58 results about "Site model" patented technology

The invention discloses a risk assessment method and system based on a Bayesian network and an evidence theory, and relates to the technical field of risk intelligent assessment, and the method comprises the steps: determining an assessment dimension and an assessment index of a high-investment low-income risk of an educational institution in MOOC learning according to a human-cargo-field model and an industry report; constructing a MOOC learning risk assessment index system according to the assessment dimensions and the assessment indexes; constructing a Bayesian network structure according to the MOOC learning risk assessment index system; obtaining questionnaire data and expert opinions according to the MOOC learning risk assessment index system, and determining Bayesian network parameters based on the questionnaire data and the expert opinions; and inputting the Bayesian network parameters into the Bayesian network structure to obtain an assessment result of the high-investment low-income risk, the assessment result including a risk prediction result, a key risk factor and a sensitivity analysis result. According to the method, the high-investment and low-income risk in MOOC learning can be accurately evaluated.

System and methods for modeling, planning, and monitoring soil compaction. Laboratory test and historical data establish an historical baseline. A predictive baseline is computed from the historical baseline and a predictive site model. During the soil compaction of a calibration area, a predictive compaction model is computed from providing compaction scores obtained from standard tests, loose measurement maps and a compacted vibration map. During the soil compaction vibration data is used in conjunction with the predictive compaction to compute a compaction value. Upon detecting that the compaction value is within the target compaction threshold, an operator is notified.

The invention relates to the technical field of road engineering construction, and discloses a quality monitoring method and system for road construction, and the method comprises the steps: obtaining a time sequence image sequence of a construction region, carrying out the processing of the image sequence based on an improved Canny edge detection process, obtaining a binary image containing texture features, and carrying out the processing of the binary image. The method comprises the steps of calculating edge offset data of edge line segments between adjacent frames based on a dynamic time warping algorithm, constructing a pavement texture change model based on the edge offset data, identifying an abnormal region and calculating an area proportion of the abnormal region, and obtaining a construction quality evaluation index based on an edge expansion index and fusing data collected by an Internet of Things sensor. And comparing the construction quality evaluation index with a quality preset threshold value, triggering a grading early warning mechanism, and synchronously pushing the grading early warning mechanism to a highlight area of the construction site model. Based on the improved algorithm, the road surface texture noise interference is effectively inhibited, the edge detection stability is improved, the compactness prediction accuracy is improved, and the road construction quality monitoring efficiency is improved.

The invention relates to a digital twinborn model reconstruction method, in particular to a fractured well site digital twinborn model reconfigurable method, which comprises the steps of designing a fractured well site digital twinborn model multivariate attribute module and designing a fractured well site digital twinborn reconfigurable module. The multivariate attribute module comprises an equipment model size, a safety boundary, a current coordinate, a last coordinate, a well site model size and the like, and reconfigurable definition of various digital twin models of a fracturing well site is realized; and designing a digital twinning reconfigurable module of the fracturing well site, and supporting to manually or automatically construct a digital twinning fracturing scene consistent with an actual operation scene according to variable operation requirements through the established reconfigurable constraint conditions and different operation requirements. According to the method, the fracturing well site is reconstructed through the digital twinborn model, the planning and layout efficiency of the well site is improved, the problem of repeated design caused by a fixed mode is avoided, and the method is suitable for reconstruction of the digital twinborn model of the fracturing well site.

A method of determining work zones (334,336,338, 340, 342) includes receiving work site data, determining an actual site model (112) based on the work site data, determining a desired site model (114), and comparing the actual site model (112) to the desired site model (114) to determine a work plan, the work plan having work stages including a first work stage and a second work stage. The method further includes determining a first work zone (334, 336, 338, 340, 342) of the first work stage of the work plan, including a first plurality of work locations (302, 304, 306, 308, 312), and determining a second work zone (334, 336, 338, 340, 342) of the second work stage of the work plan, including a second plurality of work locations (302, 304, 306, 308, 312). The method further includes determining a safety zone (334, 336, 338, 340, 342), and determining a sequence for performing work for at least one of the first work zone (334, 336, 338, 340, 342), the first work locations (302,304,306, 308, 312), the second work zone (334, 336, 338, 340, 342), or the second work locations (302, 304, 306, 308, 312) based on the safety zone (334, 336, 338, 340, 342).

