11results about How to "Realize dynamic simulation" patented technology

This application relates to the field of fire safety operation and maintenance management, and discloses a method, system, and storage medium for predicting the service life of fire valves. The method includes: collecting operating data of the fire valves and extracting degradation characteristics; analyzing their interaction with environmental factors to construct a torque change rate model; determining nonlinear characteristic parameters based on torque change indicators and environmental influences; assessing cascading effects when parameters exceed thresholds to obtain influence coefficients; adjusting the sealing roughness simulation mesh and determining the dynamic evolution path; integrating operating frequency fluctuations to update path connection strength to extract attenuation trends and determine degradation threshold points; generating compensation signals to optimize the torque change rate model and obtain nonlinear rate correction values; quantifying the cumulative effect based on the correction values ​​and dividing the service life range of the fire valves. This application solves the problem of difficult-to-accurately assessing the performance degradation of fire valves under complex operating conditions, improving the accuracy of service life prediction and the scientific nature of maintenance decisions.

The application relates to the technical field of dam safety operation and maintenance, and provides a reservoir dam safety monitoring method and system based on digital twinning, which comprises the following steps: a change relationship between dam body stress and displacement is constructed through a water level stress transmission path established by a reservoir dam digital twinning model and historical stress and displacement data; after real-time stress and weather prediction data are acquired, the water level stress is predicted based on the change of the water level in combination with a physical mechanism model and a big data driving algorithm, dam body displacement prediction caused by water level change is obtained, dam body displacement prediction is monitored and early warning is performed, dynamic simulation and safety evaluation of the dam operation state are realized, and the early identification ability and prediction accuracy of dam safety hazards are improved.

This utility model discloses a device for measuring the needle length of an auto-injector, comprising an upper structure and a lower structure, which are slidably connected by a sliding fit. The upper structure is a hollow frame structure with a limiting groove at the top for accommodating the tip of the auto-injector or the activation button. Upper support arms are located on both sides of the upper structure, and each upper support arm has a positioning hole and a connecting hole at its bottom. The lower structure includes a base with lower support arms on both sides. Each lower support arm has a longitudinal hollow groove, and the sliding fit is located within the hollow groove. The upper support arms slide along the trajectory of the hollow groove via the sliding fit. A receiving groove is located in the middle of the base. This utility model has a simple structure, is easy to operate, and has strong adaptability. It can support the complete activation process of a simulated three-step auto-injector, greatly improving the accuracy of needle length measurement in the early stages of research and development.

The invention provides a fire extinguishing system fire extinguishing performance testing device for an energy storage system, which relates to the technical field of fire extinguishing performance testing and comprises a basic characteristic parameter acquisition module, a test scheme intelligent generation module, an out-of-control test working condition simulation module, a multi-dimensional parameter acquisition and monitoring module and a fire extinguishing performance evaluation and analysis module. According to the invention, an individual characteristic parameter set of the tested energy storage system is constructed through the basic characteristic parameter acquisition module, so that the test scheme intelligent generation module can generate a targeted dynamic time sequence test scheme, and accurate matching between the test scheme and the actual working condition of the energy storage system and dynamic simulation of the whole thermal runaway process are realized; through the multi-dimensional parameter acquisition and monitoring module and the fire extinguishing performance evaluation and analysis module, three-dimensional comprehensive evaluation of the fire extinguishing efficiency, the cooling performance and the decontamination efficiency is realized, an optimal fire-fighting strategy is automatically output based on an evaluation node distance, and the intelligent level and the engineering application value of the test device are improved.

The present application relates to a kind of digital mockup construction system for three-dimensional woven preform equipment, the system includes the construction method of five different models and the construction method of four kinds of associations between models, the construction of five different models is physical modeling, data modeling, action modeling, process modeling, simulation, four kinds of associations between models are respectively associated with data, the association of motion model and physical three-dimensional model and data model, the association of process model and motion model and data model, the association of simulation result and data model.This method constructs virtual production process twin model, and carries out two-way real-time interaction with physical production process, utilizes the dynamic update of simulation model driven by multi-source data, standardizes the construction process of digital mockup, realizes real-time monitoring to production process, improves the utilization of data, realizes closed-loop feedback and process optimization.

The application belongs to the field of dynamics simulation, and provides a blood flow dynamics simulation method and system based on blood vessel reconstruction and center line driving, which carries out preprocessing and blood vessel segmentation on acquired digital subtraction angiography and computer tomography angiography data, and constructs a three-dimensional blood vessel model; extracts a blood vessel center line and calculates an arc length parameter along the center line, calculates a blood vessel radius distribution through a distance field, and establishes a flow velocity estimation model by using a continuity equation; based on the flow velocity estimation model, a blood flow front function related to time is constructed to represent dynamic propagation of blood flow in the blood vessel; a multi-frame three-dimensional sub-model is generated by matching a digital subtraction angiography sequence, deformation information of the blood vessel over time is extracted, and a periodic pulsation model is constructed; and the blood flow front function and the periodic pulsation model are coupled. The application realizes quantitative estimation of a blood vessel radius, flow velocity and pressure, and interactive dynamic blood flow visualization and local diagnosis capability.

