175results about How to "Proof of feasibility" patented technology

The invention relates to a cake-shaped direction-changing forged piece method, belonging to the technical field of metallurgy forging, which comprises the following steps: firstly, compaction of the jaw of the steel ingot, chamfering and cutting the end of the steel ingot; the jaw part is compacted; the angle of the steel ingot is discarded and the riser of the end of the steel ingot is cut off; secondly, upsetting axially: the steel ingot is upset along the axial direction to be an oblate forged piece; thirdly, drawing-out the blank, cutting the jaw part: the oblate forged piece is drawn out to be cuboid forged piece with a quadrate sections; fourthly, the cuboid forged piece with the quadrate section is upset to be cube; fifthly, changing the direction of forging; the cubic forged piece is overturned 90 degrees and is forged direction-changing; the one-time upsetting ratio of the upsetting process is decreased from 4 to 5 to 3 to 4; sixthly, the cubic forged piece is chamfered and rounded to be a cylinder; seventhly, the cylinder forged piece is upset to be cake-shape. The one-time upsetting ratio of upsetting process is reduced and the avulsion area is avoided. The invention has the advantages that the lateral avulsion of the tube sheet forged piece is prevented; the avulsion phenomenon is avoided completely; the product quality is assured and the eligible cake-shaped forged piece is produced.

The invention discloses a voltage sag detection method for S-transformation on the basis of time-frequency gathering characteristic criteria. The method includes the first step of obtaining voltage sag disturbance signals to be detected generated in a power distribution network, the second step of conducting analog-digital conversion on an obtained voltage sag disturbance signal model, the third step of conducting optimized selection on gaussian time-frequency window width adjustment parameters in an improved S-transformation method according to time-frequency gathering characteristic criteria, substituting the gaussian time-frequency window width adjustment parameters selected according to empirical values, and conducting characteristic extraction, detection and analysis on digital signals to be detected in the second step through the improved S-transformation. Selection of condition parameters of a gaussian window function is optimized through the constraint condition that the value of a time-frequency gathering characteristic expression is maximized when the signals are analyzed through the improved S-transformation, and the improved S-transformation is applied to characteristic extraction, detection and analysis on voltage sags. The voltage sag detection method for S-transformation on the basis of time-frequency gathering characteristic criteria has the higher detection accuracy degree and signal denoising capacity on transient-state electric energy quality signals.

The invention provides a machine learning-based Chinese automatic summarization method which comprises the following steps: inputting a text, and preprocessing the text; performing text structure division on the preprocessed text information, dividing the preprocessed text into a plurality of semantic paragraphs representing different themes, and calculating the importance degrees of the semantic paragraphs and the importance degrees of paragraphs; performing concept acquisition on the preprocessed text, converting all word expressions in the text into concept expressions, and calculating the importance degree of a concept, the frequency of the concept and the position of the concept; calculating the importance degrees of sentences according to structure information acquired by text division, the frequency of the concept, the position of the concept, the importance degree of the paragraphs and the importance degree of the semantic paragraphs; extracting the sentences with the importance degrees greater than preset values from all the semantic paragraphs; and arranging the sentences with the importance degrees greater than the preset values according to the original order, and outputting the sentences as a summarization result. The machine learning-based Chinese automatic summarization method can automatically generate a summary of a Chinese text.

The present invention relates to image fusion and gait recognition of human body, and especially to a super-resolution image restoration method in gait recognition. The present invention provides a super-resolution image restoration method in gait recognition. The image quality of video sequence is increased through the restoration of super-resolution image. The changing interference of background image is greatly reduced thereby reducing the calculation amount in human body detection process. The invention adopts a technical scheme that the prior gait image is degraded to low-resolution gait image in each iteration. The degraded gait image and the error and fuzzy matrix of actual measured low-resolution gait image are used for forming a reverse projection operator for computing the next high-resolution gait image. Namely the high-resolution image (HR image) is obtained by simulating the low-resolution image (LR image) and observing the low-resolution image (LR image) for executing reverse projection. The process is iterated continuously until the time when the error amount reaches least. The super-resolution image restoration method in gait recognition according to the invention is mainly used for personal identification through the gait of human body.

