77 results about "Project design" patented technology

The invention discloses a conflict detection processing method and system based on a BIM model, a medium and a product, and relates to the technical field of constructional engineering, and the method comprises the steps: obtaining a construction project design scheme; based on a preset model framework, determining a BIM model according to the construction project design scheme; predicting potential conflict points in the BIM model based on a preset conflict mode library; matching the potential conflict points with the building structure, the electromechanical pipeline and the equipment layout by using a space mapping algorithm, and determining possible conflict areas; on the basis of a natural language processing technology, operable solution suggestions are generated according to the possible conflict areas; after the operable solution suggestions are sent to the user, the solution suggestions determined by the user are received; and adjusting the BIM model based on the solution suggestion. By implementing the method, the accuracy and intelligence of conflict detection can be improved.

The invention relates to the technical field of construction progress management, in particular to a building construction progress intelligent tracking and pushing method and system based on BIM, and the method comprises the following steps: S1, constructing a 3D-BIM model, building a mapping relation, and forming a progress plan model; s2, collecting dynamic construction progress data of a construction site, and generating a construction real spot cloud model; s3, based on the generated construction real spot cloud model, analyzing the construction progress monitoring data difference between the Ti time period and the Ti + 1 time period, and evaluating the actual construction speed; s4, comparing the construction progress deviation between the actual construction speed and the planned construction speed, and judging whether progress delay exists or not; and S5, when progress delay exists, identifying and classifying delay reasons, generating a subentry progress deviation report, and pushing a deviation correction scheme. According to the invention, dynamic and real-time visual progress tracking and control are realized, the real-time requirement of project design file progress dynamic tracking is met, and the fine management level of construction progress tracking is improved.

The invention relates to the technical field of building information modeling, and discloses a parameterized BIM modeling method, which comprises the following steps: step 1, acquiring specific design parameters of a modeling object in a project design requirement, marking key geometric parameters of the object, including length, width, height, volume and material characteristics, and defining units, physical meanings and application ranges of the parameters in a marking process, a basis is provided for subsequent entity model construction; and 2, based on the geometric parameters marked in the step 1, a solid model is constructed through a BIM modeling tool, and the solid model is a visual model with the shape, the size and the position determined through the geometric parameters in a three-dimensional space. The three-dimensional BIM model is dynamically generated and modified by modifying geometric parameters, model construction is more flexible and efficient due to introduction of parameterization logic, automatic adjustment and rapid iteration of the model are achieved, and the reusability of BIM modeling and the design efficiency of the building model are remarkably improved.

A data processing system implements receiving, from a design application, property location information associated with a property and a first natural language prompt describing a design for a construction project associated with the property; accessing a plurality of data sources to obtain information associated with the property; analyzing the information associated with the property using one or more machine learning models to generate a preliminary site plan, the preliminary site plan representing a current state of the property; analyzing the first natural language prompt and the preliminary site plan using one or more machine learning models to generate a proposed design for the construction project; causing the design application to present the proposed design on a user interface of the design application; receiving an indication from the design application to finalize the proposed design; and generating content for the proposed design using the one or more machine learning models.

The invention discloses an infrastructure digital twinborn dynamic registration method, system and device based on a deep neural network, a medium and a product, and relates to the field of digital twinborn registration, and the method comprises the steps: building a digital twinborn model based on the project design of an infrastructure project; predicting growth data of the digital twin model; based on the predicted growth data, using the trained deep neural network to predict a compensation error; and compensating the digital twin model based on the compensation error to realize dynamic registration of the digital twin model. According to the method, the error between the digital twinborn model and the physical entity can be reduced, and the fitting precision of the digital twinborn model and the actual construction state is improved.

The present invention relates to a system and a method of controlling a constructional project by determining and / or simulating a progress of the project. A determination and / or simulation of the progress is based on a machine learning approach (ML) for automated construction analytics and / or project design and / or project schedule and comprises a confidence score being considered. A determination component is configured for determining the progress of the constructional project and for determining a confidence score of the determination and a controlling component configured for controlling further technical steps based on the progress determination.

