30results about How to "Improve solution accuracy" patented technology

The invention provides a measuring and calculating method for a modulation transfer function of a satellite-borne camera, and relates to the technical field of space optics. According to the method,the problem that according to an existing method that a modulation transfer function is measured and calculated through point light sources, a parametric model is needed for approximation and fitting. Firstly, multiple point light source targets are laid before satellite transit, then images corresponding to point light sources are intercepted in captured images, after the background luminance value is removed, a two-dimensional point spread function is directly solved by the adoption of a regularization solving method according to an imaging mathematical model, and finally a modulation transfer function is calculated through the point spread function. The measuring and calculating method is easy to implement, the data processing process is simple, convenient and precise, and the method has a great significance in imaging quality assessment of the satellite-borne camera and has broad application prospects.

The invention discloses a cutter wear state recognition and prediction method based on a hidden Markov model. The method comprises: extracting signal features; obtaining 41 signal characteristic quantities through screening; dividing the cutter abrasion stage into an initial abrasion stage, a stable abrasion stage, a rapid abrasion stage, a serious abrasion stage and a wear-out stage; constructinga wear stage identification model; constructing a cutter remaining service life prediction model; performing online wear stage identification and residual service life prediction: collecting a tool machining process signal in real time in an online link, extracting characteristic quantities according to a model training process, and respectively inputting the characteristic quantities as observation sequences into a wear stage identification model and a residual service life prediction model for stage identification and residual service life prediction; and model training updating: repeatingthe steps S1 to S6 on the new signal and the tool wear state data along with monitoring data accumulation, and updating the wear stage identification model and the remaining service life prediction model. Reference is provided for online identification and prediction of the tool wear state.

The invention relates to a digital signal processor (DSP)-based rotating machine vibration detection and protection system. The system mainly comprises a power module, a sensor power supply module, a sensor signal acquiring and conditioning module and a microprocessor microprogrammed control unit (MCU) module, wherein a DSP module is arranged between the sensor signal acquiring and conditioning module and the microprocessor MCU module and is used for processing a sampled signal; the microprocessor MCU module is used for determining a corresponding numerical value signal processing algorithm of the DSP module according to conditions of different sensors, control modes and the like; and the DSP module is used for transmitting processed data to the microprocessor MCU module through a host port interface (HPI). In the system, a DSP is used as a vibration signal operation central processing unit (CPU), so that vibration signals can be acquired at a high speed; and the DSP has high signal processing capability, so that calculation accuracy is improved, a state monitoring and protecting function can be quickly finished, and the operation load of an upper computer is reduced.

The application of finite differences methods to solve boundary value problems typically involves a discretization of such a problem across an orthogonal array of discrete grid points. This leads to an array of difference equations which is solved numerically within the constraints of the boundary conditions to yield solutions at the grid point locations. However, the accuracy of the solutions is limited with conventional finite differences methods when the boundary conditions are not represented exactly within the orthogonal array of discrete grid points, as when the boundary conditions are curved or slanted surfaces. The invention described herein provides finite differences methods for solving boundary value problems more accurately than with conventional finite differences methods, particularly when curved or slanted boundary surfaces correspond to terminations of a known analytical function.

The invention provides a rock strata movement value simulation automation modeling method, and belongs to a rock strata movement value simulation method. As being subdivided, modeling task falls into three modules including a data input and storage module, a data computing module and a language output module. The data input and storage module comprises a user interface, a software interface and a file layout. The data computing module comprises rock strata point coordinate computing, joint initial point coordinate computing, and joint length and interval computing. The language output model comprises model framework output, mechanical property assignment output, and boundary condition and initialization output. According to real rock strata conditions, original data are input through a first module, modeling computing is performed through a second module, and the first module stores modeling results; and the modeling results are converted into numerical simulation software language codes through a third module and output as files, and the automation modeling of mine ground pressure value simulation rock strata movement. The rock strata movement value simulation automation modeling method has the advantages that the good user interface enables the modeling work to be easy to do, numerical simulation software language is output automatically and stored to be callable files, and modeling work efficiency and model calculating accuracy are improved.

