33results about How to "Solve the difficulty of obtaining" patented technology

The invention discloses a multi-pulse delay integral shaping method capable of achieving range gating space energy envelope. In one frame of exposure time of a gating image device, laser pulses and gating pulses form M pulse pairs, gating delay coded modulation is carried out on the M pulse pairs according to target range gating space energy envelope geometric features so that subspace sampling areas at different distances can be sampled, intra-frame delay integral of M subgraphs is achieved in one frame of the exposure time of the gating image device, and ultimately one frame of a range gating slide image having the target range gating space energy envelope geometric features can be output. The method is good in adaptability and high on flexibility; the problem that it is difficult for a laser device with a pulse width non-adjustable to achieve energy envelope of range gating spaces of different shapes can be solved; the problem that due to the fact that rectangular square wave laser pulses are difficult to obtain, the range gating space energy envelope is hard to achieve can be solved; the selection range of pulse lasers used for three-dimensional imaging through range gating super-resolution is greatly widened.

A ground wire deicing device capable of combined use is disclosed, which is composed of a gasoline engine generator (1), a three-phase constant current control module (2), a regulation control system (3), a digital voltmeter (4), a digital ammeter (5), a shunt (6) and a wrapped enamel-insulated wire (7), wherein, the gasoline engine generator (1) is connected with an input end of the three-phase constant current control module (2). The regulation control system (3) is connected with a control signal end of the three-phase constant current control module (2). The enamel-insulated wire is wrapped on the ground wire prior to the icing of overhead ground wire of power transmission line and is accessed to the ground wire deicing device subsequent to the icing of overhead ground wire. Heat is generated by the ground wire after current passes through the ground wire to thereby melt the ice. Once the deicing current exceeds 50A, more than two devices can be combined for simultaneous use. The invention: 1) can deice the overhead ground wires in various models; 2) can adjust the range of the deicing current; 3) can use the device in a combined manner; 4) solves the difficult problem of power source; and 5) reduces risk.

The invention discloses a method for calibrating a tidal flat DEM (digital elevation model) on the basis of remote sensing water lines. The method includes particular steps of collecting multi-source and multi-temporal remote sensing images of tidal flat regions and extracting the water lines; building an initial DEM according to historical terrain data; building a two-dimensional tidal level numerical simulation model on the basis of the initial DEM and verifying the model by the aid of measured tidal station data; computing tidal flat exposure regions at acquisition moments of the corresponding remote sensing images by the aid of the two-dimensional tidal level numerical simulation model, comparing the tidal flat exposure regions to the water lines at the corresponding moments, comparing the tidal flat exposure regions to a next water line if the tidal flat exposure regions are matched with the previous water lines, or correcting the tidal flat exposure regions if the tidal flat exposure regions are not matched the previous water lines; calibrating the DEM by the aid of the multiple water lines by the same process, matching all the water lines with the exposure regions computed by the aid of the two-dimensional tidal level numerical simulation model and outputting the optimal result of the DEM. The method has the advantages that the optimal realistic DEM data can be generated for the tidal flat regions with shortage in terrain data, the method is speedy, efficient, simple and feasible, and operation is convenient.

The invention discloses an intelligent wardrobe system based on machine vision and the Internet of Things. The system comprises an intelligent wardrobe, a clothes airing robot, a wardrobe upper computer, a robot upper computer, a bidirectional telescopic device, a vertical lifting device, a horizontal moving device, a clothes hanger, a clothes rod, a clothes hanger, a drawer, a mechanical arm, a drawer fork frame and the like. The system can achieve automation of clothes airing, clothes storage and clothes taking and intelligent classification of hung clothes and folded clothes, saves time and labor, and is efficient and practical.

