191 results about "Model modification" patented technology

An apparatus and method for monitoring a process involve development and application of a statistically qualified neuro-analytic (SQNA) model to accurately and reliably identify process change. The development of the SQNA model is accomplished in two stages: deterministic model adaption and stochastic model modification of the deterministic model adaptation. Deterministic model adaption involves formulating an analytic model of the process representing known process characteristics, augmenting the analytic model with a neural network that captures unknown process characteristics, and training the resulting neuro-analytic model by adjusting the neural network weights according to a unique scaled equation error minimization technique. Stochastic model modification involves qualifying any remaining uncertainty in the trained neuro-analytic model by formulating a likelihood function, given an error propagation equation, for computing the probability that the neuro-analytic model generates measured process output. Preferably, the developed SQNA model is validated using known sequential probability ratio tests and applied to the process as an on-line monitoring system. Illustrative of the method and apparatus, the method is applied to a peristaltic pump system.

Methods, systems, and apparatus, including medium-encoded computer program products, for providing an adaptive knowledge platform. In one or more aspects, a system can include a knowledge management component to acquire, classify and disseminate information of a dataset; a human-computer interaction component to visualize multiple perspectives of the dataset and to model user interactions with the multiple perspectives; and an adaptivity component to modify one or more of the multiple perspectives of the dataset based on a user-interaction model.

The invention discloses an establishing method for an energy consumption model of a base station. The establishing method comprises the following steps of: a, presetting an independent variable and obtaining historical energy consumption data and base station service and configuration data corresponding to the variable; b, fitting a straight line for the obtained data by using multivariate linear regression analysis, returning regression analysis parameters that describe the fitted straight line and establishing the energy consumption model; c, carrying out model validation; and d, carrying out model modification according to a model validation result until the model validation result indicates that the obtained energy consumption model achieves the expected result. The invention further discloses an energy consumption predicating method of the base station, a corresponding establishing device for the energy consumption model of the base station, and an energy consumption predicating device of the base station. Compared with the conventional energy consumption management system, the energy consumption model obtained by the establishing method provided by the invention has an accurate and effective energy consumption predicating function.

A system and method for constructing a 3D scene model comprising 3D objects and representing a scene, based upon a prior 3D scene model. The method comprises the steps of acquiring an image of the scene; initializing the computed 3D scene model to the prior 3D scene model; and modifying the computed 3D scene model to be consistent with the image. The step of modifying the computed 3D scene models consists of the sub-steps of comparing data of the image with objects of the 3D scene model, resulting in associated data and unassociated data; using the unassociated data to compute new objects that are not in the 3D scene model and adding the new objects to the 3D scene model; and using the associated data to detect objects in the prior 3D scene model that are absent and removing the absent objects from the 3D scene model. The present invention may also be used to construct multiple alternative 3D scene models.

The invention includes following parts: building calculation model of hydraulics based on geo information of city pipeline network, description of uncertainty, building uncertainty model of hydraulics, and model modification. Through data structure, system identification, data mining, optimal control of robustness, and predictive control technique of robustness, the invention builds uncertain hydraulics model for urban sewerage and drainage system. Comparing prior art, the invention overcomes disadvantages of empirical estimating throughput of water and water level, and possesses advantages of forecasting generation of city flood effectively, scheduling operation of pumping station in real time so as to save energy.

The invention discloses a non-linear conjugate gradient three-dimensional inversion method of a magnetotelluric field, which comprises the following steps of: a, establishing a three-dimensional model, and determining model parameters; b, acquiring impedance response through the model resistivity by using the staggered-grid finite difference of the magnetotelluric field as a forward modeling method; c, comparing the impedance which is acquired by forward modeling with an actually measured impedance to acquire an impedance data deviation; d, judging whether a target function value is enough small or not, finishing iteration when the target function value is small enough, otherwise entering the next step; e, calculating the gradient of a target function, and acquiring a search step-length and a search direction by using a non-linear conjugate gradient method as an inversion method so as to calculate a model modifier, wherein the resistivity calculated by using the impedance data error and current iteration is used as a preprocessing factor in the inversion method; and f, modifying the model, and returning to the step b. The non-linear conjugate gradient three-dimensional inversion method of the magnetotelluric field has the characteristics of high efficiency and high accuracy.