The invention discloses a multi-spectral polarization navigation system with environment adaptability, which is mainly used for polarization spectrum detection of different wavebands in different environments, and aims to improve the environment adaptability of an existing polarization navigation system. The system mainly comprises a light shield, an outside environment sensing module, a satellite navigation module, a self-adaptive, adjustable and multi-spectral light filtration module, a polarization detection sensor module, an inertial navigation module, a wireless data transmission module and a control module; the polarization detection module is a six-channel polarization detection sensor based on a beam splitter prism, and enhanced photovoltaic conversion chip is adopted as a detection chip, so that high-precision polarization information calculation can be performed under optical filters with different wavebands. The self-adaptive, adjustable and multi-spectral light filtration module comprises optical filers with three wavebands of ultraviolet, blue light and green light and can realize automatic switching by analyzing information fed back by the outside environment sensing module and the satellite navigation module.

The invention discloses an optical image phase unwrapping method based on a U-Net segmentation network. The method comprises the following steps of step 1, generating an optical image with an unwoundphase by using a Zernike polynomial; step 2, performing phase winding operation by using the optical image with the unwound phase to obtain a phase winding image; step 3, training the model by using aU-Net segmentation network; and step 4, performing optical image phase unwrapping by using the trained model. According to the method, the U-Net segmentation network is utilized, and the method is high in pertinence and mainly aims at phase unwrapping of optical images. The phase unwrapping method based on the U-Net segmentation network has a great application prospect in the field of optical imaging research, and the pixel segmentation accuracy is very high, so that the solving accuracy is also very high. And meanwhile, the solving time is only 0.037 second in the environment of CPU (centralprocessing unit) i5-8600 K and GPU NVIDIA TITAN Xp.

The invention relates to a method for electric power system dynamic economic dispatching with correlation of multiple wind power plants being considered. The method comprises the steps of putting forward a method for generating joint distribution of power output among the multiple wind power plants based on a Copula function, constructing a two-stage band compensation power grid dynamic economic dispatching model based on the distribution, introducing a compensation expected value into an objective function, and solving the compensation expected value by using integration so as to enable the compensation expected value to be converted into a numerical model from a stochastic model, that is, enabling two-stage band compensation dynamic economic dispatching to be converted into a numerical model from a stochastic programming model, thereby quantifying impact imposed on a power grid by a stochastic property of the wind power plants, and solving optimal unit output which satisfies the objective function and the minimum impact simultaneously. According to the invention, solving is carried out by adopting the two-stage band compensation dynamic economic dispatching model, and the solving accuracy of the model is improved.

The invention relates to particle swarm optimization based aerial conductor's double end out-synchronization fault location method with the object to solving a fault location observing equation set and the method comprises the following steps: extracting the three phases of voltage and current power frequency components at the starting end and the finishing end of a line after an aerial conductor breaks down; performing symmetrical component transformation to the work frequency components to obtain corresponding zero sequence component, positive sequence component and negative sequence component; building fault point voltage equations by considering the impact of the out-synchronization of data; decoupling the fault point voltage equations to obtain the fault location observing equation set; and based on the particle swarm optimization, solving the fault location observing equation set and determining the fault location. Compared to the prior art, the method is capable of effectively and accurately finding the location of a fault with limited calculations. With the prospects for wide use, the method is also convenient to calculate.

The invention relates to the field of navigation, and provides a universal integrated navigation system which comprises an integrated navigation module and a universal interface circuit. The integrated navigation module is at least used for completing inertial navigation calculation by utilizing the measurement data of the gyroscope and the accelerometer and completing integrated navigation calculation by combining the measurement data of the sensor. The integrated navigation module comprises a hardware layer and a software layer, and the hardware layer is connected with the universal interface circuit and supports operation of the software layer. The universal interface circuit is at least used for connecting sensors of different interface types and other system external devices. The universal interface circuit can be directly connected to sensors in most navigation related industries, and can be conveniently applied to airborne, vehicle-mounted, shipborne and underwater integrated navigation.

The invention discloses a buoy platform for ground-wave radar, and belongs to the technical field of ground-wave radar. According to the platform, a plurality of small floating bodies are combined into a large floating body in a multihulled ship form, anchor chains are mounted in the direct flow direction of the floating bodies, and a buoy is prevented from rotating through single-point mooring. A ground-wave radar receiving antenna array is mounted on a deck, a ground-wave radar transmitting antenna is mounted in the center of the deck of the buoy platform, and the transmitting antenna is tightened and fixed to the deck through three chemical fiber ropes, and provided with a lightning rod and a beacon light. A closed instrument cabin and a battery cabin are symmetrically embedded in the deck, a solar cell array is further mounted on the deck, and the deck is provided with various communication antennas and sensors. A mounting platform of the ground-wave radar is transferred to the buoy platform from the land and an island, the arrangement and detection range of the ground-wave radar is widened, and the ground-wave radar can be mounted in any sea area.

