102 results about "Hydraulic simulation" patented technology

The invention discloses a cascade reservoir collaborative flood control scheduling decision-making method of a coupling meteorological-hydrological-hydraulic model. The method comprises the steps of multi-source meteorological data fusion and probability forecast generation, dynamic coupling hydrological-hydraulic simulation, risk entropy driven collaborative optimization decision-making, digital twin platform verification and correction, instruction execution and closed loop feedback. Through multi-technology fusion and an intelligent optimization mechanism, the scientificity, timeliness and safety of flood control scheduling are remarkably improved. In the weather forecast stage, multi-source data are integrated to output ensemble rainfall forecast scene data, rainfall input uncertainty is reduced from the source, it is ensured that initial driving precision of flood simulation is improved, and a reliable input basis is provided for subsequent model coupling; in the hydrological-hydraulic dynamic coupling stage, a coarse-fine grid dynamic division strategy is adopted to reduce redundancy calculation, the asynchronous pipeline technology enables the flood routing calculation efficiency to meet the real-time scheduling requirement, and the simulation speed is greatly accelerated.

The invention discloses a modeling analysis method for optimizing an urban water supply pipe network, and belongs to the technical field of intelligent water affairs, and the method comprises the steps: building a comprehensive pipe network database, collecting hydraulic parameters through Internet of Things equipment, and fusing the hydraulic parameters with GIS topological data; constructing a dynamic hydraulic simulation model, coupling real-time data of a pressure sensor with an EPANET model, and correcting a friction resistance coefficient of a pipe section; a hybrid optimization algorithm architecture is designed, a double-target genetic algorithm is adopted for old pipe network transformation, and a constrained particle swarm algorithm is adopted for new pipe network planning; executing multi-stage optimization calculation, generating a pipe diameter feasible solution space in combination with geographical constraints, and iteratively outputting a scheme meeting a pressure threshold value; and generating a pipe network optimal configuration scheme, and outputting an engineering implementation list through spatial overlay analysis and valve regulation logic. According to the method, the problem of modeling distortion caused by a multi-source data island is solved, the defect that a static model is difficult to adapt to dynamic water demands is overcome, and the economical efficiency and the engineering implementability of a pipe network optimization scheme are remarkably improved.

The invention relates to a product oil pipeline abnormal data identification and online simulation method, system and device and a medium. The method comprises the following steps that SCADA real-time data is obtained and preprocessed; performing steady-state working condition judgment on the basis of the preprocessed real-time data: if the current real-time data is in a steady-state working condition, inputting the current real-time data into a pre-established online parameter identification optimization model for online calibration, identifying and removing abnormal data, and inputting each calibrated parameter into an online hydraulic simulation model for simulation calculation; obtaining hydraulic parameters of the product oil pipeline; otherwise, inputting the current real-time data into the online hydraulic simulation model for simulation calculation to obtain the hydraulic parameters of the product oil pipeline. The method can be widely applied to the field of product oil pipeline simulation calculation.

The invention relates to a construction method and application of a pollutant non-point source migration prediction model based on a gated circulation unit neural network, and belongs to the urban non-point source pollution prediction technology, and the construction method is characterized by comprising the following steps: S1, collecting historical data of a to-be-detected region, dividing the historical data into a plurality of sub-basin data, and carrying out the standardized integration to form a feature data set; s2, establishing a pollutant non-point source migration prediction model through the feature data set; the pollutant non-point source migration prediction model comprises a hydrological simulation module, a hydraulic simulation module and a pollutant fate module; and S3, training the hydraulic simulation module and the pollutant fate module, and optimizing module parameters.

The invention relates to the technical field of electric power engineering, in particular to a simulation method of a power station motor high-oil-pressure jacking hydraulic system, which comprises the following steps: building a high-oil-pressure jacking hydraulic simulation system which comprises a control module, a constant-pressure variable pump, a pressure release valve, a measuring element, an oil tank, an equivalent load, an equivalent hydraulic cylinder and a pressure release hole; the equivalent hydraulic cylinder is used for jacking up the equivalent load and simulating a real scene that the motor is jacked up by high-pressure oil; theoretical modeling is conducted on a frame and all parts of the high-oil-pressure jacking hydraulic simulation system; by establishing a linkage mechanism of the equivalent area, the pressure and the flow of the pressure relief hole, pressure fluctuation and compensation response during working condition conversion are accurately simulated; smooth transition between the static jacking state and the operation pressure maintaining state is achieved, and the stability and the self-adaptive capacity of the system under the variable rotating speed condition are effectively verified. Compared with traditional static simulation, the whole process of the hydraulic and mechanical coupling effect in actual operation is reflected more comprehensively.

