15results about How to "Reduce random error" patented technology

The application relates to a multi-aperture imaging space remote sensing target positioning optical system and a calibration method, and relates to the field of remote sensing and aerospace imaging optical instruments. The application solves the contradiction between the requirements of a large field of view and high resolution imaging of a traditional single-aperture optical imaging system, and realizes accurate positioning of a target to meet the intelligent requirements of a multi-aperture optical imaging system. The multi-aperture imaging space remote sensing target positioning sub-aperture imaging optical system comprises an electromagnetic vibration mirror, a beam-reducing telescope group, a fast reflection mirror and a rear focusing mirror group. The beam-reducing telescope group and the rear focusing mirror group are connected through the fast reflection mirror, and the light beam is connected with an imaging branch through the electromagnetic vibration mirror. After the imaging light beam passes through the telescope system, the imaging light beam is reflected by the fast reflection mirror and focused on a detector to form an image. The application is also suitable for a mobile platform for fast positioning and high-precision capturing of a dynamic target in the field of industrial precision machining and space remote sensing.

The application discloses a method for obtaining a left ventricular papillary muscle target section and an ultrasonic evaluation method thereof, which comprises obtaining a standard basic section conforming to a guideline, and then determining a corresponding target section and a two-dimensional ultrasonic probe adjustment mode according to a front-lateral or rear-medial papillary muscle type to be imaged and a current standard basic section. Through taking the probe pose when the standard basic section is obtained as a benchmark, the two-dimensional ultrasonic probe is rotated by a specified angle or is directionally tilted under the premise of maintaining an acoustic window unchanged, so that an image of the target section clearly displaying a specific papillary muscle long axis or short axis shape is obtained; the problem of incomplete papillary muscle imaging and distorted shape caused by the fixed section of the conventional two-dimensional ultrasonic is solved, the target section can be repeatedly and stably obtained, and the integrity and accuracy of the papillary muscle ultrasonic imaging are significantly improved.

The invention relates to the technical field of suspension bridge main cables, in particular to a method for erecting a continuous type suspension bridge main cable reference strand with an anti-sliding shear key, the reference strand is made of full-high-precision standard wires, and a continuous full-length type cable manufacturing mode is adopted. Comprising the following steps that S1, starting point mark points and terminal point mark points of all standard wires of a reference cable strand are aligned; s2, shear keys are fixedly installed at the span points of the reference cable strand, and the shear keys are matched with reserved notches of the cable saddle; s3, temporary fixing is conducted on the base line length marking position of the reference cable strand, and the reference cable strand is wound with a wrapping tape; and S4, temporary fixation is removed, the steel wires in the strands freely slide, and after the cable strands are stressed, the standard cable strands are erected with the average length naturally formed after standard wire length self-adaption as the length of the standard cable strands. According to the erecting method, the intra-strand error is effectively reduced, high-precision erecting can be achieved only by aligning the shear keys with the notches on site, sag adjustment is not needed, and the construction efficiency is improved.

The application discloses a strawberry sugar content efficient nondestructive detection method based on an intelligent algorithm, and comprises the following steps: acquiring a plurality of strawberry spectrum data and sugar content reference values, and dividing the strawberry spectrum data into a training set, a verification set and a test set; performing wavelet denoising and polynomial baseline correction on the spectrum data to obtain preprocessed data; extracting key characteristic wavelengths from the preprocessed data, and constructing an initial SVM model based on the key characteristic wavelengths; optimizing the initial SVM model by using the training set to obtain an optimized SVM model; acquiring target strawberry spectrum data, and inputting the optimized SVM model to obtain a detection result. The application realizes rapid, nondestructive and accurate detection of the sugar content of strawberries, and provides technical support for intelligent development of the strawberry industry.

The invention belongs to the technical field of ship inspection, and particularly relates to a gravity center static detection device and method for an ultra-large ship block, and the device comprises a heavy-load hydraulic lifting system, a pose adjustment platform, a three-axis tilt angle sensor, a pressure sensor, a laser displacement sensor, a weighing module, an ultra-wide band positioning system and other parts. According to the method, a distributed measurement mode is adopted, accurate and controllable oblique supporting force is introduced, the supporting force size, the spatial position and the inclination angle data of all supporting points are synchronously obtained, and the barycentric coordinates of the ship segments in the three-dimensional space are comprehensively solved, so that the problem that the barycentric height of the ultra-large ship segments is difficult to accurately measure is solved. In the whole detection process, ship sections do not need to be suspended or inclined, and static and safe measurement of the three-dimensional gravity center is achieved. The multiple detection devices are arranged in a distributed mode and can flexibly adapt to ship segments of different sizes, system errors and random errors are effectively reduced, and the detection precision is remarkably improved.

