745 results about "Process simulation" patented technology

The invention discloses a concrete mixing plant automatic control system based on intelligence, and belongs to the technical field of automatic control. Comprising a multi-modal sensing data acquisition module, an intelligent batching optimization module, a digital twin simulation module, a self-adaptive energy consumption management module, a fault self-diagnosis and predictive maintenance module, a dynamic quality tracing module and a multi-target collaborative scheduling module. Real-time synchronization of sensor data and a virtual model is realized in combination with an edge computing technology, dynamic and visual technical support is provided for full-flow simulation of the concrete mixing plant, and complex working conditions in production are reflected more truly; the system predicts a potential problem through a machine learning algorithm, triggers an early warning signal based on a multi-dimensional threshold rule, and generates a preventive maintenance plan in advance; the digital twin platform supports AR and VR interaction interfaces, so that an operator can visually observe the operation states of a virtual model and actual equipment.

The invention relates to the technical field of river channel desilting treatment, in particular to a dynamic simulation and optimization decision-making-based river channel silt treatment method, which comprises the following steps of: acquiring and treating historical and real-time multi-dimensional environmental data of a to-be-treated river channel and an influence area of the to-be-treated river channel; a river basin process simulation system capable of simulating river water power, sediment transportation, pollutant migration and transformation and ecological response processes is constructed, decision variables forming a river regulation scheme are defined in a parameterized mode, a multi-target optimization problem is defined and set in a formalized mode, a multi-target optimization engine is adopted, and the river regulation scheme is optimized. The method comprises the following steps: embedding a drainage basin process simulation system as a core evaluation module into an optimization iterative loop, implementing an optimization scheme, and continuously monitoring the environmental state change in the implementation process and after the implementation; the method can accurately predict the long-term and short-term influence of different treatment schemes in multiple aspects of hydrodynamic force, silt, pollutant migration and transformation, ecological response and the like, and solves the problem of comprehensive treatment of sludge.

The invention discloses a BIM-based process simulation and consultation service support system and method, and relates to the technical field of three-dimensional modeling and visualization. The system comprises a BIM holographic data acquisition module, a process logic intelligent deconstruction module, a dynamic process simulation engine module, a physical field real-time monitoring module, an expert knowledge decision module and a visual scheme generation module. And multi-dimensional deviation early warning thresholds are set for different construction stages, the accuracy of conflict detection of various processes is ensured, meanwhile, environment illumination parameters collected by a sensor are linked with a BIM rendering engine in real time, the problem of light and shadow distortion in a digital twinning scene can be dynamically corrected, material texture misjudgment caused by illumination color temperature deviation is avoided, and the working efficiency of the digital twinning scene is improved. The accuracy of process conflict early warning is improved, and the construction safety risk and the resource scheduling error are reduced.

The invention discloses a port container transportation full-process simulation and space planning quantification system and method under random event deduction. The system comprises a data acquisition module, a data processing module, a process simulation module, an efficiency quantification index generation module and an efficiency quantification module. The data acquisition module is used for acquiring basic data in port operation; the data processing module is used for processing the basic data; the process simulation module is used for constructing port container transportation process simulation covering the whole process of ship navigation, ship berthing, quay crane loading and unloading, storage yard storage and container truck outward transportation based on the processed basic data, and obtaining a simulation result; the efficiency quantitative index generation module is used for obtaining an efficiency quantitative index according to the container transportation characteristics and the port operation experience; and the efficiency quantification module is used for quantifying the simulation result by utilizing the efficiency quantification index. According to the invention, the current operation efficiency level of the port can be measured comprehensively and objectively.

