628results about How to "Quick solve" patented technology

A presence detector includes an optical emitter for emitting optical radiation, an optical detector for detecting a presence of an object based on receiving the optical radiation, and a microcontroller for controlling the optical emitter and processing the optical detector output, such that a range adjustment and range hysteresis based on the object are provided by software in the microcontroller.

The invention discloses a single-slit spatial carrier shearing speckle interferometry measuring system and a measuring method. The measuring system and the measuring method are characterized in that laser shot by a laser device passes through a beam expander and then irradiate a measured object in the form of diffusion light, diffuse reflection light on the surface of the measured object sequentially passes through an imaging lens, a slit diaphragm, a 4f system and a Michelson type device to be projected onto a target surface of an CCD camera. The measuring system and the measuring method can carry out nondestructive, full-field, rapid and dynamic measurement for the defects and stress deformation of the surface of the measured object and is convenient for field measurement.

The method includes steps: parsing object to be tested, picking up tested information from the object tested; displaying the picked test information, receiving test information input from user; generating test case based on the picked test information and the inputted test information; combining the test case and object to be tested creates testing target codes; running the testing target codes implements test for robustness of software product. The invention also related to device for testing robustness of software product. The invention can realizes automatic generation and automatic extraction for test information of tested object.

The invention discloses a calculating method for dynamic pollution field of complex river network emergent pollution accident. The calculating method provided in the invention comprises the following steps: 1) determining a model to calculate area coverage of the river network according to pollution source positions and a river spatial distribution, dividing river sections and nodes with a software, obtaining a section spatial distribution of the river network; 2) respectively obtaining data 1, data 2, data 3, data 4 and data 5; 3) respectively inputting the data 1-5 obtained in the step 2 to a open water body pollution emergency system with a software number of 2011SR086425, and respectively generating following corresponding data files. The experiments of the calculating method prove that applying the above technical scheme has the following benefits. By applying annular-dendritic mixed river network united solve mode, the one-dimensional river network model developed and applied in the invention can be used in solutions of any river network. And the river network model is characterized by fast and flexible solution.

The invention discloses an embedded multinuclear main controller based on an FPGA (Field Programmable Gata Array) chip in the technical field of robot control. The main controller integrates two main modules, namely a Nios II soft core processor and a DSP (Digital Signal Processing) coprocessor, wherein the Nios II soft core processor communicates with a system clock module, a watchdog and resetting system module, a JTAG interface module, a CAN serial bus control module and a memorizer control module by an Avalon bus module; as a hardware computing core, the DSP coprocessor communicates with a Nios II soft core by the Avalon bus module; and the Nios II soft core is responsible for the movement planning of a robot and the communication of each controller at each joint, and the coprocessor is responsible for kinetic resolving. The embedded multinuclear main controller adopts the Nios II soft core as a communication core and the coprocessor as a computing core to realize the rapid and stable control and reduce energy consumption and the volume.

The invention provides an underwater robot path tracking control method based on model predictive control, which belongs to the technical field of underwater robot motion control. The method includesthe following steps: a discrete time prediction model is obtained according to the kinematics and dynamics models of an underwater robot and is transformed into a regression model, and the parametersare estimated online based on a recursive least square method; an optimized objective function and constraints are determined for a target path point tracking problem by using the model, and an optimal control input sequence is obtained by a projection gradient method; and the optimal control input at the current time is executed on the underwater robot, and the underwater robot is enabled to reach every target path point through continuous iteration. By using the method, path point tracking control can be implemented efficiently and online on an underwater robot, the constraints of control input can be handled, and certain robustness can be maintained in the presence of model uncertainty and external disturbances.