The application relates to the technical field of data processing, and relates to a site field model construction method based on BIM technology, which comprises the following steps: acquiring at least two images and at least three feature points, each image is divided into a construction area and a non-construction area; determining a target local geometric structure by using the at least three feature points, determining the credibility weight of a scene structure, and then determining the measured coordinates of a target feature point; determining the correction weight of the target feature point in a target construction area by using the measured coordinates and a construction completion coefficient of the target construction area, and correcting BIM design coordinates; determining the deviation correction value of a target non-construction area by using the measured coordinates, original BIM design coordinates and a foundation treatment quality coefficient; correcting an initial BIM model by using the corrected BIM design coordinates and the deviation correction value, and constructing a site to obtain construction data. The application effectively eliminates the deviation between a theoretical model and actual construction, improves model precision, and reduces construction errors.

The invention relates to a new energy power plant matched communication engineering full-chain operation optimization method, which comprises the following steps: step 1, establishing a new energy power plant matched communication engineering design scheme data file, and solidifying design auditing requirements; 2, judging a station model; 3, channel design and site model comparison are carried out; forming a first access scheme; step 4, performing communication resource feasibility check to form a second version of access scheme meeting resource requirements; 5, forming a complete design scheme; step 6, establishing a grid-connected plan collection template, and generating a grid-connected plan data file; and step 7, selecting a plant-station grid-connected process model to generate a grid-connected plan scheme, and further completing the full-chain operation optimization of the new energy power plant matched communication engineering. According to the invention, the standardization, integrity and accuracy of plant station data scheduling can be improved, the standardized operation of the business process is realized, and the operation efficiency is improved.

A method of determining work zones includes receiving work site data, determining an actual site model based on the work site data, determining a desired site model, and comparing the actual site model to the desired site model to determine a work plan, the work plan having work stages including a first work stage and a second work stage. The method further includes determining a first work zone of the first work stage of the work plan, including a first plurality of work locations, and determining a second work zone of the second work stage of the work plan, including a second plurality of work locations. The method further includes determining a safety zone, and determining a sequence for performing work for at least one of the first work zone, the first work locations, the second work zone, or the second work locations based on the safety zone.

To provide a construction management device, method, and program capable of grasping a progress state of construction of a building.SOLUTION: A construction management device 100 comprises: a three-dimensional model data creation unit 201 that creates three-dimensional model data of an entire construction site on the basis of three-dimensional models of terrains and buildings based on surveying data of the construction site and surrounding terrains and buildings; a construction plan data acquisition unit 202 that acquires construction plan data of the construction site; a simulation site model generation unit 203 that generates a simulation site model representing a state of the construction site at a specified time point on the basis of the construction plan data, the three-dimensional model data, and three-dimensional models of construction machines used at the construction site; an image acquisition unit 204 that acquires an image of the construction site from an imaging instrument installed at the construction site; a data acquisition unit 205 that acquires orientation data of the imaging instrument and capture date-and-time data of the image; and a display control unit 206 that displays the simulation site model and the image on a display instrument on the basis of the acquired orientation data and capture date-and-time data.SELECTED DRAWING: Figure 2A

The invention discloses a site differentiation earthquake response analysis method and system based on earthquake motion types, and belongs to the technical field of building earthquake-proof engineering, and the method comprises the steps: dividing a target site into three types of sites according to the obtained drilling information of the target site, and constructing a site model corresponding to each type of site; respectively calculating dynamic response results of each site model under the near-field pulse type seismic motion and the near-field non-pulse type seismic motion by adopting a time domain nonlinear analysis method; generating two groups of surface response spectrum amplification coefficients according to the dynamic response result of each site model, and comparing peak values with periods; and according to a comparison result of the peak value and the period, combining each site model to obtain a differential earthquake response analysis result. According to the method, the significant amplification effect of pulse type seismic oscillation on a soft soil site and the significant amplification effect of non-pulse type seismic oscillation on a medium-hard soil site are effectively revealed, and the problem that the difference of seismic oscillation types is not fully considered in existing analysis is solved.