The invention discloses a process intelligent simulation method and system based on rational number fusion, and belongs to the technical field of high-end equipment manufacturing and artificial intelligence. The method comprises the following steps of: constructing a fusion database used for storing a mapping relationship between process parameters and organization characteristics by taking a mathematical model fusion normal form as a core, taking the mathematical model data as theoretical model data and taking the mathematical model data as industrial field data; constructing a multi-scale AI simulation agent model corrected by the industrial field data, and constructing an intelligent prediction model used for representing an association relationship between organization characteristics and service performance; and finally, receiving a target performance index, carrying out global optimization under double constraints of a physical boundary of a theory and a simulation environment which is corrected by a number by utilizing an AI reverse design engine, and carrying out reverse solution to obtain an optimal process parameter. Through a two-way closed-loop mechanism of a theoretic constraint number and a number correction theoretic, the fundamental problems of distortion of a theoretical model caused by a scale effect and lack of physical constraint with an AI model are solved.

The invention provides an SMT patch correction system linked with AOI and a method thereof. The SMT patch correction system comprises a stokehole AOI detection module, a stokehole AOI detection module, a multi-dimensional sensing module, an intelligent data center module, an AI decision optimization module and a process simulation verification module. According to the method, the AOI detection data in front of and behind the furnace are fused through the intelligent data center module, the mapping relation of knowledge graph associated elements, the technology and offset data is constructed, a linkage closed loop is formed, and offset source tracing and full-process dynamic deviation correction are achieved; environmental parameters such as temperature, vibration and suction nozzle pressure are collected in real time through the multi-dimensional sensing module, and the environmental parameters are standardized through an intelligent data platform and then are included into correction logic of the AI decision optimization module, so that dynamic compensation of the influence of environmental factors on the mounting precision is realized; a deep learning and reinforcement learning cooperation strategy is adopted through the AI decision optimization module, parameters are dynamically optimized and corrected in combination with thermal deformation simulation and other multi-source information of the process simulation verification module, and the adaptability to different element types and production scenes is improved.

The invention provides a deep rock mass creep-seepage coupled near-field dynamics simulation method and system, and relates to the technical field of geotechnical engineering.The method comprises the steps that a near-field dynamics numerical calculation model is established based on geological survey data; based on the Burgers creep constitutive model, a near-field dynamic creep-seepage coupling basic motion equation is formed; and carrying out rock mass creep process simulation considering the seepage effect by utilizing the near-field dynamics numerical calculation model and the creep-seepage coupling basic motion equation, and carrying out iterative solution on stress, strain, displacement, water pressure and damage of each time step in the simulation process until iteration stop conditions are met, so as to obtain the rock mass creep process. And finally, obtaining distribution characteristics of a rock mass displacement field, a damage field and a seepage field and a creep characteristic curve, and realizing near-field dynamic simulation of a rock mass creep-seepage coupling process. According to the method, the technical blank of near-field dynamics in the field is filled, and the long-term stability of the engineering rock mass and the disaster evolution process are accurately reproduced and predicted.

The invention belongs to the technical field of petrochemical process simulation and intelligent optimization control, and particularly relates to a method for constructing and optimizing a full-fraction oil catalytic cracking reaction kinetic model. The construction method comprises the steps of raw material matrix construction, reaction network construction, product property calculation, model parameter optimization and process prediction calculation. The optimization method comprises the following steps: constructing a process optimization index system comprehensively reflecting environmental and economic targets; systematic optimization of reaction conditions and product distribution is realized; intelligent regulation and efficient prediction of the catalytic cracking process are realized; and optimal reaction operation conditions meeting multiple requirements are obtained. The method is high in adaptability, process parameters can be adjusted according to the properties of the raw materials, and efficient conversion is achieved. By optimizing the catalytic cracking process, the yield of aromatic hydrocarbon can be remarkably improved. By predicting and optimizing reaction conditions through the kinetic model, the energy consumption is reduced, the reaction efficiency is improved, meanwhile, the equipment investment and operation cost can be reduced, and the production efficiency and economic benefits are improved.

