491 results about "Design charts" patented technology

The invention relates to the technical field of construction engineering cost management, and discloses an intelligent engineering cost calculation system based on multi-source heterogeneous data fusion, and the system comprises a multi-source data collection module which is used for collecting structured data and unstructured data from a design file, a market database, a construction monitoring system, a contract document, and a historical project library; and the heterogeneous data fusion module is connected with the multi-source data acquisition module and analyzes the risk terms in the contract text by adopting a natural language processing technology. According to the invention, the multi-source data acquisition module is used for widely collecting data in multiple aspects of design, market, construction, contract and the like, the problems of data splitting and information isolated island in traditional cost management are solved, integration of multi-source heterogeneous data is realized, and the heterogeneous data fusion module utilizes advanced technologies of natural language processing, image recognition and the like, so that the cost management efficiency is improved. Contract texts and design drawings can be efficiently analyzed, the processing capacity of unstructured data is improved, and the error rate and omission rate of manual interpretation are reduced.

The invention discloses a building robot multi-machine linkage construction method and system based on intelligent scheduling, electronic equipment and a storage medium, and relates to the technical field of construction control. The method comprises the following steps: acquiring design drawing information and landform environment information of a to-be-constructed area; based on the design drawing information and the landform environment information, constructing a BIM model of the to-be-constructed area; determining process stages of a plurality of construction points in the to-be-constructed area, and matching building robot selection schemes corresponding to the construction points based on the process stages; for each construction point, according to the position of the construction point in the target BIM model, determining navigation paths of a plurality of different types of building robots in the building robot selection scheme; and receiving preset operation tasks corresponding to the different types of building robots, and controlling the different types of building robots to construct the construction site in combination with the navigation paths and the preset operation tasks. By implementing the technical scheme provided by the invention, the effect of improving the building construction efficiency is achieved.

The invention relates to the field of image processing, and discloses an intelligent drawing checking method and system based on a multi-modal large language model, and the method comprises the steps: obtaining a to-be-checked target engineering design drawing and a to-be-checked task description; generating a global overview drawing based on the target engineering design drawing; performing global semantic analysis according to the global overview map and the review task description through a multi-modal large language model, and generating a global semantic analysis result and to-be-reviewed local area proposal information; cutting a local image from the design drawing; performing element identification analysis on the local image through a multi-modal large language model to obtain local structured information; and performing information fusion processing on the local structured information and the global semantic analysis result, generating complete drawing information, performing compliance verification and defect positioning on the complete drawing information and the structured specification knowledge base, and generating a review report. According to the method, intelligent review of the power grid engineering design drawing can be realized, the review efficiency and accuracy are improved, and meanwhile, the resource consumption is reduced.

The invention discloses an electromechanical engineering construction information operation and maintenance management method and system based on the Internet, and particularly relates to the technical field of data management. Constructing an initial BIM model based on the design drawing, and generating three-dimensional model data containing equipment geometric information and space coordinates; a three-dimensional laser scanning device or a high-precision positioning sensor is used for obtaining the geometrical morphology and actual coordinates of a real object on site; the collected point cloud data is compared with the initial BIM model through a spatial data matching algorithm, deviation is recognized, the BIM model is automatically updated, and model precision dynamic correction is achieved; binding the updated equipment information and an equipment entity with a two-dimensional code, and synchronously binding an actual position coordinate through an indoor positioning label; uploading the corrected model and equipment information to a cloud operation and maintenance platform to realize information centralized management and multi-terminal sharing; the method improves electromechanical engineering operation and maintenance efficiency and information precision, and has good application value.

