9 results about "Project design" patented technology

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.

This invention discloses an automatic method and system for generating tunnel construction schedules. The method includes: collecting project design information; dividing the cross-section into blocks and determining block attributes based on construction methods, invert arch types, and cross-section construction procedures; formulating construction routes and determining dependencies based on the design route, dividing the construction route into segments and determining segment attributes; determining the cross-section blocks for each route segment and setting cycle advance and cycle duration parameters for each segment; combining the route with segmentation, block, and cycle schemes to obtain multiple construction schemes; creating tunnel, route, segmentation, block, and cycle tasks for each construction scheme, naming and sorting various tasks, creating task dependencies, calculating task durations, and forming a schedule. This invention, through parameterized construction process design, quickly creates multiple construction schemes and corresponding schedules, improving the efficiency and flexibility of schedule generation.

The application provides an intelligent design method for electromechanical systems based on semantic modeling and association, aiming at the problems of fragmentation of existing electromechanical system design knowledge, low reuse efficiency and poor cross-professional collaboration, and constructs a five-tuple semantic template, wherein G is a geometric skeleton, P is a parameter set, C is a rule set, R is an inline relationship, and K is external knowledge; converts project design requirements into a requirement feature vector, matches and instantiates the semantic template; in the instantiation process, the rule set C is executed, the geometric skeleton G is automatically driven to generate a BIM model, the multi-professional collaboration is maintained through the inline relationship R, and the real equipment parameters are backfilled by using the external knowledge K. Then, a design scheme is derived according to the instantiated semantic template. The application realizes parameterization, automation and intelligent reuse of electromechanical system design, significantly improves design efficiency and quality consistency, ensures cross-professional design collaboration, and is suitable for rapid generation of various building electromechanical systems.

1. Name of the designed product: development board (ESP32). 2. Use of the designed product: for ESP32 teaching and project design development. 3. Design points of the designed product: combination of shape and pattern. 4. Picture or photo that best indicates the design points: front view.

This disclosure relates to the field of digital design technology, and provides a method, apparatus, equipment, and storage medium for generating design schemes for real estate projects. The method includes: initializing and associating preset project design benchmark data based on project requirement data and a preset scheme design toolset to obtain compliant design data; processing scheme model creation based on the compliant design data and the preset scheme design toolset to obtain 3D model data; performing index analysis processing on the 3D model data to obtain spatial index data; associating and integrating the 3D model data and spatial index data to obtain target scheme data; and visualizing the target scheme data to obtain the target design scheme. This improves the efficiency and standardization of design scheme generation, enhances the collaborative efficiency between supplier input and scheme design, strengthens the intuitiveness and accuracy of scheme decision-making, and reduces internal and external communication costs and the losses from repeated modifications.

The application provides an industrial control automatic hardware configuration method and system based on artificial intelligence. The method provided by the application comprises the following steps: receiving multiple structured project design forms; the project design forms comprise a device list, a network configuration table and an IO point table; performing semantic analysis on the project design forms based on a large language model and a domain knowledge base to generate a declarative description file; analyzing the declarative description file to generate corresponding industrial control system integrated development environment API calling instructions; and executing the API calling instructions in a preset order to complete industrial control system hardware configuration. The industrial control automatic hardware configuration method and system based on artificial intelligence provided by the application are used to realize efficient, convenient and accurate industrial control automatic hardware configuration, reduce the technical threshold and improve the configuration efficiency and accuracy.

The invention relates to the technical field of construction project management evaluation, and discloses a construction project human resource green efficiency evaluation method and system. The method comprises the steps of obtaining a project progress state and post carbon footprint data of each stage based on building project design, construction and operation and maintenance stage division; constructing a post carbon emission responsibility matrix according to the carbon footprint data; calculating a post carbon effect index based on the target constraint; comparing the post carbon efficiency index with an industry target reference value to generate a standardized evaluation grade; generating a carbon effect deviation analysis result based on the project progress state and the standardized evaluation grade; and outputting a human resource green efficiency evaluation report through a report generation template according to a deviation analysis result, and providing a datamation evaluation basis for human resource green efficiency management through quantitative evaluation of post carbon efficiency and industry benchmarking.

The application discloses a device configuration method and device and a building automation system. The method comprises the following steps: obtaining engineering information through a configuration interface, wherein the engineering information comprises at least one of the following: an engineering area, a communication type, a protocol type and a point type corresponding to the engineering area, a communication environment and a communication mode used in the communication environment, an engineering type and custom configuration information; and matching and identifying the engineering information with a product library to output a device list. The application matches and selects types of the product library through multi-dimensional logical conditions, automatically and flexibly and quickly configures devices for a building automation project, efficiently and accurately outputs an optimal device list meeting requirements, makes the project respond quickly, reduces labor costs, reduces human error rate, improves project timeliness, improves configuration efficiency and accuracy, reduces project cost and project risk, improves project design efficiency, and solves the problem of low device configuration efficiency of the building automation project.