The invention provides a digital projector gray nonlinearity correction method, a storage medium and a projection system. The method comprises the following steps: generating an ideal grayscale image sequence by using a computer, collecting grayscale images by using a camera, solving an actual grayscale mean value Ik by using N groups of actual grayscale images, drawing a grayscale mean value curve comprising a linear part and a nonlinear part, and fitting the grayscale mean value curve to obtain a mapping relation between an ideal projection grayscale and a corrected ideal grayscale, obtaining a value table of actual gray under different current values, establishing a two-dimensional corrected ideal gray correction lookup table taking the ideal gray before current correction as a variable, and generating a sine curve by using the corrected ideal gray value and projecting the sine curve. According to the method, nonlinear correction can be directly carried out on the projection image of the projector, and the method is also suitable for changing the brightness of the projector, so that the accuracy of collecting the gray scale of the stripe image is improved, and the solving accuracy of phase information is greatly improved.

The invention provides a high-precision BeiDou monitoring pile with an electronic gyroscope integrated. The high-precision BeiDou monitoring pile comprises a monitoring pile body, a DTU and a GNSS receiving machine, a GNSS measuring antenna fixed to the top of the monitoring pile body and a photovoltaic power supplying system fixed to the monitoring pile body, wherein the DTU and the GNSS receiving machine are installed in the monitoring pile body. The DTU is connected with a COM interface of the GNSS receiving machine through a serial port line; the GNSS measuring antenna is connected with anANT interface of the GNSS receiving machine through an antenna connecting line; the photovoltaic power supplying system is connected with the DTU and the GNSS receiving machine through a power line correspondingly to supply power for equipment. An electronic gyroscope, a GNSS board card and an MCU are integrated on a PCB main board of the GNSS receiving machine to improve the positioning precision and the timeliness of the BeiDou monitoring pile. According to the high-precision BeiDou monitoring pile with the electronic gyroscope integrated, the GNSS measuring antenna receives BeiDou navigation satellite signals, and the signals are transmitted to the mainboard of the GNSS receiving machine to be decoded; the GNSS receiving machine uses satellite data received by the DTU and real-time information of the electronic gyroscope and sends the satellite data and the real-time information to a server synchronously, and real-time auxiliary correction of a GNSS resolving result is realized, sothat high-precision monitoring is achieved.

The invention provides a converting method of horizontal displacement monitoring deformation amount of a sectional dike, and belongs to the field of water conservancy project management and deformation monitoring. The converting method is mainly used for solving the problem of how to convert the monitoring deformation amount to the amount of deformation perpendicular / parallel to the axis directionof the dike after multi-period coordinates of monitoring points are measured. Aiming at solving the problem, the converting method of the horizontal displacement monitoring deformation amount of thesectional dike is designed according to the relationship among the deformation direction, the section direction and the axis direction of the dike, thus the monitoring deformation amount can be accurately converted to the amount of deformation perpendicular / parallel to the axis direction of the dike, and the deformation direction is indicated. Meanwhile, the converting method is suitable for deformation monitoring work of horizontal displacement of the sectional dike, and can be applied to a GPS deformation monitoring system, a measurement robot monitoring system and the like.

The invention discloses a transformer area three-phase imbalance treatment method and system based on multi-objective optimization. The method comprises the following steps: building a multi-objective optimization commutation mathematic model considering the minimum three-phase current imbalance degree and the minimum commutation frequency, and solving an optimal solution set through employing a mathematic optimization method; and selecting an optimal solution from the optimal solution set according to the emphasis target, and obtaining a treatment scheme corresponding to the optimal solution. The scientific manual phase modulation scheme is provided, the three-phase imbalance treatment of the transformer area can be quickly and effectively realized, the solving accuracy of the optimal commutation strategy is improved, the economic cost is considered, and the method and the system has better applicability and generalization performance. The technical problems that the existing three-phase imbalance treatment of the power distribution area is lack of scientific guidance, and the three-phase imbalance treatment of the area can be quickly and effectively realized while the economic cost is considered are solved.

