119results about How to "Simple modeling method" patented technology

The invention discloses an image type fire flame identification method. The method comprises the following steps of 1, image capturing; 2, image processing. The image processing comprises the steps of 201, image preprocessing; 202, fire identifying. The fire identifying comprises the steps that indentifying is conducted by the adoption of a prebuilt binary classification model, the binary classification model is a support vector machine model for classifying the flame situation and the non-flame situation, wherein the building process of the binary classification model comprises the steps of I, image information capturing;II, feature extracting; III, training sample acquiring; IV, binary classification model building; IV-1, kernel function selecting; IV-2, classification function determining, optimizing parameter C and parameter D by the adoption of the conjugate gradient method, converting the optimized parameter C and parameter D into gamma and sigma 2; V, binary classification model training. By means of the image type fire flame identification method, steps are simple, operation is simple and convenient, reliability is high, using effect is good, and the problems that reliability is lower, false or missing alarm rate is higher, using effect is poor and the like in an existing video fire detecting system under a complex environment are solved effectively.

The invention discloses a method for uniquely solving the inverse kinematics numerical value of the joint type mechanical arm, belongs to the technical field of modern intelligent manufacturing, relates to the technical field of industrial robots, relates to a method for uniquely solving the inverse kinematics numerical value of a joint type six-degree-of-freedom mechanical arm with shoulder joints facing forward. According to the method, a mechanical arm joint coordinate system is built according to an improved DH parameter method, four structural geometrical parameters between adjacent joints of the mechanical arm are determined, a homogeneous coordinate transformation matrix of two adjacent coordinate systems is calculated. For a given pose matrix of a tail end coordinate system O6, animproved newton iteration method, namely a Levenberg marquardt iterative algorithm is adopted, the inverse kinematics solution of the joint coordinate system is calculated by using a jacobian matrix J, and the six joint rotation angle values theta i which correspond to the pose matrix and meet the precision requirement are obtained. The method overcomes the requirement that a traditional newton iteration method needs to fully rank the jacobian matrix j, the modeling method is simple, clear and effective, the method has the characteristics of being high in solving precision, high in solving speed and simple and feasible in solving process.

The invention relates to a wind electric power prediction method and a device thereof. The method comprises the following steps of: step one: extracting data from SCADA (Supervisory Control and Data Acquisition) relative to a numerical weather prediciton system or a power system, and carrying out smoothing processing on the extracted data; step two: determining input and output of training samples of a least squares support vector machine according to the processed data; step three: initializing relevant parameters of a smallest squares support vector machine and an improved self-adaptive particle swarm algorithm; step four: optimizing model parameters according to an optimization process; step five: acquiring a model of the smallest squares support vector machine according to the optimized parameters; and step six: carrying out prediction according to the model of the smallest squares support vector machine. According to the wind electric power prediction method disclosed by the invention, a modelling process is simple and practical, wind electric power can be rapidly and effectively predicted, and the wind electric power prediction method has an important significance on safety and stability, and scheduling and running of the electric power system, and therefore, the wind electric power prediction method has wide popularization and application values.

The invention provides a real-time recognition method for overflow and leakage based on the random forest, which comprises the steps of (1) automatically generating an overflow and leakage original data set; (2) preprocessing the overflow and leakage data set so as to enable the overflow and leakage data set to become a training data set capable of being applied to a random forest algorithm; (3) generating overflow and leakage sub-datasets based on a Bootstrap sampling technology; (4) creating a classification tree for each sub-dataset by adopting a CART algorithm; and (5) collecting prediction results of n trees for a new sample, deciding the category by adopting a voting mode, and recognizing the occurrence of overflow and leakage by using a voting result of the classification trees. Themethod provided by the invention automatically judges the drilling state according to real-time drilling data, calculates the expected wellhead flow and compares the expected wellhead flow with the measured wellhead flow, thereby being capable of performing real-time judgment on overflow and leakage occurred at different drilling states. The real-time judgment method for overflow and leakage based on the random forest is simpler in modeling method and more accurate in prediction for accidents.

The invention discloses a quantitative analysis method of the influence of a joint centralization error on locating precision of a multi-freedom-degree mechanical arm tail end. The quantitative analysis method comprises the steps that (1) modeling is carried out on the joint pose transformation of a mechanical arm, and pose transformation matrixes of connecting rods are built through a D-H representation method; (2 ) modeling is carried out on the joint centralization error of the mechanical arm; (3) a centralization error model is guided in, the initial position poses of joints are determined, and the initial positions of the joints are determined; (4) analog simulation of the influence of the joint error on the motion position of the tail end is analyzed through a Monte Carlo method; (5) the position distribution diagram of end effectors is drawn according to the step (4), statistics is carried out on distribution characteristics, and the influence is evaluated. The method has the advantages of being simple in principle, easy and convenient to operate, high in precision and the like.

