting whether or not coordinated communication (CoMP communication) is allowed. Among the cells of the CoMP measurement set, a CoMP active set is set as a collection of cells to become targets on which the UE performs the process of detecting whether or not CoMP communication is allowed.

This invention discloses a method and system for real-time dynamic compensation measurement of air volume in large wind turbines based on deep learning, comprising: S1: real-time acquisition of initial data of the large wind turbine through preset multiple types of sensors; S2: optimization and synchronization alignment of the initial data of the wind turbine through industrial IoT edge nodes to obtain a multi-dimensional time-series data matrix with operating condition labels; S3: based on the multi-dimensional time-series data matrix, generating dynamic compensation features including eddy current suppression coefficients through an improved CNN-LSTM hybrid network; S4: decoding the optimal dynamic compensation air volume based on the dynamic compensation features through an adaptive reinforcement ensemble learning framework, and triggering a PID controller based on the optimal dynamic compensation air volume to realize dynamic compensation measurement of air volume. For wind turbine air volume, which is affected by multiple factors and has a certain degree of complexity, more accurate prediction can be achieved.

The invention provides a fan load measuring system and a fan. The fan load measuring system comprises a plurality of optical fiber load sensors which are arranged at the root of the same target blade; the temperature sensors are arranged close to the optical fiber load sensors and are in one-to-one correspondence with the optical fiber load sensors; and the load metering unit is used for collecting real-time measurement data of the optical fiber load sensor and the temperature sensor and calculating the load of the target blade based on the calibration parameters of the target blade. According to the invention, the temperature sensor is integrated in the measurement system to compensate the measurement error, thereby improving the parameter calibration precision, and finally improving the real-time measurement accuracy of the load.

Circuitry for processing an analyte signal obtained from an electrochemical cell, the circuitry comprising: measurement circuitry having a first measurement input coupled to a first electrode of the electrochemical cell, the measurement circuitry configured to convert the analyte signal at the first measurement input to a first analog output signal; an analog-to-digital converter (ADC) having an first ADC input for receiving the first analog output signal, the ADC configured to convert the first analog output signal to a first digital output signal at an ADC output; compensation circuitry configured in a measurement mode to: apply a first compensation to the first digital output signal to obtain a first compensated digital output signal, the first compensation to compensate for non-linearity in the ADC; and apply a second compensation to the first compensated digital output signal to obtain a second compensated digital output signal, the second compensation to compensate for non-linearity in the measurement circuitry; control circuitry configured in a calibration mode to: apply a first calibration signal at the first ADC input and adapt the first compensation based on the first calibration signal and the first compensated digital output signal; and apply a second calibration signal at the first electrode and adapt the second compensation based on the second calibration signal and the second compensated digital output signal.

The invention discloses a mechanical sensor detection data calibration method based on multi-source data fusion, particularly relates to the field of metering calibration, and is used for solving the problems that a measurement channel count value is difficult to stably calibrate and lacks a traceable basis due to the common influence of reference channel count value fluctuation, internal temperature change and abnormal disturbance under an in-service working condition. A measurement channel count value, a reference channel count value, an internal temperature original sequence and a time identification sequence are collected, a standardized observation sequence and a smooth internal temperature sequence are generated, a posterior credibility sequence is formed to drive soft gating recursion updating, and the soft gating recursion updating is projected to a metering allowable range to be written in under verification freezing identification; and meanwhile, a compensation measurement uncertainty sequence is output, and a coefficient version number and an applicable temperature zone are recorded in an audit log, so that dual-channel alignment management is realized.

The invention discloses a body fat scale measurement correction system and method based on the Internet of Things, and particularly relates to the technical field of intelligent health monitoring equipment, and the system comprises a terminal sensing layer, an Internet of Things transmission layer, a cloud data processing layer and a user interaction layer. The Internet of Things transmission layer realizes data interaction between the terminal sensing layer and the cloud data processing layer and the user interaction layer; the cloud data processing layer is used for processing the received data, and the cloud data processing layer comprises a data preprocessing module, a feature extraction module, a dynamic correction model module and a model iteration updating module. Multi-path electrical impedance values are collected through an 8-electrode BIA module, feature extraction is optimized in combination with a WKPCA algorithm, dynamic correction is achieved through an AGA-BP model, superposition environment parameters are compensated in real time, the measurement error rate is obviously reduced compared with a traditional body fat scale, and the measurement precision of special crowds is improved.