The invention belongs to the technical field of coal mining machine rocker arm mechanical transmission system fault diagnosis, and particularly relates to a coal mining machine rocker arm mechanical transmission system fault accurate positioning method. The method comprises the steps of 1, collecting rocker arm vibration signals in normal and fault states, and performing noise reduction processingon the rocker arm vibration signals through a wavelet transformation method; 2, performing FFT conversion to obtain a spectrogram of the vibration signal; 3, performing comparative analysis on the normal rocker arm spectrogram and the fault rocker arm spectrogram to obtain vibration characteristic frequency of a fault part, and performing preliminary positioning on the fault part; 4, comparing and analyzing the continuous complex Morlet wavelet envelope demodulation spectra of the normal rocker arm and the faulty rocker arm to obtain the rotation frequency of the faulty part; and 5, accurately positioning a faulty part by combining adaptive continuous complex Morlet wavelet envelope demodulation analysis with FFT. The method has important practical significance for guaranteeing safe operation of the coal mining machine, changing preventive periodic maintenance into predictive maintenance, safely and efficiently producing a coal mine, improving the maintenance efficiency and reducing the maintenance cost.

The invention relates to a ground reconnaissance robot gesture control system and method based on binocular vision. The ground reconnaissance robot gesture control system comprises a display, a binocular camera device, a control ring and a human-machine interaction control system, wherein the display, the binocular camera device and the control ring are connected with the human-machine interaction control system; the display is used for displaying scene images shot by a reconnaissance robot; the binocular camera device is used for collecting gesture images of an operator; the control ring is used for controlling the movement of a ground reconnaissance robot body and the movement of a mechanical arm; and the human-machine interaction control system is used for processing the gesture images shot by the binocular camera device into three-dimensional coordinates of fingertip points, and then sending the three-dimensional coordinates of the fingertip points to the robot for execution. According to the ground reconnaissance robot used for a multi-degree-of-freedom mechanical arm, by combining the control finger ring and the binocular camera device, the position movement of the robot and the angle and height change of the camera are achieved, and the reconnaissance task is completed.

The invention discloses a high-resolution remote sensing image change detection method, device, and equipment. The method comprises the following steps: acquiring image data of different time phases in a same area; performing ortho-rectification and image fusion processing on front and back time phase image data to obtain remote sensing image data; performing data amplification processing on the remote sensing image data by adopting a non-generative data amplification method and a generative data amplification method to generate sample data; performing change detection on the sample data based on a sub-pixel deep convolutional network to obtain a remote sensing image change result. The invention is advantageous in that a deep combination of deep learning and change detection is realized, a deep learning sub-pixel convolution algorithm is improved, the adoption of a sub-convolution algorithm to replace traditional deconvolution can improve the adoption effect, and the accuracy of a model is improved.

The invention discloses an intensive energy-saving base station machine room, and relates to the technical field of communication networking equipment, in particular to a communication base station machine room. A containing unit convenient to use and a long-time reliable running environment are provided for communication equipment and matched equipment. The base station machine room comprises a machine room wall, a top cover, a base, a left temperature control door, a right temperature control door, a base transceiver station, an equipment supporting frame, a storage battery, a storage battery supporting frame, a frame assembly, a power distribution module, a switch power source, a 24-core optical fiber wiring subframe, a wire feeding window, a grounding copper bar and a frame assembly, wherein the top cover is assembled on the upper portion of the machine room wall, the base is assembled on the lower portion of the machine room wall, a wire feeding window is arranged on the right rear side of the machine room wall, the grounding copper bar is assembled below the wire feeding window, the left temperature control door and the right temperature control door are installed on the front side of the machine room wall, a compressor air conditioner is installed on the left temperature control door, a semiconductor refrigerating air conditioner is installed on the right temperature control door, a plurality of mounting stand columns are installed in the machine room, the machine room is divided into a left unit and a right unit, the left unit is an equipment cabin, and the right unit is provided with a matched cabin and a storage battery cabin.

