202 results about "Integral model" patented technology

The invention relates to a method for optimizing combustion of a boiler. The combustion optimization of the prior boiler mainly depends on debugging stuffs to do experiments, thereby taking time and labor and obtaining limited parameter combinations. The method includes the following steps: collecting working parameters of the boiler and corresponding indexes characterizing the combustion characters of the boiler and building a real-time database; adopting an integrated modeling method supporting a vector machine to carry out modeling under the condition that the real work load is 60 percent smaller than the design load of the boiler and adopting a radial basis function neural network integrated modeling method to carry out modeling under the condition that the real work load is60 percent larger than or equal to the design load of the boiler to build boiler combustion models with different indexes; and utilizing the particle swarm optimization algorithm and combining with the built models to optimize the combustion parameter setting of the boiler according to different combustion indexes or index combinations of the boiler. The invention improves the predictive ability of the integral model, greatly improves the predictive ability of the models, and carries out one-line optimization and off-line optimization.

The invention relates to a position/force hybrid control method for a space manipulator, which is a double-loop control method combining a Cartesian space and a joint space. Compared with a conventional control method on the basis of an integral model, which has the problems of oscillation of the transition process and algorithm complexity, the position/force hybrid control method for the space manipulator has the advantages that the position/force hybrid control problem is decomposed into the planning problem of the Cartesian space and the control problem of the joint space; a position/force kinematic plan from the Cartesian space to the joint space and kinematic control of the joint space are given out; an internal and external loop control system is formed; and position control on a free space at the tail end of the manipulator and contact force control in a space restrained by the environment are implemented. A simulation result for a SDOF ( Seven Degrees of Freedom) redundant manipulator proves that the method disclosed by the invention is simple to operate, is effective and is easy for engineering realization.

The invention discloses an assembled type concrete structure three-dimensional collaborative design method. The assembled type concrete structure three-dimensional collaborative design method comprises the steps of completing assembled type building splitting design according to drawing data, preparing a Revit item center file, establishing parameter models of a prefabricated member and a cast-in-situ node, loading the parameter member and the cast-in-situ node into a Revit item center file to form an overall model, revising members of all types, completing model overall information input and single member plotting and the like. Based on a Revit platform, by establishing a visualized three-dimensional entity model, then design, revising and plotting are conducted through a synergetic mode. The assembled type concrete structure three-dimensional collaborative design method has the following advantages that regardless of a two-dimensional abstract drawing mode, visualized three-dimensional modeling is achieved; the same model jointly represents all profession information, professional interaction is achieved, and repetitive adjusting and revising is avoided; modeling and plotting time of members of the same type is shortened, the efficiency is improved, the quality is unified, and management is facilitated.

The invention discloses an intelligent urban construction examining and approving method based on a case-based reasoning technology. The intelligent urban construction examining and approving method based on the case-based reasoning technology comprises the following steps of constructing an examining and approving case library; inputting new examining and approving case and model parameter information; submitting jogs to a Hadoop cluster to search KNN (k-nearest neighbor algorithm) Map Reduce cases; statistically analyzing a searching result on the basis of a 'weighted integral model'; evaluating and correcting the cases; and performing distributed full-text searching on examining and approving data. The intelligent urban construction examining and approving method has the advantages that by the method, the circumstance of manual examination and approval application at present can be changed, the work efficiency is improved, the basis on examining and approving is increased, and an examining and approving process is intelligent. Distributed searching can be carried out by using a Hadoop frame and a MapReduce frame through a cloud computing center, and a distributed case searching model based on the case-based reasoning technology is established. The 'weighted integral model' is creatively raised to statistically analyzing searched similar cases, and a guidance which is beneficial to new examining and approving cases is obtained.

The invention relates to a vacuum negative pressure lost foam casting process, which belongs to the technical field of casting. The process comprises the following steps: an integral mold of a screw is obtained by using resin bonded sand with a nut which has the same inner surface geometric parameters as that of or a little bigger internal diameter than that of a screw hole to be processed; the mold of the screw is taken out, coated with a coating and baked dry; then a hole is cut at the position of the screw hole to be processed on the integrally cast overall mold; finally the screw mold is inserted into the cutting hole and assembled to form the final mold; that is, the vacuum negative pressure lost foam casting process can be directly used for casting a casting with the screw hole, which creates a precedent of directly casting small-aperture screw holes without reprocessing in the casting field. The screw hole processed by the process can ensure precision and needs no reprocessing. The vacuum negative pressure lost foam casting process is especially applicable to the vacuum negative pressure lost foam casting of the casting with a plurality of screw holes, small size and high precision.