The invention relates to the technical field of engineering project management, in particular to an engineering project construction quality management method and system, and the method comprises the following steps: extracting multiple items of design information of a target building based on project construction drawing information, and simulating and analyzing the stress distribution of a building structure under multiple loads through building a building information model. And evaluating the stability of the target building design, identifying and marking design defects, and obtaining a simulation analysis result. According to the method, by extracting the design information, constructing the building information model, evaluating the stability of building design, recognizing the design problem in the early stage, calculating the actual solidification rate of concrete and detecting the concrete quality, reworking and overhigh cost caused by the concrete quality problem are reduced, and defects in prefabricated parts are detected through ultrasonic waves; the construction safety and quality are improved, the construction deviation is quantified through measurement of an actual construction image and comparative analysis of the actual construction image and a design drawing, and efficient management of the construction quality of a target project is achieved.

The invention discloses a project cost risk monitoring method and a project cost management platform, and the method comprises the steps: S1, carrying out the real-time collection and standardization processing of multi-source data: collecting dynamic data in real time through an Internet of Things device at a construction site, carrying out the butt joint of a design drawing, a financial system and the like, obtaining static data, and employing a data cleaning, conversion and integration technology; s2, carrying out risk factor identification and correlation analysis based on a knowledge graph; s3, implementing risk quantitative prediction and early warning driven by artificial intelligence; s4, real-time monitoring and automatic verification of contract performance of blockchain enabling are realized; s5, providing dynamic cost adjustment and optimization decision support; through real-time collection and standardization processing of multi-source data, data islands of all parties participating in a project are broken, and accuracy, integrity and timeliness of key data such as construction progress and cost expenditure are ensured. Based on big data analysis and artificial intelligence prediction, more accurate risk assessment and cost prediction are provided for project managers.

The embodiment of the invention provides an artificial intelligence-based engineering cost method and device, and the method comprises the steps: synchronizing the market material price, design drawings and engineering logs of a total engineering project to a federated learning network in real time, obtaining the parameters of a building information model, constructing a dynamically updated engineering digital twinborn body based on the data, and carrying out the construction of the engineering digital twinborn body. Constructing a cost prediction model comprising design institute nodes, construction party nodes and material nodes according to the federated learning network, respectively extracting engineering drawing features, log time sequence data and market material prices to predict the total project price, compressing the cost prediction model into a lightweight model, and constructing the cost prediction model; and receiving real-time data of the engineering digital twinborn body, feeding back the real-time data to the block chain for evidence storage, optimizing the construction mode according to the current engineering amount and material demand, and updating the optimized construction mode to the engineering digital twinborn body. According to the method, the defects in the aspects of accuracy and real-time performance of the engineering cost are effectively overcome, and the accuracy, the real-time performance and the efficiency of the engineering cost are remarkably improved.

The invention discloses a GIS-based site vertical design earthwork volume calculation method and system, and relates to the technical field of earthwork volume calculation, and the method comprises the steps: constructing a site current situation DEM according to a topographic map; constructing a site design DEM according to the vertical design drawing; performing grid analysis on the site design DEM and the current situation DEM to obtain grid data of earth surface filling and excavation; in combination with control and regulation data, the earth surface filling and digging earth volume of each pattern spot of the planned land is calculated; calculating underground engineering excavation amounts of building underground spaces, subways and underground comprehensive pipe galleries of each pattern spot of the planned land; and calculating to obtain the total filling and digging amount of each pattern spot of the planned land, and generating a filling and digging thematic map. The system comprises a current situation DEM construction module, a design DEM construction module, an earth surface excavation and fill amount calculation module, an underground engineering excavation amount calculation module and a total excavation and fill amount calculation module. The method is simple, convenient, high in efficiency and precision, low in cost, wide in application range and more reasonable and accurate in calculation result by considering the unearthing amount of the underground engineering, and provides a more reliable basis for vertical design and construction of a site.