The application discloses a method for determining the content of combustible gas in steam. The sample is collected by the drainage gas collection method: the gas collection container filled with distilled water is inverted in the sink, steam is introduced to condense, the original water in the bottle is replaced and discharged by using the condensed water, so that the non-condensable combustible gas is collected at the top of the bottle, and the air is isolated by the water seal. Then, the standardized syringe sampling is carried out: after being cleaned and lubricated for multiple times, the airtight syringe is used to pass through the bottle plug and draw a certain amount of gas under the liquid surface, and is quickly sealed to avoid pollution. Finally, the sample is analyzed by the gas chromatograph, and the content of the combustible gas in the steam is quantitatively calculated based on the calibration curve or the correction factor established based on the known concentration standard sample. The application has the advantages of strong anti-interference, standard operation, good sample representativeness and low cost, and is especially suitable for accurate monitoring of low-concentration combustible gas.

The invention discloses a medical image segmentation method and system based on diffusion difference learning, and relates to the technical field of image processing. Comprising the steps of obtaining a medical image data set; inputting the medical image data set into a diffusion generation model taking the class activation graph corresponding to the medical image as a visual priori condition to obtain diffusion semantic noise corresponding to the same medical image and different class labels; obtaining an initial semantic segmentation result according to diffusion differences between diffusion semantic noises corresponding to different categories of labels; carrying out thresholding binarization processing on the initial semantic segmentation result to obtain a plurality of initial segmentation masks of the same medical image; and fusing all the preliminary segmentation masks to obtain a segmentation result set of the medical image. According to the method, the class activation graph is used as visual priori knowledge, the insufficient coverage of the class activation graph is compensated through a condition generation mechanism, and the robustness and integrity of a segmentation result are improved.

The invention discloses a dual-system time synchronization method and device, a storage medium and a program product, and relates to the technical field of data transmission, and the method comprises the steps that a first system obtains timestamp information of data transmission between the first system and a second system, the timestamp information at least comprises a first timestamp and a second timestamp for data transmission from the first system to the second system, and a third timestamp and a fourth timestamp for data transmission response from the second system to the first system, and determining the time delay length between the first system and the second system according to the timestamp information, and sending the first time point and the delay duration of the first system to the second system. The first time point is a time point when the first system transmits the delay duration to the second system in a one-way mode, and the second system carries out time synchronization processing based on the received first time point and the delay duration. According to the invention, the precision of dual-system time synchronization is improved.

The present application relates to the technical field of engine life prediction, in particular to an engine life prediction method based on multi-head attention, which first normalizes the original data of the aero-engine sensor and eliminates redundant features; then realizes time-space double-dimension adaptive weighting through the multi-head attention mechanism, and strengthens the key degradation information; then inputs the weighted data into the long short-term memory network to learn the long-time dependence relationship, and completes the preliminary prediction of the remaining useful life; finally, combining Monte Carlo regularization and kernel density estimation, multiple prediction values are generated and the uncertainty is quantified, and the mean value is taken as the final prediction result. Experimental verification shows that this method effectively highlights the key degradation features, reduces the influence of uncertainty, and significantly improves the prediction performance under single working condition and multiple fault modes, providing reliable data support for preventive maintenance of aero-engines.

The application discloses a kind of Ritchey angle in situ detection method based on laser tracker, and main steps are as follows: (1) set up large aperture plane mirror Ritchey-Common test optical path;(2) collimation method calibrates system main optical axis;(3) calibrates laser interferometer focal point position with target ball and records with tracker;(4) hand-held target ball carries out feature point sampling to the mirror surface and its outer contour of the mirror to be measured and modeling;(5) fit out mirror surface center point of the mirror to be measured, connect the focal point of the interferometer positioned with mirror surface center point as main optical axis, calculate the angle between main optical axis and plane mirror normal, i.e.Ritchey angle.The method of the application can more accurately and objectively measure Ritchey angle, has small dependence on artificial, hardware or software algorithm, can be applied to plane mirror of various shapes, improves positioning precision, and reduces random error.