The invention discloses an aviation fuel gear pump performance prediction method based on lumped parameters, which relates to the technical field of aviation hydraulic simulation, and comprises the following steps: dividing fluid working cavities according to the geometric structure of a fuel gear pump, defining the flow exchange relation and the pressure change relation among the fluid working cavities, and establishing a coupling calculation path; forming a basic prediction model; the method comprises the following steps: extracting a biofuel blending ratio and a water content parameter according to a fuel component parameter input in real time, comparing the biofuel blending ratio and the water content parameter with a preset blending ratio threshold to trigger a corresponding correction rule, generating a compensation coefficient, and generating an elastic modulus parameter in combination with the water content parameter and the compensation coefficient; and inputting a preset working condition parameter and an elastic modulus parameter into the basic prediction model, calculating mass flow exchange data through the flow exchange relationship, driving the pressure change relationship to solve, and outputting an initial pressure distribution vector. Through the elastic modulus parameter dynamic generation step, the problem of physical property parameter static correction distortion under the variable component working condition is solved.

The invention relates to the technical field of intelligent management of water supply pipe networks, in particular to a water supply pipe network equipment management system based on digital twinning. Comprising a data acquisition module which is used for periodically acquiring and preprocessing pressure and flow data of each monitoring point of the water supply network; a reliability evaluation module; the reliability evaluation module is used for calculating the timeliness rate and the integrity rate of pressure and flow data of each monitoring point position and carrying out reliability grading based on the calculated timeliness rate and the integrity rate; the method has the beneficial effects that 1, a fault point location can be positioned through reliability evaluation, and the manual inspection cost is reduced; 2, a daily score drives the model to continuously iterate, and the hydraulic simulation precision is improved; and 3, data support is provided for pipe network pressure regulation and control and leakage detection, the pipe explosion accident rate is reduced, and the intelligent level of water operation is remarkably improved.

The invention relates to the technical field of water supply management, in particular to a water supply management system based on hydraulic simulation data analysis, and the system comprises a water flow detection module which is used for collecting three index data, including water flow data, water flow pressure data and water quality parameter data, of each monitoring point of a water supply network in real time through a sensor; a data preprocessing module; the data elimination module is used for eliminating burr data in various index data and eliminating pre-counted fault state data through a burr identification algorithm; according to the invention, real-time analysis and monitoring are carried out on the operation data of the pipe network, rules and data characteristics among various data are quickly found, the requirements of real-time processing and quick analysis are met, abnormal data can be judged more quickly, a management strategy can be formulated in time, and the scientificity and accuracy of decision making are improved.

The invention belongs to the technical field of fishway engineering and hydraulic simulation and calculation, and relates to a method and system for calculating hydraulic parameters of a vertical seam type fishway influenced by downstream water level change, and the method comprises the steps: S1, obtaining fishway design parameters and initial hydraulic parameters; s2, when the downstream water level changes, calculating the changed flow velocity of the first vertical seam, the changed water level of the inlet, the changed water level of the first pool chamber and the changed water depth of the first pool chamber, and taking the first pool chamber as the current pool chamber; s3, calculating the changed flow velocity of the next adjacent vertical seam and the changed water level and water depth of the next adjacent pool chamber based on the changed water level and water depth of the current pool chamber; and S4, taking the next adjacent pool chamber in the S3 as the current pool chamber, returning to the S3, continuously calculating the changed flow velocity of the next adjacent vertical seam and the changed water level and water depth of the next adjacent pool chamber until the calculation is stopped, and determining the influenced vertical seam and pool chamber and the corresponding changed hydraulic parameters. According to the method, the number of the vertical seams, the pool chambers and the hydraulic parameter change condition influenced by the downstream water level change can be determined.

The invention relates to the technical field of water affair management, in particular to a water affair pipe network management system based on a GIS (Geographic Information System), which comprises a GIS map module which is used for dynamically displaying real-time states of monitoring points on a GIS map and visualizing a connection relationship between pipelines and nodes through topological analysis of the GIS; according to the application, a GIS map is taken as a core carrier, strong association of space coordinates-asset attributes-real-time states is constructed, and quantitative analysis and intelligent decision-making capabilities are endowed to the system through closed-loop linkage of four algorithms of water leakage detection, hydraulic simulation, path optimization and pipe network extension.