The invention provides a method for improving resolving success rate of medium and long baseline GPS integral cycle fuzziness, and aims to provide a method with advantages of high fuzziness real solution precision and high success rate. The method is realized through a technical solution which is characterized in that the method comprises the steps of setting an elevation mask angle by means of monitoring and measuring software, acquiring rough coordinates of a main measurement station and an auxiliary measurement station, and extracting useful observation data; selecting a reference satellite, comparing observation data of the main measurement state with the observation data of the auxiliary measurement station, establishing a double-difference observation equation by means of the observation data of the main measurement station and the auxiliary measurement station, performing state updating and parameter estimation on an observed equation by means of a Kalman filter, and solving a fuzziness float solution; then, converting the fuzziness float solutions of GPS double-difference carrier L1 and L2, and forming a vector set which comprises a wide lane integral cycle fuzziness and a carrier L1 fuzziness; searching the wide lane integral cycle fuzziness by means of a LAMBDA algorithm, obtaining the integer solution of the wide lane integral cycle fuzziness after fixation, and finally determining the success rate of the resolved fuzziness through a preset threshold, and confirming a correctly resolved integral cycle fuzziness.

The invention provides a cargo allocation method for improving quay crane operation efficiency and ship stability for containers. First, the quantity, size and weight of containers for shipment and departure, the quantity of the ship container positions and the destination port of the containers are determined; then, the decision variable of the ship container position for stacking each container is determined; an objective function of the ship stability and the constraint condition of the quay crane operation efficiency and the ship stability are established; the ship container positions are distributed in advance by utilizing a heuristic algorithm; the ship container position specifically for stacking each container is further determined, and the containers are loaded on a ship and allocated. The cargo allocation method is provided for solving the problems that the optimal stability and the least container loading and unloading frequency are difficult to be both considered according to an allocation schedule and long time is consumed in the making process, the constraint conditions needing to be met by making the cargo allocation schedule are fully considered, wherein the constraint conditions include ship performance, a ship structure, container types and sizes, port operation and the like. A container position distribution result is obtained with the aim of minimizing the ship stability deviation and the loading and unloading operation frequency in the ship unloading operation process.

The invention relates to an automatic generation method of an interactive three dimensional city panoramic map. Based on city morphology and gestalt theory, the method combines roads widening, viewpoint raising, building displacement and building height reducing with optimization method through establishing energy function deviating argument and shielding argument for estimating city space cognition and uses linearization constrained condition energy function to solve minimizing energy function in real time, therefore automatic generation of the interactive three dimensional city panoramic map is achieved. The making method of the three-dimensional digital city panoramic map is characterized by fast visualization speed and little deformation of city scenes, having broad application prospect in city navigation, space position service and the like.

The invention relates to an AC power flow constraint-based uncertainty unit commitment model and a solving method. With the minimum fuel cost sum for a thermal power unit in 24 hours as an optimization target, a chance-constrained method is adopted to describe uncertainty for wind power output, AC power flow model-based network security constraints are built, and thus, the AC power flow security constraint-based uncertainty unit commitment model is provided. In view of the problem that the model is hard to solve, the invention provides a random constraint ordinal optimization method for successfully realizing quick model solution. In comparison with the traditional DC power flow constraint-based uncertainty unit commitment model, the provided model of the invention can effectively reduce the risk of threshold crossing of power grid voltage after large-scale wind power access, effectiveness of current power generation planning decisions is enhanced, the built model can finely calculate system network losses, and data reference is provided for a dispatching person. In addition, the solved algorithm is greatly enhanced compared with the traditional algorithm.

The invention discloses a reverse design method for an impeller of a centrifugal pump, which comprises the following steps: according to a given impeller axial plane, a blade in a three-dimensional space can be actually expressed as X=X(z(u, v), r(u, v), theta(u, v)), the (z(u, v), r(u, v)) has been determined when a streamline of the impeller axial plane is given, and the space modeling of the blade can be determined by determining the theta(u, v) on the impeller axial plane. The reverse design method is characterized in that the reverse design method transforms a geometric design problem of the blade of the centrifugal pump into a boundary value problem of a partial differential equation to solve under the condition of the given impeller axial plane of the centrifugal pump. The reverse design method overcomes a lot of disadvantages such as the definition and modification of geometrical shape of the blade in the prior design method, can realize the parametric design of the blade, overcome the defects existing when a fussy two-dimensional form drawing is used for showing three-dimensional twisted blades in the prior method, can closely combine the hydraulic design of hydraulic machinery, three-dimensional solid modeling and the CFD analysis of flow field, and realize the quick and accurate solving of the reverse problem of the blade.