The present invention relates to the technical field of power equipment status monitoring, specifically to an online evaluation method for capacitive equipment status based on artificial intelligence and frequency domain interpolation, including obtaining the complex spectrum of the equipment signal and extracting the operating condition characteristics; inputting the operating condition characteristics into the operating condition modulation model to generate dynamic parameters for real-time adjustment of the adversarial interpolation correction model; the correction model converts the spectrum slice into an optimized spectrum, thereby accurately calculating the dielectric loss factor. Afterwards, the factor is combined with other operating parameters into a multidimensional time series, input into a health status assessment model, outputs an abnormality score that characterizes the actual insulation degradation state of the equipment, and generates a diagnostic data object containing a measurement result consistency score. By introducing an artificial intelligence model, the present invention dynamically compensates for measurement errors according to real-time operating conditions and performs intelligent diagnosis, significantly improving the accuracy and reliability of online evaluation.

Described herein are systems with switchable circuitry configured to selectively couple transmitter outputs to processing hardware, which may selectively route subsets of distortion measurements from transmitters for DPD processing that compensates for the measured distortion. The switchable nature of the distortion measurement propagation paths permits the paths to be made substantially shorter than static paths, resulting in improved (e.g., reduced and / or more uniform) attenuation and / or phase change across a transceiver array. In one example, measurement propagation paths may be no longer than a row or column of the array. In some embodiments, systems described herein may be suitable for implementation at mmW transmit and / or receive frequencies, where the length of measurement paths may have a significant impact on attenuation and phase changes.

The application discloses a kind of reactive power compensation measurement systems of distributed power transformer, the present application relates to transformer measurement technical field, measurement system includes data acquisition module, data analysis module, power compensation module and early warning module, data acquisition module is used to measure the circuit current in different route transformer, temperature around transformer and the vibration data of transformer, the data measured by data acquisition module is transmitted to data analysis module, the advantage of the present application is that: by data acquisition module, each aspect state data in transformer is collected, then the state of transformer is obtained using data analysis module, then according to the analyzed transformer state, the compensation strategy of corresponding transformer in reactive state is generated, power compensation module is executed according to compensation strategy, and then the effect of subsequent optimal adjustment and compensation of reactive data in different distributed power transformer is facilitated.

The present invention relates to the field of nuclear radiation detection technology, and provides a tritium measurement device with a radon compensation function. The device comprises a measurement unit, a pulse amplification circuit, a current amplification circuit, and a signal processing and display unit. The measurement unit has two paths: one path is connected to the pulse amplification circuit to measure radon pulse signals, thereby achieving radon compensation measurement; the other path is connected to the current amplification circuit to measure current signals including tritium and radon. The device utilizes the pulse signals generated by radon for compensation measurement, thereby avoiding the influence of tritium signals on radon measurement. It does not require detritium treatment and does not have complex drying and oxidation structures. It is easy to implement, simple, and efficient.

The present disclosure provides a dynamic measurement system with online calibration and compensation, comprising: an online calibration subsystem for online calibration of dynamic characteristics of the dynamic measurement system during calibration to obtain a transfer function of the dynamic measurement system; and an online compensation measurement subsystem for compensation and correction of original dynamic signals using the transfer function during actual measurement. The two subsystems share three modules of measurement sensors, data acquisition and display output. The dynamic measurement system realizes integration of three links of calibration, measurement and compensation, improves sharing rate of hardware and data switching efficiency in the three links, and can greatly improve measurement efficiency.

The utility model discloses an SMU automatic calibration system, comprising a program control resistor module, the program control resistor module comprises a UART communication module, and the UART communication module is connected with a programmable resistor module through a control unit; the programmable resistor module is respectively connected with the user interface and the ADC data acquisition module through the universal meter, the ADC data acquisition module feeds back data to the user interface, the user interface sends the data to the UART communication module, and the ADC data acquisition module is connected with the programmable resistor module through the SMU module. The utility model discloses an efficient and accurate SMU automatic calibration system. Measurement errors can be adjusted and compensated, and the reliability of test results is improved.

The application discloses a kind of intelligent vertical turning machine tool online measurement system debugging method, belongs to high-end intelligent machining equipment debugging technical field, in order to solve the problem that existing intelligent vertical turning machine tool does not have the function of online debugging of the measurement system of machine tool, leading to the problem of long auxiliary machining time of machine tool, low machining efficiency and large machining error, the debugging method is measured first The coaxiality of the axis of the positioning center hole of the tool installed in the center of the ram of the machine tool and the center line of the rotation of the worktable;Then, the coordinate position calibration of the tool measurement system and the workpiece measurement system is carried out using the calibration gauge installed on the ram, and the calibrated coordinate position is used as the reference coordinate system for subsequent tool measurement and workpiece measurement.