The application discloses an airplane hydraulic servo actuating system simulation method based on digital twinning, and the method comprises the following steps: (1) constructing a digital twinning hydraulic simulation model and a digital twinning three-dimensional visual model of an airplane hydraulic servo actuating system physical system; (2) storing simulation model output data of a monitoring point of the digital twinning hydraulic simulation model and sensor acquisition data of the airplane hydraulic servo actuating physical system in real time and synchronously to form twinning data; (3) comparing and analyzing the simulation model output data and the sensor acquisition data, iteratively optimizing the digital twinning hydraulic simulation model through a model optimization module, and simultaneously performing three-dimensional visual demonstration on the working condition of the airplane hydraulic servo actuating virtual model. The application can provide a simulation modeling and optimization method for airplane hydraulic servo actuating system design, and provide a reference for research and verification of virtual-real mapping technology of the airplane hydraulic servo actuating system based on digital twinning.

The invention discloses an urban drainage pipe network intelligent regulation and control method and system based on digital twinning, and relates to the technical field of urban drainage pipe network regulation and control, and the method comprises the steps: constructing an online calibration digital twinning body based on a hydrodynamic principle and a data assimilation algorithm according to basic physical information and real-time past monitoring data, and carrying out the online calibration of the digital twinning body; then hydraulic simulation is carried out according to real-time past monitoring data and past weather forecast data, and a risk early warning model is constructed; acquiring current real-time monitoring data and current weather forecast data, and inputting the current real-time monitoring data and the current weather forecast data into the risk early warning model to obtain risk early warning information; determining the abnormal state type of the current urban drainage network according to the real-time past monitoring data and the online calibration digital twin; and performing intelligent regulation and control on the urban drainage pipe network according to the abnormal state type and the risk early warning information. According to the invention, abnormal diagnosis of the urban drainage pipe network, predictive early warning of waterlogging risk and global optimization regulation and control of the urban drainage pipe network are realized, and intelligent management of the drainage pipe network is embodied.

The invention relates to the technical field of water supply pipe networks, in particular to a water supply pipe network dynamic hydraulic simulation and leakage prediction method based on digital twinning, which comprises the following steps: S1, collecting multi-source heterogeneous data of a water supply pipe network in real time; s2, obtaining multi-source heterogeneous data of the time-space registration water supply pipe network; s3, establishing a pipe network multi-physics field coupling digital twinborn body; and S4, obtaining a micro-leakage sound wave signal. S5, obtaining a graph structure which can be processed by a computer; s6, establishing a leakage positioning model, and inputting the graph structure, the micro-leakage sound wave signal and the time-space registration water supply network multi-source heterogeneous data into the leakage positioning model to obtain leakage point positioning data; s7, establishing a fracture prediction model, and outputting a prevention decision; step S8, carrying out life prediction to obtain the life of the pipe network leakage node; step S9, optimizing the prevention decision; and step S10, updating the weighted target planning model. Precision and intelligence of water supply pipe network management are realized.

The invention discloses an urban drainage pipe network intelligent health analysis system based on multi-modal twin deduction, relates to the technical field of drainage pipe network monitoring, and constructs an analysis system composed of a three-dimensional modeling module, a topological relation construction module, a characteristic parameter extraction module, a coupling accuracy evaluation module, a flow state misjudgment risk prediction module, a dynamic adjustment module and the like. By extracting a wellhead terrain residual height gradient and a historical waterlogging point height difference offset index and combining local hydraulic simulation and error sensitivity index analysis, classified recognition and dynamic correction of wellhead modeling deviation are achieved, the elevation coupling precision and hydraulic simulation reliability of a drainage pipe network model are effectively improved, and the method is suitable for large-scale popularization and application. Therefore, the intelligent monitoring, risk early warning and decision support capabilities of the urban drainage system are enhanced.

The invention discloses a processing method and device for automatically processing a multi-layer BIM model based on an AI model. The processing method comprises the steps of performing semantic classification on component materials in a BIM model based on an AI model to obtain semantic material information; processing the OSGB data to determine a DEM data set; static visual data of the BIM model are determined; determining hydraulic simulation data and / or pedestrian evacuation simulation data; fusing the determined hydraulic simulation data and / or the determined pedestrian evacuation simulation data with the determined DEM data set, and calling a hydraulic simulation model and / or a pedestrian evacuation simulation model to determine a hydraulic simulation result and / or a pedestrian evacuation simulation result; and calling a visualization engine to construct a visualization three-dimensional scene of the BIM model based on the determined static visualization data, the determined hydraulic simulation result and / or the determined pedestrian evacuation simulation result. Therefore, the automation degree of comprehensive simulation and visualization of the multi-story building is improved.