The invention discloses a method and device for analyzing the nonlinear process of earthquake response of urban building groups. The method comprises the following steps of: collecting building data;obtaining models corresponding to the building data according to the building data; establishing a multi-particle shear series model or a multi-particle parallel shear bending coordination model corresponding to the building data according to the models corresponding to the building data; through the multi-particle shear series model or the multi-particle parallel shear bending coordination model,carrying out nonlinear process calculation according to acceleration time history data of earthquake ground motion, which are input by the buildings to obtain nonlinear process calculating results; and obtaining the earthquake damage state and analysis results of each floor of each building according to the nonlinear process calculation results. The method has the advantages that the earthquake damage characteristics of buildings at different heights can be accurately reflected and are closer to the actual earthquake damage; and the method is high in calculation efficiency and simple in modeling method and can be used for accurately and timely predicting and analyzing the earthquake damage of urban typical earthquake scenarios.

The invention provides a variational integral-discretization Lagrange model-based Buck-Boost converter modeling and nonlinear analysis method. The invention relates to a Buck-Boost converter modeling and nonlinear analysis method. The method of the invention is used for solving the problem that operation of a discrete iterative model is complex because the calculated quantity of an established stroboscopic mapping model is large. The method of the invention is realized by the steps as follows: 1) establishing an Euler-Lagrange function; 2) establishing a Hamiltonian system equation; 3) exporting location momentum of a variational integral; 4) establishing a discrete Lagrange model; 5) exporting a Jacobian matrix characteristic value; 6) calculating non-linear behaviors of a stability region of the Buck-Boost converter and a first branch point of the Buck-Boost converter. The method of the invention is applied to the field of the Buck-Boost converter modeling and nonlinear analysis.

The invention relates to a resistive-type superconducting fault current limiter digital modeling and simulation method based on a YBCO superconducting tape. On the basis of establishing a YBCO superconducting tape equivalent structure model, a YBCO superconducting tape equivalent circuit model, a YBCO superconducting tape thermal conduction model and a resistive-type superconducting fault current limiter circuit model, the line current and the superconducting tape current are calculated according to given circuit parameters of the current limiter, and structure parameters and initial operation conditions of the superconducting tape; the temperature of the superconducting tape is calculated according to the YBCO superconducting tape thermal conduction model; the resistance of the superconducting tape is calculated according to the YBCO superconducting tape equivalent circuit model, the temperature of the superconducting tape, and the superconducting tape current; and the line current and the superconducting tape current are calculated according to the resistive-type superconducting fault current limiter circuit model, and simulating calculation of the resistive-type superconducting fault current limiter is achieved. The resistive-type superconducting fault current limiter digital modeling and simulation method based on the YBCO superconducting tape can be used for superconducting fault current limiters with multiple units and complex structures.

The invention discloses a system meta-model based visual modeling editor for constructing a system model. The editing of the system model and a system view is finished by taking a hierarchical model, an interface model, an algorithm model, a process model, a transmission model and a corresponding view as editing objects through a hierarchical editor, an interface editor, an algorithm editor, a process editor and a transmission editor. A visual system modeling tool with the advantages of computability, universality and usability is provided for various fields. The system model and the system view constructed by the editor are explicit in structure, adjustable in hierarchy and controllable in modeling granularity, and have computable full consistency. Methods are unified, so that top-down analysis design and bottom-up integration are convenient, and the editor is suitable for modeling various systems including software systems and information systems in various application environments. The modeling method is simple and complete in visual modeling, so that even personnel in general fields can independently and easily edit the system model and the system view.

The invention relates to a circuit equivalent simulation method for a pressure conduit in an electric system hydraulic power station, belonging to the hydraulic power station water power system modeling field. The method comprises the following steps that: an unsteady flow transfer matrix is obtained through analysis and calculation of an unsteady flow equation in the pressure conduit, and the transfer matrix is the same with a forward transmission equation of a uniform transmission facility which ignores the conductance to earth, thereby a pi-shaped equivalent circuit model of the uniform pressure conduit can be established according to the two-port theory. Pressure diversion conduits with different lengths are equivalent by adoption of one or a plurality of pi-shaped circuit models, thereby an equivalent point network model of the whole diversion conduit is obtained. The circuit equivalent simulation method can be used for quick modeling of the pressure conduit and is convenient for a system researcher to establish a model of a whole water power system so as to research interaction between hydroelectric power and electromechanical power during the transient process of the hydraulic power station. Moreover, water hammers of different types and pressure steel pipes of different lengths during the transient process of the hydraulic power station are simulated by adoption of the method, and both principle analysis and simulation indicate that the method is correct and effective.