The invention discloses a landscape design system based on artificial intelligence man-machine interaction, and the system comprises a multi-mode analysis module which is used for extracting keywords and semantic description, and generating user intention data; the structure segmentation module is used for processing the site image, generating a semantic segmentation mask graph and constructing structure control data in combination with the user intention data; the text prompt module is used for converting the user intention data into text generation prompt information; the diffusion generation module is used for receiving the text generation prompt information and the structure control data and generating a landscape design drawing; the interactive feedback module is used for displaying the landscape design drawing, updating the semantic segmentation mask graph and text generation prompt information and generating control condition data; the three-dimensional modeling module is used for performing three-dimensional reconstruction and generating three-dimensional landscape representation; and the space feedback module is used for extracting space parameters, outputting an ecological analysis result and feeding back the result to the interactive interface. According to the invention, intelligent optimization of multi-modal intention-driven landscape map generation and three-dimensional structure modeling is realized.

The invention discloses a boiler design file intelligent identification system and method based on a multi-modal knowledge graph. The method comprises the steps that S1, a data collection module is used for collecting a large number of existing boiler design files as a data set; s2, extracting information on the boiler design drawing in the data set by using a multi-modal feature extraction module to form a text-image multi-modal joint feature vector; s3, constructing a multi-modal boiler design knowledge graph with engineering semantics, graph structure association and reasoning capability; and S4, inputting the extracted key point information on the boiler design drawing to be examined into the knowledge graph model, and judging whether each design point meets the design specification requirements of the boiler drawing or not. According to the method, the identification period is greatly shortened, the working efficiency is improved, and the missed examination rate is remarkably reduced.

The invention relates to the technical field of underground engineering safety monitoring and disaster simulation, in particular to a digital twinborn deduction platform for underground engineering disaster chain evolution simulation, which comprises a multi-disaster coupling numerical simulation module used for acquiring multi-source data including design drawing data, geological data and engineering monitoring data, and based on the multi-source data, establishing an initial stress field model by using a numerical calculation method combining a finite element and a finite difference, and carrying out leakage-settlement-structure failure multi-disaster coupling numerical simulation. According to the method, the partial differential equation for describing the evolution law of the underground engineering is used as a constraint term to be embedded into the deduction model, and online identification and dynamic extrapolation of parameters are executed by fusing real-time monitoring data, so that the accuracy of disaster evolution simulation under complex working conditions is remarkably improved; and the problem that the traditional numerical calculation method is difficult to meet the real-time requirement of digital twinning is solved.

The invention provides a foundation pit excavation deformation prediction method and device based on finite elements, and relates to the technical field of foundation pit construction.The method comprises the steps that firstly, a digital geologic model is built based on geological survey drilling data, and a foundation pit excavation finite element numerical simulation model is built in combination with a foundation pit supporting design drawing of a design institute; orthogonal design parameters are combined to obtain multiple groups of simulation data, and a twinborn database is established; constructing an initial prediction model and training by using a twin database to obtain a target prediction model; obtaining foundation pit monitoring data through a sensor, extracting data corresponding to the twin database to form an effective parameter combination, and inputting a target model to predict a foundation pit excavation deformation result in the next stage; and judging whether a foundation is excavated or not according to a deformation result, and if not, continuing to predict until the foundation is reached. According to the method, modeling is performed by combining geology and design data, the model is trained by using a twin database, deformation can be accurately predicted, dynamic monitoring and real-time prediction are realized by combining monitoring data, and construction safety is guaranteed.

The invention discloses a method for rapidly judging the surrounding rock stability of a shallow-buried large-span tunnel in an upper-soft and lower-hard stratum, and relates to the technical field of tunnel engineering design. Constructing a physical plane graph according to the engineering design drawing; mapping the physical plane graph to an image plane through a conformal mapping function; generating a stress field analytic equation corresponding to the physical plane according to each parameter in the image plane graph and the complex variable function analytic form; calculating a plurality of different principal stresses of the surrounding rock through the stress field analytic equation, calculating a shear failure stress according to the plurality of different principal stresses, and obtaining an expression between the normal stress and the shear stress of the surrounding rock; and defining the shear failure shear stress as tau c, the shear stress as tau and the shear safety coefficient as s = tau / tau c, judging whether s is greater than 1 or not, and if so, considering that the unit rock mass meets the failure condition. The method aims at quickly and accurately evaluating the surrounding rock stability of the large-span tunnel in the upper-soft and lower-hard stratum, and the safety risk and the cost pressure faced by tunnel construction are reduced.

