14results about How to "Valid calibration" patented technology

The invention discloses an illuminance sensor multi-point calibration method based on big data, particularly relates to the technical field of illuminance sensor calibration, and aims to screen out a faulty illuminance sensor based on the transmissivity, time null drift and zero temperature drift of the illuminance sensor, exclude subsequent calibration and effectively save the calibration cost of the illuminance sensor. The correlation coefficient set of the illuminance sensor is obtained by analyzing big data, and the illuminance sensor is calibrated based on the correlation coefficient set, so that the illuminance sensor is calibrated more scientifically, and the measurement accuracy and stability of the illuminance sensor are improved; more calibration times are set for the illuminance sensor with a large comprehensive quality coefficient, more resources can be applied to the sensor with better performance, and scientific management of the illuminance sensor is facilitated; the problems that in the prior art, the calibration cost of an illuminance sensor is high, and the illuminance sensor cannot be calibrated scientifically are solved.

The application relates to an active band-pass filter Q value calibration circuit, which comprises an LDO circuit, a calibration signal filter circuit and a Q value calibration detection circuit; wherein the output ends V1 and V2 of the LDO circuit supply power to the calibration signal filter circuit, the output end VREF of the LDO circuit provides a reference voltage for the Q value calibration detection circuit, the output end signals VBP and VBN of the calibration signal filter circuit serve as inputs of the Q value calibration detection circuit, and the output signal VRZ of the Q value calibration detection circuit is outputted <n:0>The control signal is used as a calibration signal to filter circuit. The application can effectively tune the Q value of the filter and improve the consistency of the chip. Compared with the traditional active band-pass filter Q value calibration circuit, the application has the characteristics of small implementation difficulty and high integration.< / n:0>

The application discloses a kind of in-situ online self-calibration method and device of MEMS inclination sensor, its method includes when target MEMS inclination sensor is shipped and uses, respectively, to its self-detection port excitation voltage signal is applied and output signal is recorded;According to the excitation voltage signal and the output signal, the virtual scale factor and the virtual zero position when target MEMS inclination sensor is shipped and uses are calculated;According to the virtual scale factor and the virtual zero position, the scale factor drift and the zero drift when target MEMS inclination sensor uses are calculated;Actual output signal when target MEMS inclination sensor uses is acquired, and the scale factor drift and the zero drift are calculated according to the inclination angle;The application can effectively solve the drift error problem of MEMS inclination sensor in-situ online in use site at low cost, and avoids the calibration of sensor's return factory.

The utility model belongs to the technical field of water level detection, and provides a portable radar water level gauge calibration device which comprises a stand column, a cantilever is installed on the top of the stand column, and a radar water level gauge is installed at the end, away from the stand column, of the cantilever. The device further comprises a calibration frame body, a roller frame is installed on the calibration frame body, a winding roller is rotatably installed on the roller frame, a pull rope is wound around the winding roller, the pull rope is provided with scale marks, a guide roller is rotatably installed at the top of the calibration frame body, an indicator plate is arranged between the guide roller and the winding roller, and scale indicators are arranged on the indicator plate. A universal joint is detachably installed at the end, away from the stand column, of the cantilever, a roller is rotationally installed at the bottom end of the universal joint, and in the calibration state, one end of the pull rope is wound around the winding roller, and the other end of the pull rope winds around the roller and is connected with a detection disc. The radar water level gauge calibration device can effectively calibrate the radar water level gauge, is simple in structure and convenient to carry and use, enables calibration work of the radar water level gauge to be simple and convenient, and is high in practicability.