To provide a construction management method capable of grasping a progress state of construction of a building.SOLUTION: A method includes three-dimensionally modeling terrains and buildings on the basis of surveying data of a construction site, surrounding terrains, and surrounding buildings, creating three-dimensional model data of the entire construction site on the basis of the three-dimensional models, acquiring construction plan data for construction performed at the construction site, generating a simulation site model on the basis of the construction plan data, the three-dimensional model data, and three-dimensional models of construction machines used at the construction site, acquiring appearance data representing an actual appearance of the construction site from a measuring instrument that measures the actual appearance of the construction site, displaying the simulation site model and the appearance data on a predetermined display device, displaying a difference by comparing the appearance data with the simulation site model, accepting a change of a work process corresponding to the difference, and generating a re-simulation site model in consideration of the change of the work process.SELECTED DRAWING: Figure 10A

The blast modeling system may generate a site model based on blast input data. The blast input data may include blast hole data, bench information, and geological input data. The site model may include a plurality of individual elements representing rock masses. The blast modeling system may simulate a blast by determining an initial pressure in each blast hole caused by the detonation of explosives. The blast modeling system may determine a heave of the blast based in part on the initial pressure and display a simulation based in part on the heave.

The present application relates to the technical field of equipment civil foundation construction, and particularly relates to a device foundation bolt pre-embedding method based on BIM and GIS technology, actual data information of construction site topography and geomorphology generated by GIS technology is downloaded, and a model of construction content is established by using BIM technology; after fitting and rectifying the site model exported by the GIS system and the BIM model by means of Navisworks software, the GIS system is used to convert the coordinate information into the GIS positioning robot positioning system; the fixed anchor frame is used to fix the pre-embedded bolt, and the GIS positioning robot is used for positioning and installation; after the GIS positioning robot is positioned and installed, the grouting system is used for grouting, the fixed anchor frame is removed after grouting is completed, and the setting of the pre-embedded foundation bolt is completed. The present application greatly increases the installation and setting precision of the pre-embedded foundation bolt, reduces the construction cost and the rework rate, and shortens the construction period.

Processes and systems for identifying and mitigating threats to critical assets leverage interactive 3D modeling systems, such as gaming engines, to generate customized interactive 3D critical asset site models that provide interactive visual displays of multiple potential threats, multiple potential mitigation measures, and the effectiveness of the each of the potential threat mitigation features with respect to protecting existing and future critical assets and / or critical asset sites.

The invention discloses a BIM (Building Information Modeling)-based hyperbolic reversed beam roof facility design, plotting and quantity calculation method, which comprises the following steps of: 1, arranging basic conditions of a site into a site BIM model as a basis for parameterization analysis and design; 2, on the basis of the site BIM model, a piecewise linear regression method is adopted to compile a GH battery pack, the periodic change of the longitudinal gradient, namely the longitudinal piecewise gradient i, of a reversed beam is simplified, and available data is calculated for automatically generating a design scheme; 3, compiling a GH battery pack based on the piecewise linear model, wherein the GH battery pack is used for generating a facility planting scheme of the self-adaptive hyperbolic roof; 4, a CAD drawing is exported and used for guiding on-site construction; and 5, based on a battery pack modeling result, compiling the volume of the consumed planting box material under the battery pack direct calculation generation scheme. The invention relates to the technical field of constructional engineering, and can solve the problems that a traditional facility planting scheme design method is complicated, low in efficiency, prone to errors and inconvenient to check.