The invention discloses an automatic test case generation method and system based on a large model, and the method comprises the steps: multi-modal data fusion: receiving a natural language demand, a UML design drawing, an API document, a historical defect log and system monitoring data, aligning text and image features through a CLIP model, analyzing the interface constraint through CodeBERT, and carrying out the multi-modal data fusion; feature fusion is realized by adopting a cross-modal attention mechanism; a dynamic test scene modeling step: constructing an environment simulator based on reinforcement learning, and simulating high-concurrency, distributed abnormal and other complex scenes; and a layered test case generation step: generating a function test case, a boundary test case and an increment test case through GPT-4, GAN and LSTM respectively, and introducing an entropy evaluation model to quantify the effectiveness of the cases. According to the method, the multi-modal data is brought into the test case generation process for the first time, the test case generation time is shortened by 80%, the complex scene coverage rate is increased to 95%, the semantic matching degree reaches 92%, and the intelligent level and efficiency of software testing are remarkably improved.

The invention discloses a digital twin model evolution method and system based on constructional engineering. The invention relates to the technical field of constructional engineering. Related data of the long-distance water conveyance project are collected, wherein the related data comprise BIM model data, oblique photography three-dimensional model data and GIS data; meanwhile, the data are preprocessed, including format conversion, coordinate unification and denoising, so that the quality and consistency of the data are ensured. A three-dimensional BIM model of the engineering facility is constructed based on Autodesk Revit according to a design drawing and collected data, the facility and equipment in the BIM model are coded according to a KKS coding rule, and a coding database is updated; according to the method, the BIM model data, the oblique photography three-dimensional model data, the GIS data and other multi-source data are fused, a refined three-dimensional scene model is constructed, and comprehensive integration of engineering facility information is achieved. Therefore, data sharing and collaboration among different departments and professions are facilitated, and the overall working efficiency is improved.

The invention discloses a three-dimensional modeling method for extracting a road design center line based on Dynamo, and the method comprises the steps: extracting horizontal curve and vertical curve data from a design drawing, and writing the data into a single Excel worksheet according to a sequence from small stake marks to large stake marks; according to the pile-by-pile coordinates, the coordinates of the road center lines of all the pile numbers are exported into an Excel worksheet according to the sequence from the small pile numbers to the large pile numbers; performing forward calculation and reverse calculation to check the accuracy of the corrected coordinates in a bidirectional manner; exporting a stake-by-stake coordinate table, and storing the stake-by-stake coordinate table as an Excel file according to stake numbers, X coordinates, Y coordinates and elevations; the Dynamo program reads the coordinate data in the Excel file, and the Dynamo program reads the coordinate data in the Excel file; converting the construction coordinate system into a Revit global coordinate system; the Dynamo program reads the x, y and z coordinates of the points to generate a three-dimensional curve of the road center line, and reads the x and y coordinates of the points to generate a horizontal curve of the road center line; the Dynamo program generates road center lines of segments according to mileage stake numbers; according to the method, various defects and problems existing in existing complex geometric line type road modeling are solved.

The invention discloses a bridge structure monitoring method based on multi-source data and digital twinning and a related device, and relates to the technical field of bridge engineering.The method comprises the steps that an initial finite element model of a target bridge is constructed based on a design drawing and structural parameters of the target bridge, and the initial finite element model of the target bridge is constructed based on the initial finite element model and preset load conditions; calculating to obtain simulation mechanical response data of each grid node of the target bridge; based on the simulation mechanical response data and the obtained actually measured mechanical response data of each grid node of the target bridge, obtaining a corrected finite element model; inputting the obtained traffic load data passing through the target bridge into a digital twinborn calculation model constructed based on the corrected influence line data for numerical calculation to obtain an overall structure response cloud picture and a structure response-time curve of the key monitoring point, and fusing the overall structure response cloud picture and the structure response-time curve with the obtained three-dimensional visualization model to obtain a three-dimensional visualization model; and obtaining the structural state of the target bridge. According to the invention, accurate monitoring and real-time state evaluation of the bridge structure are realized.