The invention aims at an intermittent process with uncertainty, and proposes a constrained 2D tracking control method for the uncertainty intermittent process. The constrained 2D tracking control method comprises the steps of: firstly, designing an iterative learning control law for a given system dynamic model; secondly, converting the original system dynamic model into a 2D-FM closed-loop systemmodel expressed in the form of a predictive value according to a 2D system theory and the designed iterative learning control law through introducing state errors and output errors; and finally, giving a sufficient condition expressed in the form of a linear matrix inequality (LMI) for ensuring robust asymptotic stability of a closed-loop system and an expression form of the optimal control law according to a designed infinite time domain performance index and a Lyapunov stability theory. According to the constrained 2D tracking control method, numerical values of tracking errors under the control of the constrained 2D tracking control method are smaller, and the convergence is faster; more importantly, the control input does not drastically fluctuate and only require slight adjustment, thereby being conducive to resource conservation and reducing troubles caused by frequent operations.

The invention relates to a method for removing chattering of sliding mode control of a permanent magnet synchronous motor, which can realize the removal of the chattering phenomenon of the sliding mode control of the permanent magnet synchronous motor. The method has the technical characteristics that: 1, a nonlinear mathematical model of the permanent magnet synchronous motor is established; 2, the nonlinear mathematical model is subjected to decoupling by adopting feedback linearization theory of a nonlinear system; and 3, a corresponding high-order sliding mode controller is designed on the basis of decoupling control respectively. By adopting a high-order sliding mode control algorithm with a differentiator, although indeterminate parameters, external interference, and other factors are present in the system, a robust controller aiming at a multi-input multi-output nonlinear permanent magnet synchronous motor is designed. The controller has the advantages of removing the chattering of the traditional sliding modes, having control accuracy and strong robustness of the traditional sliding modes, and making the control rules not limited by the degree of correlation of the system.

The invention belongs to the technical field of wireless communication and spatial communication, and discloses a DP-MZM-based novel twelve-frequency multiplication millimeter wave generation device and method. A laser is connected with the double-parallel Mach-Zehnder modulator through a polarization controller, and the radio frequency signal source is connected with the double-parallel Mach-Zehnder modulator. The double-parallel Mach-Zehnder modulator is connected with Aphotoelectric detector through the polarization controller. According to the invention, 5GHz and 20GHz radio frequency local oscillator signals are taken, the frequency multiplication system successfully generates 60GHz and 240GHz high frequency microwave signals, and the scheme has flexible tunability; factors influencing OSSR and RFSSR are analyzed, and the feasibility of the scheme is proved. Compared with the conventional frequency multiplication scheme, the optical millimeter wave signal with higher frequency canbe generated under the condition that filtering is not needed..

The invention discloses a six-dimensional fractional-order hyperchaotic system and a chaotic signal generator, and relates to the field of information encryption. The six-dimensional fractional-order hyperchaotic system disclosed by the invention is high in dimensionality; the system has more than two positive Lyapunov indexes, shows the hyperchaotic characteristic and obtains a more complex chaotic signal so as to improve safety of chaotic information encryption. Fractional-order differentiation has memory capacity, and is more suitable for characteristic description of a circuit system than the integer order. The six-dimensional fractional-order hyper system is used for outputting six paths of chaotic signals. A FPGA in the chaotic signal generator is used for generating a six-dimensional hyperchaotic system circuit; an six-path chaotic signal output end of the FPGA is respectively connected with digital signal input ends of a first path, second path, third path, fourth path, fifth path and sixth path of digital-to-analog converters; one end of a dial switch is connected with a power supply; the other end of the dial switch is respectively connected with power supply ends of the six paths of digital-to-analog converters; and signals output by the six paths of digital-to-analog converters are all voltage signals. The chaotic signal generator can provide a six-dimensional chaotic signal source which has various variable combination forms, is used for information encryption and has the excellent chaotic characteristic.

The invention provides a landslide displacement prediction method based on wavelet transform-rough set-support vector regression (WT-RS-SVR) combination. By means of the method, according to the characteristics of the influence factors of landslide displacement, the complex displacement process and landslide displacement monitor data measured in real time, accumulative displacement of a typical monitor point is decomposed into trend-term displacement and periodic-term displacement through WT, and a trend-term displacement prediction function is obtained through curve fitting; screening is conducted on the influence factors of the landslide displacement through an RS algorithm, and selected factor sets are used as input factor sets of an SVR machine, accordingly a landslide displacement optimization prediction model based on WT-RS-SVR combination is established, and the precision of a prediction result is analyzed and evaluated. The prediction result of the landslide displacement prediction method can well embody the development and change tendency of the landslide displacement. The landslide displacement prediction method has high prediction capacity, and is accurate, effective and practical.