The invention discloses a method for identifying damages of a frame structure. The method comprises the following steps: firstly, testing an undamaged frame structure, and carrying out model modification on an initial discretization model of the frame structure so as to obtain an accurate finite element theoretical model, and calculating a structural modal parameter (omega A0, phi A0); then, testing the damaged frame structure, and carrying out model analysis on the damaged frame structure so as to obtain a modal parameter (omega t2, phi t2); and finally, establishing a direct analysis method damage identification equation, and solving an unit damage coefficient Di (i=1, 2,..., n) by using front n (n is less than or equal to N) order frequencies and vibration mode variation value delta omega r (r=1, 2,..., n) of the frame structure before and after damage so as to achieve the purpose of simultaneously identifying the number, position and size of the damages existing in the whole structure. The method is suitable for the damage identification of a construction frame structure, and has the advantages of less required detection data amount, high efficiency and higher precision.

An authentication system comprises: a generating part for generating face information including at least one of three-dimensional shape information and two-dimensional information in the face of a first person to be authenticated on the basis of measurement information of the first person; a model modifying part for modifying a standard model of a human face by using the face information, thereby generating an individual model of the face of the first person; a calculating part for calculating a first model perfection level as a perfection level of the individual model on the basis of reliability of the face information; an extracting part for extracting first feature information as feature information of the first person from the individual model; an obtaining part for obtaining second feature information as feature information of a second person to be compared which is pre-registered; and an authenticating part for performing an authenticating operation on the first person by using the first model perfection level in addition to similarity between the first feature information and the second feature information.

The invention discloses an optimization design method for an air conditioner airduct structure, comprising the following steps of: (1) establishing at least two airduct models; (2) respectively carrying out grid partition on the spanned files of the airduct models, and importing generated grid files into CFD (Computational Fluid Dynamics) software; (3) setting model parameters and variable parameters in the CFD software; (4) working out noise and air quantity after the CFD software simulate air flow reaches the quasi-stable state; (5) comparing to obtain models with big air quantity and small noise in the airduct models, taking the models as the preselected scheme, then carrying out the airduct model modification on the preselected scheme for at least one time, and returning to the step (2) to determine a final airduct model; and (6) producing an air conditioner model machine by combining with the final airduct model, and conducting a noise experiment and an air quantity experiment. By using the optimization design method for the air conditioner airduct structure, the design cost of the air conditioner airduct structure can be reduced, the parameter test time is shortened and the use becomes convenient.

The invention discloses a structural dynamical model modification-based prestress recognition method, and relates to the prestress recognition of pre-tensioning structures. The method comprises the following steps: establishing a finite element model of a structure; converting the boundary condition such as clamped support or simple support into spring support in three or two directions, and applying an axial prestress at the same time; calculating a fixed frequency and a fixed vibration mode of the structure through commercial finite element software; carrying out test and recognition by utilizing a test modal analysis technology, so as to obtain the fixed frequency and the fixed vibration mode of the structure; and recognizing the spring support rigidity and prestress of the boundary at the same time on the basis of a model modification technology. The method is simple, high in recognition precision and convenient to operate; and through considering the influences of the boundary condition, the reliability is high. By taking MAC as a target function, the completeness of the test data is supplemented; the optimization through a genetic algorithm is more beneficial for obtaining the globally optimal solution; and the whole modification model can be automatically driven to carry out solving.

The invention discloses a quaternity bridge safety and state monitoring system comprising a construction monitoring system, a load testing system, a routing-inspection and maintenance system and a state monitoring system. The quaternity bridge safety and state monitoring system can share hardware and software resources, and can be connected with a main engineering and traffic engineering via hardware interfaces and joints. Reference model building, model modification and damage identification can be realized by the aid of whole-process information of construction monitoring, load testing, state monitoring and routing inspection and maintenance. State evaluating can be realized by the aid of results of state monitoring and routing inspection and maintenance, and the quaternity bridge safety and state monitoring system is an automatic and manual, integral and local, qualitative and quantitative, objective and subjective, obscure and clear monitoring and evaluating system and is applicable to the field of bridge engineering.