A body garment including sensors distributed throughout the garment, each sensor senses body state information from a local surface area of a body; and sensor nodes in proximity to the plurality of sensors, each sensor node including a processor to receive sensing body state information from at least one of the plurality of sensors. Each processor is configured to receive body state information locally from sensors, to utilize the information to determine a local surface shape of the surface of a portion of the body part; and to exchange local surface shape information with neighboring sensor nodes. At least one processor of utilizes the local surface shape information received from the sensor nodes to generate one overall model of a surface shape of the entire surface of the body part covered by the garment.

The invention relates to a three-dimensional reinforcing steel bar lofting method. The three-dimensional reinforcing steel bar lofting method includes the specific steps that 1, a concrete member solid model is generated through three-dimensional modeling software, 2, the types and the lap joint lengths of reinforcing steel bar connectors are preset according to the design and standard requirements for reinforcing steel bars; 3, the types and the number of the connectors are automatically calculated according to the positions of the reinforcing steel bars and the selected types of the connectors, and corresponding connector type models are generated at the lap joint positions of the reinforcing steel bars; 4, after the positions of the connectors are partially adjusted, the related positions of the connectors and the whole model are automatically updated through refreshing; meanwhile, generation of three-dimensional or two-dimensional material lists are supported, and the statistics of the quantity of reinforcing steel bars is carried out in real time. By means of the three-dimensional reinforcing steel bar lofting method, blanking in the three-dimensional model mode can be achieved; as for complex members, observation can be carried out in any direction, any sectioning can be carried out, and a reinforcing steel bar arrangement person can conveniently learn drawings; due to consideration of the positions of the reinforcing steel bar connectors, calculation of the construction quantity can be sufficiently achieved, project cost is saved, and workloads are reduced.

The invention provides a multi-machine multi-card hybrid parallel asynchronous training method for the convolutional neural network. The method comprises steps that a CNN model is constructed, and training parameters are set; data parallelism of a Softmax layer is changed into model parallelism, the integral model is divided into multiple pieces, and the multiple pieces respectively correspond tomultiple GPUs for calculation; a source code of the Softmax layer is modified, instead of exchanging parameter data before calculating the result, Ring All-reduce communication algorithm operation ofthe calculation result is carried out; one multi-machine multi-card GPU is selected as a parameter server, and other GPUs are for training; in a Parameter Server model, each Server is only responsiblefor some of assigned parameter and processing tasks; each sub node maintains the own parameters, after update, the result is returned to a main node for global update, new parameters are further transmitted by the main node to sub nodes, and training is sequentially completed.

The invention discloses a large-scale power distribution network integral model simplification method applicable to electromagnetic transient simulation. The large-scale power distribution network integral model simplification method comprises the following steps of: dividing a large-scale intelligent power distribution system into two parts, i.e., an external system and a research system; connecting the external system and the research system through a plurality of branches; establishing electromagnetic transient simulation models of the external system and the research system respectively; setting a low-dimension system model order q (q is less than n) according to a simulation actual demand and computing resource, wherein n represents order of the original external system model; selecting a base calculation method corresponding to the number of columns of a matrix B input in an external system state equation; performing re-orthogonalization processing on a base V by using a re-orthogonalization method; calculating that A' is equal to VTAV, B' is equal to VTB, C' is equal to CV and D' is equal to D to obtain a low-dimension simplified system model; and performing simulation computation in linkage with a detailed model of the research system in place of the original external system model to obtain a detailed transient process in the research system. According to the large-scale power distribution network integral model simplification method, the simulation calculation efficiency is increased, large-scale system analysis simulation is oriented, and inevitable choice of operation requirements under various on-line application scenes is met.