This application relates to the field of slope monitoring technology and discloses a calibration method and apparatus for highway slope monitoring signals based on deformation characteristics. The method includes: collecting raw monitoring data through a network of monitoring sensors installed on the surface of the highway slope; cleaning the raw monitoring data to remove outliers and noise interference, obtaining a standardized deformation data sequence; extracting deformation features based on the standardized deformation data sequence using a deformation trend recognition algorithm to generate a deformation feature set; converting the dimensions of multiple deformation features in the deformation feature set into calibration signal control dimensions; wherein the calibration signal control dimensions include control amplitude dimension, control frequency dimension, and control phase dimension, and each dimension of the deformation feature is converted into a corresponding calibration signal control dimension; generating a calibration monitoring signal based on the multiple dimensions of the calibration signal control dimensions and outputting it. This achieves effective calibration of slope deformation monitoring signals, providing reliable support for slope stability monitoring.

The invention relates to the technical field of hydrographic survey, and discloses a riverway warning-based water level detection device, which comprises an installer, a cross rod fixedly installed at the top of the installer, a water level detector arranged at one end of the cross rod, and a connecting piece fixedly connected to the outer part of the water level detector, the transmission piece enables the calibration plate to rotate to the position under the water level detector through the transmission belt, and the connecting piece can drive the water level detector to move downwards through the lifting unit. Transmission is conducted through the transmission part, the condition of the water level detector can be fed back in time through the calibration plate, continuity and accuracy of monitoring data are ensured, long-time wrong data caused by equipment drifting faults are avoided, the overall reliability of monitoring equipment is improved, rapid maintenance and replacement are achieved in cooperation with the lifting unit, and the practicability is high. Downtime caused by faults of the water level detector is shortened, long-term stable operation of the monitoring system is guaranteed, and the warning effect that the water level detector is larger than the water level of the river channel is effectively guaranteed.

The application provides a resonator chip test method and device, electronic equipment and storage medium, and relates to the technical field of semiconductor chip testing. The contact resistance value between the probe and the chip electrode is obtained, the current test signal frequency and the cumulative test number of the probe are obtained, the test error is calculated by using a preset dynamic error calibration model according to the contact resistance value, the current test signal frequency and the cumulative test number, the test error is deducted from the current test signal frequency, and the calibrated test result is obtained, so that the effective calibration of the resonator chip test result is realized, and the precision and reliability of high-frequency test in the automatic probe test system are improved.

The invention relates to the technical field of camera calibration, in particular to a camera self-calibration method, intelligent equipment and a storage medium, and aims to solve the technical problem of how to adaptively adjust the offset of a camera. In order to achieve the purpose, a camera is controlled to shoot an image of a to-be-shot area, features of a key area in the image are obtained, and standard parameters of a preset key area are calibrated according to the features of the key area. Through the above configuration mode, calibration of the standard parameters can be realized according to the features of the key area of the image of the to-be-shot area, calibration can be realized as long as the camera can shoot the key area, effective calibration for small-amplitude offset of the camera can be realized, the calibration process is more convenient, manual participation is not needed, and the calibration efficiency is improved. And the labor cost and the time cost are lower.

The application relates to the technical field of image processing, in particular to a clinical ultrasonic image auxiliary screening system based on deep learning. The system comprises an ultrasonic image preprocessing module, a lesion region segmentation module, an image lesion labeling module and a lesion auxiliary screening module, can acquire clinical ultrasonic images and carries out gray processing and neighborhood gray balance processing, so as to generate clinical ultrasonic balanced images; carries out pixel normalization and lesion region segmentation based on tissue boundary blur on the clinical ultrasonic balanced images, so as to generate clinical ultrasonic image lesion region blocks; carries out image lesion labeling through the clinical ultrasonic image lesion region blocks, so as to generate a clinical ultrasonic lesion labeling image set; constructs an image lesion auxiliary screening model and carries out lesion auxiliary screening, so as to output the lesion position, lesion type and lesion severity corresponding to the lesion existing on the clinical ultrasonic image. The application can realize accurate analysis of clinical ultrasonic images, so as to assist in efficiently completing lesion screening.