The invention relates to an image generation model training method and device, an image generation method and device, and electronic equipment, and the method comprises the steps: obtaining a first original image generator and a second original image generator which are the same, obtaining a first sample image and a second sample image which are different in image style, generating a random vector, respectively inputting the random vectors into a first original image generator and a second original image generator to obtain a first output image and a second output image, training a first original image generator, a first discriminator, a second original image generator and a second discriminator according to the first output image, the second output image, the first sample image and the second sample image to obtain a first image generator and a second image generator, wherein the first image generated by the first image generator is the same as the first sample image in style, and the second image generated by the second image generator is the same as the second sample image in style. The paired image can be conveniently obtained, and high generation efficiency of the paired image is ensured.

The invention relates to the technical field of heavy water reactor material equipment design and evaluation, in particular to a method for obtaining zirconium alloy irradiation deformation single crystal constitutive parameters. The method comprises the following specific steps: collecting plastic deformation test or actual measurement parameters of zirconium alloy caused by irradiation deformation; simulating observed alloy deformation by adopting a finite element method or a finite volume method on the basis of a polycrystalline irradiation deformation constitutive structure under an irradiation condition; based on the simulation result, calculating the anisotropy coefficient of the irradiation plasticity of the polycrystal; and obtaining the apparent single crystal constitutive structure by utilizing the anisotropy coefficient and combining a genetic algorithm. Compared with the prior art, the method has the advantages that the problem that the constitutive parameters of the single crystal are difficult to obtain when the radiation deformation of the nuclear-grade zirconium alloy is predicted by utilizing a mesomechanical model can be well solved; the obtained apparent single crystal constitutive parameters can be used for obtaining irradiation deformation prediction of nuclear-grade zirconium alloy.

The embodiment of the invention discloses an information processing method and device, electronic equipment and a storage medium. The information processing method comprises the following steps: acquiring first data provided by first equipment and a data label of the first data; acquiring second data acquired by the first equipment and the second equipment at the same time; classifying the first data and the second data; according to a classification result, transmitting a data label of the first data to the second data belonging to the same class as the first data; constructing a training setbased on the second data and the data label of the second data; and training a recognition model based on the training set.

The invention discloses a device for improving the quality of plant materials through hot pressing and belongs to the technical field of machining. Based on the composition of the plant materials and chemical and physical properties, proper heating is adopted for softening lignin to improve plasticity of the plant materials, the proportions of space occupied by various gaps such as cavity hole concaves of the plant materials is reduced through pressurizing, density and strength of the plant materials are improved, and the quality of the plant materials is greatly improved. Low-quality plant materials become good-quality plant materials high in density and high in strength. The problems about ecological environment protection, reduction and stopping of cutting of forests especially good-quality forests and the requirement of economic society development and people life for a large amount of good-quality wood are solved, meanwhile, comprehensive, good-quality and efficient utilization of agricultural and forestry byproducts is achieved, the problem that straw leaves pollute the atmosphere environment is solved, and wide and low-cost application of high-density and good-quality plant materials becomes feasible. The device can also be used for town and country construction and treating of slag mucks and the like or common soil and stone materials can be used for manufacturing various building materials and buildings such as slate bar tables, chairs, kiosks and bridges and the like.

The invention provides a thermal resonance fusion reactor which belongs to the fusion reactor technology field. Based on the principle of thermal resonance fusion, a third technically feasible thermal resonance fusion type reactor is used in addition to the magnetic confinement and inertial confinement fusion modes. The main container in the reactor core is provided with a shielding layer and a thermal resonance fusion component and can use a variety of gas fusion fuels for fusion simultaneously. Under ordinary conditions or in conditions with not so high temperatures, through the nickel playing a catalytic role or platinum-based thermal resonance fusion materials, the atoms of the gas fuels attached on the materials are forced thermal vibrations so that sharp resonance can be generated between two fuel atoms under the condition with proper temperatures and high and sufficient kinetic energy for fusion reactions can be obtained. With one fusion product leading to other fusion reaction, it is possible to achieve sustained fusion reactions in a controlled manner and to actually practice the safe application in technology and engineering of fusion nuclear power. The shielding layer is capable of producing isotopes. The fusion reactor of the invention can be widely used in small medium sized and large energies. It can also be used as a neutron source.