The application discloses a GNSS thermal-elastic deformation estimation method based on a layered full-spectrum finite element model, which constructs a thermal-elastic coupling finite element model of a multi-layer medium of "shallow soil-deep bedrock", uses reanalysis soil temperature data with a resolution of 6 hours as temperature forcing, carries out site modeling in combination with site layered parameters (such as thermal / mechanical parameters and thickness of soil and bedrock), and adopts multi-UTC time solving and vector averaging to inhibit time sequence bias caused by fixed UTC sampling; in numerical solving, diurnal, seasonal to interannual full-band thermal-elastic responses are solved by explicit analysis, and the vertical displacement estimation sequence of the GNSS site and the correction field are output, so that the method is used for non-structure signal separation and precision improvement of the GNSS coordinate time sequence, and has global promotion and engineering application feasibility.

The embodiment of the invention discloses an intelligent planning method and device for an overcharge station, computer equipment and a storage medium. The method comprises the steps of obtaining a target site model, project demand data and project constraint data; calling a conventional parking space layout algorithm in the algorithm agent through the planning agent to obtain a conventional parking space layout scheme; calling an over-charging parking space arrangement algorithm in the algorithm agent to obtain a complete parking space arrangement scheme; calling a module equipment arrangement algorithm in the algorithm agent to obtain an overall layout scheme; calling a power checking algorithm in the algorithm agent to determine a target layout scheme; calling a cost estimation algorithm in the algorithm agent to obtain an evaluation cost; and if the evaluation cost is less than or equal to the cost constraint data in the project constraint data, outputting a planning result corresponding to the target layout scheme through the summarizing agent. By implementing the method provided by the embodiment of the invention, the planning efficiency of the overcharge station can be improved.

This invention discloses an intelligent layout system for the installation of exterior wall composite panels, relating to the field of intelligent construction technology. It collects building facade information to generate a structured digital twin model of the building site; matches the site model with historical construction digital twin models based on feature fingerprint similarity, extracting an initial intelligent layout model from the graph neural network architecture of the matching cases; analyzes the differences between the site model and the historical models and encodes them as adjustment instructions for the model input graph structure; performs transfer learning on the initial model, focusing on optimizing the difference areas, to obtain an optimized intelligent layout model; acquires site environmental data, combines it with a built-in physical and process knowledge base, drives the optimized model to generate multiple candidate schemes and perform construction feasibility simulations, outputting multi-dimensional construction scores for each scheme; compares the multi-dimensional construction scores and outputs the optimal layout scheme, solving the problems of traditional layout methods being unable to handle complex structures, ignoring environmental factors, and lacking reusable experience.

A method for determining a safety zone includes receiving work site data, receiving material characteristic data corresponding to the points of the site represented by the work site data, and determining an actual site model. The method further includes determining a desired site model representing the site at a future time, comparing the actual site model to the desired site model to determine a difference model that includes a safety zone in which a machine speed, a machine type, or a quantity of machines, is limited or prohibited, the safety zone being determined based on a material characteristic associated with material that corresponds to the safety zone, the material characteristic being represented in the material characteristic data, one or more areas outside of the safety zone having a different material characteristic, and determining a work plan based on the difference model, the work plan including the safety zone.

To provide methods, systems and apparatuses for designing a blast plan.SOLUTION: A blast modeling system may generate a site model based on blast input data. The blast input data may include blasthole data, bench information, and geology input data. The site model may comprise a plurality of distinct elements representing rock masses. Each element may have a geometric outline formed by connecting endpoints of one or more lines such that the endpoints of the one or more lines are indirectly coupled via arcs. The blast modeling system may simulate a blast using the plurality of elements.SELECTED DRAWING: Figure 1

The present application relates to the technical field of new energy facility intelligent management, and particularly relates to a rural light storage and charging station intelligent management method and system combined with point cloud data. The method comprises the following steps: obtaining point cloud data of a temporarily deployed site; performing point cloud site modeling according to the point cloud data to obtain a point cloud site model; performing point cloud site feature extraction according to the point cloud site model to obtain point cloud site feature data; performing deployment optimization area calculation according to the point cloud site feature data to obtain deployment optimization area data; and performing intelligent placement simulation according to the deployment optimization area data to obtain intelligent placement data. The present application combines point cloud space perception and AI intelligent optimization to provide an efficient deployment management method, thereby improving the construction and operation quality of rural light storage and charging stations.