The invention discloses a landslide construction simulation method based on finite elements, particularly relates to the field of construction simulation, and realizes whole-process dynamic simulation through GTS-NX software. Firstly, a three-dimensional finite element model is established based on geological exploration data, a Mohr-Coulomb elastic-plastic constitutive model is adopted, and the bulk modulus and the shear modulus are calculated through the elastic modulus and the Poisson's ratio. The initial ground stress is simulated by adopting a self-weight stress field method, and the initial displacement influence is eliminated by adopting a displacement difference method. In construction process simulation, the unit passivation / activation technology is adopted to accurately reproduce the excavation and support time sequence, and cyclic calculation of excavation-stress release-support-balance is achieved. In nonlinear analysis, superposition of an elastic stress field and a plastic stress field is considered, and an unloading influence factor is introduced to correct anisotropy of a deformation modulus. A safety coefficient is calculated through a strength reduction method, a multi-working-condition evaluation system is established, a monitoring data fusion and parameter inversion mechanism is developed, and a three-level early warning system is formed.

The invention relates to the technical field of exchange decision making, and discloses a multi-objective optimized capacitor bank intelligent exchange decision making system, which comprises a data acquisition and twin synchronization module, a strategy generation module, a risk preview module, an optimization decision making module and a calibration updating module, and is characterized in that real-time state sensing is realized through the data acquisition and twin synchronization module; the strategy generation module formulates a low-oscillation risk exchange strategy, the risk rehearsal module verifies the safety of the strategy, the optimization decision module screens an optimal scheme, and the calibration update module ensures the accuracy of the digital twin and the continuous optimization of the system. By dynamically adjusting the simulation step size and a real-time oscillation detection mechanism, high-frequency numerical oscillation introduced by the power electronic equipment is effectively suppressed, the accuracy of transient process simulation is remarkably improved by combining the regularized admittance matrix and multi-time scale coupling simulation, the recognition capability of a safety verification system on operation risks is ensured, and the safety verification system has a wide application prospect. And mistaken release of a high-risk strategy is avoided.

The invention provides a BIM model-based curtain wall installation process simulation method and system, and the method comprises the steps: firstly obtaining a BIM model set comprising a building main structure model, a curtain wall component model and an installation auxiliary facility model, and then carrying out the element association processing of the BIM model set, and obtaining an associated BIM integration model, and generating a curtain wall installation process network based on the integrated model, determining an installation sequence, auxiliary facility types and spatial constraint conditions, performing dynamic installation process simulation according to the curtain wall installation process network, and generating an installation simulation report containing a spatial interference detection result and a process time connection record. And finally, iteratively adjusting the process network according to the installation simulation report to obtain an optimized curtain wall installation process scheme to guide actual construction, so that the quality, efficiency and safety of curtain wall installation can be improved.

The present invention relates to the technical field of steel metallurgy process simulation, and specifically relates to a simulation method for particle motion and interaction behavior within a continuous casting mold. The simulation method comprises the following steps: acquiring mold parameters and establishing a model; performing fluid domain volume extraction and structured mesh division on the model; importing the mesh model into simulation software and performing iterative solution; establishing injection points for argon bubbles and inclusions within the mold, compiling and calculating the flotation removal of argon bubbles and inclusions at a steel-slag interface, the capture thereof at a solidification front, and collision-aggregation, and performing coupled computation; and post-processing the simulation results to obtain the flow field, temperature field, solidified-shell distribution, and discrete-phase motion behavior within the mold at different time points. The method of the present invention enables analysis of the motion and interactions of discrete-phase particles such as argon bubbles and inclusions within the mold, thereby accurately predicting the distribution of the particles in the molten steel and the solidified shell.

The invention discloses a method for determining the suitable development area of a large-scale drip irrigation farmland in an underground water shallow-buried area, and the method comprises the following steps: coupling an MODFLOW model and an SWNCM-2D model based on programming software, and developing a coupling model suitable for water and salt migration and crop growth simulation of a saturated zone and an unsaturated zone of the large-scale drip irrigation farmland in the underground water shallow-buried area; according to lysimeter underground water burial depth control test data, calibrating and verifying key parameters of the coupling model, performing multi-scenario simulation of different underground water burial depths, and determining an appropriate underground water burial depth under a drip irrigation condition; setting scenes with different drip irrigation farmland area proportions, simulating by adopting a coupling model, and determining a suitable development area of the large-scale drip irrigation farmland in the underground water shallow buried area by taking a suitable underground water buried depth as a control standard; according to the scheme, through multi-model coupling, multi-process simulation and multi-scene analysis, technical support and quantitative basis are provided for development and field management of large-scale drip irrigation farmland.