An aircraft model modification system based on modal test data comprises a core data structure module, a CAE data import module, a test data import module, a three-dimensional display module, an MAC matrix calculation module, a three-dimensional MAC matrix display module, a finite element model updating solution module and a model modification module. The aircraft model modification system achieves comparison validation and finite element model modification of finite element analysis results and test results, improves model modification efficiency, and enhances comprehensiveness and accuracy of virtual tests.

A method for automated computerized audio visual dubbing of a movie comprises (i) generating a three-dimensional head model of an actor in a movie, the head model being representative of specific facial features of the actor, and (ii) generating a three-dimensional head model of a dubber making target sounds for the actor, the dubber head model being representative of specific facial features of the dubber, as the target sounds are made. The method also comprises modifying at least a portion of the specific facial features of the actor head model according to the dubber head model such that the actor appears to be producing target sounds made by the dubber.

The invention discloses a power transmission and transformation line insulator aerial image fault detection method based on improved YOLOv3. The method comprises the following steps of S1, establishing an insulator data set and an insulator fault data set; s2, performing data enhancement by using modes of rotation, overturning, contrast enhancement and the like; s3, taking YOLOv3 as a basic framework, carrying out model modification pruning operation, and constructing an insulator detection model; s4, establishing a standard YOLOv3-tiny network; s5, carrying out model training on the modifiedYOLOv3 network and the modified YOLOv3-tiny by using the insulator data set and the insulator fault data set; and S6, connecting the two trained models to realize end-to-end rapid detection of the insulator fault. According to the detection method, the insulator in the complex background image can be quickly and accurately identified, the fault area can be positioned and detected, the inspection efficiency is improved, the working intensity of inspection personnel is reduced, and a guarantee is provided for normal operation of a power system.

The invention provides a panoramic animation jumping method and a system. The method comprises steps: when scene jumping is triggered, a transition matrix generated in advance is used to carry out model modification processing on the model matrix of the current scene, and transparency modification processing and stretch processing are carried out on the current scene; when the current scene starts to move or stretch, a thumbnail of a target scene and pictures within the visible range are loaded, and the target scene is rendered after loading is completed; and after moving and stretching of the current scene are completed and rendering of the target scene is completed, the target scene is shown. According to the technical scheme provided by the invention, natural and smooth switching from the current scene to the target scene can be realized.

The invention relates to a reverse method based on CAD model modification and measurement path planning for designing and machining machine pieces, which belongs to the technical field of mechanical reverse engineering. The technical scheme comprises the following steps of: 1, establishing an approximate initial model of a workpiece in UG NX4.0 software; 2, selecting key geometric elements to plan a measurement path; 3, creating a primary measurement program according a path file; 4, executing the primary measurement program to measure the measured elements; 5, reconstructing the measured elements; 6, modifying the initial model; and 7,creating a numerically controlled code according to the final CAD model, and transferring the code to a numerically controlled process plant to realize piece machining and reverse process. The reverse method adopts a design of model modification, gives full play to the subjective capability of man, and only measures and reconstructs the key geometric elements that require high precision, thereby greatly simplifying the measurement process and reconstruction algorithm. The path planning based on UG NX4.0 model space and the automatic generation of the measurement program ensures the safety, the rapidity and the precision of the measurement.

The present invention discloses a combination missile target imitation flight test system, which includes a simulation development machine used in building a combination missile target flight control model, translating the simulation development machine into an executable code; an off-line simulation operation control model which records a rudder control signal and receives the rudder control signal from a simulation test host, comparing with the rudder control signal of the simulation operation model to judge the accuracy of a flight control software of the control system or the operation of a steering gear; the simulation test host which executes the executable code, sends the relevant track information of executing output to an interface box and sends the rudder control signal of an on-board control system transferred by the interface box to the simulation development machine; the interface box which is used for transferring the signals between the simulation test host and the on-board control system. The combination missile target imitation flight test system can perform a simulation test and a simulation experiment for the flight control system of multi-module and complex logic from model modification to physical simulation once, and is characterized by simple framework, low cost and high efficiency.

