22 results about "Full scale" patented technology

The invention relates to the technical field of automatic control, and discloses a pressure closed-loop self-calibration method for an ultrahigh-speed jet injection process, and the method comprises the steps: initializing a system, and building a pressure and temperature combined compensation model; a high-precision sensor is used for collecting real-time pressure and temperature data; by calculating a pressure deviation intelligent switching control strategy, PID is combined with feed-forward compensation in a steady state, and a deep reinforcement learning algorithm is switched to realize quick response in a transient state; automatically triggering closed-loop self-calibration according to operation time or a deviation threshold value, executing zero point and full scale calibration and updating compensation parameters; and carrying out residual analysis by using a digital twinborn model to realize fault diagnosis and early warning. According to the invention, the problems of low control precision and poor long-term stability of an ultra-high-speed jet flow process under nonlinear and large-lag working conditions are solved, and high-precision stable control and system self-adaptive calibration under a wide speed range are realized.

The invention provides a portable respiratory flow measuring instrument calibration method and system, and the method comprises the steps: sequentially connecting a gas generation device, a to-be-calibrated portable respiratory flow measuring instrument and a high-precision gas flow calibration instrument in series, constructing a stable gas flow channel, and ensuring that gas flow sequentially flows through each instrument; starting a gas generation device, and synchronously acquiring data after the gas flow is stable, namely an original measurement physical quantity vector x, a theoretical flow value and actual flow data; repeating the acquisition process to obtain a data set covering the full scale; the collected data are input into terminal equipment, a proper machine learning algorithm is selected for training according to the instrument principle, the target is to learn the relation between x and x, and a flow function which is applicable to the full scale and finally forms correction is obtained; in actual operation, the instrument calculates theoretical flow through x collected in real time, the trained flow is called for correction, and a high-precision flow value is output. The technical problems that in the prior art, equipment is complex, cost is high, operation is tedious, efficiency is low, intelligence and precision are insufficient, and scene adaptability is single are solved.

The application discloses a MEMS accelerometer centrifugal test structure, system and method, the structure comprises a centrifugal transfer tool, a centrifugal test tool turntable, a test transfer tool, a chip test board and a plurality of clamp mechanisms; the system comprises a centrifugal machine turntable and eight MEMS accelerometer centrifugal test structures; the method is suitable for the MEMS accelerometer centrifugal test system, realizes test and full-scale calibration of the accelerometer chip, obtains indexes of zero offset and nonlinearity, and evaluates cross-axis crosstalk of the accelerometer chip; through the test tool turntable, forward and reverse tests of the accelerometer full scale are realized without disassembly; the cross-shaped test board is provided with X and Y direction clamps, X, Y and X-Y dual-axis accelerometers can be tested and cross-axis crosstalk can be evaluated, and the system has strong versatility; the clamp is integrated on the circuit board, cable damage is prevented, and safety is higher; the structure is integrated and adapted to batch production, the clamp is easy to install and compatible with multiple can sizes, and test efficiency is further improved.

This application discloses a method, apparatus, device, and medium for reading hydraulic gauges, relating to the field of computer technology. The method includes: constructing a dataset of original hydraulic gauge images, each marked with preset anchor points; training a YOLO detection model using the dataset to obtain a hydraulic gauge reading detection model based on optimal weights; processing the target hydraulic gauge image using the hydraulic gauge reading detection model to obtain target coordinates; the target coordinates include the target zero-scale coordinates, the target full-scale coordinates, the target pointer tip coordinates, and the target pointer rotation center coordinates; calculating the rotation angle ratio corresponding to the target angle with the target pointer rotation center coordinates as the origin based on the target coordinates; and multiplying the rotation angle ratio by the full-scale physical value of the hydraulic gauge to obtain the final hydraulic gauge value; the target angle is the angle from zero scale to the pointer tip; and the rotation angle ratio is the proportion of the target angle in the total rotation angle of the hydraulic gauge. This method can improve the accuracy of hydraulic gauge readings.

The present application relates to oil pump switching control technical field, specifically to a kind of unit lubrication system oil pump undisturbed switching control method, comprising the following steps: based on the fluctuation tolerance interval of pipe network pressure and wide limit constant, monitoring real-time hydraulic generation pipe network deviation record, compiling action instruction message obtains linkage ratio, position matching full scale is issued start-stop instruction to obtain oil pump undisturbed switching control strategy under waiting.The present application, by extracting oil pump operating pipe network fluctuation wide limit constant constructs reference operation hydraulic boundary to demarcate safe fluctuation tolerance interval, based on the trend label dynamic matching step or frozen signaling of real-time measurement constant, compiling double-channel action instruction message real-time adjustment main and vice line servo valve linkage ratio, after valve position matching full scale, only then issue start-stop instruction, effectively eliminate the hydraulic sudden change risk caused by hard switching, avoid the oil supply instability problem caused by intense impact effect in pipe, effectively guarantee the undisturbed smooth handover of main and standby oil pump.

