160 results about "Scaffold" patented technology

The invention discloses a Taylor space external fixation support PID control method based on an improved South goose algorithm, and belongs to the technical field of PID control, and the method specifically comprises the steps: 1, building a Taylor space external fixation support control model based on a PID controller; step 2, improving a South goose algorithm, including introducing boundary excitation and a chaotic elite strategy to initialize a population so as to give consideration to global and boundary exploration; an elitist retention and worst reset mechanism is adopted to ensure excellent solution inheritance and diversity; the global search efficiency is improved by utilizing a golden proportion reverse exploration method; multi-directional Levy flight is introduced to enhance the local optimal jumping capability; step 3, optimizing PID controller parameters by using an improved South goose algorithm to obtain optimal Kp, Ki and Kd; 4, simulating a PID (Proportion Integration Differentiation) controller of the control model by adopting MATLAB (Matrix Laboratory) and Simulink; the improved Swane algorithm can improve the adaptive control capability of the system, and enhance the stability and control precision.

The invention discloses a design manuscript code generation and visual error iterative correction method and system based on multi-agent cooperation, and aims to solve the problems of low front-end code generation efficiency, poor visual restoration degree and lack of an automatic correction mechanism in the prior art. The system constructs a four-node state diagram based on LangGraph, automatically initializes a series engineering scaffold, obtains design data and generates a structured protocol, and generates a component code based on the protocol and performs visual verification and iterative correction on four processing nodes. The method comprises the following steps: dynamically generating an engineering scaffold through a large language model agent, converting Figma design data into a structured protocol, and carrying out iterative optimization by utilizing a judger-repairer mode until an error is lower than a threshold value; according to the method, high-fidelity automatic delivery from the design manuscript to the code is realized, and the executable front-end engineering code and the visual reduction degree analysis report are output.

The invention discloses a method for generating a text system, and aims to solve the problems of long development cycle, disjunction of requirements and technology implementation and the like of traditional software and realize automatic generation from a natural language requirement to a deployable service system based on a large language model. The method is divided into two stages: in the first stage, a system is disassembled into a logic subsystem through man-machine cooperation, core business logic is extracted, a large language model is called by adopting a divide-and-conquer strategy, and a detailed specification containing a functional process and an interface form is generated; in the second stage, a large language model is called to generate a database table structure and a DDL script, an engineering framework of a basic technology stack is initialized and integrated through a predefined scaffold, CRUD codes are generated, the codes are analyzed to generate a transformation plan for structured data, and target logic codes are incrementally integrated. According to the method, control is achieved through Python, the problem of large model input limitation is solved, and generated codes are standard and extensible. The development cycle is shortened, the requirement-design-code consistency is guaranteed, the threshold is lowered, platform locking is avoided, and enterprise digital transformation is assisted.

The invention relates to a construction quality management method based on BIM secondary development. In order to improve the informatization level of an outer protection frame erection size detection process, automatic comparison between a detection result and a design size is realized. Revit software is used for parametric modeling of the fastener type steel pipe scaffold component family model, and a standard component family library is constructed. Modeling is driven based on Dynamo data, and the fastener type steel pipe scaffold BIM model automatic generation and updating method is provided. And a construction quality management platform based on BIM secondary development is developed, automatic comparison of a design scheme and a detection result is realized, and construction errors are graded and fed back to the BIM visual model. In order to improve user experience, a user interface of the platform in Revit is customized and developed. Compared with the prior art, the system has excellent performance in the aspects of working efficiency and visual display, and can effectively promote the intelligentization and informatization process of construction quality detection and management.

Examples of the present disclosure relate to an apparatus comprising input circuitry configured to acquire imaging data corresponding to a branched organic structure, and image processing circuitry. The image processing circuitry is configured to determine, from the imaging data, a parametric configuration of the branched organic structure comprising solid and volumetric scaffolding data indicative of the branched organic structure, and determine, based on the scaffolding data, a multi-dimensional parametric representation of the branched organic structure.

