38results about How to "Strong engineering application significance" patented technology

The invention relates to an absolute radiometric calibration method for a satellite staring planar array CCD camera. The absolute radiometric calibration method comprises the steps of firstly establishing a linear quantitative relationship between digital DN value information after relative radiometric calibration for remote sensing image data of the satellite staring planar array CCD camera and radiation energy information at entrance pupil of the satellite staring planar array CCD camera, and a radiation energy model at the entrance pupil of the satellite staring planar array CCD camera in sea imaging; then calculating to obtain radiation energy L at the entrance pupil of the satellite staring planar array CCD camera in low light level imaging of the sea area at morning or nightfall and acquire a sample average value of all probing digital DN values of the satellite staring planar array CCD camera after the relative radiometric calibration to be used as an average digital DN value DNR of the satellite staring planar array CCD camera probing units; and finally performing linear fitting on the above L and DNR and calculating to obtain an absolute radiometric calibration coefficient. The absolute radiometric calibration method overcomes the technical problem of no absolute radiometric calibration method for in-orbit operation of the satellite staring planar array CCD camera.

The invention provides a method for evaluating the service damage of a high-temperature alloy turbine blade and predicting the creep life of the same and relates to the evaluation of the creep residual life of a DZ125 directional solidified high-temperature alloy turbine blade. According to the method, a DZ125 directional turbine blade service damage and creep residual life evaluation and prediction method and process are constructed based on the microstructure evolution database of DZ125 alloy under a near-service condition. With the method and the process adopted, the evaluation of the service damage degree of an on-service turbine blade in a macroscopic level and a microscopic level and the prediction of the creep residual life of the on-service turbine blade are realized. Compared withan existing creep residual life method, the method starts from the quantitative characterization of a microscopic structure, thereby having higher accuracy and reasonability. The method is suitable for engineering application and has relatively high engineering application significance and a bright prospect in the creep residual life prediction, maintenance and design of DZ125 alloy and other single-crystal or directional alloy turbine blades.

The invention provides a method for evaluating the service condition of a high-temperature alloy turbine blade and relates to the evaluation of the service condition of a DZ125 directional solidifiedhigh-temperature alloy turbine blade. According to the method, quantitative relations between a microstructure and service temperature, stress and time are established through machine learning on thebasis of a microstructure evolution database of DZ125 alloy under a near-service condition. The evaluation of the equivalent maximum service temperature and corresponding stress and time of the bladeis realized on the basis of the quantitative relations and the quantitative characterization results of the microstructure of the DZ125 alloy turbine blade. Compared with an existing laboratory simulation evaluation method, the method of the invention has higher accuracy and operability; meanwhile, the method of the invention is not influenced by boundary conditions, the method has higher reliability compared with a finite element simulation method. The method is suitable for engineering application and has relatively high engineering application significance and a bright prospect in the service temperature evaluation of DZ125 alloy and other single-crystal or directional alloy turbine blades.

The invention provides a prediction method of an LSSVM non-Gaussian fluctuating wind speed, which comprises seven steps, wherein the specific steps are that a non-Gaussian random fluctuating wind speed sample is generated through simulation with a memory-less nonlinear conversion method, the non-Gaussian fluctuating wind speed sample is divided into a training set and a testing set, and normalization is carried out to the two sets respectively; and training learning is carried out to the LSSVM by the training set, the testing set is used for prediction, fitness of each chromosome in a groups is calculated, whether algorithm convergence criterions are satisfied, a combined solution is put into a set if an optimal parameter combination is satisfied and then the fifth step is started, and otherwise the fourth step will be started. The prediction method of the LSSVM non-Gaussian fluctuating wind speed provided by the invention combines a genetic algorithm and an ant colony algorithm to intelligently extract the optimal parameter combination of the LSSVM in order to establish an optimized LSSVM prediction model and predict the testing set. In this way, a predicted time interval spectrum of the non-Gaussian fluctuating wind speed can be obtained.

The invention provides a joint shape design method for realizing equal bending bearing of low-match butt-joint joint with base metal and relates to a butt-joint joint design method. The method comprises the following steps that 1, the yield strength matching ratio of a low-match joint is calculated; 2, the height h of the welding seam surplus height is obtained through calculation by a material mechanical formula according to the equal bending bearing condition; 3, the cover surface weld pass half width w is determined; 4, the weld toe radius r is determined; and 5, the low-match joint geometrical shape parameter required by the equal bending bearing is obtained according to the solved height h of the welding seam surplus height, the cover surface weld pass half width w and the weld toe radius r. The joint shape design method is suitable for the low-match flat plate butt-joint joint of the X-shaped grooved double-side welding. The high-intensity welding structure can adopt the low-match joint assembly mode. The high-intensity welding adopts the low-match welding joint, the bending bearing capability can be enabled to be not lower than that of the base metal, and in addition, the ductility and toughness and the like are obviously improved through being compared with those of a matched welding joint.