The invention provides a project full-process dynamic management method and device. The method comprises the steps of obtaining project basic information and historical project information; performing economic index evaluation on the project basic information according to a preset standard; if the economic index evaluation is passed, generating a budget file by using the project design scheme; the project design scheme is generated according to project basic information; generating project plan data according to the budget file and the historical project information; and dynamically adjusting a project construction plan by using the project plan data and the periodically acquired project progress and project cost. According to the project full-process dynamic management method and device provided by the invention, dynamic collaborative management of progress, cost and benefit in a project full life cycle is realized, the accuracy of project management decision is improved, and the cost of project construction is effectively controlled.

The AUTOBUILD schedule system / module gathers project design data information and basic schedule constraint goal information and separates and categorizes all parts and pieces from large pieces of equipment and assembly systems to the smallest connection materials such as closure trim, screws, nails, adhesives etc. From a basic construction logic, the AUTOBUILD schedule system / module assembles the initial schedule for the project. This initial schedule is then reevaluated by its internal system taking into several factors, including (1) an initial review and resequencing from a human professional; (2) information received from vendors bidding the project; and (3) input giving further accurate details of quantities required, actual production and delivery dates, weather, and / or other environmental factors, etc. The AUTOBUILD schedule system / module then tracks the actual project progress utilizing information and status of contractual commitments, procurement approvals, fabrication, and delivery.

The invention provides a project design and optimization method and system and a storage medium, and the method comprises the steps: obtaining initial project information, and carrying out the cleaning, normalization and correlation processing of the initial project information, so as to obtain processed project information, which comprises processed historical project information and processed current project information; processing the processed historical project information based on a natural semantic algorithm and a fusion model to construct a knowledge graph; constructing a project performance prediction model by adopting a machine learning method based on the processed historical project information and the knowledge graph; obtaining a project demand, determining a constraint condition based on the project demand, and obtaining a candidate project based on the constraint condition, the project performance prediction model and the processed project information; a final item is determined based on the candidate items. The design efficiency can be improved, and the resource consumption can be reduced.

The invention relates to the technical field of building engineering management, and discloses a building engineering design and management system based on a BIM technology, and the system comprises a data collection and processing module which integrates a BIM model, real-time construction data and operation and maintenance records, and carries out the standardization processing; after the dynamic tensor and multi-agent collaborative optimization module receives the data, modeling and updating are carried out by utilizing a dynamic topology tensor, and collaborative optimization is carried out on a plurality of agents through a game theory; the cross-stage graph neural network reasoning module constructs a heterogeneous graph and reasones a component relationship, and provides decision support; and the decision support and closed-loop feedback module adjusts system parameters in real time and feeds back the system parameters to the above modules to form closed-loop optimization. According to the method, the cross-stage graph neural network reasoning module is adopted, a heterogeneous graph is constructed, a graph neural network is applied to conduct reasoning on the complex relation between building components, and the dependency and conflict problems of different stages in a building project are accurately recognized.

According to an embodiment of the present invention, a method is provided for pressurized routing linear components. The method includes obtaining data related to a project. Features are extracted from the obtained project data. The extracted features include linear component characteristics and project environment characteristics. A project design is obtained based on at least one of user input and predetermined extracted features from the extracted features from the obtained project data. The project design includes installation or uninstallation of a linear component in relation to an apparatus. Pressurization is calculated of a plurality of pouches disposed in a pressurized sleeve for the installation or uninstallation of the linear component in relation to the apparatus based on the project design. The calculated pressurization of the plurality of pouches disposed in the pressurized sleeve is implemented.

One variation of a method includes: accessing a descriptor of a project; extracting a set of language signals from the descriptor; accessing a set of input parameters and a set of output characteristics; querying a language model for a range of values of input parameters exhibited within historical engineering solutions correlated with the set of language signals; accessing a virtual model for the project and a function representing a relationship between the set of input parameters and the set of output characteristics; for each analysis instance in a count of analysis instances, defining a combination of values of input parameters within corresponding ranges and based on the virtual model, the function, and the combination of values, executing the analysis instance to calculate a set of values of output characteristics; and rendering representations of combinations of values of input parameters and sets of values of output characteristics within a user interface.

The invention discloses an engineering collaborative design management and control method and system based on digital twinning, and relates to the technical field of digital twinning, and the method comprises the steps: presenting a project design in a digital twinning model through a virtual reality environment based on a collaborative management matrix, carrying out the interactive design review and optimization, and generating an optimized design scheme; based on the optimized design scheme, the project team arranges task execution according to the design progress, and generates a task execution plan and resource scheduling data; monitoring actual execution conditions of the task execution plan and the resource scheduling data, and generating a quality control report by analyzing execution deviation and performing quality control; by automatically generating the task execution plan and the resource scheduling data, the design quality and the project management efficiency are improved, and the flexibility and the real-time performance in the project execution process are enhanced.

