45 results about "Distance sampling" patented technology

The invention discloses a method for estimating the direction of arrival of a radar low-elevation target, which mainly solves the problem of large calculation of the estimation of the direction of arrival of the low-elevation target in the prior art. The method comprises the following steps of: 1, transmitting a group of narrowband phase reference pulse signals with bandwidth of not exceeding 1 percent of carrier frequency; 2, receiving radar echo data by using a uniform line array; 3, carrying out beam forming on the radar echo data, wherein the beam points 0 degree; 4, measuring a distance sampling unit and a Doppler channel in which a target is disposed; 5, re-accumulating the received radar echo data according to the obtained distance sampling unit and the Doppler channel; 6, constructing a matrix beam by using the re-accumulated data; and 7, solving the direction of arrival of the target for the constructed matrix beam by adopting a total least square method of generalized eigenvalue decomposition.

The invention discloses a machine vision image characteristic point detection and matching combination optimization method. The method mainly comprises the steps of firstly obtaining a template image and a search image, and splicing the template image and the search image into a workpiece image; secondly performing characteristic point detection on the workpiece image to obtain P characteristic points; thirdly performing characteristic point description on the P characteristic points separately, namely, selecting any characteristic point as a center for constructing a pixel block image, and performing Gaussian filtering on sampling points contained in the pixel block image separately to obtain a sampling point pair corresponding to the characteristic point so as to obtain sampling point pairs corresponding to the P characteristic points and sampling point pair distances corresponding to the P characteristic points; and fourthly obtaining corresponding aggregated model directions of long-distance sampling point pairs and corresponding binary descriptors of short-distance sampling point pairs, performing matching identification on the P characteristic points separately, calculating an affine transformation parameter between the template image and the search image, obtaining three-dimensional coordinates of a target workpiece in the search image, and performing accurate capture.

The invention discloses a flatness measuring instrument and method. The flatness measuring instrument consists of two parts, namely an upper computer and a lower computer, wherein the upper computer and the lower computer are in communication by a controller area network (CAN) bus; the lower computer is connected with a distance measuring sensor and an acceleration sensor; the lower computer samples the change of road elevation detected by the distance measuring sensor and acceleration data detected by the acceleration sensor, records the interval time of two sampling and performs filtering processing on the acceleration data; the upper computer is connected with a rotary encoder for detecting distance information, detects a sampling distance signal, generates a fixed distance sampling interruption signal and a time interrupt signal and calculates and stores IRI data. The laser flatness detection system is applied to detection on the flatness of expressway bituminous pavements and has the advantages of high detection speed, accurate calculation, automatic data acquisition and result analysis and the like.

The invention proposes a mobile terminal and a method for tuning an antenna. The method comprises the following steps: receiving a transmitting signal of a transmitting antenna and detecting the strength of the received transmitting signal; and if the strength of the received transmitting signal is lower than a set threshold value, then adjusting the strength of the transmitting signal of the transmitting antenna to a preset value by adjusting a tuning matching parameter of the transmitting antenna. According to the mobile terminal and the method for tuning the antenna provided by the invention, real-time near-distance sampling can be carried out on the spatial distribution strength of radiation signals of the transmitting antenna, so that the actual radiation signal strength of the antenna is monitored, the antenna tuning matching adjustment precision is further improved, and the communication quality of the mobile terminal is improved.

