7results about How to "Consistent time" patented technology

The utility model relates to a circulating system of a roll type photographic film developing liquid pool and a developing machine with the circulating system, and the circulating system of the roll type photographic film developing liquid pool comprises a main liquid medicine tank body, an auxiliary liquid medicine tank body, a main liquid medicine outlet circulating pipe, an auxiliary liquid medicine outlet circulating pipe, a circulating communicating pipe, a one-way valve and a circulating pump, an overflow opening is formed in the upper end of the main liquid medicine tank body and communicated with the auxiliary liquid medicine tank body, the one-way valve is installed on the auxiliary liquid medicine outlet circulating pipe, the inlet end of the circulating communicating pipe is connected with the auxiliary liquid medicine tank body, the bottom of the auxiliary liquid medicine tank body and the upper portion of the main liquid medicine tank body, and the circulating pump is installed on the circulating communicating pipe. According to the utility model, the problem of unstable flushing quality caused by unstable liquid level in the prior art is solved by adopting a circulating mode of extracting liquid from the bottoms of the main liquid medicine tank body and the auxiliary liquid medicine tank body and then pumping the liquid medicine into the main liquid medicine tank body and combining with the arrangement that the liquid medicine in the main liquid medicine tank body flows into the auxiliary liquid medicine tank body through the overflow port at the top end of the main liquid medicine tank body after being full of the liquid medicine.

This application discloses an image sensor, which includes a pixel array, a control module, and a data line. The pixel unit in the pixel array includes a first pixel circuit, a second pixel circuit, and a row selection transistor. The first pixel circuit and the second pixel circuit in the pixel unit are connected to the data line through the same row selection transistor. The first pixel circuit is connected to a shared pixel unit through a reset transistor, and the second pixel circuit is connected to the shared pixel unit through a reset transistor. The control module is used to output a target control signal to control the delay in entering the charge clearing stage when the pixel row including the pixel circuit completes quantization control. This ensures that the time or speed at which the image sensor establishes reset nodes between different pixel rows is kept as consistent as possible during row-by-row quantization, thereby enabling the image sensor to complete quantization better.

The invention belongs to the technical field of target positioning, and particularly relates to a ground target positioning method fusing unmanned aerial vehicle multi-view images and laser ranging, which comprises the following steps: calibrating a camera and a pulse laser range finder, and determining internal and external parameters of each sensor and the mounting position and direction of the laser range finder; detecting a two-dimensional pixel coordinate of the tracking target; carrying out Gaussian positive calculation on a given geodetic coordinate system to a space rectangular coordinate system; preliminarily resolving the three-dimensional coordinates of the target; the pulse laser range finder works synchronously, measures the distance from a target to the unmanned aerial vehicle in real time, combines the target distance measured by the laser range finder as an input parameter with feature point position information detected by a camera of the unmanned aerial vehicle, comprehensively processes two-dimensional image coordinates and distance data, and calculates three-dimensional coordinates; based on the preliminary positioning result, the three-dimensional coordinates of the target are further optimized through an iterative algorithm; and carrying out Gaussian back calculation on a three-dimensional solution positioning result in the space rectangular coordinate system to a geodetic coordinate system for display.

The present application relates to the technical field of digital twinning, and discloses a digital twinning analysis method for the corrosion resistance of a suspension damping bushing. The method obtains vibration displacement time series data and multi-dimensional corrosion factor sequence data of the suspension damping bushing; the corrosion factor sequence is resampled in the time dimension with a vibration period as a reference, and the corrosion factor data is mapped to the spatial coordinate nodes of a three-dimensional digital twinning grid model of the bushing in the spatial dimension, to generate a spatio-temporal aligned multi-physical field fusion data set; the fusion data set is input into a digital twinning model, the correlation between stress transmission characteristics and corrosion medium diffusion characteristics between grid nodes is extracted by a graph neural network, and corrosion layer degradation state data is output. The present application eliminates the spatio-temporal misalignment error between vibration data and corrosion data, enables the digital twinning model to reflect the physical mechanism of alternating stress accelerated corrosion, overcomes the prediction distortion defects caused by independent channel analysis, and improves the accuracy and reliability of corrosion resistance evolution analysis.

The invention provides a salvia miltiorrhiza yield-quality double-target prediction method based on a multi-source remote sensing image. The method comprises the following steps: acquiring and preprocessing an original optical remote sensing image and an original synthetic aperture radar image in a growth period of salvia miltiorrhiza in a target area to obtain a first optical remote sensing image and a first synthetic aperture radar image; performing structural feature enhancement on the first optical remote sensing image by using a multi-attribute constrained image enhancement diffusion model to obtain a second optical remote sensing image; detecting the key growth period of salvia miltiorrhiza based on the first synthetic aperture radar image and the second optical remote sensing image; taking the first synthetic aperture radar image and the second optical remote sensing image corresponding to the key growth period of salvia miltiorrhiza as the input of the multi-mode spectrum-structure inversion model, and predicting the content of effective components of tanshinone IIA and salvianolic acid B and the plant yield; evaluating the content of effective components of tanshinone IIA and salvianolic acid B and the plant yield, and outputting a salvia miltiorrhiza yield-quality estimation map and a grade distribution map of the target area.

This application belongs to the field of screen device technology, and particularly relates to a flip screen and an automobile. The flip screen includes: a control module; a power unit including an output shaft; a screen assembly including an assembly box and a screen, the screen being mounted in a mounting slot of the assembly box, the output shaft being drivenly connected to the assembly box, and the assembly box having a storage position; an angle detection mechanism for detecting the rotation angle of the assembly box; and at least one locking mechanism, wherein the control module controls the locking mechanism to lock the assembly box when it controls the output shaft of the power unit to flip the assembly box to the storage position. The technical solution of this application solves the problem that existing flip screens, after a period of use, suffer from flipping delay or rotational play, causing the locking tongue to extend prematurely before the flip screen has reached the storage position, resulting in poor consistency and coordination between the flipping and locking processes.

The invention relates to a vehicle-road collaborative dynamic point cloud compensation fusion method, device and equipment and a medium. The time relation between the vehicle end point cloud and the roadside point cloud is calculated, the local motion field constructed based on the vehicle end point cloud is combined, explicit time compensation is carried out on the roadside point cloud acquired in a lagging mode, and the asynchronous point cloud can be accurately synchronized to the current moment of the vehicle end. On the basis, point cloud registration is carried out, and dynamic feedback correction is carried out on a motion model by using geometric residual errors, so that parameters of a motion field can be converged to an optimal state in real time, and compensation error accumulation caused by nonlinear motion of the target is avoided. And finally, the roadside point cloud is optimized according to the optimal parameter and is fused with the vehicle end point cloud, so that the system obtains the global point cloud with consistent time, consistent space and high-fidelity geometric structure, and the precision, stability and reliability of a V2X sensing result are improved.