Provided herein are various embodiments related to the design, creation, and use of a folded sheet scaffold for medical devices. The scaffold comprises a shellular porous pseudorandom orientable architecture composed of a continuous folded sheet of topological genus-n. Methods for designing the scaffold involve driving noise from an infinite 3D noise field to define a field with real space, tuning field values based on user input, and subtracting to create thin wall geometry. The methods can be computer-implemented or executed by a processor following instructions stored on a non-transitory computer-readable medium. A computer system for designing the scaffold includes modules for noise-driving, tuning, and subtracting. The disclosure also includes a folded sheet scaffold formed by these methods and a medical device comprising the folded sheet scaffold.

According to the scaffold safety monitoring and early warning system provided by the invention, the safety management and early warning functions of the scaffold are realized through real-time monitoring and data analysis. The system comprises a sensing layer, a network layer and an application layer, operation state data of the scaffold are collected in real time through equipment such as a sensor and a camera, and the data are transmitted to a background server through a wireless network. And the background server performs data storage and processing by utilizing a MySQL database, and realizes user data interaction and display by adopting a B / S architecture. The system carries out real-time analysis and abnormal value processing on monitoring data through a data visualization and analysis module, a real-time early warning module and a D-S evidence theory algorithm, potential safety hazards can be found in time, and an early warning notification can be provided. The system supports a plurality of early warning modes, and ensures that safety management personnel can quickly respond and take effective measures; the system can greatly improve scaffold construction safety, guarantee life safety of constructors, and provide intelligent decision support for managers.

Systems and methods are provided for generating a training dataset for training a molecule embedding module using contrastive learning, wherein the definition of similarity is based on molecular scaffold similarity. For example, systems access a molecular dataset and separate the molecular dataset into positive samples and negative samples. Systems then generate a training dataset comprising the positive samples and negative samples. Systems and methods are also provided for using the trained molecule embedding module to generate molecule embeddings and for building an end-to-end machine learning model configured to perform molecular embedding analysis and molecular property prediction, the model comprising the trained molecule embedding module and a property prediction module.

The invention provides a parameterization programming method based on a hydraulic support structural part welding program, which comprises the following steps of: 1) compiling a standard series workpiece welding program template according to process parameter information of a standard series workpiece; 2) determining the number of required numerical registers according to the design specifications of the standard series of workpieces so as to match the number of variable parameters of the standard series of workpieces; (3) according to the placing position standard of the workpiece on the positioner and the layout of the robot welding workstation, a function relation between a robot world coordinate system and the characteristic points of the positioner is constructed, and assignment operation logic of a position register and a numerical value register is defined; 4) taking the changed process parameter information as position register data for updating; 5, the welding robot calls the information in the position register, and updating of the welding gun operation program parameters is achieved.The method has the advantages that hardware equipment input and external database support are not depended on, and parameterized programming is completed through internal hardware of the welding robot.

The invention discloses a fully mechanized coal mining hydraulic support electrohydraulic control system based on deep learning, and the system comprises a data collection and topology construction module which is used for collecting multi-source real-time data and constructing a support topology adjacency matrix; the data preprocessing and dynamic topology updating module is used for preprocessing the original data set and dynamically updating the initial topology adjacency matrix; the space-time diagram convolution depth autoregression modeling module is used for outputting a future multi-step prediction result set based on a space-time diagram convolution depth autoregression network model; the underground safety constraint judgment module is used for performing underground safety constraint judgment; the control instruction generating and issuing module is used for generating an electro-hydraulic control instruction set; and the execution feedback and model closed-loop updating module is used for collecting real-time state data, updating the preprocessed data set and enhancing the spatial-temporal characteristic sequence. According to the invention, the space-time diagram convolution depth autoregressive network is adopted to realize intelligent control of the fully-mechanized mining hydraulic support.