The invention discloses a modeling method of the railway emergency plan based on the random Petri net, which relates to the railway emergency plan processing technical field; the technical proposal includes that the type and rank of the current railway emergency plan are analyzed; the emergency plan is classified and prepared to realize the template of the emergency plan content; the common contents in various accident rescues in the emergency plan are extracted; the emergency plan is classified into flows through the preparation of the common contents; the emergency plan flows are processed with qualitative analysis and quantitative analysis based on the Petri net theory, so as to establish the Petri models for the classified emergency flows; a plurality of single models are combined to an integral model through the interrelation of the models; the integral model is processed with performance equivalent simplification; finally, the simplified simple models are combined to obtain the SPN model with integral simplification. The SPN model established by the modeling method is adopted to realize the systematical, digital and intelligent management of the railway emergency plan.

The invention provides an automatic prefabricated part splitting method based on BIM and a computing device. The method comprises the steps that an overall BIM of a building project is designed, splitting parameters are built, and splitting rules for the number, the classification, the output information content and the project amount of a prefabricated part are made according to the preset splitting parameters; the overall BIM is classified according to the splitting parameters, and a building type is determined, so that mistakes are prevented from being made in the subsequent splitting process; the overall BIM is split into refined models step by step through two-time splitting, and in the subsequent part verification process, only part of models need to be verified, and the overall model does not need to be verified, so that the work efficiency is improved; the overall BIM is decomposed into a set of various parts and split into the minimum units meeting the production manufacturingand transporting requirements, and the part shapes are subjected to restoration verification, so that splitting errors are avoided; a production drawing of the part shapes is directly output, and theaim of one-key splitting design of the prefabricated part is achieved with the combination of the splitting requirements of the prefabricated part. Therefore, the accuracy and the efficiency for designing the drawing of the prefabricated part based on the BIM are improved.

The invention relates to a system for researching a material distribution rule of furnace top equipment and belongs to the technical field of smelting. The system comprises a fully-emulational belt machine loading system, a fully-transparent furnace top material distribution equipment whole model, a fully-transparent furnace body partition research model, an enterprise-level high-speed camera shooting and analysis system and a test platform, wherein the fully-emulational belt machine loading system (1) is arranged at the top end of the whole set of system and is connected with a second layer of platform of the test platform (4) through a moveable bracket; a lower opening of the fully-emulational belt machine loading system (1) is connected with the fully-transparent furnace top material distribution equipment whole model (2); the lower end of the fully-transparent furnace top material distribution equipment whole model (2) is mounted on the fully-transparent furnace body partition research model (3); and a shooting terminal of the enterprise-level high-speed camera shooting and analysis system (5) is generally placed on a first layer of platform of the test platform (4). The invention has the advantages that the research system is comprehensive, complete, intuitive and accurate; and the test scheme is simple and practical, reliable in result and is a new breakthrough in the field of research on a blast furnace material distribution rule.

A method for creating a non-linear, stationary or dynamic overall model of a control variable of a combustion engine or partial systems thereof is based on simplified partial model functions that are used to determine in a weighted fashion at each desired operating point the total output quantities from the partial model function with an associated weighting function. The difference between the total output quantity and the real value is determined for all real operating points; and in areas of operating points with an absolute value of this difference that is above the preset value, a further model function with a further associated weighting function is used for which the absolute value of the difference stays below the preset value.

The steps for determining the difference between the total output quantity of the associated partial model functions and a real value of the control value as well as the application of a further model and weighting function are executed as many times as needed until the statistically evaluated prediction quality of the overall model has reached a desired value.

The invention provides a 3D printing-based layered prefabricated defect coal and rock mass sample preparation device and method. The method comprises the following steps: structural parameters of underground coal measure strata coal and rock mass are collected on site, a digital strata model is established, a reasonable similarity material ratio is selected, a concrete material is prepared, a 3D printing technology is used to print and prepare a complex layered structural rock mass model, maintenance is carried out, after the maintenance is completed, the integral model is taken out, coring iscarried out on a specially-made coring machine with an adjustable base, machining and grinding are carried out on the coring machine, and finally the layered prefabricated defect coal and rock mass sample is obtained. According to the device and the method in the invention, various geological structures such as various joints, fractures, bedding, faults and the like contained in the underground engineering strata can be restored and simulated accurately, the attitude of the coal measure strata can be accurately reproduced; and the coal and rock mass sample is provided, thereby facilitating the mechanical behavioral research of the coal and rock mass with the complex layered structure.