The invention discloses a day-ahead power generation plan photovoltaic power generation receiving capability analysis method based on SCED. The day-ahead power generation plan photovoltaic power generation receiving capability analysis method based on SCED includes the following steps that based on a physical model and an economic model which access a power grid, under the condition that a regular unit booting and shutting scheme is known, an SCED model is set up; photovoltaic power stations in a zone serve as a specific analysis target, an optimized target of the SCED model is set to be maximum photovoltaic power generation total output power and an optimized model of photovoltaic power generation receiving capability analysis is obtained; non-linear factors in the model undergo linearization; the linear programming method is used for solving the model to calculate out an active power curve of receiving photovoltaic generation of a study area, the photovoltaic generation receiving capability of the power grid is obtained and the maximum grid connection power generating capability in an analysis period of all photovoltaic power stations is obtained. The day-ahead power generation plan photovoltaic power generation receiving capability analysis method based on SCED facilitates pre-control on risks generated after the power grid accesses large-scale photovoltaic power generation and improves safety of operation of the power grid.

The invention discloses a method for solving the equivalent impedance frequency characteristic of an HVDC transmission system converter under various operating conditions and failure conditions, whichcomprises the following steps: according to the fundamental component of voltage between phases of converting buses and the DC component of direct current, and a trigger angle instruction of a DC control system, calculating the actual trigger angle of each converting valve and the delay angle of flow of the converting valve in the converter, and the actual phase-change angle when two phases are converted; then calculating a three-phase voltage switching function and a three-phase current switching function; and by the subharmonic components of the three-phase voltage switching function and the three-phase current switching function, and the equivalent harmonic impedance of an AC network and a DC network, calculating the equivalent harmonic impedances at the AC side and the DC side of theconverter. The method can realize the calculation of the equivalent harmonic impedances at the AC side and the DC side of the converter under various AC operating conditions and failure conditions, reduce the calculation amount and meet the demand on precision in engineering application.

The invention provides an interactive image segmentation method for multiple foreground targets. The method comprises the following steps of: performing linear reconstruction on pixel colors in an image local window, and repeatedly modifying color reconstruction coefficients by using linear projection; repeatedly performing the linear reconstruction on pixel class label vectors in the image localwindow by using the modified color reconstruction coefficients, and estimating to acquire local reconstruction errors; accumulating the local reconstruction errors to acquire a global reconstruction error; building an interactive image segmentation model of the multiple foreground targets; and performing cluster analysis on the same class of pixels which are labeled by a user to acquire a clustering center; acquiring a group of polynomial functions by adopting regression estimation by taking the clustering center as a training sample; mapping the unlabelled pixels by using the polynomial functions to acquire an initial solution; solving the segmentation model; and determining the class attribution of the unlabelled pixels, and outputting a segmentation result. The interactive image segmentation method has a wide application prospect, and the problem that the multiple foreground targets are difficult to segment simultaneously in the prior art is solved.

The invention discloses an urban road traffic accident emergency rescue path planning method which comprises the following steps: 1) generating an urban road network topological structure chart, and obtaining traffic flow data and rescue starting and ending point information; 2) analyzing urban road traffic accident emergency rescue characteristics, and selecting a proper rescue path planning method evaluation index; 3) constructing a basic framework of the timing coevolution path planning, and explaining an optimization principle of the timing coevolution path planning systematacially; 4) designing a suitable solving algorithm based on the operational characteristics of urban road vehicles; 5) defining a calculation method of uncertainty factors in the actual traffic environment of the urban road network; 6) outputting the rescue route planning result through computer programming. The invention can solve the problem of urban road emergency rescue path planning.