The invention relates to an unberthing and berthing operation parameter calculation method based on machine vision, comprising the steps as follows: pre-establishing a ship coordinate system, an image coordinate system, a camera coordinate system and a sign source coordinate system, measuring the distance between a ship bow reference point and a ship stern reference point and the distance between a camera installation position and the ship bow reference point, and acquiring the course angle and pitch angle of the camera at the time when the camera images a sign on the shore; calculating the translation vector from the identifier source coordinate system to the camera coordinate system; calculating the euler angles of the ship coordinate system and the sign source coordinate system; calculating unberthing and berthing operation parameters according to the parameters above, judging whether unberthing and berthing operation ends, and if unberthing and berthing operation does not end, calculating the unberthing and berthing operation parameters again until unberthing and berthing operation ends; and if unberthing and berthing operation ends, ending calculation. The method ensures that a sign on the shore can be imaged within a limited camera field-of-view scope, broadens the constraint on the field of view of the camera and the ship-shore pose relation, and improves the accuracy of unberthing and berthing operation parameter calculation. The calculation process is simple, and the calculation burden is low.

The invention discloses an image segmentation method based on a directional crossover genetic algorithm and a two-dimensional maximum entropy threshold segmentation algorithm. The method comprises thesteps of: obtaining an image and calculating a two-dimensional histogram; generating an initial population; calculating fitness values and preserving elite individuals; setting algorithm parameters;performing genetic manipulation on the population which includes selection, directed crossover, mutation, and calculating the fitness value of mutant individuals; retaining elite individuals; judgingwhether the termination condition is satisfied; if the condition is satisfied, obtaining the optimal individual as a threshold for image segmentation;. if the condition is not satisfied, returning tothe genetic operation step. The invention extends the directional crossing genetic algorithm to the two-dimensional case and combines the algorithm with the two-dimensional maximum entropy image segmentation, solves the problem that the genetic algorithm has blindness when the image threshold value is optimized, and greatly improves the speed and accuracy of image segmentation using the genetic algorithm.

The invention provides a water circulation intelligent sensing and monitoring system based on micro reasoning. The system comprises a processor module, wherein the data end of the processor module is connected with a feature knowledge base module, an intelligent sensing module and an intelligent control module, the intelligent sensing module is connected with the feature knowledge base module through a conversion module, the feature knowledge base module comprises a micro reasoning unit, a feature knowledge base unit and a feature knowledge graph unit, and the data end of the feature knowledge graph unit is connected with the micro reasoning unit, the feature knowledge base unit and the conversion module. The invention aims to solve the technical problems of low precision, low efficiency, long time consumption and complex operation of the existing water environment monitoring and control method and improve the water environment monitoring efficiency and intelligent level, and provides the water circulation intelligent sensing and monitoring system based on micro reasoning.

The invention discloses a measure method for confirming a roll angle of a revolving body target based on a spiral line method. The measure method comprises the following steps: Step S1: Obtaining an angle corresponding to an image center line of the revolving body target based on a traditional spiral line method of measuring the roll angle; Step S2: determining a point on the image center line of the revolving body target, and calculating the azimuth angle and the pitching angle, and obtaining the direction vector of the connecting wire of the point and a camera origin; Step S3: using a cosine matrix to create a carrier coordinate system without regard to the effect of the roll angle, and projecting the direction vector obtained in the Step S2 to the carrier coordinate system, and obtaining the projection vector corresponding to the direction vector; Step S4: calculating the planimetric projection vector formed by the revolving body target center line and the spiral line initiative generating line in the carrier coordinate system, and calculating the included angle of the plane and the projection vector obtained in the Step S3; and Step S5: calculating the difference value of the angle corresponding to the image center line of the revolving body target in the Step S1 and the included angle value in the Step S4.

The invention provides a gray scale non-linear correction method, storage medium and projection system of a digital projector. The method includes using a computer to generate an ideal gray scale image sequence, collecting gray scale images with a camera, and calculating the actual gray scale from N groups of actual gray scale images. degree mean I k , draw the gray mean curve including the linear part and the nonlinear part and fit the gray mean curve, obtain the mapping relationship between the ideal projected gray level and the corrected ideal gray level, and obtain the actual gray level under different current values value table, establish a two-dimensional corrected ideal gray level correction lookup table with the ideal gray level before current correction as a variable, and use the corrected ideal gray level value to generate a sinusoidal curve and project it. The method of the invention can directly perform non-linear correction on the projected image of the projector, and is also applicable when the brightness of the projector changes, thereby improving the accuracy of grayscale collection of fringe images, thereby greatly improving the accuracy of solving phase information.