The invention discloses an off-line virtual laboratory and digital intelligent application iteration method and system based on an intelligent agent. The method comprises the following steps: constructing an off-line virtual laboratory consistent with a site in a non-production environment, and keeping the consistency of data and configuration through a synchronization mechanism; performing automatic scheduling on working condition arrangement, simulation deduction and rule checking by utilizing an intelligent agent; carrying out process deduction by adopting a mode of combining data driving and similar working condition retrieval, and completing index calculation and safety verification; and full-life-cycle management is carried out on the digital intelligent application, and cross-site rapid copying is realized through template packaging. According to the system, low-risk and high-efficiency iterative verification and popularization of digital intelligent application can be realized on the premise of not interfering field production, and the safety and engineering level of industrial intelligence landing are remarkably improved.

The invention relates to a shallow water dynamic process simulation method based on a local time step length, and the method comprises the steps: dividing a target region into a plurality of grids based on a shallow water dynamic process model, the target region comprising an ocean region and a land region adjacent to the ocean region; at least dividing the plurality of grids into a first grid set and a second grid set; determining a first time step length corresponding to the first grid set according to the first grid set; determining a second time step length corresponding to the second grid set according to the second grid set; determining a first simulation result of the shallow water dynamic process according to the first time step length and the second time step length; wherein the first grid set comprises a plurality of first grids, and the second grid set comprises a plurality of second grids; the first time step length is larger than the second time step length. The efficiency of the shallow water dynamic process simulation method is improved by respectively determining appropriate local time steps according to the precision requirements of different grid sets.

The invention discloses an irrigation water utilization coefficient evaluation method and system based on irrigation area water use whole process simulation, and relates to the technical field of agricultural water-saving irrigation. Irrigation water utilization information is obtained through multi-source data fusion; based on the irrigation water utilization information, constructing an irrigation area water utilization whole-process simulation model; the whole-process water consumption simulation model for the irrigated area comprises main canal water simulation, field canal water simulation and field crop water simulation; calculating a water delivery utilization coefficient, a water distribution utilization coefficient and a field water utilization coefficient by utilizing the irrigation area water utilization whole-process simulation model; and multiplying the obtained water delivery utilization coefficient, water distribution utilization coefficient and field water utilization coefficient to obtain an irrigation water utilization coefficient. The irrigation water utilization coefficient is accurately measured and calculated, the water utilization efficiency of crops is accurately evaluated, and fine management of water utilization in an irrigation area and water-saving benefit evaluation can be achieved.

The invention discloses a multi-point non-stationary non-Gaussian random process efficient simulation method based on a spectral representation method, and belongs to the technical field of random process simulation. Aiming at the problem of low efficiency of existing potential Gaussian random process power spectrum matrix solving and matrix decomposition, the method comprises the following steps: determining a power spectrum matrix and non-Gaussian features of a target process, establishing a transfer equation by using a Mehler formula, calculating time and frequency interpolation points based on the amplitude of the power spectrum matrix, and performing matrix decomposition and orthogonal decoupling at the interpolation points. And generating a potential Gaussian process sample through interpolation and fast Fourier transform, and finally converting to obtain a target process sample. According to the method, time-frequency domain resource allocation is optimized through a self-adaptive interpolation strategy, so that interpolation points are concentrated in an area with high energy, redundancy decomposition is avoided, and the calculation efficiency is remarkably improved on the premise of ensuring the simulation precision.