The invention discloses a haplotype analysis and assembly method and device for a polyploid genome. The invention develops a haplotype analysis support construction method which integrates HiC data and an assembly graph to improve accuracy, integrity and continuity. Key limitations of HiC are effectively overcome by utilizing graph connectivity derived from long read length overlap. The method is applied to complex polyploidy genomes, and compared with an existing tool, the method has the advantages that the sequence deletion rate is reduced by dozens of times, the sequence error rate is reduced by one order of magnitude, and the continuity of gapless sequences is improved by several times.

The invention provides a parametric modeling method for a bridge support, and the method comprises the following steps: creating a spatial three-dimensional curve: creating the spatial three-dimensional curve of a design line; a project model file creation step: creating a support project model file; a horizontal curve creation step: creating a horizontal curve according to the spatial three-dimensional curve, and obtaining a cross section datum line; a calculation step: calculating coordinates of component placement according to the cross section reference line; and a placing step: placing the component according to the coordinates, and setting design parameters of the component. According to the method, parametric modeling of the bridge support is achieved, automatic arrangement and parametric generation are achieved, the manual modeling time is greatly shortened, and the modeling efficiency is improved.

1. Name of the product in this design: Bracket (Stamped Height Increase Support). 2. Application of this design: This design is used for construction scaffolding. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application provides a front-end scaffold and a business development system, comprising: an access layer, a service layer and an operation and maintenance layer; the access layer is used for calling services required by a development task from the service layer, and generating a build product according to the services; the build product is a final product obtained after the development task is completed; the service layer is connected with the access layer, and is used for providing the services required by the development task for the access layer; and the operation and maintenance layer is used for publishing and deploying the build product, and performing operation and maintenance monitoring on the build product after the publishing and deploying are completed. The front-end scaffold provided by the scheme of the application enriches the functions of the front-end scaffold, and realizes support for business fields and development fields.

A method for blind denoising of sequencing data may include receiving a plurality of read sequences associated with a scaffold sequence. Each read sequence may be a repeat of the scaffold sequence, at least one of which is a noisy read sequence that does not match the scaffold sequence. A sequence denoising model may be applied to encode the plurality of read sequences and generate a denoised scaffold sequence corresponding to the scaffold sequence based on the encoding of the plurality of read sequences. The denoised scaffold sequence may be generated without the scaffold sequence. Molecules associated with the scaffold sequence may be analysed based on the denoised scaffold sequence. Related systems and computer program products are also provided.

1. The name of this design product: Scaffold pedal. 2. The use of this design product: It is used to be set up on the scaffold to carry construction workers. 3. The design key points of this design product: lie in the overall shape of the product. 4. The picture or photo that best shows the design key points: Reference drawing of the use state.

The invention provides a scaffold monitoring management system and method, and the system comprises a component identification module which is used for distributing and managing a unique digital identification code for each scaffold component; the digital archive module is associated with the component identification module and used for establishing and maintaining a digital archive for each scaffold component, and the digital archive at least comprises specification information, state information and dynamically updated historical use data of the component; the circulation monitoring module is used for tracking and recording circulation states and events of each scaffold component in the links of warehousing, ex-warehouse, project erection, warehouse returning and scrapping based on the digital identification codes; and the health degree evaluation module is used for calculating the dynamic health degree of each scaffold component through a preset evaluation model based on the component historical use data and state information recorded in the digital file module. The invention aims to improve the safety, economy and refinement level of scaffold management.

1. Name of the product in this design: Construction scaffold. 2. Purpose of this design: for building construction. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

1. The name of the design product: computer support. 2. The use of the design product: support for placing computer to adjust height. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

The invention relates to the technical field of food processing, in particular to a high-yield nutrient 3D printing biological scaffold prepared on the basis of neurospora crassa spores and bean dregs. The biological scaffold prepared by the invention can form a closed-loop system of agricultural wastes, biological carriers and high-value products. The system has the characteristics of high efficiency, sustainability, flexibility, controllability and the like and the capabilities of modular design and dynamic regulation and control, programmable regulation and control of active compound synthesis can be realized through material-cell interaction, and a novel manufacturing mode is provided for synthesis and precise biosynthesis of nutrient substances such as fungal protein and carotenoid.

