228results about How to "Rapid modeling" patented technology

A composite object group (COG) data structure embodied in a computer-readable medium for building a control system that has both a clock cycle and event processing is provided. An interface for passing information to and from the COG data structure is provided. One or more data flow objects are provided in the COG to accept input data and to produce output data on the clock cycle. The data flow object is connected to the interface and provides sampled-data processing for the control system. One or more state machine objects are provided in the COG; each includes a plurality of states and a plurality of transitions between the states that are each triggered by an event. The state machine object provides event-driven processing for the control system, whereby the COG data structure provides both sampled-data and event-driven processing for the control system.

The invention discloses a machine reading model training method and device, a question and answer method and a device, and belongs to the field of natural language processing. The machine reading model training method comprises the following steps: acquiring a training sample, wherein the training sample comprises a sample question and a corresponding sample article, a real initial position and areal final position of the corresponding answer in the sample article; extracting a question feature vector of the sample question and an article feature vector of the sample article, and using a neural network structure to fuse and process the question feature vector and the article feature vector to form a fusion result; inputting the fusion result into a classifier to perform prediction of theinitial position and the final position of the answer; performing error calculation on the predicted initial position and final position, and the real initial position and the real final position of the answer; and optimizing the neural network structure according to the error calculation result. According to the machine reading model training method and device, the question and answer method anddevice in the embodiment of the invention, the corresponding answer can be directly extracted from the entire associated article through end-to-end deep learning.

The invention discloses a model method of a traffic prediction. The method comprises the following steps of: (1) establishing a road traffic basic facility geographical information database, storing and updating traffic planning schemes, and establishing intersection delay determination; (2) establishing an urban planning construction geographical information database, storing regulatory detailed plans of each area, and utilizing an original unit method to construct traffic generation cases; (3) calling data of the road traffic basic facility geographical information database and the urban planning construction geographical information database, and utilizing a gravity model method to predict parallel distributed matrixes; (4) constructing a multi-element logit model, and determining the probability distribution for a single person selecting a travelling mode in specific travelling information; and (5) utilizing a capacity-limited multi-path distribution method to carry out traffic distribution. The modeling purpose, method to realization are overall planed, modeling parameter selection, basic data sources and calculation program design are coordinated, and the convenient application and operation of a traffic prediction model system are ensured.

The invention provides an equipment data collecting system based on OPC UA protocol, which can solve multi-level data collection, transmission and monitoring problems of each bottom device, measuring instrument, automatic control system and so on on the industrial site, realize data transparency of complicated bottom automation equipment and improve information integration modes. The equipment data collecting system based on the OPC UA protocol is characterized by comprising a bottom adapter, an OPC UA middleware and an upper application, wherein the bottom adapter comprises a data modulation module and a data transmission module, wherein the data modulation module is used for taking out bottom equipment data value needed by a user, data values of a plurality of communication protocols can be taken out through configuration, and the data transmission module is used for transmitting the data value taken out from the data modulation module to the OPC UA middleware at a configured speed; the OPC UA middleware comprises a data service center and a Modeling and configuring module; and the data service center comprises a data collection module, an even processing module, an OPC UA real-time data server and a history data module.

The invention discloses a three-dimensional modeling method based on a template, which is used for realizing three-dimensional rapid modeling based on a template technology. The three-dimensional modeling method comprises the following steps: realizing three-dimensional model rapid generation based on a polygon clipping algorithm; realizing rapid generation from a two-dimensional plane profile to a two-dimensional model through extrusion modeling; making a target model into a template; and rapidly generating a three-dimensional model with the template technology. Through adoption of a three-dimensional model generation technology based on the polygon clipping algorithm, generation of various complex models can be realized. Through adoption of the template technology, rapid modeling of a target model can be realized through one key with a corresponding template without professional background of operating personnel or a large amount of point, line and surface operation; the generated three-dimension model can be re-edited and reprocessed in a template way; and the overall applicability is improved.