The invention relates to a stochastic model modification method based on uncertainty of a stochastic response surface estimated parameter, which comprises the following steps: 1, representing an uncertain parameter of a structure system as a function of a standard stochastic variable and representing a response of the structure system as a polynomial chaos expansion which uses the standard stochastic variable as an independent variable and is based on a Hermite polynomial, and solving an undetermined coefficient of the polynomial chaos expansion so as to establish a stochastic response surface model of the response of the structure system and calculate a statistical characteristic value of the response of the structure system; 2, utilizing an error function of a statistical characteristic value of the stochastic response surface model and the statistical characteristic value of the actually measured response to establish a target function required by stochastic model modification; 3, utilizing the target function to construct optimization inverse problems and modifying a parameter statistical characteristic value step by step; and 4, on the basis of the parameter statistical characteristic value obtained by stochastic modification, utilizing a stochastic response surface to calculate and obtain the statistical characteristic value of the response of the structure system. The method ensures modification accuracy when improving modification efficiency.

The invention relates to an electromagnetic transient simulation method containing a switching characteristic sub-network, and belongs to the technical field of electromagnetic transient analysis in electric power systems. According to the simulation method, a breaker and electronic power switching elements are designed into an independent switching sub-network; the network only comprises an electronic power sub-switch, the breaker and related elements (resistors, inductors, capacitors and the like); the network performs modeling through a rational polynomial approximation based exponential fitting method provided by the invention; and the rest of networks perform modeling by a conventional method (an implicit trapezoid method, a backward Euler method, a damping trapezoidal method or a modified combining form thereof). In offline/real-time calculation, only the switching sub-network performs iteration or interpolation calculation, and the rest of networks do not participate in iteration or interpolation. The switching sub-network adopts a high-order algorithm provided by the invention, so that numerical oscillation can be immunized; and meanwhile, the workload of model modification is relatively low, so that engineering promotion is facilitated.

A control apparatus which can improve the accuracy of control of a controlled variable by a control input exhibiting a periodic fluctuating behavior. The control apparatus calculates an air-fuel ratio correction value DKCMD such that the output from an oxygen concentration sensor converges to a target output, and calculate a modulated value DKCMD_DSM by modulating DKCMD with an algorithm to which is applied a ΔΣ modulation algorithm. Further, the control apparatus calculates a reference air-fuel ratio KCMDBS according to an exhaust gas volume, calculates a model modification coefficient KTRQFF using a modification coefficient calculated such that DKCMD become equal to 0, calculates an adaptive reference air-fuel ratio KCMDADP by the equation of KCMDADP=KCMDBS×KTRQFF, and calculates a target air-fuel ratio KCMD by the equation of KCMD=KCMADP+DKCMD_DSM.

The invention discloses a whole-hybrid-power-bus-controller hardware-in-loop simulation testing platform. The whole-hybrid-power-bus-controller hardware-in-loop simulation testing platform serves as a PC of a user host; the PC is used for achieving off-line operation, model modification, strategy modification, automatic code generation, compiling loading and calibration monitoring of a whole bus controller; an automatic code generation procedure is used for the whole bus controller, and a whole bus model is input into an industrial personal computer; the whole bus controller is used for operating the whole bus control strategy selected on the PC; the industrial personal computer is used for serving as a real-time kernel-operation full-working-condition whole-bus simulation system; a data collecting device is used for collecting data of a bus of a CAN card. By means of the whole-hybrid-power-bus-controller hardware-in-loop simulation testing platform, the research and development efficiency of a hybrid-power-bus controller can be greatly improved, and the research and development cost of the hybrid-power-bus controller is reduced, a designed controller can be subjected to a hardware-in-loop simulation test by selecting various working conditions and even limiting working conditions, and the reliability of the whole-hybrid-power-bus-controller hardware-in-loop simulation testing platform is improved.

The invention relates to a reusable simulation model interface design and butt joint method and device, a medium and computer equipment. The method comprises the steps of obtaining a simulation modelheader file or a model description file from a working space, and generating a simulation model frame according to the simulation model header file or the model description file; according to the simulation model frame, generating a simulation model tree to be displayed in a model operation interface; receiving model modification data input by the corresponding simulation model tree, modifying thesimulation model frame according to the model modification data, and obtaining a reusable simulation model; when a data output instruction input by the corresponding simulation model tree is received, obtaining the model file according to the reusable simulation model and performing display in the model operation interface. The model data editing operation is performed in a visual model editing interface, the reusable simulation model frame can be rapidly constructed and generated, a model developer does not need to pay attention to code details of reusable model development norms, more energy can be put in model function development, and the model design and butt-joint efficiency and reusability are improved.