The invention discloses a gene chip for detecting tumor mutation load, and a preparation method and a device thereof. The gene chip disclosed by the invention contains probes capturing 811 genes. According to the gene chip disclosed by the invention, according to a tumor genome database, 811 chip capture regions are designed; by specific capture sequencing of the 811 chip capture regions, the change trend of the tumor mutation load in a whole human genome can be truly and effectively reflected, and the method is specially suitable for analysis of the tumor mutation load in Chinese people. Thegene chip can replace traditional full exons for sequencing and detecting the tumor mutation load, shrinks the sequencing data size, reduces the detection cost of the tumor mutation load, shortens thedetection cycle, and provides a relatively cheap, fast, highly efficient and accurate solution for clinical detection of the tumor mutation load. The gene chip and a tumor mutation load detection method based on the gene chip have significant clinical guiding significance for immunotherapy medication.

The invention provides a method for measuring the distance between two ends based on real-time circuit parameter measurement. The method comprises the following steps: 1) when a power transmission circuit has a failure, a data collection device synchronously samples voltage and current signals of two ends of the circuit, and completes alignment of sampled data on two sides of the power transmission circuit; 2) the voltage and current values before the circuit has the failure are substituted into a parametric equation to acquire real-time circuit parameters; and 3) the real-time circuit parameters and the voltage and current values at the failure moment are substituted into a dual-end voltage linear distributional equation to acquire the distance from the transmission circuit failure pointto a reference point. By utilizing the method, the distance measurement accuracy is high, and is not influenced by the environment surrounding the circuit, weather and other factors, so that distancemeasurement errors caused by inaccurate circuit parameters are avoided. By searching the rule of voltage linear distributed equation, a dual-end distance measurement equation can be quickly solved with small calculated amount, and non-convergent result or false root which possibly exists in the conventional solving method cannot occur. In the method, the launched data collection device is utilized, but a new device is not required.

The invention relates to an online steelmaking continuous casting control method, belonging to the technical field of steelmaking continuous casting; the method comprises the following steps: an interface management server is in network connection with a site controller, and stores the acquired various state information and process data in a database after data processing and format conversion, and also stores the production method delivered by the upper system in the database; a database server stores the production site real-time process data, planning data and various system configuration data in the database; an application server executes the steelmaking continuous casting production online control method, acquires data from the database server and stores the regulation result in the database; a client workstation displays various data, conducts the query of routine data, stores the data in a local computer and accordingly realizes the offline analysis of data; the online steelmaking continuous casting control method has high solving speed, higher automation degree, can preciously adjust to minutes, reduce the manual adjusting times and molten steel redundant waiting time.

The invention relates to an external parameter calibration method for a camera and laser radar combined sensor, which comprises the following steps of: aligning the combined sensor to a calibration device, and performing primary scanning to obtain a first coordinate of the calibration device in a laser radar coordinate system, a second coordinate of the calibration device in an image coordinate system and a third coordinate of the calibration device in a camera coordinate system; obtaining a first transformation matrix from a calibration device coordinate system to the laser radar coordinate system through the first coordinate and the second coordinate; obtaining a second transformation matrix from the camera coordinate system to the calibration device coordinate system through a third coordinate and the second coordinate; and obtaining an external parameter matrix from the camera coordinate system to the laser radar coordinate system through the first transformation matrix and the second transformation matrix. The method is simple and convenient to operate and simple in calculation, calibration equipment is easy to obtain, and the result precision and the optimization of the method are improved.