The invention relates to a modulation transfer function (MTF) in-orbit measuring method for a gazing satellite area array CCD camera. The method is characterized in that an end-to-end point spread function model is established between point-source distribution and image distribution, point source is designed and laid; point spread function value of each image element in a point source zone is calculated, and then the point spread function parameter of the area array CCD camera can be obtained by using minimum norm solution, furthermore an optical transfer function can be obtained; finally, the optical transfer function is delivered and is the modulation transfer function, a first modulation transfer function value is taken as a reference for normalization processing, the modulation transfer function on any space direction theta can be obtained through transformation of coordinates; and the modulation transfer function at Nyquist frequency on any space direction theta is taken as a MTF index evaluate value of the gazing satellite area array CCD camera. The in-orbit measuring method solves the technical problem of MTF no in-orbit measuring of the gazing satellite area array CCD camera in background technology.

The invention relates to a testing method for the MTF (Modulation Transfer Function) of a linear array infrared detector of the shape of a Chinese character "pin". The method comprises the following steps that: using a black body to carry out irradiation on a V-shaped target to obtain infrared imaging; moving a linear array infrared detector, which is packaged in Dewars, of the shape of a Chinesecharacter "pin" to finish focusing and the quick positioning of a target blade edge image and two rows of pixels of linear array infrared detector of the shape of the Chinese character "pin"; carryingout permutation and combination on the output data of two rows of pixels to obtain an ESF (Edge Spread Function); utilizing an algorithm to remove an effective response output pixel to enable the calculation of an inclination angle to be more accurate so as to effectively improve the testing accuracy of the linear array device MTF; and finally, calculating the MTF of the linear array device of the shape of the Chinese character "pin", and taking a MTF numerical value on the Nyquist frequency of the device as a final representation value of the device. By use of the testing method, the lineararray device of the shape of the Chinese character "pin" and the image blade edge of the V-shaped target can be accurately positioned, testing speed is quick, and the ineffective response pixel of thelinear array is rejected to improve testing accuracy. The method is suitable for testing the MTF of straight line shaped array infrared detectors, area array infrared detectors and nonstandard lineararray infrared detectors of the shape of the Chinese character "pin".

The invention belongs to the field of composite material residual stress measurement, and provides a blind hole method based residual stress distribution measurement method for a composite material plate. The method comprises the following steps: firstly, determining a measurement position and a measurement direction for the to-be-measured composite material plate, and adhering a plurality of strain gauges to corresponding positions; using a numerical control drilling machine for conducting stepping drilling on the back face of the position, where the strain gauges are pasted, of the plate, drilling the plate for multiple times with the fixed stepping amount, determining the drilling depth according to the measurement purpose, and after drilling is completed, obtaining strain values, changing along with the drilling depth, measured by the strain gauges at the blind hole positions; then, solving stress distribution at all strain gauge positions by utilizing a finite element model; and finally, correspondingly measuring other directions and position by changing the pasting direction of the strain gauges and the positions of the blind holes.

The invention discloses a DI channel diagnosis circuit and method. The DI channel diagnosis circuit comprises a first relay, a second relay, a controller and a DI channel. The first input end of the DI channel is connected to a negative electrode of a query power supply, the second input end is connected to the common end of the second relay, and the output end is connected to the controller; a normally closed contact of the second relay is connected with a positive electrode of the query power supply; the normally open contact of the first relay is connected with the normally open contact ofthe second relay, and the common end of the first relay is connected with the positive electrode of the query power supply; the controller is configured to output high-level signals to the coil ends of the first relay and the second relay and output low-level signals to the coil end of the first relay after delaying for a period of time. And if the falling edge signal is detected, the DI channel is diagnosed to be normal. By adopting a double-relay hardware structure, the automatic diagnosis function of the DI channel can be realized according to the detected falling edge signal, the cost is low, and the method is simple and effective.