The invention provides a design method based on a BIM model, and relates to the technical field of building design. The method comprises the following steps: constructing a component library of a BIM model, wherein the component library is used for determining that each component used in the BIM model meets a target construction standard; determining a drawing standard and a deepening direction of the building project based on the target construction standard; building a BIM model of the construction project based on the component library, and performing deepening processing on nodes in the BIM model based on the deepening direction, and obtaining a target BIM model under the condition that the deepening processing is completed; and receiving attribute information of a drawn drawing, and generating a construction drawing conforming to the drawing output standard based on the target BIM model. According to the method, the technical concept of forward drawing output can be achieved, the homology and consistency of design data are kept, and therefore the accuracy of produced design drawings can be improved.

The invention relates to the technical field of aero-engine quality inspection, and discloses an aero-engine part machining quality detection method based on data management. The method comprises the following steps: collecting multi-source machining data of a part, wherein the multi-source machining data comprises dimensional tolerance, surface roughness and material hardness data; key quality features are extracted according to a design drawing, and the key quality features and the multi-source processing data are subjected to time sequence alignment according to process stages; a three-dimensional mass space model with the process stage as the horizontal axis, the key quality features as the longitudinal axis and the multi-source machining data as the depth axis is constructed, and a mass distribution thermodynamic diagram is generated; identifying an abnormal process region based on the thermodynamic diagram, extracting a corresponding data subset, inputting the data subset into the dynamic convolution kernel quality analysis network, and outputting a process abnormal probability value; when the probability value exceeds a threshold value, triggering cross-process correlation analysis, and fusing upstream and downstream process data to generate a composite quality feature vector; and an abnormal type is judged through a cascade classifier, and a compensation strategy library is called to generate a machining parameter adjustment instruction set.

The invention discloses an intelligent construction simulation system based on BIM and virtual reality fusion, and the processing flow of the intelligent construction simulation system comprises the steps: constructing a three-dimensional digital model according to a design drawing, geological exploration data and a planned construction progress; a three-dimensional digital model is used as a core, a digital twinning model of a bridge is built in combination with the Internet of Things, a sensor and a big data analysis technology, the three-dimensional digital model and the digital twinning model are integrated to a VR development platform, and virtual simulation is performed on a bridge construction site; inputting real-time sensing data acquired by various sensors into the digital twinborn model, and constructing a dynamic risk field; and carrying out risk propagation path analysis and dynamic early warning threshold adjustment according to the dynamic risk field to obtain a risk thermodynamic diagram, an early warning level and a recommended coping strategy. According to the invention, the limitation of a traditional construction management mode is broken through, regulation and control can be carried out in advance according to the predicted risk, and a more comprehensive, accurate and real-time simulation and management means is provided for the bridge construction process.

The invention discloses a planning permission data processing method, device and equipment based on a geographic information system, relates to the technical field of graphic data processing, and aims to solve the problem of relatively low processing and analysis efficiency of planning permission data. The method comprises the following steps: converting a planning range line and a building contour line in a computer-aided design (CAD) drawing into topologically closed geographic information system (GIS) surface data, extracting planning design layer information with a spatial association relationship from the GIS surface data, and constructing a structured planning database; based on an analysis engine of a GIS, determining an overlapping surface domain of planning data and permission data in the structured planning database, and dynamically segmenting and recombining the overlapping surface domain through a topological cracking-clustering algorithm to obtain at least one planning region; determining the planning type of each planning area according to a preset priority sequence, and generating a visual layer with a real-time conflict mark; and calculating a permission compliance index and generating an analysis report based on the spatial topological relation and the visual layer.

