100 results about "Transims" patented technology

The invention discloses a post-pumping air tank robustness collaborative design method considering hydraulic parameter time-varying characteristics, which comprises the following steps: defining a hydraulic parameter uncertainty fluctuation interval of a water delivery system in a full life cycle, and setting a body structure decision variable range of a post-pumping air tank; performing combined sampling in the water conservancy parameter uncertainty fluctuation interval and the body structure decision variable range by using a test design method to generate an initial sample set; performing steady-state and transient-state coupling simulation on the initial sample set, constructing a constant-flow operation condition of the water delivery system by using a hydraulic equation, updating a water pump working point and pipeline pressure distribution, performing transient simulation by using a characteristic line method to obtain a hydraulic response index, and training to obtain a water hammer response agent model; constructing a robustness optimization objective function based on failure probability constraint; and performing global optimization on the target function by using an intelligent optimization algorithm, calling the water hammer response agent model to perform random simulation, evaluating a failure probability, and outputting a target design scheme.

The invention belongs to the field of distributed system control, and particularly relates to a vehicle system distributed control method, system and device based on reinforcement learning. Cooperative and competitive dynamic characteristics of a multi-vehicle system are described through a second-order nonlinear dynamic model in combination with a signed directed graph, unknown nonlinear dynamic and external disturbance existing in the vehicle system are considered, and the whole system is modeled as a second-order strict feedback nonlinear system. In order to get rid of dependence of convergence time on initial conditions and optimize transient performance, a preset time performance function is introduced, and a three-part neural network architecture is constructed; and designing a control law cooperating with a preset time parameter, and ensuring the actual preset time boundaries of the multi-vehicle system under the unknown dynamic and external disturbance influence. According to the method, the convergence time can be accurately set, the calculation complexity of a control algorithm is remarkably reduced, and the transient performance and robustness of a vehicle system are improved.

The invention relates to the technical field of communication network maintenance, and discloses a communication network operation quality monitoring and closed-loop operation and maintenance scheduling management system, which comprises an acquisition unit for acquiring network element telemetry data; the observation module extracts a flow fingerprint, converts a link into a transfer function model, and generates a consistency gradient vector according to singular point offset; the echo prediction module converts the scheduling instruction into an expected gradient offset vector; the module calculates the scheduling residual error of the actually measured offset and the expected offset; the decision-making unit generates a path reconstruction instruction, and the scheduling residual error is utilized to check the execution efficiency and update the operation reference; according to the invention, the flow conduction consistency constraint is anchored, the link degradation characteristic and random fluctuation decoupling is realized, and the transient interference generated by the scheduling action is eliminated.

Systems, methods, and non-transitory media are provided for dynamically predicting visibility of freights in a constrained environment. An example method can include determining attributes associated with a load transported by a carrier from a source to a destination, the attributes including an identity of the carrier, an identity of an industry associated with the load, an identity of a shipper of the load, load characteristics, and / or a pickup time of the load; based on the attributes, predicting a route the carrier will follow when transporting the load to the destination, at least a portion of the route being predicted without data indicating an actual presence of the carrier within the portion of the route, the data including location measurements from a device associated with the carrier and / or a location update from the carrier; and generating a tracking interface identifying the route the carrier is predicted to follow.

The invention relates to the technical field of e-commerce, in particular to an e-commerce intelligent prediction management method and system based on big data, and the method comprises the following steps: obtaining a real-time message in a buffer area, generating a throughput rate sequence based on a sliding window, carrying out the difference and mapping of throughput rates of adjacent periods, and constructing a gradient slope sequence; and extracting a transient abrupt change ratio by means of a moving average model to generate a pre-trigger level identifier, extracting a set boundary extreme value, carrying out quantitative evaluation to generate discrete parameters, correcting a transfer matrix, and executing steady-state iterative solution to obtain prediction confidence to construct an elastic control instruction. According to the method, the sudden change trend of the business time domain dimension is accurately captured and static reference deviation interference is eliminated, so that deep analysis and real-time correction of the dynamic transfer characteristics of the core transaction link are realized, and the dilemma of research and judgment distortion and scheduling lag existing in a traditional rule when facing burst traffic is thoroughly avoided; and the full-link prediction precision and the elastic resource management and control efficiency in a complex transaction scene are remarkably improved.

The present application relates to the technical field of bridge health monitoring, in particular to a bridge health monitoring system acceleration sensor online calibration method and system. The method comprises the following steps: extracting dynamic axle load time history characteristics and environmental interference correction factors according to traffic load data and environmental monitoring data; processing standard sensor data and to-be-calibrated sensor data to obtain real vibration reference characteristics and initial deviation characteristics; using the traffic load data and the real vibration reference characteristics to obtain working condition weight characteristics; combining the dynamic axle load time history characteristics, the environmental interference correction factors, the real vibration reference characteristics, the initial deviation characteristics and the working condition weight characteristics to obtain adaptive optimization calibration values. The present application can realize calibration without disassembling sensors and blocking traffic under normal operation of the bridge, evaluate transient errors through multi-data coupling, adaptively optimize calibration values, and ensure monitoring accuracy while reducing operation and maintenance costs.

