30 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.

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 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.

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.

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 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.

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.

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.

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 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.

Process for locating emission detecting camera(s) at a worksite. The process can include creating a site model, completing a camera coverage calculation loop that can include choosing a first camera location from the site model, and completing a source calculation loop to provide a plurality of coverage values of the first camera location for a plurality of potential emission sources in the site model. The process can also include calculating a coverage ratio from the plurality of coverage values to provide a first coverage ratio. The process can also include repeating the camera coverage calculation loop for an additional potential camera location from the site model to provide a plurality of coverage ratios. The process can also include creating an ordered list of the potential camera locations based on the coverage ratios. The process can also include choosing a camera position at the worksite from the ordered list.

Disclosed by the present disclosure is a method for obtaining key parameters for pollutant transportations under coupling effects of temperature and hydrodynamics based on a site scale. The method is to obtain the permeability parameters, thermal conductivity, and dispersion coefficient of the contaminated sites based on multi field coupling numerical simulations of hydrodynamic field-temperature field-concentration field. The transportation parameters for pollutants on the site are key indicators for the investigations and treatments of organic pollution on the site. The method as illustrated in the present disclosure includes establishing a water-thermal-salt coupling model for organic contaminated sites according to site drilling data and site physical test results in the early stage, performing multiple field coupling numerical inversion according to the site model in combination with multi-party data, adjusting the model parameters through manual trial and error method to improve model accuracy and obtaining the optimal model.

The invention provides a method and a system for automatically generating a pre-construction stage model of a zero-carbon factory, and relates to the technical field of crossing of new energy and intelligent construction, and the method comprises the steps: obtaining component parameters according to the construction requirements of the zero-carbon factory, constructing a family model, and forming a component library; the method comprises the following steps: distinguishing each layer in a CAD drawing, importing Revit software, starting a Dynamo plug-in, calling a linkDWG node package, and reading drawing parameters; compiling a site model node script, determining each node and type, and associating to form a closed path; inputting site design data, and running a script to generate a site model; compiling a building Dynamo script, determining nodes and types in the script, associating the nodes and types into a closed path, and associating the nodes with the site model; and building design data are input, a building Dynamo script is operated to generate a BIM-based building model, and a component detail table is exported, so that the building design efficiency is improved, and the prefabrication assembly information error rate and the economic benefit loss are reduced.

The invention relates to a site parametric modeling method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: acquiring site modeling parameters corresponding to an initial plane model of a target site, wherein the site modeling parameters are determined according to the form of the initial plane model; generating a form change curve of the initial plane model based on the site modeling parameters and a preset curve generation tool; segmenting the initial plane model based on the morphological change curve to obtain a plurality of sub-site models; and performing grouping processing on the sub-site models through a preset grouping strategy to obtain a target site modeling model corresponding to the target site. By adopting the method, the field modeling efficiency can be improved.

The invention discloses a GNSS (Global Navigation Satellite System) thermoelastic deformation estimation method based on a layered full-spectrum finite element model, which comprises the following steps of: constructing a'shallow soil-deep bedrock 'multilayer medium thermoelastic coupling finite element model, and taking 6-hour resolution reanalysis soil temperature data as temperature forcing; site modeling is carried out in combination with site stratification parameters (such as thermal / mechanical parameters and thicknesses of soil and bedrock), and multi-UTC time solution and vector averaging are adopted to inhibit time sequence bias caused by fixed UTC sampling; according to the method, the full-band thermoelastic response of day and night, seasons to the internals and the like is explicitly analyzed in numerical solution, and a vertical displacement estimation sequence and a correction field of a GNSS station are output, so that the method is used for non-structural signal separation and precision improvement of a GNSS coordinate time sequence, and the method has global popularization and engineering application feasibility.

The application discloses a parameterized power transmission line tension field site arrangement simulation method and equipment, combines an interpolation method and a shape finding analysis method to perform structural characterization on extracted nodes, and performs parameterized modeling according to the characterized structure, and further obtains a tension field site model, the tension field site model accurately feeds back the shape of the tension field, and meanwhile, accurately feeds back the interaction relationship between each machine and each structure, provides an accurate, stable and consistent tension field site model with a construction site for subsequent tension field site simulation; arrangement simulation parameters after construction verification are input into a tension field site migration model again for cyclic processing until optimal arrangement simulation parameters are generated, the optimal arrangement simulation parameters are used as optimal tension field site construction parameters and are subjected to construction, and the problems that local engineering calculation is performed on the parameters by means of manual work, the calculation result is not standardized, and meanwhile, the positions of dangerous points in the tension field site arrangement cannot be accurately estimated are solved.

The invention relates to the technical field of intelligent construction site management, and discloses a BIM-based intelligent construction site model fusion intelligent management method and system, and the method comprises the steps: carrying out the local feature matching of point cloud data and a BIM model, calculating a matching confidence coefficient, and recording a low confidence coefficient alignment event when the matching confidence coefficient is lower than a preset threshold value; analyzing a deviation vector of a continuous event and a point cloud acquisition path, and when a systematic accumulated deviation trend is detected, predicting a predicted total space deviation value of the tail end of the region; distributing semantic risk weights for different regions / components; and calculating a technical risk factor in combination with the confidence coefficient and the predicted deviation value, performing cross evaluation on the technical risk factor and the semantic risk weight, calculating a comprehensive risk level, and when the comprehensive risk level reaches or exceeds a preset fusing threshold, triggering an alarm and pausing a related downstream construction plan. According to the method, the technical deviation and the engineering semantics are combined for risk assessment, and linkage control with the construction plan is realized.