The invention relates to a method of constructing a virtual experiment teaching scene based on an image material. The method mainly comprises the following steps: obtaining an image object of a teaching experiment instrument by using an interactive image object extracting method based on a geodesic line; rapidly modeling vivid and reusable virtual experiment components by using the image object of the teaching experiment instrument and a simple geometric pattern element, and adding the virtual experiment components into a multidisciplinary virtual experiment component library; on the basis of initialization of the virtual experiment teaching scene, searching the required virtual experiment components from the virtual experiment component library according to a user requirement, combining the searched virtual experiment components to an initial virtual experiment teaching scene, and editing the logic attribute and appearance attribute of the selected virtual experiment components in a visual form; in the virtual experiment teaching scene, interactively pointing the connection relation between the virtual experiment components by a user, automatically constructing and visualizing the connection relation by using a connection line generation algorithm based on equivalence connection so as to finish the construction of the virtual experiment teaching scene.

The invention belongs to the field of photovoltaic power prediction, and discloses a CNN-based LSTM photovoltaic power generation power prediction model and a construction method. The model onsists ofa two-layer CNN convolutional layer, an LSTM, an attention mechanism and a full connection layer. When only power data exists, feature extraction is carried out on an input one-dimensional power generation power time sequence through a double-layer convolution layer, a plurality of data matrixes are obtained through 3 * 1 convolution kernel operation. Information abstraction from the time sequence to high-level features is achieved. The attention mechanism automatically pays attention to an LSTM hidden layer output vector obtained by each matrix through an LSTM algorithm, and a greater weightis given to a characteristic quantity remarkably related to the current output quantity. The output vector of the attention mechanism is processed into a one-dimensional vector through an unfolding operation and inputted the one-dimensional vector into the full connection layer, wherein a full connection layer directly outputs the predicted value of the photovoltaic power generation power at thenext moment. The method is small in data size, high in transportability and high in prediction precision.

The invention provides a real-time three-dimensional face modeling method based on depth information; the method does not adopt any previous standard face models but realizes the three-dimensional real-time modeling through registration and integration of a plurality of face depth images. The method comprises the following steps: systematically building depth information acquired from kinect; separating facial images from the depth images; back projecting, so as to form three-dimensional point cloud; smoothing, registering, integrating, drawing and displaying. With the adoption of the real-time three-dimensional face modeling method used for the computer graph and image processing and based on the depth information, a three-dimensional real-time face model required by a user can be rapidly generated only through that the user sits in the front of kinect, so that the cost and time spent on three-dimensional face modeling through laser scanning in the past are greatly reduced, and errors caused by using two-dimensional images for three-dimensional face modeling are avoided, so that three-dimensional real-time face modeling is realized at a lower cost.

A method is taught for increasing the steady-state verification speed of analog and mixed signal design through increased simulation speed, model abstraction by probing an existing component model or actual device and formal comparison of distinct component models. The innovative method taught here incrementally generates processor instructions optimized for operating the analog solver around a specific set of values (the operating context), caches sequences and applies the currently applicable operating context at each point in the simulation. The invention discloses a method for semi-automatically generating a mixed-signal or analog model based on iterative probing of an existing device or behavioral simulation. The invention teaches a method for model abstraction to alter the level of detail present in a running simulation. A means for graphically evaluating the match quality constitutes the final innovative step. The innovative method for the formal comparison of two analog or mixed signal models within a prescribed operating range for each interface between the model and its environment without the need for exhaustive simulation.

The invention relates to a conductor galloping resistant method of the iron towers of overhead power transmission lines. The method comprises the following steps: building a iron tower model, setting conductor galloping parameters, building a coupling system model of iron towers and conductors, adding iron tower nodal loads, setting tower foot nodal constraints, defining a load curve; setting time parameters, using a core computing module for computing and solving; using a post-processing module to directly display the galloping animation of conductors and iron towers, and directly computing and outputting an internal force-time history curve of iron tower units; and checking the bearing capacity of iron tower units according to the computed and output internal force-time history curve ofiron tower units, and judging whether iron tower units are needed to reinforce. The conductor galloping resistant method considers the coupling effect of iron towers and conductors, has higher accuracy in the research of the conductor galloping rule, and can be used to compute and analyze the influence of conductor galloping on iron towers, research the galloping-resistant bearing capacity of iron towers and provide the basis of iron towers reinforcement, thus meeting the needs of scientific researches and engineering designs.