The present application relates to the field of liquid fuel pipeline simulation, and discloses a kind of multi-variety liquid pipeline sequential transport hydraulic simulation method and system based on dynamic interpolation method, can be in the multiple division pipe sections of multi-variety liquid fuel pipeline sequential transport simulation model, select the two adjacent pipe sections for transporting different varieties of liquid fuel. According to the maximum fuel wave speed in the model, each adjacent pipe section is respectively grid divided, and at least one grid node in each adjacent pipe section is determined. The relative position relationship between the oil mixing interface and the grid node in the two adjacent pipe sections is monitored. According to the relative position relationship, the fuel wave speed of the grid node, the maximum fuel wave speed and the dynamic interpolation method, the flow and pressure head of at least one grid node are determined. The present application can accurately depict the multi-variety liquid fuel pipeline sequential transport process, realize the accurate simulation of sequential transport scene, and effectively enrich the multi-variety liquid pipeline sequential transport hydraulic simulation method.

The application relates to the field of gas pipeline network operation, and discloses an intelligent monitoring system and method for dynamic residual capacity of a gas pipeline network, which comprises the following steps: an industrial computer is connected with a SCADA system intermediate database interface, a production information system interface and a GMS system interface through communication optical cables; a real-time QPT metering module, a hydraulic simulation module, a risk assessment module, a scene generation module, a historical production database module, a user shipping management module and a residual capacity monitoring module are arranged in the industrial computer; the production information system interface is connected with the historical production database module, the SCADA system intermediate database interface is connected with the real-time QPT metering module, and the GMS system interface is connected with the user shipping management module; the historical production database module, the real-time QPT metering module and the user shipping management module transmit the received information to the scene generation module, the hydraulic simulation module, the risk assessment module and the residual capacity monitoring module in sequence after processing, and the dynamic residual capacity is calculated in real time.

The application discloses a kind of thermotechnical hydraulic model topological structure generation method, equipment and medium, belong to thermotechnical hydraulic simulation software field, including steps: S1, identification model connector;S2, read model parameter, read and save the model parameters of upstream and downstream nodes on connection line, the upstream and downstream nodes on connection line include pipe and connector;S3, generate graph data structure, generate graph data structure vertex and edge and error for connection error;S4, generate topological structure, traverse vertex and number pipe and connector, and connect upstream and downstream;S5, supplement topological structure information, and give the initial parameters of pipe and connector to the corresponding node in topological structure.This application not only can identify visual pipe modeling connection relationship and quickly and automatically establish topological information structure, but also facilitate program maintenance and subsequent algorithm developer application.

The invention relates to the technical field of water affair informatization, in particular to a pipe network hydraulic acquisition method based on water hammer calculation and raw water scheduling, which comprises the following steps: acquiring operation parameter data of each water source node of a raw water transmission and distribution system, and setting initial conditions and boundary conditions of hydraulic simulation based on the parameter data; establishing a transient control equation based on the topological model, the initial condition and the boundary condition, and performing discretization and numerical solution on the transient control equation to obtain an initial transient hydraulic distribution result of each node under each time step; based on the initial transient hydraulic distribution result, iteratively applying a multi-water-source combined water supply balance constraint, a pump station energy consumption constraint and a valve flow constraint, correcting the pressure and flow of each node until each constraint condition in the whole scheduling period is met, and obtaining a transient hydraulic distribution result after constraint correction; and on the basis of the transient hydraulic distribution result after constraint correction, error analysis is carried out on the pressure and flow of each node, iterative correction is carried out, and a corrected steady-state hydraulic result is obtained.

The invention relates to an intelligent diversion tunnel design method based on multi-module collaborative optimization, which solves the problem of a linear serial mode of a traditional diversion tunnel design process, breaks through the limitation of artificial experience and finds a global or approximately global structural economic optimal solution. Establishing a model basis library, inputting engineering boundary conditions, and standardizing data; the intelligent hydraulic calculation and section optimization module is used for performing hydraulic simulation calculation to generate a plurality of section design schemes; the preliminary support design module is used for matching an initial support design scheme with known sections and geological conditions; the structural calculation module is used for calculating, checking and optimizing mechanical safety and economical efficiency by integrating the design schemes of the section and the preliminary support; the economic comparison module quantifies the economic cost of each design scheme and provides a target function value; and through an intelligent closed-loop mode, closed-loop processing is carried out on the calculation module by adopting modes of design, verification, feedback, optimization and result output in sequence.