A cone optimization modeling method for allowing distributed stored energy to participate in running adjustment of an active power distribution network comprises the steps that (1), element parameters of the active power distribution network to be adjusted in an optimization mode are read; (2), according to the parameters provided by the step (1), a time sequence optimization model is established for allowing the distributed stored energy to participate in running adjustment of the active power distribution network, wherein an objective function with the minimum active loss is set, and the running constraint of the power distribution network and the running constraint of an energy storage system are each considered; (3), according to the standard form min {cTx / Ax=b, x<K} for second-order cone optimization, cone model conversion is performed on the time sequence optimization model in the step (2), wherein linearization is performed on the running constrain of the objective function and the running constraint of the active power distribution network, cone conversion is performed on the capacity constraint of stored energy inverters, and a non-linear rotating cone constraint is introduced. The complexity degree of an optimization model function relation is greatly lowered, and meanwhile the requirements for rapid convergence and optimal solving are met.

The invention provides an equivalent coordinative optimization method for a large-scale power grid dispatching plan. The optimization method comprises the steps as follows: (1) a large power grid is divided into a plurality of regional power grids, and the regional power grids are taken as equivalent nodes; (2) the regional power grids submit information of the equivalent nodes to the whole grid; (3) the whole grid determines a generation dispatching plan under the equivalent regional power grids, and issues a connecting line plan between the regions, planned total output of the regional power grids and a plan of a direct dispatching set; (4) the regional power grids calculate and determine output plans of regional sets according to the planned total output of the regional power grids, and calculate locational marginal cost; and (5) whether full-grid optimization is converged or not is judged through the marginal cost of two ends of a connection line, if so, calculation is ended, if not, the set which affects the grid security constraint corrects output bounds according to the optimization result and turns to the step (2). The iteration times can be controlled; the convergence is rapid; and rapid determination of the large power grid dispatching plan can be achieved.

The invention discloses a green wave bandwidth maximization-based artery green wave coordination control timing method. The method comprises the following steps: (1) investigating geometry setting parameters and basic timing parameters at signal intersections of an artery, and calculating conversion distances Di between the intersections; (2) calculating the value ranges and the iterative steps of ideal signal distances to obtain a value set A of the ideal signal distances; (3) partitioning the relative positions of ideal signals, based on the calculating rule of green wave loss, calculating the largest green wave bandwidths GWBj of the artery under all possible ideal signal distance values Aj; (4) selecting the largest value among GWBj as the optimal green bandwidth GWB*, and calculating the green time difference of each intersection so as to obtain a coordination control timing scheme with the largest artery green wave bandwidth.

The invention discloses a real-time dynamic distributed Brillouin fiber sensing device and method, belongs to the field of optics, and aims at solving a problem that a conventional real-time dynamic distributed Brillouin fiber sensing system cannot carry out real-time monitoring. A light beam outputted by a laser is divided by a coupler into two laser beams. An upper laser beam is outputted by any function generator AFG3252 as a square pulse modulation signal for modulation, and then is amplified as pump light. The pump light enters a to-be-detected optical fiber. An X-band up-conversion module is used for carrying out the up and down side-frequency modulation of the lower laser beam. After up and down side-frequency modulation, the lower side frequency of the beam is filtered as detection light through an FBG (Fiber Bragg Grating), and the detection light enters the to-be-detected optical fiber in the other direction. In the to-be-detected optical fiber, the Brillouin amplification of the detection light and pump light meeting the Brillouin amplification condition happens. According to the time of returning to a photoelectric detector, the device and method determine the position of SBS action in the to-be-detected optical fiber, and solves the temperature or strain of different positions at the same time. The device and method achieve the real-time dynamic distributed Brillouin fiber sensing.