The invention relates to an energy efficiency analysis method of interlocking equipment. The energy efficiency analysis method comprises: data sampling: carrying out equal-time and equal-distance sampling on energy consumption correlation parameters of at least two sets of equipment in the interlocking equipment, so as to obtain sampled data within certain time; data pre-processing: carrying out the data pre-processing on the actually measured sampled data, eliminating abnormal data therein and complementing missing data; framing operation: dividing the sampled data subjected to pre-processing of each set of equipment into a plurality frames through adopting an overlapping and sectioning manner, wherein each frame corresponds to one time period with equal duration and a frame shifting length of each frame is smaller than a frame length; correlation coefficient calculation: taking the sampled data in each frame as a foundation and calculating a correlation coefficient rXY in each frame of the energy consumption correlation parameters of at least two sets of equipment in the interlocking equipment; abnormity judgment: taking a frame with the correlation coefficient lower than a judgment threshold value as an abnormal frame. The energy efficiency analysis method of the interlocking equipment, provided by the invention, can be used for assisting to check reasons for forming interlocking abnormity and guiding the equipment to be correspondingly adjusted; whole operation of a system can be more stable and more energy can be saved through adopting the method.

The invention discloses a telescopic surface water and coastal water quality sampler. In the telescopic surface water and coastal water quality sampler, a telescopic sampling rod is taken as a sampler main body; a seven-buckle bottle clamp is arranged at the front end of the sampler main body for fixing a sampling bottle; the sampling rod consists of three segments of graduated telescopic arms; two adjacent segments of telescopic arms are fixed by using a locking ring; the rear end of the telescopic rod is provided with a handle; a fixing nut is arranged at the front segment of the telescopic rod, and a connecting plate can be fixed by using a screw; the telescopic rod can be made of carbon, stainless steel or aluminum alloy, so that different load bearing conditions are satisfied. The length of the telescopic rod can be adjusted, so that horizontal-distance sampling can be performed in coastal water areas. The distance between a sampled water sample and the coast can be acquired according to graduations marks on the telescopic rod. The seven-buckle bottle clamp is arranged at the front segment of the telescopic rod, and the sampling bottle can be arranged on the seven-buckle bottle directly, conveniently and rapidly. The sampler has the characteristics of easiness and convenience in operation during water quality sampling, convenience in carrying and capability of satisfying sampling of different distances. The working difficulty is lowered for environmental detection workers. Moreover, one water sample is filled into one bottle, so that the water sample is prevented from being polluted.

The invention relates to a stepped frequency radar signal target extract method based on statistic optimum, aims to remove distance mismatching redundancy between a distance range represented by a stepping signal after distance refining IFFT and a distance range represented by a present echo sampling value, and over-sampling redundancy, and solves the problem that a 0th sampling point needs to be calibrated in both a classical algorithm abandoning method and a maximum selecting method, or else a target point cannot be sampled possibly. The key idea of the algorithm is as follows: circulation displacement algorithm is performed on the result of one frame of data after IFFT, rough distance sampling dimension overlapping is performed on aligned data, and a part of data is spliced by taking an overlapped maximum value as a center, so that both points with relatively large amplitudes in identical distance are extracted, and the problem that the 0th sampling point needs to be calibrated in the classical algorithm is also solved.

The invention belongs to the field of biotechnologies and relates to a method for preserving rubber tree leaf tissues extracted by DNA (deoxyribonucleic acid). The method comprises the following steps: placing collected rubber tree leaves in a pre-cooled mortar, and utilizing liquid nitrogen for grinding until the leaves become powder; and then transferring the powdery leaf tissues into a centrifugal tube containing storage buffer solution, uniformly mixing and placing in a low-temperature environment for preservation. The method which combines the storage buffer solution with low-temperaturerefrigeration is utilized for preserving the rubber tree leaf tissues, thereby effectively realizing the freshness of the rubber tree leaves for a long time, facilitating long-distance sampling, material transportation and storage, and having the characteristics of simplicity in process, low cost, good effects and the like.

The invention discloses a method for testing stone forest forming age and inverting river forming time. The method includes: step 1, selecting a river reach A and a stone column B to be tested; step 2, determining sampling points on the stone column B, equidistantly sampling at different elevations, and determining a sampling point every other 10cm starting from the bottom of the stone column, wherein when the last section at the uppermost end of the stone column delta hx is less than 10cm, if delta hx is more than 3cm, a sampling point needs to be set up, and the sampling points are h0, h1, h2, h3...hx; step 3, collecting samples at the sampling points; step 4, testing age of the samples at the sampling points; step 5, acquiring stone column forming time and time of a river from developing to forming according to the age of each sampling point. By the method, the technical problem that the prior art is large in error of testing river forming time and inaccurate in testing.