The invention discloses an MMC real-time simulation modeling method and system. The system is composed of a circuit partitioning model and a half-bridge submodule electromagnetic transient numerical model. An ideal transformer model method is adopted for conducting circuit model partitioning on an MMC. The circuit partitioning model comprises a main circuit and a half-bridge MMC submodule group of all bridge arms. The main circuit and all the bridge arms are equivalent to a series circuit of a switch and a controlled voltage source, and the voltage signal value of the series circuit is the sum of output voltages of the submodule group of the bridge arms. Mononuclear serial or multinuclear parallel electromagnetic transient real-time simulation of the MMC can be realized; compared with an original overall model, extremely high simulation precision is achieved, the real-time simulation scale of the MMC can be expanded within a certain step length range, meanwhile, good stability is achieved, and the equivalent MMC submodule transient numerical model still has a locking function.

The invention is applicable to the technical field of neural networks, and provides a weed recognition method and device and terminal equipment, and the method comprises the steps: obtaining a to-be-recognized weed image; inputting the weed image to be identified into a target convolutional neural network model to obtain a first feature map; inputting the first feature map into a target generativeadversarial network, and performing noise adding processing on the first feature map; and finally inputting the noise-added first feature map into a target identification network to obtain the classification probability and weed prediction position of the first feature map. Through comprehensive utilization of the convolutional neural network model and the generative adversarial network, the robustness of the weed identification overall model can be enhanced, and thus the accuracy and efficiency of weed identification are improved.

The invention discloses a de-orbit braking closed circuit guidance method satisfying constrains on reentry angles and flying ranges. The guidance method comprises steps of firstly on the basis of a nominal de-orbit braking track of a two-body dynamics model design, correcting effects on the reentry angles imposed by a J2 item by iterating working time of an engine; correcting effects on the flying ranges imposed by the J2 item by designing a dynamics integral model; during a guidance process, according to current movement states and information of reentry points, calculating currently required speed and speed gain by use of a closed analytical expression; determining an instruction posture angle of the engine according to direction of the speed gain; and determining a turn-off instruction according to the fact whether the speed gain is zero. According to the invention, high-precision and strong-robustness de-orbit braking guidance can be achieved.

The invention discloses a multi-target multi-main-body distributed game optimization method for distributed energy sources, and belongs to the technical field of power system automation. Aiming at the multi-target, multi-constraint, nonlinear and multi-main-body game characteristics of a plurality of types of distributed energy sources, the invention provides the multi-target multi-main-body distributed game optimization method. According to the economical, environment-friendly and high-efficiency target demands of the joint optimization of the plurality of types of distributed energy sources, the method builds a multi-energy-system multi-target joint optimization model through combining the output and climbing rate constraints of the plurality of types of distributed energy sources. Based on the distributed coordination optimization theory, the method enables the whole model to be divided into a plurality of subsystem multi-target joint optimization models, employs an improved multi-target optimization algorithm for solving, and obtains a Pareto solution set of each subsystem, thereby finally forming an optimal Pareto solution set for the whole system and providing a reliable decision support for a decision maker.

The invention discloses an automatic generation method for a quadrilateral finite element mesh of a pitting corrosion damage cylindrical shell. The automatic generation method for the quadrilateral finite element mesh of the pitting corrosion damage cylindrical shell includes that carrying out parameterization set on key geometrical sizes of a pitting corrosion damage cylindrical shell model in a finite element software, constructing three standard basic segments of an end perfecting region, a pitting corrosion region and a pitting corrosion spacer region of the cylindrical shell through segregate expression, constructing the whole geometrical model of the pitting corrosion damage cylindrical shell with a multi-layer pitting corrosion region, the pitting corrosion spacer region and the end perfecting region through copying, translation and division methods, grouping the geometrical model according to pit positions and size characteristics of each region, setting the mesh division number of the region boundary of each grouping object, using mapping MAPPED and AMAP to divide the whole cylindrical shell model, and generating the whole finite element model of the quadrilateral mesh unit. The automatic generation method for the quadrilateral finite element mesh of the pitting corrosion damage cylindrical shell solves the microscopic pitting corrosion damage description problem in a macro-scale structure and improves the solving precision and solving efficiency of the simulating calculation.