The invention discloses a livestock and poultry house breeding environment temperature prediction control system and a regulation and control method thereof. The control system comprises a temperature and humidity sensor, a breeding environment temperature dynamic demand module, an environment controller and an environment regulation and control execution mechanism, wherein the environment controller is respectively connected with the breeding environment temperature dynamic demand module and the temperature and humidity sensor, and the environment regulation and control execution mechanism is connected with the environment controller and executes corresponding environment regulation and control according to a command of the environment controller. The regulation and control method controls the breeding environment temperature according to a dynamic setting model of the livestock and poultry breeding environment temperature, a livestock and poultry house breeding environment temperature prediction system based on a GM (1, 1) model and a gray prediction fuzzy system based on the GM (1, 1) model. The problems that the temperature in the livestock and poultry house is difficult to regulate and control in time, the regulation and control adaptability is poor and preventive measures cannot be taken are solved, and the limitation of feedback regulation and control of the livestock and poultry house based on a detection result is overcome.

The invention discloses an improved active noise control algorithm for a transformer. The active noise control algorithm has the remarkable advantages that: (1) reference signals are obtained via adopting DDS (direct digital synthesis) by only needing to collect fundamental frequency components in primary noises, thus the reference signals are acquired simply; (2) an simple off-line disturbance modeling method is adopted; and (3) the updating interval of the control weight of the algorithm is a multi-harmonic noise period, thus being low in calculated amount. During modeling, the added disturbance magnitude is over 5 times than variable quantity of primary harmonic noises or over 10% of primary harmonic noise amplitude, thus ensuring to obtain the preferable modeling result of transfer functions of a secondary path. The stability and the noise reduction performance of the algorithm are both considered for the dereferencing of a leakage coefficient (le) in an update formula of the control weight, thus the dereferencing is 0.9999; and the convergence rate and the stability of the algorithm are both considered for the dereferencing of a convergence coefficient (mu), thus the dereferencing is 0.05 when the distance between an error microphone and a control source is 20cm.

The invention discloses a three-dimensional building model construction method applied to three-dimensional real estate information management. The invention belongs to the technical field of real estates. According to the invention, the SHP format two-dimensional house surface is generated through conversion; constructing an association relationship between a two-dimensional house and a two-dimensional house meter house of the three-dimensional house model; taking the basic level surface as the geographic space information reference of the two-dimensional house surface corresponding to the house layer; Construction of three-dimensional building model, assigning a value to the three-dimensional building model, and outputting and applying the three-dimensional building model to produce three three-dimensional building models with different data organization modes so as to adapt to browsing and query of the three-dimensional building models with multiple scales and different LOD levels at a Web end, and realizing rapid construction of the three-dimensional building model with geographic space information so as to be applied to two-dimensional and three-dimensional integrated management of the real estate.

The invention relates to an online dynamic load modeling method based on fault recorder data. The method is correct and effective, simple and high in precision compared with a parameter weighted average method and a clustering center method based on standard actual measured samples and can facilitate online dynamic load modeling based on the fault recorder data. The method includes that (1) on the basis of historical samples for identifying load model parameters, voltage excitation of new samples is exerted on a load model, and load power response is obtained; (2) the power response and actual measured power response of the new samples are fitted integrally and optimized to be a target, parameter optimization is conducted by adopting a curve fitting method, and a modified comprehensive load model is obtained, and only modified model parameters are stored instead of all historical samples.

The invention discloses a low-voltage distribution network line loss calculation model and method which are used for calculating line loss of a common low-voltage line in a low-voltage distribution network and a low-voltage line containing new energy in a metering interval. the calculation model comprises a low-voltage line power data obtaining module, a low-voltage line equivalent impedance obtaining module, a low-voltage line disturbance quality equivalent current obtaining module and a line loss calculation module; the low-voltage distribution network line loss calculation model and methodprovided by the invention adopt a mode of iteration from a backward stage branch circuit forwards to obtain a low-voltage line phase line and the impedance of fundamental frequency and harmonic impedance of a middle line, the precision is high, and the modeling method is simple; and moreover, the low-voltage distribution network line loss calculation model and method consider disturbance influencefactors of three-phase unbalance, harmonic waves, voltage fluctuation and new energy access on the loss, are high in model applicability, can research the influence of the single electric energy disturbance and can research the complex disturbance influence of a plurality of electric energy qualities.