The invention discloses a hardness characterization method based on a magnetostriction mechanism ultrasonic transverse wave resonance method, which realizes nondestructive testing and evaluation of material hardness by utilizing the sensitivity of the hardness of a ferromagnetic material to magnetoacoustic conversion efficiency. The method comprises the following steps: measuring a magnetoacoustic transduction curve under the condition of a stepped bias magnetic field by using a magnetostrictive transverse wave sensor; extracting sensitive characteristic parameters from the curve, and establishing a prediction model between the characteristic parameters and the material hardness; and realizing quantitative lossless characterization of the material hardness based on the prediction model. The method does not need a coupling agent, is good in surface state adaptability, and improves the energy efficiency and measurement stability of the electromagnetic ultrasonic transducer by means of the electromagnetic ultrasonic resonance technology and the stepped bias magnetic field design. The method is suitable for hardness detection of in-service ferromagnetic components, and provides support for evaluation of wear resistance and service life of materials.

The application relates to the technical field of liquid level measurement, in particular to a liquid level measurement data processing method and system based on a liquid level sensor and the liquid level sensor, the method comprising the following steps: S1. constructing a liquid level measurement optical system and collecting liquid level measurement data in real time; S2. obtaining a liquid level measurement noise interference degree evaluation value through processing, comprehensively analyzing a liquid level measurement data demand correction index, and correcting the liquid level measurement data according to the liquid level measurement data demand correction index; and S3. comprehensively analyzing a liquid level measurement data correction effect parameter, evaluating and feeding back the corrected liquid level measurement data, the application can provide a basis for liquid level measurement data correction by providing a liquid level measurement data processing method and system based on a liquid level sensor and the liquid level sensor, the effective data correction can ensure that the liquid level measurement data is more accurate and reliable, and the frequent calibration and maintenance of the liquid level sensor can be reduced.

The invention relates to the technical field of flame image processing and temperature detection, and discloses an in-furnace three-dimensional temperature field distribution detection method based on color flame image processing. The method comprises the following steps: acquiring a color flame image sequence in a furnace, after preprocessing and feature extraction, dividing the space in the furnace into a plurality of sub-regions, and calculating the initial temperature; by monitoring the dynamic characteristics of color fluctuation, brightness change and the like of each sub-region in the image sequence, the influence degree of the dynamic characteristics on the overall temperature field in the furnace is evaluated, and the weight is allocated according to the influence degree. And finally, in combination with the initial temperature value and the weight, a three-dimensional temperature field is reconstructed through a data fusion algorithm. According to the method, dynamic analysis is introduced into temperature measurement, random errors introduced by combustion pulsation are effectively restrained through reliability weighted fusion, and the accuracy and the anti-interference capacity of a temperature field distribution model are improved.

The invention discloses a space object attitude symmetric multi-solution analysis method and related equipment, and relates to the technical field of space object radar data processing, and the method comprises the steps: obtaining an inverse synthetic aperture radar sequence image of a space object, and dividing the sequence image into a plurality of image groups; obtaining an attitude solution set corresponding to each image group; calculating a stability measurement value of each solution in each attitude solution set, wherein the stability measurement value is changed among all image groups; and screening out the solution with the highest stability from all the solutions of all the attitude solution sets as the final true value attitude of the space object. According to the method, the problem that the truth value and the symmetric solution are difficult to distinguish in the prior art is solved, unique and reliable estimation of the attitude of the space object is realized, and interference caused by symmetric multiple solutions is effectively eliminated.

This invention relates to a method, apparatus, and device for anti-angle misjudgment angle measurement based on vortex electromagnetic waves, and relates to the field of radar signal processing technology. The method includes: using a circular array as a transmitter, generating and transmitting multiple modes of vortex electromagnetic waves to illuminate the target, obtaining echo signals; selecting a dual-mode combination, processing the echo signals corresponding to the combination to obtain angle measurement values ​​corresponding to each combination; calculating the error between any two sets of angle measurement values, comparing each error with a preset threshold to determine if angle misjudgment exists; if all errors are within the preset threshold, it is determined that there is no angle misjudgment, and the preset angle measurement value is output as the target angle measurement result; if an error exceeds the preset threshold, it is determined that there is angle misjudgment, and the unaffected measurement values ​​are filtered by the consistency and difference of each set of angle measurement values, and the target angle measurement result is output. This invention can achieve robust, continuous, and accurate measurement of target angles in complex interference environments.