The invention discloses a high-precision flow field solving method for triangularized grids with a large length-width ratio, and the method comprises the steps: A, generating an unstructured network,and enabling grid units in the unstructured network to be triangular grids; B, initializing an unstructured network, and reading parameters of the unstructured network; C, calculating an area weighting center of each grid unit in the unstructured network; D, replacing the geometric center of each grid unit with a corresponding area weighting center, and reconstructing each grid unit; step E, constructing a space term based on the reconstructed unit variable and derivative information thereof; and step F, calculating a flow field by using an integral solver based on the space item constructed in the step E. According to the method, high-order precision of flow field solving can be guaranteed, calculation errors are reduced, the solving accuracy of the flow field is effectively improved, unification of grid generation automation and numerical simulation precision on the triangularized grid with the large length-width ratio is preliminarily achieved, and numerical expression of a solver is improved.

A water cycle intelligent perception and monitoring system based on differentiable reasoning, which includes a processor module, the data terminal of the processor module is respectively connected with a feature knowledge base module, an intelligent perception module, and an intelligent control module, and the intelligent perception module is connected with the feature through the conversion module. The knowledge base module is connected; the feature knowledge base module includes a differentiable reasoning unit, a feature knowledge base unit, and a feature knowledge graph unit, and the data end of the feature knowledge graph unit is connected with the differentiable reasoning unit, the feature knowledge base unit, and the conversion module. The purpose of the present invention is to solve the technical problems of low precision, low efficiency, long time-consuming and complicated operation of the existing water environment monitoring and control methods, and to improve the water environment monitoring efficiency and intelligence level, and provides a differentiable reasoning-based method. Water cycle intelligent perception and monitoring system.

The invention discloses a continuous-discrete maximum correlation entropy target tracking method based on a variational Bayesian theory. The continuous-discrete maximum correlation entropy target tracking method comprises the following steps: establishing a continuous-discrete tracking model; introducing a square root tracking method; a time updating process of the SRCD-VBMCCKF target tracking method is established; establishing a measurement updating process of the SRCD-VBMCCKF target tracking method; and an SRCD-VBMCCKF target tracking method of any motion time is established. According to the method, unknown time-varying noise and non-Gaussian heavy tail mutation noise in measurement can be effectively suppressed, and compared with a traditional filtering method, the method has adaptability and robustness.

The application of finite differences methods to solve boundary value problems typically involves a discretization of such a problem across an orthogonal array of discrete grid points. This leads to an array of difference equations which is solved numerically within the constraints of the boundary conditions to yield solutions at the grid point locations. However, the accuracy of the solutions is limited with conventional finite differences methods when the boundary conditions are not represented exactly within the orthogonal array of discrete grid points, as when the boundary conditions are curved or slanted surfaces. The invention described herein provides finite differences methods for solving boundary value problems more accurately than with conventional finite differences methods, particularly when curved or slanted boundary surfaces correspond to terminations of a known analytical function.

The invention discloses an optical image phase unwrapping method based on a U-Net segmentation network. The present invention comprises the following steps: Step 1, using Zernike polynomials to generate phase-unwrapped optical images; Step 2, utilizing phase-unwrapped optical images to perform phase-wrapping operations to obtain phase-wrapped images; Step 3, utilizing U-Net to segment network training Model; step 4, using the trained model to unwrap the phase of the optical image. The present invention utilizes the U-Net segmentation network, and the method is highly targeted, and is mainly aimed at phase unwrapping of optical images. It has a great application prospect in the field of optical imaging research, and the phase unwrapping method based on the U-Net segmentation network proposed by the present invention has a high pixel segmentation accuracy rate, so that the solution accuracy rate is also high. At the same time, in the environment of CPU i5-8600K and GPU NVIDIA TITAN Xp, the solution time is only 0.037 seconds.

The invention discloses a GNSS deformation monitoring method and system. The method comprises the following steps: calculating a double-difference residual error of a satellite according to a double-difference observation equation; converting the double-difference residual error into a single-difference residual error; calculating a repetition period of each satellite; calculating the single-difference residual error of one period according to the single-difference residual error combination of the adjacent previous several periods of each satellite; carrying out empirical mode analysis on the single-difference residual error obtained by merging calculation to obtain a multi-path error of each satellite; and eliminating the multi-path error of each satellite in the baseline resolving process.