The invention relates to an integrated equivalent model structure of a microgrid. The model structure comprises an equivalent static part and an equivalent motor part, wherein the equivalent static part and the equivalent motor part are connected on an accessed bus in parallel, and the bus is accessed to a large power grid through a grid-connected switch; the equivalent static part comprises a static load component, a fuel battery, a solar photovoltaic battery and energy storage equipment; and the equivalent motor part comprises an asynchronous generator, a synchronous generator, an asynchronous motor and a synchronous motor. The problem of influence to dynamic characteristics of a power distribution network when a large quantity of distributed power sources and control inverter equipment are accessed to medium and low voltage power grids is solved; and with the adoption of the integrated equivalent load model structure, analysis modeling are not required to be performed on all components in the grid during load modelling, so that the modelling method is simpler and more convenient, and the problem of influence to the dynamic characteristics of the power distribution network when a large quantity of distributed power sources and control inverter equipment are accessed to the medium and low voltage power grids can be solved.

The invention relates to a cladding layer cross section contour curve under broadband laser effect and a modeling method, and a cladding layer cross section contour curvilinear equation is that y=hc-0.5*wc/sin theta+ the square root of [0.5*wc/sin theta)<2>-x<2>], x belongs to [-wc/2,wc/2],wherein, y is an ordinate of a coordinate system XOY; X is an abscissa; hc is the height of the cladding layer; wc is the width of the cladding layer; theta is a deposition angle; and the XOY coordinate system takes the bottom center of the cladding layer as a round O, the width direction of the cladding layer as shaft X, the height direction of the cladding layer as the shaft Y; hc, wc and theta are described as the functions of a technological parameter laser power P, a powder layer thickness T and a scan speed V. <{EN2}>The curvilinear equation modeling method comprises the steps of conducting a broadband laser cladding selectivity all factor test to obtain a technological parameter preferable scope; performing central composite design test; intercepting a cladding layer cross section for sampling; plotting the geometric dimension of the cladding layer cross section; establishing a quantification description relation formula of the geometric dimension of the cladding layer cross section and the technological parameter; deriving a contour curvilinear equation of the cladding layer cross section, and verifying the contour curvilinear equation of the cladding layer cross section. <{EN3}>The curve provide data support for the layered slice of a laser cladding application and a locus program; the modeling method is simple; the operability is strong; and the accuracy is high.

The invention relates to the field of image processing and discloses a multi-scale color texture image segmentation method combined with an MRF (Markov Random Field) and a neural network. The method is mainly used for solving the problem that a simple Gauss model can not be used for accurately describing a feature field distribution characteristic in the traditional MRF method. The method comprises the following steps: when modeling a multi-scale feature field, estimating a probability distribution of a texture feature by using the output of the neural network in a supervision environment on each scale; when modeling a multi-scale mark field based on a classic Potts model, considering the interaction of a mark set of a same-scale second-order neighborhood position and a corresponding mark on a lower resolution scale for each pixel position; by using the maximum likelihood criterion, gradually acting a segmentation result on the lower resolution scale on the next scale from top to bottom to finally realize the multi-scale image segmentation. The segmentation result obtained by the invention has good region homogeneity and Boundary authenticity, and the method can be used for segmenting the color texture image.

The method is applied to an information source number estimation technology in the technical field of array signal processing. The invention discloses an information source number estimation modelingmethod based on an augmented weighted Geier circle matrix. The method comprises the following steps: receiving signals of an array antenna; constructing an augmented weighted Geier circle matrix on the basis of a weighted Geier circle criterion; multiple features such as Geiger circle center values, Geiger circle radiuses and weighted Geiger circle radiuses which can be used for describing the number of the information sources are obtained at the same time, high-dimensional feature vectors are constructed and marked, and then the high-dimensional feature vectors are substituted into a supportvector machine to train a classifier mathematical model capable of carrying out information source number estimation. The method disclosed by the invention not only can effectively estimate the numberof the signal sources under the condition that the number of the signal sources is one less than that of the array elements, but also has good performance for estimating the number of the signal sources under the environment of low signal-to-noise ratio and small snapshot number.

The invention discloses a construction method of a depression model for crab-eating macaques at adolescence and juvenility. The construction method comprises the steps of selecting 10 male crab-eatingmacaques at the adolescence, and dividing the selected crab-eating macaques into a chronic unpredictability stimulus group and a control group; performing 7-day daily treatment, and after adaptationis completed, performing 8-day baseline test; performing 5-cycle experiment while performing daily treatment on the chronic unpredictability stimulus group, including 7-day chronic unpredictable lightstimulus and 4-day behavior observation, performing daily treatment on the control group in the whole experiment process, and after every cycle is completed, also performing 4-day behavior observation; after the whole experiment cycle is completed, also performing apple desiring experiment and human intruder experiment on the chronic unpredictability stimulus group and the control group to respectively test the depression action and the anxiety-like action of the crab-eating macaques; collecting hair and plasma and performing cortisol content test; and finally, performing contrast with adolescent depression patients by a plasma metabonomics method. The model can provide reference for researching a potential mechanism of depression of teenagers in the future.