The invention discloses an atmospheric correction method and a system of visible remote sensing satellite images. The method comprises the following steps: converting a gray value image of the visibleremote sensing satellite into an apparent radiance image to obtain an apparent reflectance image; converting the gray value image of the visible remote sensing satellite into an apparent radiance image to obtain an apparent reflectance image. Classifying the apparent reflectance images to obtain the classified images; Dividing the apparent reflectance image into atmospheric grids according to theatmospheric grid intervals to obtain a spatial grid dividing image; Classification image and spatial grid image are superposed and analyzed, and classification attribute, spatial grid attribute, apparent reflectance value of pixel and corresponding position association of each pixel in the image are obtained. An image atmospheric correction model is established, and based on the image atmosphericcorrection model, the image atmospheric correction inversion is performed to determine the surface object reflectance in all atmospheric grids within any classification of surface objects. The invention solves the problem of atmospheric correction in any band of the visible remote sensing satellite image.

The invention discloses a surface energy gradient bionic liquid absorption core and an application thereof. The surface energy gradient bionic liquid absorption core comprises a plurality of bionic units arranged in a 3D array mode. Each bionic unit is provided with a flow guide groove. The projection of each flow guide groove is semi-elliptical. Each flow guide groove comprises a bevel, a curvedsurface and a flange, the bevel is provided with a structure with the gradually increasing groove body depth in the liquid flow direction, the tail end of the bevel is connected with the curved surface, the side, close to the bevel, of the curved surface is a concave surface, the upper end of the curved surface extends back to the bevel to form the flange, and the flange is in smooth connection with the bevel of the next bionic unit. Each bionic unit simulates microstructural features of the surface of common nepenthes. The surface energy gradient bionic liquid absorption core is applied to aloop heat pipe and other phase change radiators. The capillary suction force of the liquid absorption core can be increased, and directional transmission of liquid can be guaranteed. The problems of insufficient capillary suction force and back heat conduction of a loop heat pipe are effectively solved. The surface energy gradient bionic liquid absorption core has great significance in engineeringapplication.

The invention discloses a non-effective pixel on-orbit detection method. The method comprises the steps of selecting one or more targets from natural targets to serve as class uniform sources; under different solar elevation angles and different integral time, performing multi-time imaging on a region where the one or more selected class uniform sources are located to obtain a plurality of remote sensing images; performing normalization processing on the remote sensing image meeting a set condition in the remote sensing images to obtain a Num-scene uniformed remote sensing image; converting the Num-scene uniformed remote sensing image into a matrix vector expression, and according to the matrix vector expression, performing judgment to obtain actually measured non-effective pixels; and according to the positions of the actually measured non-effective pixels and the positions of reference non-effective pixels, obtaining a non-effective pixel position set of a variable integral time area array CMOS during an on-orbit period. Through the method, on-orbit detection of non-effective pixels of a visible light near-infrared area array CMOS camera is realized and the imaging quality of the images is ensured.

The invention provides an absolute radiometric calibration method for a medium wave infrared focal plane array detector. The absolute radiometric calibration method comprises the steps of: establishing an absolute radiometric calibration model, carrying out absolute radiometric calibration, utilizing an array detector with high calibration precision as a reference array detector, and carrying out cross calibrating on a target array detector; determining a cross calibrating reference array detector according to a ratio requirement for spatial resolution of the reference array detector and spatial resolution of the target array detector; selecting a calibration region through an earth surface uniformity requirement and observation parameter requirement; and acquiring radiation brightness at an entrance pupil position of the target array detector, and calculating to obtain an absolute radiometric calibration coefficient finally. The absolute radiometric calibration method solves the technical problems of the absolute radiometric calibration method for the medium wave infrared focal plane array detector without a full optical-path onboard blackbody device.

The invention discloses a compensation method of invalid pixels. The compensation method of invalid pixels includes the steps: according to the positional relation between invalid pixels, performing coarse classification on the invalid pixels, and determining isolate invalid pixels and communication invalid pixels; according to an image classification method, performing coarse classification on remote sensing images to obtain a coarse classification result, and marking the coarse classification result as Class(k); according to the positions of the invalid pixels in the remote sensing images, combining the coarse classification of invalid pixels and the coarse classification of the remote sensing images, performing secondary classification on the invalid pixels, and determining the isolate invalid pixels in a monotonous area, the communication invalid pixels in the monotonous area, the isolate invalid pixels in an edge area and the communication invalid pixels in the edge area; and successively compensating the four types of invalid pixels. The compensation method of invalid pixels realizes compensation correction of invalid pixels of a visible light near infrared area-array COMS (Complementary Metal Oxide Semiconductor) camera, and has the advantages of being high in compensation correction accuracy and guaranteeing imaging quality of images.