The utility model provides a sleeper static load testing machine convenient to calibrate, which comprises a movable sleeper trolley and a testing machine base, the upper end of the testing machine base is fixedly connected with testing machine stand columns, and the upper ends of the four testing machine stand columns are fixedly connected with a testing machine upper cross beam. The problems that the hydraulic jack is in an eccentric pressed state, the hydraulic jack and pressure sensors are damaged to a certain degree, each pressure sensor corresponds to one calibration coefficient, the two calibration coefficients and the calibration coefficient of resultant force are not the same, but the result is usually poor are solved, and the device is reasonable in structure, good in practicability and easy to popularize. On the premise of not influencing normal detection of the sleeper by the sleeper static load testing machine, not only can the pressure sensor in the middle be effectively calibrated, but also the resultant force of the pressure sensors on the two sides can be effectively calibrated, and the hydraulic jack can be prevented from being in an eccentric pressed state.

The present invention discloses a thermal runaway warning method and system based on battery gas detection, and relates to the field of battery safety technology. The present invention aims to improve the accuracy of thermal runaway warning for lithium-ion batteries, avoid false alarms and missed alarms, and ensure accurate warnings. A reasonable threshold is set for the baseline readings, the retained baseline readings are scored and weighted, the concept of loss value is introduced, and an expected threshold range is set as a judgment standard to finely calibrate the baselines of internal and external gas sensors. Finally, the output signal is calibrated with a more accurate standard coefficient obtained based on the output signal of the internal and external gas sensors after the fine calibration of the baseline, so as to ensure that the gas sensor is substantially and effectively calibrated comprehensively, and the goal of accurate warning is achieved. The overall process ensures that the warning system is efficient and accurate, and accurately identifies the thermal runaway state of the lithium-ion battery.

The invention discloses a high-pressure low-humidity gas dew point calibration device and method. The device comprises a dry gas source, a first stagnation valve, a second stagnation valve, a first pressure reducing valve, a second pressure reducing valve, constant-temperature water bath circulating equipment, a back pressure type pressure regulating valve, a precise dew point instrument and a pipeline. The dry gas source is used for providing dry gas to purge the pipeline; calibrated gas is connected into the pipeline by opening the second stagnation valve, the first pressure reducing valve is used for reducing the pressure of the calibrated gas from high pressure to medium pressure, and the second pressure reducing valve is used for reducing the pressure of the calibrated gas from medium pressure to normal pressure; the constant-temperature water bath circulating equipment is used for providing constant-temperature circulating water for the pipeline, the back pressure type pressure regulating valve is used for carrying out pressure fluctuation control and safety protection on the precise dew-point instrument, and the precise dew-point instrument is used for carrying out dew-point calibration on the calibrated gas. According to the invention, pressure reduction without water loss can be realized, and effective calibration of the dew point of the high-pressure low-humidity gas is realized.

The invention provides a method for measuring a millimeter wave antenna pointing error by using a spread source, which comprises the following steps: scanning a selected calibration source by using a millimeter wave antenna of a telescope, and recording to obtain calibration data, the calibration source being a spread source; and processing the calibration data from the spread source through a deconvolution algorithm, and obtaining the pointing error angles of the current azimuth axis and pitch axis according to a deconvolution result. According to the method for measuring the pointing error of the millimeter wave antenna by using the spread source, through the deconvolution algorithm and the noise suppression technology, the problem of insufficient precision in pointing calibration of an existing millimeter wave radio telescope is effectively solved, the calibration precision of the radio telescope is remarkably improved, and the development of high-frequency-band radio astronomical observation is promoted.

Embodiments of the invention disclose a chip calibration method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a target process corner category of a target event camera chip; acquiring target working temperature information of the target event camera chip; a calibration data set is obtained, a target calibration scheme of the target event camera chip is selected from the calibration data set based on the target process corner category and the target working temperature information, and the calibration data set covers a data mapping relation among the process corner category, the working temperature information and the calibration scheme; and calibrating the target event camera chip based on the target calibration scheme. Therefore, the target calibration scheme is determined according to the process corner category of the event camera chip and the working temperature information of the event camera chip, the target calibration scheme is called, and the event camera chip is quickly and effectively calibrated, so that the performance of each event camera chip with different process corners in different temperature scenes meets application requirements, and the user experience is improved.