The invention discloses an industrial building frame structure design method based on artificial intelligence. The method comprises the following steps: a, establishing an industrial building frame structure design scheme database; b, inputting constraint conditions through a man-machine interaction platform; c, based on an artificial intelligence generative algorithm, an initial structure arrangement scheme is generated according to input constraint conditions, and automatic checking is carried out to solve the problem of collision between structural members and professional equipment; d, calling structure analysis software to verify the initial structure arrangement scheme; e, the structure engineer evaluates and analyzes the structure arrangement scheme and the calculation result, confirms the feasibility of the structure arrangement, and generates a three-dimensional structure model and a two-dimensional construction drawing based on the BIM technology; and f, performing artificial detail supplement on the construction drawing, and outputting a final construction blueprint. Structural arrangement, verification and optimization processes are automatically completed by an artificial intelligence analysis processing system, so that the labor cost is reduced, the design time is saved, and the project design period is shortened.

According to an embodiment of the present invention, a method is provided for pressurized routing linear components. The method includes obtaining data related to a project. Features are extracted from the obtained project data. The extracted features include linear component characteristics and project environment characteristics. A project design is obtained based on at least one of user input and predetermined extracted features from the extracted features from the obtained project data. The project design includes installation or uninstallation of a linear component in relation to an apparatus. Pressurization is calculated of a plurality of pouches disposed in a pressurized sleeve for the installation or uninstallation of the linear component in relation to the apparatus based on the project design. The calculated pressurization of the plurality of pouches disposed in the pressurized sleeve is implemented.

The invention provides an industrial project planning and design platform. The industrial project planning and design platform comprises a file generation module, a drawing generation module, a control planning module and an interactive planning module. A plurality of modules are integrated in the industrial project planning and design platform, and the file generation module and the drawing generation module can achieve configuration of hardware in a project and achieve automatic generation of hardware management files in the project. Furthermore, the control planning module and the interaction planning module can realize automatic generation of hardware content and linkage control logic in the project and generation of man-machine interaction content in the project according to the configured hardware information. In this way, automatic and standardized design of the industrial project can be achieved, and then the design efficiency of the industrial project is remarkably improved.

The invention relates to the technical field of hydraulic engineering tunnel design, and discloses a BIM (Building Information Modeling)-based tunnel transition section body type and steel bar parametric modeling method. Geometric information of the upstream and the downstream of the tunnel transition section and the upstream and downstream distance are obtained; based on the geometric information, the upstream and the downstream of the tunnel transition section are segmented, and the shape of the tunnel transition section is obtained through lofting operation; and according to the arrangement parameters of the steel bars, the arrangement positions of the steel bars are determined in the tunnel transition section body type, and modeling is completed through BIM. By means of the method, a large amount of modeling work of designers can be liberated, automation of repeated and tedious work is achieved, the three-dimensional BIM model of the tunnel transition section body shape and the reinforcing steel bars is automatically generated, the project design efficiency is greatly improved, and a complete, effective, convenient and rapid method is provided for the designers to design the tunnel transition section body shape and the reinforcing steel bars.

The invention provides an automatic programming method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a design demand of a project through an editor, sending a project-containing design request to a predictor, executing prediction through the predictor according to the design demand, returning a plurality of project design intentions to the editor, determining a target design intention from the plurality of project design intentions through the editor, and sending a project programming request to the predictor, executing programming design by the predictor based on the target design intention, and returning programming data to the editor, so that the editor generates an application program of the project. Therefore, through cooperation of the predictor and the editor, intelligent processing from project design requirements to project program generation is achieved, programming efficiency is improved, and design requirements of different application scenes can be accurately met.

This invention provides a project design and optimization method, system, and storage medium. The method includes: acquiring initial project information; cleaning, normalizing, and performing correlation processing on the initial project information to obtain processed project information, wherein the processed project information includes processed historical project information and processed current project information; constructing a knowledge graph by processing the processed historical project information using a natural language processing algorithm and a fusion model; constructing a project performance prediction model using machine learning methods based on the processed historical project information and the knowledge graph; acquiring project requirements; determining constraints based on the project requirements; obtaining candidate projects based on the constraints, the project performance prediction model, and the processed current project information; and determining the final project based on the candidate projects. This application can improve design efficiency and reduce resource consumption.