The invention provides a relative radiation correction method for a medium-wave infrared focal plane array detector. The relative radiation correction method comprises the steps that a detector radiation responding model is firstly built, and then imaging on a variable high-temperature blackbody radiation source and a low-temperature blackbody radiation source is completed to obtain a DN value of a corresponding array detector; wavelet transformation is performed on the DN value of the array detector, a wavelet coefficient of generalized 1 / f noise is estimated according to the counting self-similarity characteristic of the generalized 1 / f noise, then the obtained wavelet coefficient is shrunk through a wavelet soft threshold method, and finally wavelet inverse transformation is performed on the shrunk wavelet coefficient to obtain a medium-wave infrared focal plane array detector DN value after the generalized 1 / f noise is separated is obtained; the noise amplitude is calculated; noise removal is performed on DN values of variable high-temperature blackbody and low-temperature blackbody data; a relative radiation calibration coefficient is obtained through calculation; a relative radiation correction image of the array detector is obtained according to image data obtained by the array detector.

The invention provides a prediction method of an LSSVM non-Gaussian fluctuating wind speed, which comprises seven steps, wherein the specific steps are that a non-Gaussian random fluctuating wind speed sample is generated through simulation with a memory-less nonlinear conversion method, the non-Gaussian fluctuating wind speed sample is divided into a training set and a testing set, and normalization is carried out to the two sets respectively; and training learning is carried out to the LSSVM by the training set, the testing set is used for prediction, fitness of each chromosome in a groups is calculated, whether algorithm convergence criterions are satisfied, a combined solution is put into a set if an optimal parameter combination is satisfied and then the fifth step is started, and otherwise the fourth step will be started. The prediction method of the LSSVM non-Gaussian fluctuating wind speed provided by the invention combines a genetic algorithm and an ant colony algorithm to intelligently extract the optimal parameter combination of the LSSVM in order to establish an optimized LSSVM prediction model and predict the testing set. In this way, a predicted time interval spectrum of the non-Gaussian fluctuating wind speed can be obtained.

The invention belongs to the technical field of servo system model identification and motion control, and discloses a control-oriented permanent magnet synchronous linear motor system identification method, which comprises the steps of: S1, establishing a motor dynamic model; S2, considering an interference environment to obtain model comprehensive description; S3, identifying a positioning force; S4, identifying a friction force; S5, taking a chaotic signal as a driver input signal, and collecting motor speed and position signals; S6, after the influence of nonlinear factors is counteracted by the input signal, acquiring effective excitation, and identifying a linear link transfer function; and S7, completing servo control parameter setting in combination with an identification result. By analyzing the system working principle and the environmental influence, typical nonlinear factors are identified under a servo full-closed-loop condition, and on the basis of separating the typical nonlinear factors, linearized identification of remaining modules is achieved; the problems that a traditional linear identification method is low in identification precision, and a nonlinear identification method is unclear in control strategy and parameter design are solved.

The present invention discloses the non -uniform correction method of remote sensing images, including: according to the visible light near the infrared CMOS camera continuously variable the deep -sea imaging results and radiation response model to obtain the noise function coefficient of each image;According to the imaging results of the CMOS camera on the class of uniform sources at different points and the noise function coefficient of the cmOS camera to obtain the non -uniform correction coefficient of each image;; According to the noise function coefficient and non -uniformity correction coefficient, remote sensing images obtained through remote sensing images obtained by visible light near infrared CMOS cameras, obtained the remote sensing image of the non -uniformity correction of the visible light near infrared CMOS camera.Through the present invention, the non -uniform correction of the CMOS camera that can be visible to the integral time is variable, and the problem of the distortion of the remote sensing image data distortion of the remote sensing image data obtained.

The invention provides a prediction method for creep life of a nickel-based single-crystal superalloy containing Re and Ru, and relates to the field of nickel-based single-crystal superalloys. According to the method, on the basis of a small data set of nickel-based single crystal superalloy components-creep conditions-creep life, machine learning is utilized, and the creep life of the nickel-based single crystal superalloy is predicted through linkage of two models. According to the method, the prediction precision of machine learning on a small data set is improved by coupling a low-precision model and a high-precision model, and the method has reference significance for some complex machine learning problems with less data volume in the field of material science. Besides, the creep life prediction method can be used for rapidly predicting the creep life of the Re and Ru-containing nickel-based single crystal superalloy within the range of components and creep conditions covered by a data set, and has stronger engineering application significance and better prospects in component design and optimization of the nickel-based single crystal superalloy.