The invention provides a method and equipment for generating an ultrahigh-resolution city layout by using a design drawing, and a medium, relates to the field of image generation, and is used for solving the problem that a traditional automatic city generation program is based on rules and lacks flexibility. The method comprises the steps of obtaining a target city layout design drawing drawn by a user; according to a preset step length and a preset sequence, sequentially extracting design sub-drawings with preset window sizes from the target city layout design drawing; coding the design sub-graph into a condition vector feature graph; inputting the character cue words and the condition vector feature graph into a generative model to obtain a partial city layout map corresponding to the design sub-graph; the character prompt words are used for describing task information of image generation; and filling the partial city layout map into corresponding positions in the blank map until the target city layout design drawing is traversed, and obtaining a target city layout map. The method can adapt to design drawings with different complexities and flexibly and automatically generate the city layout map.

The invention provides an automatic auditing method and system for a highway alignment design drawing, and the method comprises the steps: obtaining an auditing key element drawing containing key elements through a drawing preprocessing unit; a convolutional neural network is adopted to extract a feature map and vectorize the feature map, and a recognition type and an element position recognition frame of each key element in the key element drawing are output and audited in parallel; and the input verification control module verifies the key element feature vector and obtains an adaptive auditing rule. The method is oriented to a drawing which contains multiple types of key elements and non-preset types of key elements, and the position and spatial form of each key element present highly dynamic changes, and the efficiency and accuracy of key element identification, analysis and judgment can be effectively improved.

The invention provides a correction method of a bridge finite element model, and relates to the field of bridge engineering. According to the method, bridge design drawings, construction records and actual detection data are collected, an initial finite element model is established, key parameters are initialized, a trained neural network model is utilized to evaluate initial grid quality, a self-adaptive grid division technology and engineering experience are combined to optimize grids, parameter sensitivity analysis is carried out through a machine learning algorithm, and the quality of the grid is evaluated. Key correction objects are screened, an optimal parameter combination is automatically searched by using a deep learning model or an optimization algorithm, and finally, the corrected model is comprehensively verified by adopting an independent verification data set. The method improves the model correction efficiency and precision, enhances the adaptability to a complex bridge, and provides a reliable basis for bridge safety assessment and maintenance.

The invention provides a steel structure construction site management platform based on the Internet of Things. The acquisition module is used for acquiring component information and construction environment information in real time. And the decision module carries out fusion analysis on the component information and the construction environment information, and carries out deep design on construction structure installation through a BIM technology in combination with a design drawing. And the application module performs review marking on the deepened design drawing, and automatically associates the deepened design drawing according to expert review opinions to further deepen the design drawing to obtain a final construction drawing. And the execution module calls installation equipment and formulates a component installation sequence through the final construction drawing and the component information, and feeds back an execution state to the acquisition module. Through cooperation of all the modules, the assembly efficiency can be improved, and the installation period can be shortened. The installation precision and the installation reasonable rate are greatly improved, the resource utilization rate can be optimized, and the turnover rate of a storage yard is improved.

The invention discloses an engineering design drawing one-key publishing and automatic volume dividing method based on threshold parameters. The method comprises the steps that S1, basic information of publishing and volume forming is set; s2, defining an initial threshold parameter according to the basic information of the published volume; s3, extracting feature data of the engineering design drawing and forming a feature matrix by the extracted feature data; s4, obtaining a feature weight; s5, dynamically adjusting the initial threshold parameter according to the feature weight; s6, the system pre-divides the engineering design drawing data to be published according to the dynamically adjusted threshold parameters; s7, marking each drawing set in the pre-book-dividing result to form a drawing set marking sequence, and dynamically adjusting the book-dividing result according to a balance strategy of feature weight optimization; and S8, merging and processing the divided engineering design drawing data according to the dynamically stored divided volume information, and generating a final publication and volume file. According to the method, the aims of efficient, accurate and comprehensive one-key publishing and automatic volume dividing of the engineering design drawings are achieved.