The application belongs to the technical field of power system construction and mechanized construction technology, and specifically relates to a power transmission mechanized construction simulation analysis method based on GIM and related products, which comprises the following steps: collecting GIM model data, satellite image data and laser radar data of a construction area; collecting equipment parameter data of construction engineering machinery; combining the GIM model data, satellite image data and laser radar data to construct a construction site model; constructing a mechanical equipment model according to the equipment parameter data; determining path planning and equipment scheduling through the construction site model and the mechanical equipment model, and loading them to a simulation platform to simulate the construction process; through three-dimensional visualization and simulation analysis of the construction site, construction managers can intuitively understand the construction progress and potential risks and make timely adjustment decisions. At the same time, automatic data analysis and optimization suggestions reduce manual intervention, improve the accuracy and reliability of the analysis.

This application discloses an intelligent planning method, apparatus, computer equipment, and storage medium for supercharging stations. The method includes: acquiring a target site model, project requirement data, and project constraint data; obtaining a conventional parking space layout scheme by calling a conventional parking space layout algorithm within an algorithmic intelligent agent; obtaining a complete parking space layout scheme by calling a supercharging parking space layout algorithm within the algorithmic intelligent agent; obtaining an overall layout scheme by calling a modular equipment layout algorithm within the algorithmic intelligent agent; determining a target layout scheme by calling a power verification algorithm within the algorithmic intelligent agent; obtaining an evaluated cost by calling a cost estimation algorithm within the algorithmic intelligent agent; and if the evaluated cost is less than or equal to the cost constraint data in the project constraint data, then the planning result corresponding to the target layout scheme is output by summarizing the data from the intelligent agent. Implementing the method of this application can improve the planning efficiency of supercharging stations.

A method for determining a safety zone (310, 312, 314, 316, 318, 320, 322, 334, 336, 338) includes receiving work site data, receiving material characteristic data (116, 118) corresponding to the points of the site (36) represented, by the work site data, and determining an actual site model (112). The method further includes determining a desired site model (114) representing the site (36) at a future time, comparing the actual site model (112) to the desired site model (114) to determine a difference model that includes a. safety zone (310, 312, 314, 316, 318, 320, 322, 334, 336, 338) in which a machine speed, a machine type, or a quantity of machines (12, 14, 16, 18, 20, 22, 24), is limited or prohibited, the safety zone (310, 312, 314, 316, 318, 320, 322, 334, 336, 338) 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 (310, 312, 314, 316, 318, 320, 322, 334, 336, 338) having a different material characteristic, and determining a work plan based on the difference model, the work plan including the safety zone (310, 312, 314, 316, 318, 320, 322, 334, 336, 338).

The invention provides a fabricated building construction site arrangement method based on a generative adversarial network, and relates to the technical field of building construction site arrangement. Historical construction site arrangement drawings are collected to form an initial data set, a genetic algorithm is adopted to carry out iterative optimization on the initial data set to generate a training data set, and a generative adversarial network is trained based on the training data set; acquiring a site constraint condition of a current project and a bounding box, coordinates and categories of a fixed facility, converting the site constraint condition and the bounding box, coordinates and categories into binary mask representation, inputting the binary mask representation into the trained generative adversarial network, and outputting optimized layout data; and extracting coordinates, bounding boxes and categories of all facilities in the optimized layout data, and carrying out modeling registration based on the initial site model to generate a construction site layout model. The technical problems that an existing construction site arrangement method depends on artificial experience, lacks data support and is low in automation degree can be solved.

The application discloses an industrial data acquisition system based on VPDN multi-user multiplexing and traffic saving, comprising a communication access module, a point site model module, a name mapping module, a user structure module, an acquisition scheduling module, a data processing module, an encryption uploading module, a decryption restoration module and a user initialization module.

The present application relates to the technical field of dynamic monitoring, and more particularly to a dynamic monitoring method based on slope vegetation disturbance in a hydropower engineering construction area, comprising: scanning a to-be-monitored slope, establishing a slope site model, and dividing the slope site model into a plurality of equal-volume standard units; dividing the area corresponding to each to-be-monitored vegetation to form a slope unit corresponding to the to-be-monitored vegetation; standardizing the slope model by modeling the slope and dividing the slope into a plurality of standard units, incorporating the to-be-monitored vegetation into a slope unit by using the standardized model, and confirming the disturbance of the slope model according to the construction action; by using the above method, the slope model and the actual scene can be quantitatively analyzed, and the area that will be affected by the vegetation can be marked, thereby effectively improving the accuracy of the slope vegetation affected by the construction state while effectively improving the pertinence of monitoring the slope vegetation affected by the construction state.

The invention provides a mine vehicle testing method and device and electronic equipment, and relates to the technical field of mine vehicle site testing. The method comprises the following steps: acquiring test site demand data, a vehicle model and business process data of a mining vehicle; the test site demand data is related to a mining area road condition test demand and a functional area test demand; constructing a three-dimensional site model according to the test site demand data; constructing a corresponding digital twin platform according to the three-dimensional site model, the vehicle model and the business process data; obtaining test related data corresponding to the target test; the target test is a test performed by the mining vehicle based on an actual test site according to a target test condition; the actual test site is built based on the three-dimensional site model; and generating a corresponding test result based on the test related data and the digital twin platform. According to the method, the test effect and accuracy of the mine vehicle test are improved.

Processes and systems for identifying and mitigating threats to proposed 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.