The invention discloses a double-DSP control circuit of photovoltaic interconnected device with STATCOM function, which comprises the following parts: locating DSP chip, high-speed RAM chip, floating-point DSP chip, 16-bit FLASH chip, double-hole RAM chip, CPLD chip and signal adjusting circuit. The control circuit gathers each item electric quantity signal of photovoltaic signal, which generates PWM signal of control device interconnected inverter through combination calculation of signal disposal and two DSP. The double-DSP control circuit sends active power to electric net in the working time of photovoltaic interconnected device, which improves the utility of solar battery.

An optimum scanning beam searching method of linear array push-broom image based on object space projection geometric constraint is provided, which divides CCD linear array sensor into sections and indicates each section by a straight line; when the CCD detector scan imaging, a scan imaging center projection plane is formed between the CCD detector and the scan imaging center; the six affine transformation indexed from the average height projection plane coordinates of the linear array push-broom image object space to the image scanning coordinates are evaluated; the evaluated value of neighboring scanning line central projection plane space distance of image is gotten; evaluate the imaging position of object on image; iterative computation of scanning line object space searching is conducted; two scan line central projection planes nearest to the object point are positioned, the exact solution of the optimum scanning line object space is counted through object space interpolation. The invention is simple and easy to realize, which greatly reduces the counting amount of optimum scanning beam searching, thus being able to improve the efficiency of coordinate back projection counting of linear array push-broom image. The invention is particularly applicable processing the linear array push-broom mass images of high resolution.

The invention belongs to the technical field of human body distinguishing and discloses a human body heat source feature extracting and distinguishing method based on infrared pyroelectric information. The method aims to achieve 360-degree wide-range and remote detection and detection of static infrared heat sources and effectively solves the problems of confliction between comfort and energy saving of an intelligent air-conditioner and high false alarm rate of a safety supervision system. According to the technical scheme, the method comprises the steps that a stepping motor is adopted to drive a single pyroelectric infrared detector to rotate at a uniform speed, and then remote, 360-degree wide-range and static object detection is achieved; the detection range is a disk shape, wavelet packet analysis is conducted on collected human body heat source samples and non-human-body heat source samples, a signal wavelet entropy is taken as the features of the signal, 5-fold cross-validation is conducted by means of the BP neural network, and then human body heat resources are distinguished from non-human-body heat resources. The method is mainly applied to human body distinguishing.

The invention relates to a hoisting method of a machine set generator stator and a special mechanism thereof, which is characterized in that an assistant beam frame structure (2) is in bridge joint on two travelling crane rails (1-1) of two 80-ton travelling crane mechanisms (1) in a main factory, and a hydraulic pressure hoisting device (3) is arranged on the assistant beam frame structure (2); thus, the travelling crane rails change from one-point stress into multi-point stress or region stress so as to improve the anti-bending ability of the travelling crane rails. The invention dispenses with extra hanger frames, a girder of the travelling crane dispenses with re-hooping, and a dolly of the travelling crane dispenses with dissembling and is suitable for installation and stator maintaining and hoisting operations of 300MW-firepower machine set generator stators in China; the invention has the benefits of simple arrangement, short operation time, no need of deferred installation of the main factory structure and quick and safe hoisting operation.

The invention discloses a method applicable to SOC-OCV curve calibration of a flow cell. The method comprises the following steps: (1) charging the cell in a constant-current constant-voltage mode, and performing discharging on the cell; (2) performing discharging in a small current manner, wherein the small current is selected according to the load of a vanadium cell in rotational heat spare operation; (3) charging the vanadium cell in the constant-current constant-voltage mode at the room temperature so as to enable the vanadium cell to be in a fully charged state, and performing discharging in the small-current manner; (4) importing discharge data acquired by a cell management system into MATLAB for processing, equally dividing the discharge energy into ten parts, and acquiring the time point when every 1/10 of the energy is discharged; (5) re-charging the cell in the constant-current constant-voltage mode, cutting off a charge power supply after the cell is completely charged, keeping the vanadium cell being in the rotational heat spare state for M minutes, and recording the open circuit voltage OCV0; (6) further performing sectional processing on the discharge data acquired by the cell management system; (7) drawing a table, thereby obtaining SOC-OCV experiment data.