The invention discloses an intelligent self-adaptive scaffold system, relates to the technical field of building construction equipment, and solves the technical problems that a traditional scaffold is low in building efficiency, poor in adaptability to special-shaped buildings, lack of safety monitoring and high in material loss. The system comprises modular deformable scaffold units, an intelligent safety monitoring module, a quick splicing lock catch and a cloud management platform, miniature hydraulic rods and attitude sensors are arranged in the modularized deformable scaffold units, the attitude sensors are used for collecting form data of the external facade of a building, and the miniature hydraulic rods are driven to stretch out and draw back to achieve self-adaptive deformation of a main frame. The intelligent safety monitoring module collects load bearing, inclination, wind speed and personnel position data in real time, triggers sound-light early warning and synchronizes the sound-light early warning to the cloud and the worker intelligent bracelet. The rapid splicing lock catch realizes tool-free rapid disassembly and assembly; and the cloud management platform completes data integration, analysis, remote early warning and hydraulic rod expansion and contraction amount regulation and control. The construction supporting system is high in adaptability, efficient in building, safe and controllable, the modules can be recycled repeatedly, the construction cost and construction waste are reduced, and the construction supporting system is suitable for construction supporting of various constructional engineering.

A zero-knowledge personal assistant is enabled by a universal data scaffold. Because the information is mapped to a universal data scaffold in a structured format, a data management platform can easily organize, display, and draw associations between the information. The universal data scaffold and structured user data resides on a user's device, preventing data from being obtained by third parties. To analyze data and produce recommendations for the virtual assistant, a set of rules associated with the universal data scaffold can be applied to the user data. Information can be encrypted and shared between users without being decrypted by a third-party.

1. Name of the product in this design: Bracket (Stamped Right Angle Support). 2. Application of this design: This design is used for construction scaffolding. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This application relates to the field of BIM modeling design, and particularly to a drawing generation method, a computer device, and a storage medium for support and hanger. The method includes: obtaining the support model and construction specialty of each support and hanger in the global modeling environment; determining the first number of each support and hanger in the global modeling environment according to the support model and construction specialty of the support and hanger, and generating the support structure drawings corresponding to each support and hanger with the first number; in response to the user's project number request, determining a number of target support and hangers in each construction project; determining the second number of each target support and hanger according to the support model and / or construction specialty of the target support and hanger; performing duplicate removal and screening on the first numbers corresponding to the number of target support and hangers, determining a number of target first numbers, and exporting the support structure drawings corresponding to each target first number; generating and exporting the corresponding project overview drawings based on the second number. While achieving lightweight drawing generation, it improves the effectiveness of the drawings in guiding construction.

A compute node comprising: a chassis (102; 202) with a base (108; 208), a pair of walls (110; 210) each connected to a perimeter side (108A, 108B; 208A, 208B) of the base (108; 208), and a first upper cover section (112A; 212A) connected to the pair of walls (110; 210) to cover part of the chassis (102; 202); a locking mechanism (104, 104A1, 204, 204A1) coupled to a rear inner end face (138; 238) of the first upper cover section (112A; 212A); and a shelf (106; 206) which is slidable from a front of the chassis (102; 202) and attached to the locking mechanism (104, 104A1, 204, 204A1), and wherein each shelf (106; 206) comprises: a front cover (142A); a base (144A) coupled to the front cover (142A); a pair of brackets (146A) connected to the floor (144A); a pair of risers (148A) comprising a first riser (148A1) containing a first plug socket (178A1) and a second riser (148A2) containing a second plug socket (178A2), each riser (148A1, 148A2) of the pair of risers (148A) being connected to a corresponding bracket of the pair of brackets (146A); and A pair of graphics processing unit (GPU) card assemblies (150; 250) comprising a first GPU card assembly (150A1) with a first connector and a second GPU card assembly (150A2) with a second connector, wherein the first GPU card assembly (150A1) and the first riser (148A1) are arranged along one lateral side of the pair of brackets (146A) and the second GPU card assembly (150A2) and the second riser (148A2) are arranged along another lateral side of the pair of brackets (146A), wherein the first connector is opposite the second connector socket (178A2) and the second connector is opposite the first connector socket (178A1), each GPU card assembly (150A1, 150A2) of the pair of GPU card assemblies (150; 250) being connected to a respective riser. (148A1) of the pair of risers (148A) is connected.