The invention provides a battery process simulation test method, which comprises the following steps of: S1, inputting battery model parameters required by a second-order equivalent circuit and an initial state of a battery for pre-processing to obtain a basic second-order equivalent circuit simulation model, and introducing a series of calibration parameters on the basis of the basic second-order equivalent circuit model to obtain a simulation result of the battery model; errors are dynamically corrected in the simulation calculation process, the problem that an original model is insufficient in precision in the aspects of SOC change rate, voltage response and the like is effectively solved, and the accuracy and reliability of simulation results are remarkably improved. Aiming at complex and diversified process requirements in a battery test scene, a process simulation function supporting multiple process steps and multi-condition logic is constructed, an actual test process can be truly restored, and powerful data support is provided for process debugging, test time prediction and electric energy consumption evaluation.

The invention relates to an underground engineering surrounding rock instability process simulation test system under a deflection stress field. The system comprises a base, a guide rail, a front cover frame, a rear cover frame, a servo loader, a loading frame, a loading plate, a hydraulic motor, a gear and the like. A plurality of hydraulic loading devices are arranged on the inner surface of a concentric-square-shaped loading frame in the test system, active loading in different directions is provided for a test model, and a chamber surrounding rock stress field is simulated. And a plurality of groups of loading devices are arranged along the inner surface of the loading frame to form a circular loading mechanism. The test model is a circular sample, the test model is driven by a motor to deflect through three surrounding hoops on the surface, the front cover frame and the rear cover frame are connected through a penetrating pull rod and a hydraulic nut, and front and rear face passive constraint is provided for the test model. The simulation test system can realize an underground engineering surrounding rock instability whole-process similar simulation test under stress deflection environment conditions such as different stress field intensities, different included angles between a stress main shaft and a chamber orientation, stress field stress main shaft static and dynamic deflection and the like.

The invention provides a manufacturing digital twin system, which is characterized in that a production process simulation module simulates different production scenes of a manufacturing process and production flow data under each production scene, and generates a simulation report; the workshop scheduling engine optimizes production task scheduling and resource allocation of a production workshop by using an operation planning optimization algorithm to generate a workshop task production scheduling scheme; obtaining a production scheduling result corresponding to the workshop task production scheduling scheme; a weekly production plan production scheduling module generates a weekly production plan according to the production scene provided by the production process simulation module and a production scheduling result corresponding to each workshop task production scheduling scheme; based on the enterprise resource state obtained in real time, dynamically adjusting the weekly production plan, and feeding back the dynamically adjusted weekly production plan to a production process simulation module and a workshop scheduling engine in real time, so that the production process simulation module performs simulation verification on the weekly production plan; and the workshop scheduling engine updates the workshop task production scheduling scheme according to the new weekly production plan.

The invention relates to a jet flow electrochemical deposition rate self-adaptive control method and system, and belongs to the technical field, and the method comprises the steps: carrying out the physical field model construction of collected data through a digital twinning technology, and constructing a jet flow electrochemical deposition rate self-adaptive control model based on deep learning and a physical model; therefore, optimized working parameters of the chemical additive manufacturing equipment are generated through the jet flow electrochemical deposition rate self-adaptive control model, a visualization system is constructed based on the collected data, and finally interaction control is conducted on the chemical additive manufacturing equipment through the visualization system. According to the method, a high-fidelity virtual model which synchronously runs with physical equipment is created, and before a complex spiral structure is printed, full-process simulation can be performed in a digital twinning body, which corners possibly have defects due to rate mismatch can be found in advance, and optimized manufacturing production parameters are generated; therefore, dynamic fine adjustment is carried out according to real-time current and image data, and closed-loop control is realized.

The invention relates to the technical field of engine thermal management, and particularly provides an active cooling method for coupling rotational flow cooling and regenerative cooling, which comprises the following steps: arranging a rectangular auxiliary inlet channel on the side wall of a rectangular main inlet channel of a regenerative cooling channel, and constructing a rotational flow regenerative cooling channel; when the rectangular main inlet channel performs regenerative cooling, coolant induced rotational flow is injected into the rectangular auxiliary inlet channel, and the rotational flow strength is regulated and controlled by adjusting the ratio of the flow of the coolant induced rotational flow to the total flow; and a cooling process simulation model is constructed, and the cooling effect of the rotational flow regeneration cooling channel is analyzed based on simulation calculation data. By means of the innovative rotational flow regeneration cooling channel design, controllable rotational flow is introduced into a traditional regeneration cooling channel, and the problems that a scramjet engine combustion chamber is insufficient in heat transfer in the extremely high-temperature environment and the fuel chemical heat sink utilization rate is low are solved. And fluid mixing is enhanced through rotational flow, a thermal boundary layer is destroyed, the fuel pyrolysis reaction is optimized, and efficient heat exchange is achieved.