The process of deeply dearomatizing and desulfurizing solvent oil belongs to the field of petrochemical technology. The process features that under the conditions of reaction temperature 20-80 deg and total pressure 0.5-3.0 MPa and in the presence of mixed catalyst, the solvent oil with lower arene and sulfur content is liquid phase hydrorefined inside an intermittent reactor. The said process can lower the arene and the sulfur contents to below 5 ppm and 1 ppm separately. Meanwhile, the mixed catalyst of zeolite molecular sieve supported noble metal Pt, Pd and Ru as main components and hydrogen type zeolite molecular sieve as assistant is used. Compared with vapor hydrogenation dearomatizing and desulfurizing process, the present invention has the features of simple technological process, low power consumption, mild condition and deep dearomatizing and desulfurizing effect, and the catalyst possesses has both hydrogenation dearomatizing and desulfurizing functions.

The invention discloses an integrated ELISA (Enzyme-Linked Immuno Sorbent Assay) chip based on distance detection targets and a detection method thereof. The integrated ELISA chip is provided with a plurality of water-phase cavities and oil-phase cavities which are alternatively arranged into a line, and front cavity bodies are communicated with rear cavity bodies; water-phase inlets are formed in the water-phase cavities; oil-phase inlets are formed in the oil-phase cavities; the water-phase cavity in the leftmost side is connected with a dye cavity which is additionally provided with a third inlet; the dye cavity is communicated with a dye gas column channel; and scales are arranged beside the dye gas column channel. The integrated ELISA chip disclosed by the invention integrates fussy steps of immunological experiment, cleaning and distance signal output onto a microfluidic pneumatic chip, and can be used for high-sensitivity quantitative instantaneous detection of multiple targets such as protein and cells and the like.

The invention relates to a double-flow plate blank automatic water gap replacing control method, and belongs to the field of metallurgy continuous casting machines. When the plate blank casting length is larger than the length of a part between a cutting vehicle original point and a lower crystallizer opening, the specified length is within the accuracy scope, and a rotary switch is manually converted from the manual water gap replacing position to the automatic water gap replacing position. An automatic water gap replacing procedure is activated, calculation is carried out according to the existing pulling speed, the specified length and the casting length, it is accordingly guaranteed that pulling speed decreasing, water gap replacing and pulling speed increasing are completed on one casting blank, the safety rate and the molten steel using rate in the casting process are greatly improved, and influences, caused by manual pulling speed increasing and decreasing for water gap replacing, on the casting blank quality are reduced.

The invention discloses a modified activated carbon. The modified activated carbon is characterized in that a S-TiO2 photocatalyst is loaded on the active carbon. A method for preparing the modified activated carbon comprises the following steps of: adopting an inorganic salt or alcohol salt of titanium as a TiO2 precursor, adopting thiourea as a sulfur source, hydrolyzing sol for preparing inorganic hydrated metal oxide S-TiO2, adding the PEG and the activated carbon, stirring or ultrasonically mixing to be uniform, carrying out dipping treatment, drying and roasting the activated carbon after dipping treatment, and obtaining the modified activated carbon. The activated carbon can adopt a gas-solid fluidized bed photocatalytic method for regeneration. The modified activated carbon belongs to a suitable novel absorbent. The gas-solid fluidized bed photocatalytic method is simple, no secondary pollution is caused, the loss of the activated carbon is less, and the mechanical strength is not changed basically, so that the activated carbon and the regeneration technology thereof disclosed by the invention are environmentally-friendly.

The invention discloses an online collaborative caching method based on optimized energy efficiency, which belongs to the technical field of communication and comprises the following steps of firstly,establishing a double-layer heterogeneous ultra-dense network scene comprising a content server CP, a macro base station MBS, a small base station SBS and user UE; aiming at the new content l to becached, enabling an MBS to calculate a preference factor and a social factor of a certain user UE for the content; further obtaining a preference factor and a social factor of each piece of UE on thecontent, calculating a decision function value by combining the current heat factor of the content l, adding the content l into the cache file set when the decision function value l is greater than orequal to a judgment threshold I0, and meanwhile, calculating each SBS capable of caching the content by MBS; judging whether each SBS needing to cache the content l and the MBS have enough cache space or not, and if so, directly caching the content l; otherwise, deleting from the most recently requested file until the cache space is sufficient to store the content l. According to the invention, the real-time distribution of the cache content can be realized, the energy consumption is saved, and the network cost is saved.