The invention relates to the technical field of earthquake engineering, in particular to an earthquake vibration model construction and evaluation method based on big data. Comprising a hardware and rule component and a platform architecture component (a relational / non-relational database, a data warehouse, a metadata center, an association rule / clustering algorithm module, an LSTM / GRU earthquake risk prediction model, a resource scheduling model and a scientific research / emergency / public differentiation application function module), the model construction assembly comprises a finite difference / finite element multi-scale site model, a building group / power transmission tower structure-site coupling sub-model, a seismology-deep learning mixed training framework and a model parameter staged correction module.

The invention discloses a high-precision seismic fluctuation input method and device for SSI analysis of a layered stepped site, and the method comprises the steps: building a two-dimensional stepped layered site model, and introducing a Y-shaped artificial boundary to divide the two-dimensional stepped layered site model into a central finite field, a left half infinite field and a right half infinite field; applying a zigzag-paraxial combined boundary on the Y-shaped artificial boundary to simulate the radiation damping effect of the left half infinite domain and the right half infinite domain; respectively solving the seismic response of the one-dimensional horizontal layering field models of the left half infinite domain and the right half infinite domain, and obtaining the free field response of the left boundary and the right boundary of the Y shape through time delay calculation; respectively decomposing respective total field responses into scattered field responses and free field responses, calculating respective infinite domain equivalent node forces and free field node forces according to the scattered field responses and the free field responses, superposing the infinite domain equivalent node forces and the free field node forces to form two groups of final equivalent node force vectors, and respectively applying the two groups of equivalent node force vectors to the left boundary and the right boundary to obtain a final equivalent node force vector. And high-precision input of far-field vibration in layered stepped field SSI analysis is realized.

The invention relates to the technical field of data processing, and relates to a BIM technology-based field model construction method, which comprises the steps of obtaining at least two images and at least three feature points, and dividing each image into a construction region and a non-construction region; determining a target local geometric structure by using the at least three feature points, determining a credibility weight of a scene structure, and further determining actual measurement coordinates of the target feature points; determining a correction weight of a target feature point in the target construction area by using the actually measured coordinates and a construction completion coefficient of the target construction area, and correcting the BIM design coordinates; determining a deviation correction value of the non-construction area of the target by using the actually measured coordinates, the original BIM design coordinates and the foundation treatment quality coefficient; and correcting the initial BIM model by using the corrected BIM design coordinates and the deviation correction value, and performing site construction to obtain construction data. Deviation between a theoretical model and actual construction is effectively eliminated, model precision is improved, and construction errors are reduced.

The application relates to the technical field of contaminated site model construction, and particularly discloses a construction method and system of a contaminated site conceptual model, which integrates multi-source heterogeneous data of a contaminated site to construct an initial contaminated site conceptual model, describes the space-time coupling relationship of a pollution source, a migration path and a receptor in the form of a parameter matrix, then further decomposes the site prior information model parameter matrix into independent units, takes feedback information of stakeholders as a constraint condition, uses natural language processing technology and a semantic query algorithm, performs panoramic semantic scanning and query on the site prior information to identify key information gaps such as an exposure path not covered in the site prior information, and iteratively optimizes the contaminated site conceptual model. In this way, intelligent identification of key information gaps of the contaminated site conceptual model can be realized, dynamic adjustment and improvement of the conceptual model can be guided, and the conceptual model can be made more in line with actual conditions and the needs of stakeholders.