The invention provides a construction engineering design integrated management system, which comprises the following steps: constructing a construction engineering model according to a construction engineering design drawing; the construction project model is provided with a plurality of construction project sub-models BIM; each construction project sub-model BIM is provided with a data acquisition interface; collecting monitoring data in a construction project in real time, and transmitting the monitoring data to the corresponding construction project sub-model BIM of the construction project sub-model BIM; and the construction project sub-model BIM performs data cleaning and format conversion on the monitoring data, stores the monitoring data in a database, and transmits the monitoring data to a quality analysis module and a display module at the same time. According to the comprehensive management system for the construction project design, various data generated in the construction project can be comprehensively obtained in real time and displayed in real time, and quality monitoring of the construction process of the construction project is achieved.

The present invention is a method and system for calculating the load of civil buildings based on big data and artificial intelligence. The method includes T10 matching the building energy consumption database, T20 load calculation, and T30 determining the transformer, wherein T10 is the system design input, T20 is the system calculation process, and T30 is the system output. The input of the civil building load calculation includes four parts, namely the building energy consumption database, the total building area and the sub-item building area, the building type, and the area where the building is located; the load calculation output is the transformer configuration. The building energy consumption database is a national database of energy consumption of various types of buildings that has been clustered through big data statistics and artificial intelligence. The present invention changes the existing method of estimating key parameters based on the personal experience of engineers to using artificial intelligence to obtain actual big data of similar projects as the basis for design indicators of new projects. It avoids the wrong selection of transformers in civil buildings and saves operating costs and initial installation costs.

The invention discloses an intelligent collaborative design and management system, which belongs to the field of engineering design and management and realizes full-process coverage of engineering design and management by integrating a management module, a design module, a publishing module, a calculation module, a data module, an intelligent service module and the like. On-line project planning, data entrustment, project design, drawing publishing full-process intelligent design and project intelligent management are realized, full-professional authority-based on-line real-time editing of design data, automatic generation of a chart template, real-time and synchronous updating of data, automatic calculation and generation of a data table, intelligent equipment type selection, automatic calculation of materials and expenses, and automatic identification of errors are realized. The system has the functions of intelligent auxiliary reminding, drawing online checking, drawing automatic filing, meeting training, business travel intelligent reservation and the like, the design efficiency and the design quality are improved, the labor intensity of personnel is reduced, and the design and management intelligent level is improved.

The invention provides an industrial control automatic hardware configuration method and system based on artificial intelligence. The method provided by the invention comprises the following steps: receiving a plurality of structured project design tables; the project design table comprises an equipment list, a network configuration table and an IO point table; performing semantic analysis on the project design table based on a large language model and a domain knowledge base to generate a declarative description file; analyzing the declarative description file, and generating a corresponding API calling instruction of the integrated development environment of the industrial control system; and executing the API calling instruction according to a preset sequence to complete the hardware configuration of the industrial control system. According to the industrial control automatic hardware configuration method and system based on artificial intelligence provided by the invention, efficient, convenient and accurate industrial control automatic hardware configuration is realized, the technical threshold is reduced, and the configuration efficiency and accuracy are improved.

The invention specifically relates to a BIM-based hydraulic engineering design earthwork volume calculation method, and relates to the technical field of hydraulic engineering design, and the method comprises the steps: generating a cross-regional scheduling instruction through a high layer, and carrying out the coevolution process of intra-regional precise optimization and cost feedback iteration through a bottom layer until the overall total cost is converged, and obtaining an optimal cross-regional scheduling and intra-regional deployment scheme. According to the method, qualitative engineering constraints such as soil matching, construction time sequence and transport distance economy are converted into quantifiable transport network graph theory rules such as effective edge filtering, time sequence verification and flow limitation, and it is ensured that the measurement and calculation process strictly conforms to the actual construction logic; the risk that a deployment scheme is not feasible due to the fact that constraint consideration is not comprehensive in a traditional method is avoided from the source, and double improvement of measurement and calculation precision and construction adaptability is achieved.