The application discloses a kind of whole machine resistance touch screen linearity test methods, belong to touch screen test technical field;The method comprises: the effective touch area of resistance touch screen is divided into equal-division grid point matrix and constructs two-dimensional coordinate system;Actual coordinate matrix is constructed;The actual coordinate point of each row and each column of actual coordinate matrix is respectively handled using statistical elimination method, and the fitting ideal coordinate value of each row and each column is obtained;The fitting ideal coordinate value of each row and each column is combined according to corresponding row and column, and fitting ideal coordinate matrix is constructed;Using extreme evaluation method, the absolute deviation of each actual coordinate point and corresponding fitting ideal coordinate point is calculated, and maximum absolute deviation is used as linearity evaluation basis;Linear degree is obtained based on maximum absolute deviation and full scale;The application can be directly applied to whole machine without disassembling resistance touch screen, avoids screen body breakage and other component damage caused by disassembling resistance touch screen, reduces material cost and labor cost.

The invention discloses a calibration method of a laser methane sensor, which comprises the following steps: a, pre-calibration: calibrating a reading corresponding to the detector output x of the laser methane sensor to be calibrated as y, the reading being a display value of the laser methane sensor to be calibrated; b, fixed-point calibration: respectively adopting standard methane concentration gases with the concentrations of yi and yj for fixed-point calibration; c, verifying; d, carrying out segmented calibration; and e, circulating or ending. Wherein the zero point and full scale calibration of the laser methane sensor is carried out during pre-calibration, and the calibration is carried out by adopting standard methane concentration gas of each concentration point. According to the invention, the problem of linearity of the laser methane sensor can be effectively solved, and the measurement precision of the laser methane sensor is improved.

The application discloses an automatic identification and reading method of a precise pointer type instrument which is not interfered by light, and comprises the following steps: step A, image pre-processing; step B, correcting a dial image; step C, detecting a pointer direction of the dial; step D, detecting positions of a zero scale line and a full scale line of the dial; and step E, calculating a reading of the instrument. The application indirectly corrects a circular image based on local invariant features of the image, improves the accuracy of the automatic reading method, and detects a pointer line segment based on an improved Hough line detection algorithm, so that the pointer position can be more accurately detected, and the application has high robustness and practicability.

The invention relates to an adjustable constant current source high-precision calibration method and device based on gesture interaction. According to the method, a gesture instruction of a user is received through a rotary encoder which is a simple and visual man-machine interaction interface, the zero setting and full scale calibration process is automatically completed by a microcontroller, and a digital mapping model is established. Calibration parameters are stored in a nonvolatile memory, and the equipment can be automatically loaded and put into high-precision work after being electrified again. A traditional analog potentiometer is completely abandoned, the three problems of low calibration efficiency, large temperature drift and poor reliability are solved, the calibration time is shortened to be within 30 seconds, the precision is improved to + / -0.5 mA, and the production efficiency and the long-term stability of products are remarkably improved. The precise current output circuit can be widely applied to various devices needing precise current output.

This application relates to the technical field of gas concentration detection, and in particular to a method and apparatus for improving detection sensitivity using the TDLAS nonlinear effect, comprising the following steps: S1: Measuring the signal response of the gas to be tested within a concentration range from zero to full scale, obtaining a nonlinear curve characterizing the relationship between the signal and the gas concentration; S2: Piecewise fitting of the nonlinear curve, selecting a suitable concentration range as the starting point for measuring the gas concentration based on the change in the slope of the linear fitting for each concentration interval, and determining the gas concentration measurement interval by combining the range of gas concentration variation; S3: Filling a background gas chamber with the gas concentration value equal to the starting point for measuring the gas concentration; S4: Passing a laser through the background gas chamber and the measurement gas chamber, calculating the sum of the gas concentrations in the two chambers, subtracting the gas concentration in the background gas chamber, and obtaining the concentration of the gas to be tested in the measurement gas chamber. This application can effectively improve detection sensitivity.