The invention belongs to the technical field of central control platforms, and particularly relates to an intelligent monitoring and full-process simulation optimization system for an offshore oil platform central control system, which comprises the offshore oil platform central control system, and is characterized in that an intelligent monitoring platform and a full-process simulation optimization platform are arranged in the offshore oil platform central control system; an abnormal history and analysis module, a fault pre-judgment and optimization module and an unmanned inspection integrated module are arranged in the intelligent monitoring platform; a full-process simulation optimization module and an intelligent instrument ledger module are arranged in the full-process simulation optimization platform, the system further comprises an unmanned aerial vehicle and a cabin which are arranged in a high-risk area corresponding to the offshore oil platform, and the unmanned aerial vehicle and the cabin both adopt an anti-corrosion fuselage design. The system has a multi-level emergency response mechanism and an extreme working condition coping capability, adopts full-process simulation optimization, intelligent inspection and predictive maintenance, and has a multi-modal data fusion architecture and open platform expansion.

The invention relates to the technical field of oil and gas field development engineering, in particular to an unconventional oil and gas reservoir fracturing flexible material assisted sand carrying-sand control whole process numerical simulation method which comprises the following steps: 1) acquiring a basic parameter data set; 2) respectively establishing corresponding liquid phase-solid phase interaction force models for the proppant and the flexible material; and 3) establishing a numerical model according to the liquid phase-solid phase interaction force model of the proppant and the flexible material, and simulating the whole process of flexible material-proppant cluster conveying, laying and backflow. Through the numerical simulation method provided by the invention, the change conditions of the flexible material-proppant cluster laying form, such as a visual cloud picture, an effective laying area, a particle average flow velocity change curve, flow conductivity and fracture permeability, under different working condition parameters can be simulated; therefore, objective evaluation of the efficient laying effect and the flow conductivity of the fracturing propping agent assisted by the flexible material is realized, and suggestions are provided for site construction parameter optimization.

The invention discloses a flood storage and detention area flood diversion process simulation method and device based on a hydrodynamic model, and the method comprises the steps: obtaining the landform, river section, dike engineering parameters, and real-time hydrological and meteorological data of a flood storage and detention area, constructing a basic parameter library, and storing the basic parameter library in a data input module; constructing a hydrodynamic model calculation module by taking a hydrodynamic equation as a theoretical basis on the basis of the basic database, and combining a finite element volume method; receiving a numerical calculation result, analyzing real-time parameters through a dynamic simulation module so as to match actual hydrological parameters, and performing comparison under multiple scenes; and transmitting the hydrological parameters and the comparison data to a result output module, and outputting key parameters of the flood diversion process and a risk assessment result. The method has the advantages that high-frequency coupling of a hydrodynamic model, multi-source dynamic data, a cross-domain model and an engineering control system is achieved, and the problems of data lag, model isolation and control disjunction in traditional simulation are solved.

The invention discloses a stationary non-Gaussian random process simulation method, and relates to the field of random vibration numerical simulation, and the method comprises the following steps: obtaining an autocorrelation function through the conversion of a power spectrum density function of a target non-Gaussian random process, and obtaining an autocorrelation coefficient matrix of the target non-Gaussian random process through the autocorrelation function, the autocorrelation function in the step is obtained through Fourier transform calculation. According to the method, FMKL generalized lambda distribution and memory-free nonlinear transformation are combined, non-Gaussian characteristics of natural phenomena such as wind speed and seismic waves are accurately simulated, the defects of a traditional Gaussian model are overcome, and simulation precision and engineering design reliability are improved. By improving the Mehler formula and the spline interpolation method, the equivalent correlation coefficient calculation efficiency is improved, the calculation time is shortened, resource use is optimized, and the method is suitable for large-scale complex engineering structure simulation. The method has flexibility and is widely suitable for various non-Gaussian random process simulation requirements.