The application relates to the technical field of site design, and provides a crowd gathering and dispersing tendency simulation method and device.The method comprises the following steps: determining a site model of a public gathering place; the site model comprises a plurality of grid areas in the range of the public gathering place; determining site function attributes of each grid area in the site model; calculating the crowd gathering and dispersing tendency degree of each grid area based on the influence of the site function attributes on the crowd gathering and dispersing distribution; comprehensively processing the crowd gathering and dispersing tendency degrees of the grid areas to obtain a comprehensive crowd gathering and dispersing tendency degree of the public gathering place; and outputting and displaying the comprehensive crowd gathering and dispersing tendency degree.The application can consider the influence of all the site function attributes corresponding to the grid areas on the crowd gathering and dispersing distribution, thereby obtaining the comprehensive crowd gathering and dispersing tendency degree of the public gathering place under the corresponding site function attributes, effectively improving the simulation accuracy of the crowd gathering and dispersing tendency degree in the site, and effectively guiding the site design.

The invention belongs to the technical field of thermal power generating unit construction, and provides a construction quality management and control method and system during thermal power generating unit construction, and the method comprises the steps: obtaining a construction image in a key construction site during the thermal power generating unit construction, and constructing a three-dimensional site model corresponding to the key construction site; performing feature matching on a construction image corresponding to the same key construction site and the three-dimensional site model, and determining and marking an abnormal region in the key construction site to obtain a marked image; inputting the marked image and the three-dimensional site model into a pre-constructed quality evaluation model to obtain a quality evaluation value of the key construction site; and according to the quality evaluation value, generating and pushing management and control suggestion information of the key construction site to the target supervision terminal. According to the scheme, timeliness and accuracy of joint control are improved, construction safety can be guaranteed to the maximum extent, and then construction quality and construction efficiency can be improved.

Processes and systems for identifying and mitigating threats to existing critical assets leverage interactive 3D modeling systems, such as gaming engines, to generate customized interactive 3D critical asset site models that provide interactive visual displays of multiple potential threats, multiple potential mitigation measures, and the effectiveness of the each of the potential threat mitigation features with respect to protecting existing and future critical assets and / or critical asset sites.

The invention belongs to the technical field of seismic engineering, and relates to a seismic magnitude calibration method based on a seismic source dynamics mechanism, which comprises the following steps: determining seismic source parameters in a target area, and establishing a dynamic seismic source model according to seismic fault information in the target area; obtaining a digital elevation model (DEM) of a target area, processing DEM data, establishing a three-dimensional site model of the target area, and obtaining geological parameters; and determining a friction constitutive relationship, carrying out high-precision seismic oscillation simulation by adopting a spectral element method on the premise of not changing geometric factors of the model, obtaining seismic oscillation characteristics, determining a proportional coefficient value corresponding to a current fault, and then carrying out magnitude calibration work. Compared with the prior art, the method has the beneficial effects that the calculation efficiency is high, the modeling method is simple, the effectiveness of the calculation result can be improved, and the earthquake magnitude calibration precision can be improved, so that a more reliable scientific basis is provided for disaster prevention and reduction design of regional infrastructures.

The application discloses a risk assessment method and system based on a Bayesian network and evidence theory, relates to the technical field of intelligent risk assessment, and comprises the following steps: determining an evaluation dimension and evaluation index of a high-investment low-yield risk in MOOC learning of an educational institution according to a person-goods-site model and an industry report; constructing a MOOC learning risk assessment index system according to the evaluation dimension and the evaluation index; constructing a Bayesian network structure according to the MOOC learning risk assessment index system; obtaining questionnaire data and expert opinions according to the MOOC learning risk assessment index system, and determining Bayesian network parameters based on the questionnaire data and the expert opinions; inputting the Bayesian network parameters into the Bayesian network structure to obtain an evaluation result of the high-investment low-yield risk, wherein the evaluation result comprises a risk prediction result, a key risk factor and a sensitivity analysis result. The application can accurately evaluate the high-investment low-yield risk in MOOC learning.