The invention discloses a method for testing the warping degree of a wafer, and the method comprises the following steps: (1) vertically arranging a standard flat mirror, and enabling the standard flat mirror to be parallel to the direction of gravity; (2) loading a wafer; (3) adjusting the distance between the wafer and the standard flat mirror; (4) adjusting the wafer to be parallel to the standard flat mirror in a face-to-face manner; (5) starting a test module, enabling the test module to perform parallel movement scanning relative to the standard flat mirror, and respectively sampling thedistance from a probe of the sensor to the wafer and the distance from the probe of the sensor to the standard flat mirror through the sensor arranged on the test module; (6) performing data processing program processing on the obtained distance sampling value to obtain a warping degree parameter of the wafer. The method has the advantages that when the wafer is vertically placed for testing, therigidity in the wafer surface is high, the influence of gravity can be greatly reduced, deformation is reduced, and the testing method is convenient and simple.

The invention relates to a portable type cucumber pesticide residue detecting, sampling and freshness-retaining box, and belongs to the field of vegetable pesticide residue detecting matching equipment. The portable type cucumber pesticide residue detecting, sampling and freshness-retaining box comprises a box body and a box cover, wherein the inner wall of the box body is provided with a thermal insulation layer; an inner cavity of the box body is divided into a regulating chamber and a storage chamber; a nitrogen generating system and an air compressor as well as a power supply system are arranged in the regulating chamber; the air compressor is connected with a nitrogen gas path pipeline and an air path pipeline in parallel; a placing slot is formed inside the storage chamber; a stable tray is arranged in the placing slot; and the bottom of the stable tray is provided with a cold storage chamber with a double-layer cavity structure. The portable type cucumber pesticide residue detecting, sampling and freshness-retaining box is provided with the nitrogen generating system and the stable tray capable of refrigerating and controlling a temperature, so that the activity of a cucumber sample and volatilization of volatile pesticide residues are effectively reduced, and the consistency before and after test material sampling is guaranteed. Freshness-retaining effect of cucumber long-distance sampling detecting and field sampling is improved, and guarantee is provided for accuracy of cucumber pesticide residue detecting. The portable type cucumber pesticide residue detecting, sampling and freshness-retaining box is simple in structure and is convenient to operate, so that cucumber pesticide residue detecting and sampling speed is increased.

The invention belongs to the field of 3D target detection, and particularly relates to a point cloud 3D target detection method based on key point multi-scale feature fusion, and the method comprises the steps: obtaining to-be-detected point cloud data at a current moment, inputting the obtained point cloud data into a trained point cloud 3D target detection model, and obtaining a target detection result; and improving distance sampling global features and an extraction algorithm of feature sampling global features in a point cloud 3D target detection model, and improving the efficiency and accuracy of target detection. According to the method, a feature farthest point sampling sequence extraction module is added, feature-based farthest point sampling acts on different voxel sparse convolution layers to obtain features of different scales, and the influence of background point and target detection is reduced.

The invention provides an automatic monitoring and recognition method for salinized land, and belongs to the field of environmental monitoring and environmental ecological protection. The method comprises the following steps: collecting soil salt contents of a plurality of sampling points in a research area to form a sample data set; extracting a plurality of wave band values of grids corresponding to the longitude and latitude in the remote sensing image closest to the sampling month according to the longitude and latitude of each sampling point, and obtaining a wave band combination set by constructing different wave band combination forms; then constructing a machine learning soil salt content inversion model, training the model by using the sample data set, and selecting a wave band combination form suitable for inverting the soil salt content of the research area from the wave band combination set to form a sensitive factor set and an optimal inversion model; and obtaining a soil salt content inversion result in a selected month in the research area by using the optimal inversion model. The method can be practically applied to monitoring the salinization degree of the surface soil layer of the arid and semi-arid region and recognizing the salinized soil of different degrees, and provides effective reference basis for local irrigation planning, agricultural management and the like.