The invention provides a multi-protocol data interaction system, a data interaction method and a data interaction device. The system comprises a process simulation service and a field device, the process simulation service comprises a computing system and a middle layer system, the computing system is in communication connection with the middle layer system, and the computing system is used for computing control parameters of the field device and sending the control parameters to the middle layer system; the intermediate layer system comprises a plurality of protocol interfaces, is in communication connection with the field devices through the protocol interfaces, sends the control parameters to the corresponding field devices through the protocol interfaces, receives action information of the field devices through the protocol interfaces, and uploads the action information to the computing system; and the field equipment is used for receiving the control parameters, executing response actions according to the control parameters and feeding back action information to the intermediate layer system. The problem that in the prior art, data interaction with different field devices can be achieved only by developing multiple sets of communication systems, and consequently development cost and complexity are high is solved.

The invention provides a stay cable tensioning process simulation optimization design method and system based on finite element analysis, and the method comprises the steps: building a finite element model of a tower beam structure of a target cable-stayed bridge; the target cable-stayed bridge is a cable-stayed bridge constructed by a support method and provided with asymmetric leaning towers; based on the finite element model, stay cable tension process simulation of the tower beam structure under different jump tension sequences is carried out, and time-varying mechanical response of the tower beam consolidation system is obtained; and according to the time-varying mechanical response, the cable force effectiveness and the tower beam deformation continuity are taken as targets, a tension sequence is optimized through a multi-point coincidence approximation strategy, and simulation design of automatic iterative optimization is carried out. According to the stay cable tensioning process simulation optimization design method and system based on finite element analysis, the optimal jump tension sequence is solved in the simulation model, the evolution amplitude of the stress behavior of the tower beam in the stay cable tensioning bridge forming process is reduced, the evolution smoothness of the stress behavior is improved, and the phenomena of hard sudden change, discontinuity and even internal damage are prevented.

The invention relates to the technical field of computers, discloses a production command case-oriented interactive deduction method and system, and aims to solve the problems of static solidification of deduction cases, low degree of freedom of interaction, disjunction with real-time production data and low case construction efficiency in the prior art. The method comprises the following steps: constructing a digital twinborn model synchronized with a physical environment in real time; receiving an event injection or parameter adjustment instruction input by a user; driving a multi-agent simulation engine to simulate production process evolution based on the instruction, and generating process simulation data; analyzing the simulation data and quantifying the influence of the decision on the production indexes to form a performance evaluation report; searching a semantic matched historical case knowledge graph, and extracting a disposal plan; according to the scheme, scientific deduction and intelligent assistance of production command decisions are realized, emergency response efficiency is improved, precipitation and reuse of command experience are promoted, multi-user collaborative deduction is supported, and team decision collaborative ability is enhanced.

The invention provides a BIM-based pipeline comprehensive arrangement construction method, and relates to the technical field of building construction.The method comprises the steps that (1) modeling is conducted according to specialties, specifically, a Magicad platform serves as basic modeling software, and BIM models of all specialties are systematically established; (2) pipeline integration: combining the professional BIM models into the same space through a Magicad platform; (3) collision detection: performing collision detection on the first pipeline comprehensive model through a Magicad platform; (4) collision optimization adjustment: optimizing pipeline arrangement of the first pipeline comprehensive model according to a collision detection result; (5) design change and entity verification: verifying the consistency of the second pipeline comprehensive model and the site, and optimizing and adjusting the second pipeline comprehensive model according to a verification result and design drawing change; (6) process simulation: carrying out visual simulation on the construction process of the final installation scheme; (7) material preparation and construction; and (8) quality acceptance. According to the scheme, the construction efficiency can be improved, and labor and material cost is reduced.