A multi-physics coupling system and method for a microreactor includes: a neutron physics simulation module, a thermal-hydraulic simulation module, a power conversion module, a main function module, a burnup nuclide update module, and a control drum position update module. The present invention dynamically adjusts the position of the control drum via the control drum position update module during the burnup coupling calculation process. In conventional multi-physics coupling methods, the position of the control drum is fixed, so the effective proliferation factor of the core is always greater than 1.0, and the results of the coupling calculation cannot reflect the actual state of the reactor during operation. When the multi-physics coupling method of the present invention is used for calculation, by continuously adjusting the control drum position, the effective proliferation factor of the reactor is always near 1.0, which is closer to the operating conditions of a real reactor and can more accurately simulate the state of the reactor.

The invention discloses a PDC drill bit intelligent design system and method based on Un-ity, and the system comprises a data input module which is used for receiving a drill bit design parameter set and a drilling working condition stratum data set; the hydraulic simulation optimization module is used for carrying out simulation analysis on a drill bit bottom hole flow field and chip migration on the basis of the design parameters and the drilling fluid parameters; the core algorithm module is used for carrying out quantitative evaluation on the drill bit design scheme and calculating four core performance indexes including aggressiveness, stability, deflecting capacity and matching performance; and the front end interaction and visualization module is used for generating a parameterized PDC drill bit three-dimensional model. According to the method, drill bit design parameters and stratum working condition data are deeply fused, the problems that traditional design and actual working conditions are disjointed, hydraulic performance evaluation depends on experience estimation, evaluation standards are subjective, iteration efficiency is low and the like are solved, rapid, quantitative and intelligent evaluation and optimization of a design scheme are achieved, and the method is suitable for large-scale popularization and application. And the scientificity, accuracy and efficiency of drill bit design are obviously improved.

This invention discloses a method and system for water hammer protection and control in large-scale drip irrigation networks based on pressure feedback, relating to the field of drip irrigation water hammer prevention and control technology. The method includes: constructing the drip irrigation network topology using GIS digital modeling technology and marking the locations of water hammer protection devices; collecting network water condition data through sensor arrays, and constructing a network water condition dataset after preprocessing; calculating the water hammer risk coefficient of each network segment using a covariance matrix discriminant model based on the network topology and water condition dataset, selecting a set of risky network segments, solving the pre-control action parameters of the adjustable water hammer protection device using a particle swarm optimization algorithm, and issuing the device for execution after verification through steady-state and transient joint hydraulic simulations, thereby predicting and preventing water hammer occurrence and ensuring steady-state network pressure. This invention achieves accurate identification and efficient control of water hammer risk in large-scale drip irrigation networks, reduces water hammer protection energy consumption, and ensures stable operation of large-scale drip irrigation networks.

The present invention relates to a method for obtaining the hydraulic data of single-phase fluids in a pipe network system lacking measuring points. By combining Kirchhoff's law with the fluid momentum conservation formula, the unknown resistance coefficients and unknowable variables such as manual valves in the fluid network are transformed into the relationship between pressure and flow through parameter transformation. Then, the coupled relationship formula of this pressure and flow is substituted into the fluid network iteration process for joint iteration. Finally, based on the flow rates at the inlet and outlet, the pressure distribution of the entire fluid network system can be deduced. The present invention is a hydraulic calculation algorithm for single-phase fluids in a pipe network based on fluid network theory and aiming at the lack of measuring points in the actual pipe network system, so as to effectively solve the problem of hydraulic simulation calculation of the pipeline system and improve the accuracy and coverage of pipeline monitoring.

The present invention provides a method for real-time monitoring of the operation status of a water supply network, including establishing a digital network topology structure model based on the obtained water supply network topology structure and pipeline parameters; collecting the measured parameters of the operation status of the water supply network within the control area of the water supply network, and preliminarily calculating relevant parameters; performing real-time network hydraulic simulation analysis and calculation based on the network topology structure model and the measured parameters to obtain the simulated parameters of the operation status of the water supply network; combining a water supply network data status anomaly detection algorithm to determine whether there is an anomaly in the status of the water supply network; when there is an anomaly, finding the cause of the anomaly based on a multi-modal factor comprehensive judgment formula. The present invention further discloses a corresponding system and electronic device. The present invention can accurately judge the water usage behavior of water usage units in the water supply network, the water leakage situation of the water supply network, and the status of data collection devices, and can also locate abnormal water usage nodes, network leakage points, and abnormal metering positions.