The invention provides an intelligent robot assisting rapid modeling and 3D printing device. Compared with some devices provided before days, the device is more intelligent; compared with traditional reverse engineering, a large amount of unnecessary work can be saved, and the machining efficiency is improved; through an image processing system and a joint control system, the machining process can be monitored and controlled in real time, and the machining accuracy is improved; a mobile platform can achieve all-around movement and obstacle avoidance functions; a temperature control system can monitor the machining temperature in real time, and the surface machining quality is improved; and a feeding control system is used for calculating whether printing materials needed by model printing are sufficient or not, and gives out a corresponding prompt. The overall 3D printing device adopts modularized design, so that manufacturing, maintaining, repairing and replacing are relatively convenient.

The invention discloses a somatosensory interactive fast three-dimensional modeling auxiliary system and its method, which comprises a user unit, a somatosensory sensor and a computer processing system connected in sequence, and the computer processing system consists of a data processing center, a mapping unit and a feedback unit; The somatosensory sensor is sequentially connected to the data processing center, the mapping unit and the feedback unit, and the feedback unit is interactively connected to control the user unit. The present invention provides a simple and intuitive rapid modeling method, enabling users to quickly establish a three-dimensional model without having the knowledge base of software operation, and lowering the threshold of three-dimensional modeling.

The invention discloses a Microstation v8i-based city rapid-modeling method, which comprises the following steps of: performing an aerial survey on a tested area according to a conventional aerial photogrammetric survey method by adopting an aerial photogrammetric survey system; and 2, performing analysis processing on aerial survey data in a Microstation v8i software environment by using a processor, namely, establishing a three-dimensional aerial photogrammetric survey model, performing land feature classification and marking, correspondingly establishing a land feature type layer-color mapping table, performing vector data acquisition, establishing models of houses, scattered trees and land features of other types respectively, processing all the land features in the tested area respectively, and obtaining three-dimensional geometric models of all the land features in the tested area.

The invention discloses a method for iron tower anti-lead galloping of a coupled system of an iron tower, leads and an anti-galloping device. The method comprises the following steps: establishing an iron tower model; setting a lead galloping parameter; establishing a coupled system module of the iron tower, the leads and the anti-galloping device; adding an iron tower node load; setting tower foot node restraining; calculating and solving by utilizing a core calculation module; utilizing a post processing module to directly calculate to output an internal force-time course curve of an iron tower unit; checking the bearing capacity of the iron tower unit according to the calculated output internal force-time course curve of the iron tower unit; and judging whether the iron tower unit needs to be reinforced. The invention considers the coupling effect of the iron tower, the leads and anti-galloping device, accurately studies the lead galloping regulation after the weapon is additionally arranged, can calculate and analyze the influence of lead galloping on the iron tower, studies the bearing capacity of iron tower galloping resistance, provides a basis for reinforcing the iron tower unit, and can satisfy the requirements of scientific research and engineering design.

The invention discloses a modeling method for a persisting data model. The modeling method comprises the following steps of: firstly, defining a modeled data model file by adopting an XML (Extensible Markup Language) mode; secondly, dynamically generating a service database table corresponding to the data model by a data model driving engine; and thirdly, automatically verifying and saving the service data according to the data model by the data model driving engine. An online database designing method for modeling the service data is replaced by data modeling, and thus the data model is changed quickly and flexibly. The corresponding service database table is dynamically changed by establishing and changing the data model and the service data are quickly modeled and modified, so that the development period of the model is greatly shortened and the risks of data error and mess due to the change of the data model and the like are reduced. The data model driving engine is used for automatically processing the service data according to the data model, so that the development speed of the system is greatly increased and the problem of the system caused by different data processing codes is solved.

The embodiment of the invention relates to the technical field of comprehensive energy systems. The invention discloses a test method and a test system for a comprehensive energy management system. The method comprises the steps that a power network system offline model and a non-electric network system offline model of the comprehensive energy system are established; a comprehensive energy systemoffline model is constructed according to the power network system offline model and the non-electric network system offline model, and a comprehensive energy system real-time simulation platform isconstructed based on the comprehensive energy system offline model; and the comprehensive energy management system is tested based on the comprehensive energy system real-time simulation platform. According to the embodiment of the invention, the comprehensive energy management system can be comprehensively tested, so that the safe and stable operation of the comprehensive energy management systemis improved.