The invention discloses a path planning method based on a Q-learning algorithm. The method includes the following steps: firstly, obtaining basic information; secondly, determining the coordinate of an obstacle in an image; thirdly, carrying out segmentation on the image; fourthly, planning paths through an improved Q-learning algorithm; fifthly, obtaining an optimal path, and drawing the optimalpath through MATLAB according to a learning result; and sixthly, controlling a robot to walk for verification, and using a computer to control the robot to walk to verify the path on the basis of thelearning result. The beneficial effects are that a simulation experiment is performed in a grid environment, the method is successfully applied to path planning of the mobile robot in a multi-obstacleenvironment, and the result proves feasibility of the algorithm; the improved Q-learning algorithm can converge faster, with the learning frequency being obviously reduced and the efficiency being improved by 20% to the maximum; and the algorithm framework exhibits high universality for solving similar problems.

The invention discloses a special-shaped hole machining method and a special-shaped hole and relates to the technical field of laser machining. According to the method, femtosecond or picosecond or nanosecond pulse laser is adopted, and a mode completely based on scanning galvanometer filling machining is provided. The method comprises the steps that firstly, a through hole smaller than the hole diameter requirement is machined so that gasification objects and fusion objects formed in the machining process can be discharged and re-coagulation objects are prevented from depositing; then, roughmachining of a special-shaped hole diffusion section is conducted; then, the laser focusing position is adjusted, broaching is conducted on the basis of a dust discharge through hole, and a cylindrical through hole meeting the hole diameter requirement is machined; and finally, the focus position is precisely adjusted, and the diffusion section is machined layer by layer. By means of the special-shaped hole machining method and the special-shaped hole, heat-induced defects such as recasting layers, microcracks, coating collapse and the like generated in the process that in the prior art, a special-shaped hole is machined, and in particular, the special-shaped hole is machined in a workpiece with the surface coated with a thermal barrier coating are avoided; and in addition, the shape and dimension precision of the special-shaped hole are improved.

The invention belongs to the technical field of rock stratum identification, and discloses a static penetration test rock stratum intelligent identification method and system, computer equipment and amedium. The method comprises steps: collecting data; preprocessing the data; dividing a data set; constructing a machine learning model; training a machine learning model; evaluating a classificationmodel; and using the classification model. Soil layer classification of a certain engineering base in China is taken as a research case, application of using a machine learning technology to performsoil layer division in a static sounding test is comprehensively discussed, the types of soil layers in the static sounding test are expanded, an intelligent soil layer classification technology basedon machine learning is provided for the static sounding test, a new direction is provided for research of soil layer identification in a static sounding test in China, the superiority of a machine learning technology in super-multi-class soil layer division based on the static sounding test is verified, and the feasibility of the static sounding test based on the machine learning technology in domestic use is proved.

The invention discloses a thermoforming method of a metal composite board. The method comprises the following steps of: putting a board in a numerical control heating furnace with a segmental heating function so that the board is heated according to four temperature areas in the length direction of the board, and carrying out heat insulation for 3 minutes, wherein the four temperature areas of the board are respectively between 550 DEG C and 650 DEG C, between 650 DEG C and 750 DEG C, between 750 DEG C and 850 DEG C and between 900 DEG C and 1000 DEG C; and then thermoforming the board in a die distributed with different cooling pipelines, wherein the die comprises an upper die and a lower die, and the part where the distribution density of the cooling pipelines is large corresponds to the high-temperature part of the board. In the invention, through controlling the heating temperature in the thermoforming process and the distribution of the cooling pipelines of the die, a special metal composite board of which material properties are in continuous gradient distribution along the length direction is obtained, and the metal composite board is quite suitable to serve as an impact-resistance material.

The invention belongs to the field of aircraft structure design and strength analysis, and particularly relates to a minimum subsample reliability growth test design method, which In the first step, given the reliability target, the log-average lifetime [mu]m 1 is inversely calculated. In the second step, the life value T0 of the reliability test is virtualized to meet the requirements of the Bootstrap method. In the third step, the Bootstrap method can be used to obtain the distribution and the mean [mu]m. In the fourth step and finally, [mu]m1 is compared with [mu]m to satisfy the error range, that is, the output lifetime value T0. Otherwise, the iteration is performed, and the final output satisfies the reliability target. Life value T0. The method in this paper is that the reliabilitytest life T0, the confidence Gamma and the target failure probability R have been obtained, and the test life T is obtained, so that the failure probability of the mechanism system under the overhaulperiod is not greater than R under the confidence Gamma. The test life expectancy value is reached, and the life value satisfies the reliability growth requirement after evaluation, and the design method is feasible.