The application discloses a ship lock water delivery intelligent collaborative control method based on a hydraulic simulation and relates to the technical field of ship lock hydrodynamics. The application collects hydraulic data such as speed, acceleration and blockage ratio in the ship water delivery process, constructs discrete hydraulic states and calculates attribution coefficients; in combination with historical transfer frequency and physical conservation law verification, a state transfer matrix reflecting state evolution law is established; the future hydraulic state probability distribution is deduced by using a Markov chain model, and then a mooring force threat coefficient is calculated to quantify the risk. The method dynamically adjusts the valve opening degree based on the prediction result, realizes intelligent collaborative control with prediction ability, changes passive response into active prevention, and improves the operation safety and efficiency of the ship lock.

The invention provides an operation management method and system for a hydraulic simulation model in a heat supply pipe network, and belongs to the technical field of operation management. When it is determined that the heat supply pipe network does not need to adopt a preset strategy to carry out operation management on the hydraulic simulation model, the operation risk position in the operation data interval is determined based on the deviation condition of the operation risk position in the operation data interval and the operation risk positions in other operation data intervals; and the operation management method of the hydraulic simulation model is determined in combination with the matching condition of the different operation risk positions and the monitoring data of the associated heat users, so that the reliability of operation management processing of the hydraulic simulation model used in the heat supply network is improved.

The application relates to the field of simulation control technology and discloses a ship lock electrical hydraulic simulation combined control method and system, which comprises the following steps: acquiring the communication round trip time of key instruction interaction between an electrical control simulation platform and a hydraulic simulation platform; maintaining a recent data set containing the communication round trip time of the latest preset number of times, the recent data set being updated by using a first-in-first-out mechanism, and calculating a communication timeout judgment limit according to the statistical characteristics of the recent data set; if the actual response time of the key instruction interaction is not within the communication timeout judgment limit, communication compensation is carried out, otherwise the simulation is continuously carried out normally; by monitoring the communication round trip time in real time and dynamically adjusting the communication timeout judgment limit, the complex network environment can be dynamically adapted, the misjudgment and unnecessary compensation caused by the fixed timeout setting value under network jitter are effectively avoided, the continuity and data accuracy of the simulation process are ensured, and the problem that the simulation result deviates due to communication fluctuation in the prior art is solved.

The invention discloses a sewage pipe network external water inflow positioning method and system based on data driving, and belongs to the field of urban sewage pipe network diagnosis and detection.The method comprises the steps that basic data of a sewage pipe network are collected to establish a hydrodynamic model; a monitoring point is selected at the most downstream of the target area, and an upstream pipe network is divided into K independent branches; randomly selecting node adding flow in a branch, executing hydraulic simulation, and generating a data set comprising a monitoring point inflow working condition liquid level time sequence, a full-node normal working condition liquid level time sequence, a node maximum liquid level difference and an inflow label; a two-stage inflow positioning framework is constructed, in the first stage, the node liquid level space-time matrix is input into the LSTM-GCN regression model to output the maximum node liquid level difference, and in the second stage, the vector is input into the GCN classification model to generate the inflow probability of each branch. By adopting the method and the system, the accurate positioning of the inflow source under single-point monitoring is realized, and the equipment dependence and the operation and maintenance cost are remarkably reduced.

The invention discloses a hydraulic simulation data construction method and device. The construction method comprises the following steps: for each visible component in a BIM model, determining a hydraulics role corresponding to the visible component; determining a first surface dictionary, a connection element dictionary and a connection surface list based on a determination result of the hydraulic role; based on the connecting element dictionary, processing bottom surface data and top surface data of a visible component of which the corresponding hydraulics role is a connecting element, and determining a receiving area set and a centroid point set; determining a supporting DEM dictionary and a blocking DEM dictionary based on the first surface dictionary, and determining a final supporting DEM dictionary based on the determined supporting DEM dictionary and the determined blocking DEM dictionary; and determining a connection DEM dictionary based on the first surface dictionary and the connection surface list. Therefore, the conversion efficiency from the BIM model to hydraulic simulation is improved.