The invention provides a design method and device for a deployment architecture and a storage medium, and the method comprises the steps: loading a webpage of a designer when a user logs in the designer; a canvas is arranged in the webpage; when it is verified that the user belongs to the deployment architecture design team in the project, primitives which are designed by the micro-service design team and / or the architecture design team in the project and represent system infrastructures are loaded in the canvas; configuring architecture deployment information for the primitives; and exporting the primitive and / or architecture deployment information as a deployment design result file. According to the embodiment, multi-person online design is provided for deployment architecture design, the multi-person cooperation capability is effectively improved, various design achievements in the project design process are undertaken, the deployment design efficiency is improved, the consistency and integrity of the design achievements are guaranteed, the adjustment of the project design achievements can be directly embodied and adjusted in the deployment architecture design, and the deployment architecture design efficiency is improved. And the accuracy of architecture deployment design is ensured.

The invention discloses a construction project digital design method and system based on data collaboration, and relates to the technical field of engineering construction information, and the method comprises the steps: obtaining project demand information and construction area environment information, and obtaining construction area geographic information and construction area climate information based on the construction area environment information. According to the method, the construction influence meteorology of the construction area is screened, so that accurate evaluation on the influence of the construction meteorology is ensured, the construction condition of the construction area is accurately analyzed through the engineering construction difficulty coefficient, whether the construction area meets the project design task or not is judged through the construction engineering construction index, waste of resources is avoided, and the construction efficiency is improved. By taking the building area planning with the maximum building area planning priority index as the optimal scheme of the building area planning, the construction engineering design efficiency is improved, the building structure is accurately analyzed through the building foundation quality index, and the stability and reliability of the building are ensured.

The application discloses a kind of mining engineering intelligent collaborative design system and method based on parameterization driving in the technical field of mining design, comprising: project support parameters, project standard style and specified project designer are obtained and stored by project level parameter hub module to project leader input;Whether the specified project designer is collaborative designed is detected by intelligent parameter inheritance engine module, and whether the project leader is adjusted to project support parameters and project standard style Data;In response to the specified project designer collaborative design, project support parameters and project standard style are sent to the specified project designer;In response to the project leader data adjustment, adjusted project support parameters and project standard style are sent to the specified project designer.The application realizes the unity of engineering design standardization and individualization, improves collaborative design efficiency and achievement standardization.

The invention relates to a full-process digital management method and system for a project design link. The method comprises the following steps: editing a project design document in a project process on line; integrating the project design documents, associating various project design documents based on demand BRP, and digitally penetrating various project design documents by taking function points as base points; various project design documents are disassembled and integrated, and digital assets are precipitated in a system dimension; and performing targeted modification and updating based on the function points, and multiplexing the digital assets through the function points and the associated contents of the function points. According to the method, demand design, development scheme design and test scheme design in the research and development process are managed in a centralized mode, full-process digital management of design research and development links is achieved, design assets in the management process are split and integrated according to system dimensions, and design asset precipitation and reuse of the system dimensions are achieved.

The invention relates to the technical field of engineering management, in particular to an engineering project integrated management system and method and a storage medium, and the system comprises a cloud server side and a user terminal; the cloud server side is used for generating a user identifier according to the user registration information, generating a system identifier according to the registration information of the service processing system, receiving project information uploaded by the user terminal, and executing a project management process, including creating a to-do list according to the service identifier; issuing the service identifier and the to-do list to a service processing system corresponding to the system identifier, storing handling data uploaded by each service processing system to a storage space associated with the service identifier, and updating the processing state of the to-do list in real time; and the user terminal is used for associating one or more service processing systems according to the user identifier, querying the to-do list and displaying the processing state of the to-do list. According to the system, project design and construction management are subjected to whole-process integrated management, user operation is simplified, and efficient management is achieved.

A project assembly system carries out the entire assembly of a designed construction project by directing subjects that will do the actual assembly, including utilizing automation and robotics that are currently available, and is adaptable to automation and robotics as the system evolves into the future. Initially, this system / module gathers the project design data, existing conditions of the site, and basic schedule constraint goal information inputted into it. It then takes this information, separates and categorizes all parts and pieces from large pieces of equipment and assembly systems to the smallest connection materials such as closure trim, screws, nails, adhesives, etc. With this information, the system further establishes project control points to ensure precise placement of each element and creates a step-by-step, piece by piece, matrix and sequence to control and direct the placement of each element.