Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

34results about How to "Fast and accurate generation" patented technology

Frame-type curtain wall rapid assembly construction method and system based on BIM

The invention discloses a frame-type curtain wall rapid assembly construction method and system based on a BIM, and belongs to the field of curtain wall assembly construction. The to-be-solved technical problems are how to realize rapid assembly construction of a frame-type curtain wall and ensure the installation quality and performance of the curtain wall, according to the technical scheme, theframe-type curtain wall rapid assembly construction method includes the steps that three-dimensional model creation and adjustment of a curtain wall shell, curtain wall unit division, material component splitting and ordering are conducted through a BIM technology and a three-dimensional measurement technology, unit bodies of the frame-type curtain wall are assembled through centralized industrialprocessing, the processing quality of the frame-type curtain wall units is controlled by manufacturing standard parts, standard samples and using a three-dimensional scanning technology, site quick assembly construction of the frame-type curtain wall is completed through an integral hoisting technology, then treatment between layers is completed through a construction hanging basket or an elevating operating vehicle, and finally, rapid assembly construction operation of the frame-type curtain wall is realized. The invention further discloses the frame-type curtain wall rapid assembly construction system based on the BIM.
Owner:CHINA CONSTR EIGHTH ENG DIV

A construction method of an intelligent fabricated building

The invention relates to the field of fabricated buildings, in particular to an intelligent fabricated building construction method. The method comprises the steps of preliminary model design, whereinspace planning is conducted according to site analysis, building modeling, building landscape and traffic flow lines; Utilizing a BIM technology to form a building full model; Model design is optimized, the whole building model is placed in a specific simulation environment, and the house type, size and orientation of the building are perfected; Carrying out deepening model design, splitting theoptimization model into single components, and carrying out shape optimization, steel bar configuration and collision detection on the single components according to splitting of the components; According to the detection result, all the elements are adjusted, the relation among all the elements is further perfected, a component deepening detail drawing is directly obtained through the BIM model,and the drawing should comprise a component size drawing, a pre-buried positioning drawing and a material list table, and an H-dimensional view is constructed. And an intelligent design technology isutilized, so that the construction of the fabricated building is more standardized, process-oriented, automatic and intelligent.
Owner:唐炳贵

A fine-grained classification method based on meta-learning

InactiveCN109711433AFast and accurate generationSolve the problem of fine-grained classificationCharacter and pattern recognitionData setExternal data
The invention discloses a fine-grained classification method based on meta-learning, which comprises the following steps of: establishing an external data set, dividing the data set into a training set, a verification set and a test set, and enabling sample types of the three sets to be not intersected, and enabling the sample types of the test set to be smaller than that of the training set; Performing data enhancement on samples in the data set; A convolutional neural network is established, the input of the convolutional neural network is a color picture, the output of the convolutional neural network is a category to which the color picture belongs, the length of a classification layer is equal to the number of categories of an external data set, and a loss function adopts softmax loss; Training a fine-grained classification network by adopting the training set; and testing the pre-trained convolutional neural network by using the test set, and carrying out fine tuning on the convolutional neural network according to a test result. According to the method, a good general initialization model can be rapidly generated, so that a good classification effect can be obtained only byusing fewer samples when related but different categories are tested, and the problem that no big data set exists during fine-grained classification is solved.
Owner:SOUTHEAST UNIV +2

Auxiliary device for topology identification of low-voltage transformer area and topology identification method

PendingCN114825630AImprove the fine management of line loss and the monitoring level of power theftImprove the level of intelligence and automationAc network circuit arrangementsPower gridTopology identification
The invention relates to an auxiliary device for topology identification of a low-voltage transformer area and a topology identification method, and the auxiliary device comprises a magnetic coupling isolation driving module which is used for generating a pulse driving signal according to a control signal transmitted by a control unit, and outputting the pulse driving signal to a characteristic signal switching module; the characteristic signal switching module is used for generating a characteristic current signal and switching the characteristic current signal to an alternating current power grid; the voltage zero-crossing detection module is used for detecting the position of a voltage zero-crossing point of the alternating-current power grid; the communication module is used for performing data interaction with an upper terminal; the alternating current sampling module is used for sampling a current signal in an alternating current power grid and inputting the current signal to the control unit; the control unit is used for sending a control signal to the magnetic coupling isolation driving module according to an instruction sent by an upper terminal and the voltage zero crossing point position; and whether a characteristic current signal exists in the alternating current power grid is identified, and an identification result is uploaded to an upper terminal.
Owner:STATE GRID FUJIAN ELECTRIC POWER CO LTD +1