The invention discloses a reactive compensation measurement and control method and system based on a fusion terminal, and relates to the technical field of reactive compensation, and the method comprises the steps: building a voltage loss mathematical model through obtaining the historical operation data of a power distribution network; and calculating and obtaining the circuit voltage loss based on the constructed voltage loss mathematical model. And on the basis of the obtained circuit voltage loss amount, the reactive compensation control of the power distribution network region is realized through an optimal reactive power flow distribution principle. According to the method, the installation position and the input capacity of the segmented reactive power compensation device in the distribution line are determined, the switching strategy of the compensation device in the network is perfected through step-by-step adjustment of the reactive power voltage, all reactive power adjustment devices in the region are planned as a whole to carry out collaborative low-voltage regulation and control, and reactive power layering and partitioning are carried out as far as possible; and the aim of effectively improving the low-voltage problem is fulfilled on the basis of in-situ balance.

The application belongs to the technical field of high-end measuring equipment, and particularly discloses a laser collimation guide rail straightness dynamic compensation measurement method based on multi-sensor fusion, which comprises the following steps: forcibly synchronizing the initial optical two-dimensional displacement signals, inertial transient angular velocity and acceleration signals and orthogonal temperature field signals output by a multi-sensor integrated measurement head through a global hardware clock bus based on a field programmable gate array in a central synchronous processing unit; calculating the optical path transverse refractive index spatial gradient based on the orthogonal temperature field signals and deducing a false light spot transverse displacement compensation amount vector; and the application aims to solve the technical problems that the existing pure optical straightness measurement technology is difficult to strip the light beam transverse thermal bending false image, difficult to decouple high-frequency mechanical vibration and low-frequency geometric deformation under complex dynamic working conditions, thereby affecting the dynamic closed-loop compensation precision and possibly causing system mechanical resonance.

A three-dimensional power frequency magnetic field accurate alignment auxiliary measurement device and method are disclosed. The measurement auxiliary device consists of a measurement support, a Z-direction height compensation plate, and a planar positioning plate. The measurement support consists of a support base plate, a support column, and a measurement platform. A height-adjusting plate is attached to the support column to adjust and fix the height of the measurement platform. The Z-direction height compensation plate is placed between the measurement platform and the planar positioning plate to compensate for the height of the X and Y direction sensors when measuring the X and Y direction magnetic field components. This invention can conveniently achieve accurate alignment for the measurement of three-dimensional power frequency magnetic field components at the same point, enabling the sensor centers in each direction of the power frequency magnetic field measuring instrument to be precisely positioned at the measurement point, and accurately obtaining the power frequency magnetic field value at the measurement point.

The application discloses a kind of intelligent towed's tow cable three-dimensional error compensation angle measurement method, equipment and medium, it is related to optical measurement technical field, including, dividing half circle angle measurement area, half circle angle measurement area is divided into multiple angle measurement subareas under the fixed visual angle of camera, obtain optical angle measurement reference;Utilize optical angle measurement reference to limit the measurement range of deck real-time measurement image, identify the tow cable area in deck real-time measurement image in measurement range, eliminate linear interference area not continuous with tow cable ship point, form tow cable measurement pixel band;Compare the coverage relationship between tow cable measurement pixel band and multiple angle measurement subareas, determine initial angle, the partition attribution of tow cable measurement pixel band is corrected by the angle compensation value corresponding to initial angle, and obtain compensation measurement pixel band.The application corrects the partition attribution of tow cable measurement pixel band by angle compensation value, improves the continuity, accuracy of tow cable space posture determination and the reliability of priority angle measurement subarea determination.

A wireless transmit / receive unit (WTRU) communicates with a wireless network to enhance positioning accuracy. The WTRU receives direct path reference phase and delay information, environmental object (EO) reference information, and positioning reference signal (PRS) resources from the network. Using the PRS resources, the WTRU determines phase and delay measurements for multiple sensing paths to a target object. The WTRU analyzes these measurements along with the direct path and EO reference information to identify paths associated with EOs. Based on this analysis, the WTRU calculates compensated phase and delay measurements for the identified paths. These compensated measurements, along with their uncertainties and details of the EOs, are then reported back to the network. Accurate positioning is achieved by considering EO-related delays and phases, mechanisms are included to validate the timing and relevance of the measurements.