The utility model relates to the technical field of harmonic detection, in particular to an integrated plug box and a harmonic elimination monitoring system. The side wall of the accommodating frame is fixedly provided with a connecting assembly; the connecting assembly comprises a voltage and current acquisition port, an input port and an output port. The voltage acquisition loop comprises a clamping protection module and a signal conditioning module and is used for monitoring and inputting real-time voltage; the current acquisition loop comprises a signal conditioning module, a current transformer is connected to one end of the signal conditioning module, and real-time current is monitored and recorded; the input end of the digital-to-analog conversion module is connected to the signal conditioning module, and the output end pin of the digital-to-analog conversion module is connected to the CPU. According to the scheme, allogeneic hanging rail type side wall installation and modular design connection are adopted, the size is reduced by 40%, dense installation is supported, and MTBF is larger than 100,000 hours; the precision is higher, the voltage / current measurement precision reaches 0.5%, the phase error is smaller than or equal to 1 degree, the temperature drift is smaller than 1% of a full scale, long-term monitoring and transient fault capture can be both considered, and accurate analysis after the detection process is finished is supported.

The application discloses a kind of full-view image metering live oil solid deposition test methods in the field of crude oil solid deposition, step 1, image pre-processing;Step 2, image detection and identification;Step 3, man-machine interaction;Compared with prior art, the beneficial effects of the present application are that the image metering and particle size test of the whole process of solid phase particle generation and growth in the process of crude oil high pressure physical property test are solved, the traditional solid deposition can only be qualitatively analyzed, the quantitative analysis of the whole process and full scale of solid deposition particles is achieved, the image metering and particle size test of the whole process of solid phase particle generation and growth in the process of crude oil high pressure physical property test are solved, the traditional solid deposition can only be qualitatively analyzed, the quantitative analysis of the whole process and full scale of solid deposition particles is achieved;The geometric properties of solid phase can be greatly reduced by using computer vision technology to automatically and quantitatively analyze the solid phase, and the work efficiency is improved.

A bar direct rolling full-multiple-length closed-loop control method comprises the steps that after a bar direct rolling production line starts production, direct rolling comprehensive data are collected in real time, and the direct rolling comprehensive data comprise tailing data; after it is determined that the bar direct rolling production line operates stably based on the direct rolling data, waste data are calculated based on the tailing data; generating feedback control data based on the waste data, wherein the feedback control data comprises fixed-length correction data and steel billet correction data; and the bar direct rolling production line is adjusted in real time based on the fixed-length correction data and the steel billet correction data. The invention provides a bar direct rolling full-multiple-length closed-loop control method and a closed-loop control system, which can realize full-flow closed-loop adjustment of a full-multiple-length direct rolling process, improve the yield and reduce the waste steel loss.

The invention discloses a counter DA full-scale non-feedback acquisition type ADC, and the ADC comprises a counter module which is used for only adding and not decreasing counting, returning to zero after full scale, and carrying out the cyclic counting again; the DA1 detection module is connected with the latch module of the counter and is used for converting the digital signal of the counter into an analog signal; the positive input end of the comparator module is connected with an output signal of the DA1 detection module, the negative input end of the comparator module is connected with a reference signal, and the comparator module is used for triggering the latch module to latch the current digital value of the counter module when the high level is output; by adopting a non-feedback architecture design, the ADC avoids the problem of iteration delay of a traditional successive approximation type or sigma-delta type ADC, and the conversion speed is remarkably improved; the one-way counting characteristic of the counter module is combined with the synchronous triggering mechanism of the latch module, so that the signal acquisition process is more efficient and direct, and the system is particularly suitable for high-speed data acquisition scenes.

The method, device, equipment and medium provided by the embodiment of the present disclosure include: acquiring scanning data corresponding to a first group of test scanning parameters of a detector under a parameter value corresponding to a preset full scale range, wherein the test scanning parameters include a test scanning frequency and a test CT tube KV value; determining a maximum scanning value in the scanning data received by the detector; when the maximum scanning value in the scanning data does not satisfy a preset scanning value range, sequentially increasing a division interval of the preset full scale range according to a division interval of a full scale range of an AD chip until the maximum scanning value in the scanning data collected by the detector satisfies the preset scanning value range. The full scale range of the AD chip under different scanning parameters is determined according to the scanning data collected by the detector, so that the CT scanning equipment has the best signal-to-noise ratio in actual application.

The invention discloses a nonlinear angular differential compensation method for a household combustible gas detector, and belongs to the technical field of gas detection. The method comprises the following steps: calibrating a zero point in clean air, and obtaining a calibration midpoint and a full scale point; calculating an angle differential value and a concentration differential value based on the origin of coordinates, the zero point, the calibration midpoint and the full scale point; on the basis of the concentration differential value and the angle differential value, the value of a coefficient to be solved is calculated through a trigonometric function relation and an angle differential formula; and calculating the combustible gas concentration value of the to-be-measured coordinate point according to the solved value of the to-be-solved coefficient and a concentration differential formula. According to the invention, through an angle differential mapping mechanism and cotangent second-order number fitting, the detection precision is improved to a fire-fighting standard limit, and the method is suitable for all non-linear gas sensors.