1. Name of the design product: Cockpit chart graphical user interface for electronic equipment. 2. Purpose of this design product: This design product is used for an electronic device. 3. The design highlights of this appearance design product lie in the interface content of the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. The contents of other views are conventional designs, omitting the rear view, left view, right view, top view and bottom view of Design 1 and Design 2. 6. Designate Design 1 as the base design. 7. Purpose of the graphical user interface: This graphical user interface is an interactive interface for displaying data of the cockpit retracement trend indicator chart. 8. Human-computer interaction mode of graphical user interface: The main views of Design 1 and Design 2 are the interfaces of the retracement trend indicator chart. Move the mouse up to the chart of the main view of Design 1 to display the interface change status diagram 1 of Design 1. Then click the trend line of the chart to change it to the interface change status diagram 2 of Design 1. Click the fifth small icon in the upper right corner of the chart box of the main view of Design 2 to display the interface change status diagram of Design 2.

The invention relates to a cast-in-place box girder image cross-key parameter identification method based on target detection and key information extraction. The method comprises the steps that a bridge design drawing is acquired and preprocessed; a bridge structure detection model is obtained and trained; according to the image after bridge multi-view structure target detection, bridge structure images under different views are intercepted; selecting different key parameters needing to be identified; an editable Excel document is obtained; and summarizing into a new Excel document of the key parameter information of the bridge structure in the same span. According to the method, semantic information is given to key parameters in the drawing, parameter names correspond to values, modularization of plane graph parameter identification is achieved, and the key parameters of the PDF drawing can be efficiently and automatically extracted; and finally, a cross-recognition and integration method is adopted to successfully solve the multi-view parameter recognition problem, and beneficial exploration is carried out for an artificial intelligence algorithm to understand engineering design drawings. And key parameters of multiple views in the cast-in-place box girder PDF drawing can be rapidly and accurately extracted.

The invention discloses a tunnel excavation disturbance monitoring method crossing an existing tunnel, and relates to the technical field of underground engineering construction and safety monitoring, and the method comprises the following steps: collecting real-time monitoring data, obtaining a design drawing, constructing a three-dimensional space reference model based on the design drawing, mapping the real-time monitoring data to the three-dimensional space reference model, and constructing a three-dimensional space reference model; the method comprises the steps of generating a disturbance field cloud picture, generating a time sequence three-dimensional sub-model according to a construction step sequence, carrying out space time sequence analysis on a three-dimensional space reference model, generating a time sequence space analysis result, and carrying out early warning according to an abnormal result of the time sequence space analysis result. According to the method, coordinate verification and space correlation are carried out to form a reference, monitoring data are mapped to generate a disturbance field cloud picture, a time sequence sub-model is generated according to a construction step sequence, space time sequence analysis and preset threshold automatic early warning are carried out, full-process monitoring, visual analysis and risk management and control are realized, and the construction safety and economical efficiency are improved.

The invention provides a QGIS-based construction plane layout drawing method and system, and belongs to the technical field of building construction, and the method comprises the following steps: S1, data processing and collection: carrying out ortho-image collection, carrying out image shooting through a shooting device, and then carrying out ortho-image processing on the shot data; s2, establishing a unified coordinate system, newly establishing a map project in the QGIS, and setting map attributes as the coordinate system required by a design drawing; s3, drawing elements required by the plane layout diagram, newly creating a layer in a database where the plane layout diagram is located in the QGIS directory, and adding the elements; and S4, setting export size arrangement, inserting line selection, newly building a layout, and selecting the layout according to the size of the plane layout diagram to be exported. The problem that when CAD is traditionally used for drawing, some structures conflicting with the site exist in a design drawing, and consequently the construction plane arrangement cannot well reflect the site environment is solved.