The invention discloses a gas sample collecting device applied to an underground coal mine. The gas sample collecting device comprises a vertical push-pull cylinder, annular airtight passages penetrating through the upper end and the lower end of a cylinder block (3), a gas inlet pipe (11) connected to the front end of the corresponding annular airtight passage, an exhaust pipe (12) connected to the rear end of the corresponding annular airtight passage and a sampling bag (C) connected to the tail end of the exhaust pipe. The inside of the cylinder block communicates with the inside of the annular airtight passages. The annular airtight passages are located at the position on both sides of the gas inlet pipe and the position on both sides of the exhaust pipe and are separately provided with one-way check valves (8). When reciprocating push-pull movement is performed in the cylinder to form negative pressure, gas flows in the direction from the gas inlet pipe to the exhaust pipe. The gas sample collecting device can realize the gas sample collecting operation and the beam tube long-distance sampling operation under a high negative pressure condition; and the reciprocating continuousgas sample collecting operation can be quickly performed, the sampling amount is large, and the workload is reduced and the sampling time is shortened in the sampling process.

The invention discloses an online handwritten Uighur word tilt correction method, which adopts some basic preprocessing operations on Uyghur online handwritten word samples, including point insertion,multi-layer smoothing and point distance sampling. The method performs preprocessing in units of strokes in view of the fact that the basic pre-processing operation directly on the overall handwritten word track will generate additional noise or loses key information points. In order to solve the common tilt correction problem of handwritten words, the present invention proposes a tilt correctionalgorithm based on a block center. The algorithm is simple to implement, is fast in speed, and has a good tilt correction effect. The algorithm can be directly extended to handwritten words of otherpinyin texts and text line tilt correction.

The present invention discloses a biological index sampling method of human body and its remote sampling measurement system. It is characterized by that said invention can make the modern advanced and developed communication network be combined together with various digitalized human body information measurement instruments so as to implement remote acquisition and comprehensive utilization of human body biological indexes.

The invention provides a point cloud spatial data processing method and device. The point cloud spatial data processing method comprises the following steps: receiving point cloud spatial data; constructing an octree model according to the total amount of the point cloud spatial data, a preset node resolution and a preset node segmentation threshold; and carrying out distance sampling on the point cloud space data according to the octree model. According to the point cloud spatial data processing method and device provided by the invention, an octree structure is taken as a basis of a spatial data organization structure, a sampling process taking the node resolution as the interval is added in the octree construction process, and the finally constructed spatial data organization structure reserves a low-resolution point cloud data subset for low-level nodes, so that the point cloud data can be processed more accurately. The high-level nodes retain a high-resolution point cloud subset.

A slope sample value at a sample point on a target route and a distance sample value from a reference point on the target route to the sample point are calculated based on three-dimensional position data of the target route. Undetermined elements contained in a model formula for the approximation formula representing relation between the slope sample value and the distance sample value are determined using an error evaluation formula for the model formula. The error evaluation formula contains a slope error evaluation component for evaluating a slope error between the slope sample value and a slope model value that is calculated using the model formula, and an altitude error evaluation component for evaluating an altitude error between an altitude model value that is obtained through integration of the slope model value and an altitude value that is obtained from the three-dimensional position data.

