12 results about "COMP Measurement" patented technology

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.

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 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.

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.

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.