The present invention relates to the field of analog-to-digital conversion technology, and provides an analog-to-digital conversion system, an automatic gain selection method, and a gain deviation calibration method. The analog-to-digital conversion system includes: a main analog-to-digital converter, an auxiliary analog-to-digital converter, a gain selection module, and a recovery module. The main analog-to-digital converter and the auxiliary analog-to-digital converter both include sampling capacitors and conversion capacitor arrays. The auxiliary analog-to-digital converter samples the input signal simultaneously with the main analog-to-digital converter, and the auxiliary analog-to-digital converter preferentially pre-converts the sampled signal to obtain a pre-conversion result. The gain selection module is used to determine the position of the current input signal in the full scale of the main analog-to-digital converter according to the pre-conversion result of the auxiliary analog-to-digital converter, thereby determining the number of sampling capacitors that the main analog-to-digital converter needs to connect to sample the current input signal, so as to adjust the gain of the main analog-to-digital converter. The present invention can ensure that each sampling point does not cause ADC overload or accuracy reduction, and ensure that all signals can obtain high-precision sampling.

A method for wireless communication at a distributed unit (DU) and related apparatus are provided. In the method, the DU receives a first open radio access network (O-RAN) fronthaul packet from a radio unit (RU). The UE iteratively applies one or more full scale (FS) offset values from a defined range of FS offset values for a compression type and a corresponding In-phase / Quadrature (I / Q) bitwidth of the compression type for the first O-RAN fronthaul packet from the RU until a metric is met. The DU further receives one or more fronthaul packets from the RU and processes the one or more fronthaul packets from the RU based on an FS offset value identified based on the metric being met.

This document describes techniques and systems for enabling more-accurate single-point radar cross section (RCS) approaches for radar simulations without introducing orders of complexity. For automotive radar applications, considering variations in RCS radial patterns, with both angle and range, and because of analytically calculated multi-path effects and near-field RCS effects improves simulation accuracy by incorporating multi-path phenomenon that is present due to ground reflections. The described techniques are performed without using full scale ray-tracing or other computationally demanding techniques.

The embodiment of the application belongs to the technical field of artificial intelligence and financial technology, is applied to the field of robot intelligent dialogue application, relates to a dialogue question rewriting method and device, a computer device and a storage medium, and comprises receiving a question and answer context text sent by a dialogue question rewriting request end; inputting the question and answer context text as an input text into a dialogue question rewriting model, performing text rewriting on the latest question text according to the historical dialogue text; obtaining the latest question text after rewriting and outputting the latest question text to a respondent in the current dialogue scenario, which can not only accurately classify the intention features of characters in the question and answer text by using the advantages of a U-net neural network, but also explore sufficient text semantic information from multiple angles and full scales of the historical question and answer text by using the advantages of a deeplabv3 neural network, more accurately complete the omission of user information, enrich the semantic of user questions, enhance the understanding ability of the dialogue robot to the user intention, and improve the solution rate of user questions.

This invention discloses a deep learning-based intelligent detection and reading method for dashboards, belonging to the field of dashboard detection technology. It is highly intelligent and automated, achieving simultaneous recognition of the dashboard body and scale markings through multi-target collaborative detection technology. No manual configuration of parameters such as scale range is required, and the system's automation level reaches an industry-leading level. Compared to traditional methods, deployment efficiency is improved by 80%, and maintenance costs are reduced by 60%. It boasts excellent recognition accuracy, employing an integrated OCR recognition engine and intelligent voting mechanism, achieving a scale value recognition accuracy of over 98.5% even in challenging scenarios such as complex lighting, small fonts, and low resolution. The geometrically constrained pointer positioning algorithm enables angle measurement accuracy to reach ±0.5°, and reading errors are controlled within ±1% of full scale, meeting the requirements of high-precision industrial applications.

The application discloses a satellite electromagnetic docking process generalization simulation method based on FCNN and belongs to the field of spacecraft electromagnetic docking dynamics simulation, and comprises the following steps: firstly, magnetic field data of different types of electromagnetic actuators under random excitation current is generated through finite element simulation, an FCNN-D model is constructed and trained, and prediction from actuator parameters, spatial position and current input to magnetic field strength is realized; secondly, force data of the actuator in an external magnetic field is collected, an FCNN-F model is constructed to predict electromagnetic force / torque with the actuator type, pose and current as input; subsequently, dynamics simulation is carried out, the force / torque calculated by the FCNN-F is input step by step, electromagnetic force is calculated according to the current pose in each simulation, and the satellite pose is updated until the boundary condition is met; finally, the docking process is visualized. The application utilizes FCNN to avoid the electromagnetic force / torque model, solves the defect that the application scale of electromagnetic simulation is limited, and obtains an electromagnetic docking simulation method with "full scale" and "high precision".