The invention discloses a treatment method for root system biomasses of a tree in a karst region. The treatment method comprises the steps of: 1) using the digging end of a digging and chopping dual-purpose pickaxe for digging surface soil open to expose a root system; 2) using the chopping end of the digging and chopping dual-purpose pickaxe for chopping side roots around a trunk; 3) after the side roots are chopped, pulling out the root system while using the pickaxe for digging the soil along the root growth direction; 4) after the side roots around the trunk are cleared, taking out the soil and using a steel shovel for obliquely and downwards cutting off a main root to gradually cut off the main root; 5) in the digging process, using the steel shovel for vertically cutting off main stressed side roots, and after the stressed side roots are separated from the main root, rooting up the tree; and 6) after the tree falls down, taking out all roots for clearing, and after non-root substances are cleared, classifying by stump, large roots, medium roots and small roots to obtain biomass data. The treatment method is feasible, the tools are simple to manufacture and are simple and convenient to operate, the time and the labor are saved, the root system of the tree can be obtained to the utmost extent and the accuracy of the data is guaranteed.

The invention provides a quantitative prediction method and system for an ancient lake shoreline, computer equipment and a computer readable storage medium, and relates to the technical field of geological exploration. The method comprises the following steps: performing isochronous small-layer fine division on drilled wells in a research area; carrying out core observation on the drilled well after isochronous small-layer fine division, and acquiring a core observation result; establishing a lithology distinguishing template according to the core observation result; analyzing and processing the drilling data according to the lithology distinguishing template; and predicting the position information of the ancient lake shoreline according to an analysis processing result and the lithologydistinguishing template. According to the invention, the lake shoreline position is quantitatively depicted according to the special lithology identification of peat carbonaceous mudstone strata and coal seams so that a problem that data point data is difficult to obtain is solved, and the problem of reproduction of a small-layer-level lake shoreline transition evolution process is solved too.

The invention discloses a relay service life prediction information acquisition system based on Internet of Things, and the system comprises three parts: an information acquisition unit, a cloud server, and a front-end interface, and the information acquisition unit is used for acquiring data of an equipment terminal and uploading the data to the cloud server; the cloud server is used for carryingout classified storage and analysis on the measurement data after receiving the operation data information, carrying out service life prediction according to a service life prediction model and providing an alarm function by combining the received data, and correcting a previous prediction result after new data is collected so as to perfect the service life prediction model; and the front-end interface is used for inputting, displaying and exporting relay information. Data are collected in a large range through the Internet of Things technology, and the problems that in existing relay servicelife prediction research, few experimental data are available, data acquisition is difficult, and the data breadth is not enough are solved.

The invention relates to a rotating speed and flow optimizing method and system for variable-speed operation of a mixed-flow water turbine, and belongs to the field of water turbine parameter optimizing processing. The method comprises the following steps: firstly, conducting tangent drawing processing on an existing mixed-flow water turbine model comprehensive characteristic curve to obtain a plurality of tangent points; connecting the plurality of tangent points with optimal working condition points in the mixed-flow water turbine model comprehensive characteristic curve, and determining an optimal path for the variable-speed operation of the mixed-flow water turbine; on the mixed-flow water turbine model comprehensive characteristic curve, determining the unit flow and the unit rotating speed at the intersection point of the optimal path and each equal guide vane opening line; and finally, calculating the optimal rotating speed and the optimal flow of the mixed-flow water turbine under any water head and guide vane opening combination according to the unit rotating speeds and the unit flows. According to the method, the optimal rotating speed and the optimal flow of the mixed-flow water turbine under any water head and guide vane opening combination can be calculated by utilizing existing basic data, and the overall hydraulic efficiency of the mixed-flow water turbine can be effectively improved.