The disclosure provides methods, systems, and algorithms to identify and report genome or chromosome level structural information, such as the presence of structural variations. In some cases, structural variations include copy number variations, inversions, deletions, tandem duplications, or inverted duplications. Further provided herein are methods, systems and algorithms for assembling read-paired genomic data, including creating and optimizing scaffo

The invention relates to the technical field of constructional engineering, and particularly discloses an AI-based anti-seismic scaffold design model optimization method, which comprises the following steps of: acquiring vibration data from different vibration sources, structural parameters of a scaffold and load data in a construction process in real time, and preprocessing the vibration data, the structural parameters and the load data; a deep neural network model is selected to construct an anti-seismic scaffold design optimization model, and the preprocessed vibration data, scaffold structure parameters and load data are used as input vectors for training; after the scaffold is built and put into use, continuously collecting vibration data in real time through a sensor, and transmitting the data to the trained AI model in real time; and when AI model evaluation finds that the anti-seismic performance of the scaffold does not meet the safety requirement, the model automatically generates a targeted design optimization scheme based on an optimization strategy obtained by training. According to the method, the multi-source vibration data is comprehensively collected, the influence of different vibration characteristics is accurately considered, and the stability in a complex vibration environment is effectively improved.

A method and related software are disclosed for processing imagery related to three dimensional models. To display new visual data for select portions of images, an image of a physical structure such as a building with a façade is retrieved with an associated three dimensional model for that physical structure according to common geolocation tags. A scaffolding of surfaces composing the three dimensional model is generated and regions of the retrieved image are registered to the surfaces of the scaffolding to create mapped surfaces for the image. New image data such as texture information is received and applied to select mapped surfaces to give the retrieved image the appearance of having the new texture data at the selected mapped surface.

The invention discloses a construction scaffold safety diagnosis method based on multi-modal data fusion analysis, and the method comprises the steps: scanning a scaffold entity structure, and carrying out the modeling of a construction scaffold through a BIM technology; carrying out stress analysis on the basis of the scaffold model, and calculating and determining a safety parameter range of scaffold entity deformation and structural stress change on the basis of building construction scaffold safety technical specifications; the method comprises the following steps: acquiring structural stress data and deformation data of a scaffold, and preprocessing the data to obtain monitoring data; and extracting modal features from the monitoring data by adopting a parameter and modal correlation analysis method, fusing the modal features, and calculating a safety evaluation coefficient of the fused modal features based on a safety parameter range so as to judge the real-time safety state of the scaffold. According to the method, modeling and stress analysis are carried out on the scaffold in advance, so that the safety parameter range of a scaffold entity is determined, and finally the safety state of the scaffold is accurately judged by comparing the safety parameter range according to an actual data acquisition result.

The disclosure is related to a data management platform (“platform”) for providing a secure storage environment for digital contents associated with a user. The platform may be accessible via an app installed on a user device, which allows the user to upload, modify, and view digital contents. Because a digital content is mapped to a universal scaffold in a structured format, the platform can organize and display the digital contents in meaningful ways. The digital contents can be hosted on a remote server. The platform provides zero-knowledge encryption so that the digital contents stored at the server are secure, as in one cannot know the contents of the encrypted information stored at the server. The platform also facilitates zero-knowledge offers in which offers are sent to multiple users but the server does not know to which users the offers are presented until an offer is accepted by the user.