Method, device, device and storage medium for configuring multi-mode constraint rules

ActiveCN114446417BIntuitive and comprehensive configurationOptimizationLaboratory analysis dataProcessingDatabase
The present application provides a method, device, device and computer-readable storage medium for configuring a multi-mode constraint rule. The method includes: acquiring a configuration instruction, and entering a rule configuration page based on the configuration instruction; acquiring a control to be selected in a menu column of a rule module The selection instruction, based on the selection instruction, in the composite mode flowchart in the constraint rule display area, the selected rule modules are displayed in the first way, the unselected rule modules are displayed in the second way, and the selected rule modules are displayed in the second mode, and the selected rule modules are displayed in the second mode. The configuration completion instruction of the specified rule module, according to the configuration completion instruction and the selected rule module, the audit flow chart of the currently configured target mode is displayed in the constraint rule display area; according to the audit flow chart of the target mode, the received historical detection data Perform processing, and verify the audit process of the target mode according to the processing result; obtain the audit constraint rules of the target mode according to the audit flow chart of the qualified target mode.
Owner:SHENZHEN DYMIND BIOTECH

A Method for Accurately Calculating the Morphological Changes of Gully Heads and Gully Walls

The invention discloses a method for accurately calculating morphology change of a gully head and a gully wall of a gully with a washing hole. The method comprises the following steps of: firstly, importing the determined gully terrain grid data into GIS (Geographic Information System) software and setting a coordinate projection system; secondly, cutting the terrain data of the gully into three parts according to a water collecting area, a gully wall and a gully bed boundary; importing terrain data of the gully wall into a file which can execute data operation and respectively rotating spatial coordinates around a Z axis and an X axis according to the certain angle; secondarily importing the rotated gully wall data into the GIS software and extracting a boundary point position of the gully wall in a GIS software environment to generate a face file; then generating TIN (Triangulated Irregular Network) by using the rotated space point position and the boundary file; converting the TIN into a DEM (Digital Elevation Model) with proper size of grids; and subtracting the DEMs at different stages to finally obtain the terrain change processes of different stages. The method disclosed by the invention can be used for generating the DEM accurately and quickly, is simple in operation and does not need complex three-dimensional space conversion operation.
Owner:INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI

A High-Level Synthetic Scheduling Method Based on Linear Delay Model

The invention discloses a high-level comprehensive dispatching method based on a linear delaying model. The high-level comprehensive dispatching method comprises: after acquiring input circuit description, constructing a control data flow diagram; clustering operation calculation in the control data flow diagram and establishing a corresponding delaying model for each type of operation calculation; carrying out delay estimation on the operation calculation based on the delaying model; calculating delaying information of any data path in the control data flow diagram; marking the calculated delaying information into the control data flow diagram, and constructing a dispatching diagram according to the control data flow diagram with the delaying information; and dispatching the dispatching diagram by adopting a difference constrained system dispatching algorithm to obtain a dispatching result. According to the high-level comprehensive dispatching method based on the linear delaying model, disclosed by the invention, the accuracy of the estimation is guaranteed by using the linear delaying model, and algorithm time complexity, namely polynomial time complexity, is reduced; a target function can be rapidly and accurately solved to obtain an accurate result, so that the whole dispatching result is more superior, and furthermore, a hardware circuit structure can be more rapidly and accurately generated.
Owner:SYSU CMU SHUNDE INT JOINT RES INST +1
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products