The application relates to a full-link cross-layer security simulation verification method and system for an industrial control system, wherein the method comprises the following steps: constructing a cross-layer coupling model, generating simulation output of the cross-layer coupling model through dynamic interaction and joint simulation architecture among layers; performing semi-physical verification, real-time interception of communication instructions of the industrial control system and injection of programmable delay, determination of the influence of the delay on control accuracy in combination with preset quantitative mapping relationships in the cross-layer coupling model; data interaction and synchronous transmission among the layers are performed through multi-simulation platform cooperation; based on the simulation output of the cross-layer coupling model, the delay influence data in the semi-physical verification and real-time data of the multi-platform cooperative transmission, the data coupling effects among the layers are compared with preset safety thresholds, dynamic simulation verification of full-link cross-layer security of the industrial control system is performed, and the purpose of quantitative evaluation and active defense capability improvement of the full-link cross-layer security of the industrial control system is achieved.

The invention relates to the technical field of digital twinning, in particular to a digital twinning working face system based on a real-size digital model, which comprises a multi-source heterogeneous data acquisition module, a real-size three-dimensional modeling module, a dynamic space registration module, a multi-physics field coupling module and an interactive visualization module, wherein the multi-source heterogeneous data acquisition module is used for acquiring roadway surface point cloud data, equipment operation pose data and real-time pressure data of a hydraulic support; the real-size three-dimensional modeling module is used for constructing a roadway three-dimensional skeleton model with centimeter-level precision and generating an equipment assembly model with the proportion of 1: 1; and the dynamic space registration module is used for dynamically binding the equipment pose data to the equipment assembly model. According to the method, by fusing multi-source sensing data, a real-size three-dimensional model is constructed, and equipment dynamic registration and multi-physical field coupling analysis are realized, so that the problems of low modeling precision, non-real-time attitude binding, insufficient stress visualization and the like of the existing working face are solved.

The application discloses a controllable harmful component detection system in soil based on environmental monitoring and belongs to the technical field of soil environmental monitoring and remediation. The system comprises a data acquisition module, a feature construction module, a migration simulation module and a control execution module. The data acquisition module acquires the soil in-situ spectral reflectance sequence in the monitoring area and synchronously acquires the environmental temperature fluctuation and precipitation intensity data; the feature construction module fuses the above data to construct a soil spectral time sequence feature matrix; the migration simulation module inputs the matrix into a soil harmful component dynamic extraction model to simulate the migration and accumulation process of heavy metal ions in soil pore solution, and outputs the predicted heavy metal ion concentration gradient of different depth soil layers; and the control execution module generates a control instruction according to the difference between the concentration gradient and the safety threshold value to control the start and stop time and output power of the electromagnetic induction heating device and the ultrasonic assisted extraction device.

This invention proposes a predictive method for aero-engine support based on multi-agent modeling. This method comprehensively considers the main factors influencing the number of backup engines available for use. Addressing the variable states of aero-engines during operation and maintenance, it proposes an agent state machine model for aero-engines. Using multi-agent simulation, it recreates various mission scenarios for aero-engines, including ordering, use, overhaul, and return to the factory after failure. This enables dynamic simulation of the entire fleet's aero-engine usage process, predicting the optimal reserve number of aero-engines for a certain period in the future—that is, how many backup engines should be equipped to meet a given operational readiness level. Simulation results show that this invention can effectively simulate the support process of a fleet's aero-engines and accurately determine the number of backup engines required under a given operational readiness level.

The invention discloses a distribution network side high-risk area intelligent monitoring method, system, equipment and medium, and relates to the technical field of power distribution networks, and the method comprises the steps: constructing a distribution network side high-risk area multi-dimensional intelligent monitoring system, collecting multi-source monitoring data, transmitting the data to a data processing center in real time through a dual-mode transmission mode, and carrying out fusion processing and data standardization. The method comprises the following steps: generating a standardized monitoring data set, carrying out risk identification and dynamic evaluation based on the standardized monitoring data set, identifying a risk type by combining an unsafe state cause process model and a risk identification method, evaluating a risk occurrence probability and consequence severity, and generating graded early warning information according to a risk identification and dynamic evaluation result. And real-time monitoring and advanced prevention and control of the risk of the high-risk area of the distribution network side are carried out. According to the method, accurate identification, dynamic evaluation and advanced early warning of the distribution network risk are realized, traditional passive first-aid repair is upgraded to active defense, and the safety toughness of a power grid to deal with extreme weather is remarkably improved.