Measuring device (1) for measuring forces and / or torques present in an object of investigation (2) made of ferromagnetic material, comprising a. comprising a magnetoelastic sensor i. a first coil unit (3) configured to generate a magnetic field (B1, B2) which extends at least partially outside the sensor and penetrates at least a partial area of ​​the object under investigation (2), wherein the first coil unit (3) comprises a transmitting coil (7), ii. a second coil unit (4) configured to detect response signals induced by the generated magnetic field (B1, B2) in the object under investigation (2), wherein the response signals reflect local magnetic field changes in the object under investigation (2), wherein the second coil unit (4) comprises two pairs of coils surrounding the transmitting coil (7), each pair of coils having two opposing receiving coils (9) relative to the circumference of the transmitting coil (7), iii. a ferrite core arrangement comprising a first ferrite core (8) and second ferrite cores (10) distributed around the first ferrite core (8), wherein the ferrite cores (8, 10) are arranged on a common ferrite base plate (11), and wherein the ferrite cores (8, 10) are shaped in the manner of a rod cylinder and extend perpendicular to the base plate (11) from a cylindrical base arranged on the base plate (11); b. several capacitive distance sensors (5) which form an integrated unit with the magnetoelastic sensor and are configured to detect distance values ​​(A) present between the measuring device (1) and the object under investigation (2) at different spatial locations; c. an evaluation unit (6) which is set up for this purpose i. to determine measurement signals based on response signals received from the second coil unit (4) and which are proportional to the forces and / or torques present in the object under investigation (2), and ii. to calculate an average distance value from the distance values ​​(A) recorded at the different spatial locations and to use the average distance value to compensate for fluctuations in the measurement signals resulting from a dynamic distance variation between the measuring device (1) and the object under investigation (2), namely signal attenuations and / or signal amplifications; wherein the transmitting coil (7) and the receiving coils (9) are arranged on a common coil carrier, wherein the coil carrier has recesses by virtue of which the coil carrier can be plugged over the ferrite cores (8, 10), and wherein the recesses are formed in the area of ​​the respective coil centers in the coil carrier, wherein, based on object information available for the object of investigation (2), an adapted signal amplification or signal attenuation of the measurement signals can be preselected in the sense of a coarse adjustment, and wherein the measuring device (1) is set up to variably amplify and / or attenuate the measurement signals proportional to the forces and / or torques present in the object of investigation (2) in the sense of a fine adjustment.

The invention discloses a large fan air volume real-time dynamic compensation measurement method and system based on deep learning. The large fan air volume real-time dynamic compensation measurement method comprises the steps that S1, fan initial data of a large fan are collected in real time through a preset multi-type sensor; s2, performing optimization synchronous alignment on the initial data of the fan through edge nodes of the industrial Internet of Things to obtain a multi-dimensional time sequence data matrix with working condition labels; s3, on the basis of the multi-dimensional time sequence data matrix, through an improved CNN-LSTM hybrid network, generating a dynamic compensation feature containing an eddy current suppression coefficient; and S4, based on the dynamic compensation characteristics, the optimal dynamic compensation air volume is decoded through an adaptive enhanced integrated learning framework, a PID controller is triggered based on the optimal dynamic compensation air volume to achieve dynamic compensation measurement of the air volume, and more accurate prediction can be achieved for the fan air volume which is the data which is influenced by various factors and has certain complexity.

A wireless transmit / receive unit (WTRU) communicates with a wireless network to enhance positioning accuracy. The WTRU receives direct path reference phase and delay information, environmental object (EO) reference information, and positioning reference signal (PRS) resources from the network. Using the PRS resources, the WTRU determines phase and delay measurements for multiple sensing paths to a target object. The WTRU analyzes these measurements along with the direct path and EO reference information to identify paths associated with EOs. Based on this analysis, the WTRU calculates compensated phase and delay measurements for the identified paths. These compensated measurements, along with their uncertainties and details of the EOs, are then reported back to the network. Accurate positioning is achieved by considering EO-related delays and phases, mechanisms are included to validate the timing and relevance of the measurements.

A system includes one or more processors that are configured to compensate a measurement tool by performing a method. The method includes capturing a first data using the measurement tool. The method further includes capturing a second data using the measurement tool. The method further includes detecting a first natural feature in the first data. The method further includes computing a difference in positions of the first natural feature in the first data and the second data respectively. The method further includes computing a compensation parameter to adjust the measurement tool based on the difference computed.