The invention discloses a general calculation method for inverse kinematics of serial robots. The general calculation method comprises the following steps of classifying and simplifying a plurality of types of robot moving joints to establish a uniform robot moving joint kinematic model; performing two-dimensional processing on robot working configuration according to a planar processing method, classifying and dividing formed planar configurations on the basis and respectively establishing automatic planar configuration working space calculation methods; and performing configuration plane matching on any robot configuration to solve the inverse kinematics of the serial robots. The method overcomes the defects of the limitation and specificity for solving the robot configuration by the traditional analytic method, and solves the problems of non-instantaneity and low accuracy of a general iterative method, can quickly and accurately solve the inverse kinematics of the robots, and meets the requirement for calculating the general robot kinematics and the actual requirement on robot motion control.

The invention relates to a crack performance measurement and optimization solution method for a composite material glue joint structure and belongs to the field of technical research in aeronautical material science. The method comprises the following steps: 1, establishing a crack propagation constructive relation model; 2, designing glue joint layer crack propagation tests by combining constructive relation forms; 3, reversely measuring glue joint layer crack propagation performance parameters by utilizing the multi-variable optimization method, and establishing a complete interface crack propagation mathematic model and analysis method. The crack performance measurement and optimization solution method for the composite material glue joint structure is high in calculation precision and speed, the established crack propagation constructive relation is simple and easy to use, the wide practical application value is achieved, and processes of damage start, material degradation, crack generation and crack propagation of bonding layer materials can be completely revealed.

A nonlinear multi-target range robust optimization based automobile noise reduction method comprises the steps of 1, conducting mathematical modeling for performance indexes, determining design variables of an automobile structure, determining a noise index at an observation point according to finite element calculation results, and establishing a multi-target optimization model; 2, describing all uncertain parameters of a system with ranges; 3, on the basis of range order relations and sensitivity analyses, conducting robustness processing of objective functions on the noise index; 4, on the basis of range possibility degrees, conducting feasible robustness conversion on constraint conditions; 5, converting a two-layer nesting optimization problem into a conventional single-layer optimization problem with an improved Taylor expansion method; and 6, solving the converted certainty multi-target optimization problem, and determining design values of all components of an automobile to achieve the optimal noise reduction effect. By the aid of the method, the automobile noise reduction problem containing range parameters can be solved systematically, the insensitivity to parameter fluctuations is improved, and the usage safety of the automobile structure and the stability of the noise reduction performance are improved.

The invention provides a 220kV power grid structure planning method considering differentiation scenes, and relates to a grid planning method. The method comprises the steps that 1) a number of planning scenes are generated according to the reliability level difference of a power grid and the new energy access proportion difference; 2) the minimum integrated investment is used as a planned objective function, and mathematical modeling is carried out on the planned objective function; 3) different admittance matrices are generated for different planning schemes; and 4) the optimal grid sequence in the 220kV power grid planning method is acquired, and multiple planning scenes are generated according to the reliability level difference of the power grid and the new energy access proportion difference. According to the technical scheme, the minimum integrated investment is used as the objective function to carry out mathematical modeling; different admittance matrices are generated for different planning schemes; a genetic algorithm is used for solving; and compared with the prior art, the method provided by the invention comprehensively considers constraint differences in the power system planning, and has better adaptability when the fluctuation range of each constraint index in different scenes is larger.

The invention discloses a multi-omics cancer data integrating and analyzing method based on similarity fusion. The method comprises the steps of calculating a local similarity network, fusing multiplelocal similarity networks, typing according to a global similarity network, and backtracking the characteristic in an original data source according to the global similarity network. Compared with the prior art, the method is advantageous in that through modeling a similarity network connecting path which gradually advances, a fusion algorithm of multiple similarity networks is realized; a more complicated network structure can be described; and higher accuracy and higher stability are realized. Through a consistent alternating multiplier method, quick solving of a network fusion model is realized. The multi-omics cancer data integrating and analyzing method has advantages of utilizing the integrated global similarity network to typing of a cancer patient, obtaining types of the patientswith substantial prognosis difference, and combining with a multi-group characteristic selecting method for screening the key target characteristic. The selected characteristic has a potential of becoming a latent biological marker.