The invention discloses a depth completion method for a sparse depth map, a computer device and a storage medium, and the process of training a neural network in the depth completion method comprises the steps: obtaining a color image and a depth map truth value, carrying out the equal-distance sampling of the depth map truth value, and obtaining a sparse depth map. The method comprises the following steps: extracting a color image and a sparse depth map to obtain a multi-scale feature map, carrying out regression on the multi-scale feature map to obtain an initial depth map, calculating pixel correlation, carrying out multi-time iterative filtering on the initial depth map to obtain a dense depth map, and carrying out multi-round iterative processing on the dense depth map to train an image consistency optimization module. According to the method, the neural network is trained, the prediction effect of the image consistency optimization module on the pixel depth at the boundary of the dense depth map can be improved, so that the image consistency optimization module has the capability of predicting the pixel depth according to the dense depth map, and the neural network has the capability of depth completion. The method is widely applied to the technical field of image processing.

The invention relates to a fresh-keeping box of tomato samples for pesticide residue detection, and belongs to the technical field of matching equipment of pesticide residue detection of vegetables. The fresh-keeping box comprises a box body and a box cover, wherein heat preservation layers are arranged on the inner walls of the box cover and the box body, the box cover is provided with an air adjusting window, the inner cavity of the box body is divided into an adjusting chamber and a storage chamber, a refrigerating system, a temperature sensor, a control system and a power supply system are arranged in the adjusting chamber, a moisturizing device is arranged in the storage chamber, and a moisturizing agent is arranged in the moisturizing device. According to the fresh-keeping box of the tomato samples for the pesticide residue detection, the temperature can be effectively controlled within 10-13 DEG C of the fresh-keeping temperature range of the tomato, the humidity is controlled within 85%-90%, and therefore the biological activity of the tomato samples can be effectively reduced, the fresh-keeping effects of long-distance sampling detection and field sampling of the tomato are improved, the fresh-keeping effect of the tomato samples for the pesticide residue detection in the storage and transportation process is ensured, and the consistency of the samples before sampling and after sampling is guaranteed; and in addition, the structure is simple, the operation is convenient, and the accuracy of the pesticide residue detection of the tomato is guaranteed.

The invention discloses a non-rigid body three-dimensional shape fan-shaped convolution feature extraction method and system, and the method comprises the steps: S1, extracting a salient point set of a non-rigid body three-dimensional shape based on the farthest geodesic distance sampling; S2, performing feature extraction on the salient point set of the non-rigid body three-dimensional shape through a fan-shaped convolutional neural network to obtain a depth intrinsic feature of the non-rigid body three-dimensional shape; wherein the fan-shaped convolutional neural network has four layers, the first layer is three-dimensional fan-shaped convolution, the second layer to the fourth layer are two-dimensional fan-shaped convolution, and output channels are 256, 512 and 1024 respectively; and S3, through feature splicing and maximum pooling, processing the obtained depth intrinsic features of the non-rigid body three-dimensional shape so as to obtain the depth global features of the non-rigid body three-dimensional shape. According to the method, the point cloud scale of the non-rigid body three-dimensional shape is reduced, the subsequent calculation loss is reduced under the condition that the point cloud characteristics are kept, and the deep intrinsic characteristics with higher expression ability can be extracted.

The invention discloses an MCU (microprogrammed control unit)-based intelligent braking control device for engineering machinery. The MCU-based intelligent braking control device comprises a vehicle alarm device and a vehicle distance detector. The vehicle distance detector is used for measuring the distances from the engineering machinery to operation projects and comprises an MCU, a power module, a data information processing module, a memory storage module, a vehicle speed monitoring module, a radar detecting instrument, a distance sampling module and a display screen, the vehicle alarm device comprises an alarm module, a wireless data transmission module, a brake apparatus and a monitor, and the power module, the data information processing module, the memory storage module, the vehicle speed monitoring module, the radar detecting instrument, the distance sampling module and the vehicle alarm device are bidirectionally connected with the MCU. The MCU-based intelligent braking control device has the advantages that the MCU-based intelligent braking control device is simple in structure and convenient to mount; various devices are connected with one another, accordingly, vehiclescan be effectively controlled under the effects of instructions of the MCU, the safety and the stability are obviously enhanced as compared with conventional intelligent braking systems, and the driving and riding safety and stability can be effectively improved.