The invention discloses a petroleum transportation safety supervision method and device based on artificial intelligence, and relates to the technical field of petroleum transportation, and the method comprises the following steps: S1, carrying out the quantification of a transportation chain safety factor and the construction of an intrinsic risk index; s2, obtaining a dynamic dangerous field index; s3, constructing a safety control priority index; s4, constructing a risk coupling propagation model; s5, the response intensity is quantified, and a multi-strategy response coefficient is output; s6, automatically deducing a final intervention instruction; and the security supervision device is constructed based on the steps. According to the invention, the system can identify essential risks, transient risks and cross-node linkage risks in a transportation chain in real time, can automatically screen proper regulation and control strategies according to risk propagation intensity, and finally generates an intervention instruction which can be directly executed. The upgrading of safety supervision from point-level monitoring to networked, predictive and active safety control is realized, and the overall safety level and operation reliability of a petroleum transportation system are greatly improved.

The invention relates to a multiphase flow interface flow transient parameter analysis method and system and a medium, and relates to the technical field of multiphase flow interface flow analysis. Wherein the transient parameters comprise instantaneous pressure and instantaneous speed, and the method comprises the following steps: obtaining a target area of multiphase flow interface flow transient parameter analysis, and carrying out grid division on the target area to obtain each grid unit; and for any grid unit, the initial pressure, the initial flow velocity, the unit area or volume, the surface tension and the physical strength of the fluid in the unit are obtained, and the instantaneous pressure and the instantaneous velocity are solved based on the constructed double-time-step multiphase lattice Boltzmann flux solver mesoscopic equation. Wherein in a pressure evolution equation in the constructed mesoscopic equation, a physical time item is abandoned, and only a virtual time item of the pressure is considered. Compared with the prior art, the compressibility error of the interface flow velocity is lower, so that the precision of a transient parameter analysis result can be improved.

The application belongs to the technical field of vehicle control, and provides a multi-vehicle longitudinal formation robust control method and system based on knowledge transfer, which comprises the following steps: constructing a generalized nonlinear multi-vehicle longitudinal system model of heterogeneous vehicles; mapping an original constrained tracking error to an unconstrained tracking error based on a dynamic design of a segmented performance function of the original constrained tracking error; constructing a coupled sliding mode surface based on the unconstrained tracking error, designing a multi-vehicle longitudinal formation robust controller and an uncertain parameter adaptive law; collecting input data and output data of a first following vehicle under the multi-vehicle longitudinal formation robust controller, and introducing historical brake measurements as additional input data; training a long short-term memory network and performing iterative optimization; and transferring the knowledge in the trained long short-term memory network to other following vehicle control systems. The application solves the problems of low transient response rate, high design complexity, and a large number of parameter configurations in the traditional method.

According to the present invention, a computer: acquires state information indicating types and locations of a plurality of mobility devices traveling on one or more roads in a predetermined area; for each of the one or more roads, calculates, on the basis of the state information and for each of the types of the plurality of mobility devices, travel comfortableness indicating how high the comfortableness is when traveling in each type of mobility device on each road among the one or more roads; and generates a database that associates, for each of the one or more roads, the type of the plurality of mobility devices with the travel comfortableness when traveling in the type of mobility device on each road.

The invention belongs to the field of mechanical engineering, and particularly relates to a method for calculating the dynamic stiffness of a new energy reducer shell bearing seat. The method aims to solve the problem of low dynamic stiffness prediction precision caused by neglecting manufacturing residual stress and multi-physics field coupling effect in traditional simulation. A refined finite element model containing a high-density mixed grid and material nonlinear characteristics is constructed, a die-casting residual stress field based on neural network prediction is integrated, multi-source dynamic loads such as gear alternating torque, electromagnetic pulse power and road surface excitation are coupled, nonlinear transient dynamics solution is executed, and a die-casting residual stress field is obtained. And obtaining time domain response data of the bearing seat node. In addition, a process-structure-performance database and a rapid prediction model are established, lightweight design closed-loop optimization and digital twinning online monitoring are supported, simulation accuracy and engineering application efficiency are improved, and the method is suitable for dynamic performance analysis and service life management of the new energy automobile speed reducer.

This invention relates to the field of distributed streaming data processing and dynamic reconfiguration of cross-domain processing logic, and particularly to a real-time data stream analysis method and system for the international automotive market. The method includes: acquiring pure physical kinematic state data of the vehicle and pre-authorized original environmental data from a pre-defined system; calculating and generating a transient symmetric key; encrypting the original environmental data into ciphertext data and writing it into a memory buffer; inputting the kinematic data into a gradient descent optimization model, fine-tuning the feature transformation computation graph weight matrix and bias terms, and outputting a new rule domain matching operator path; reading the hardware clock cycle value and injecting it into the header of the ciphertext data tensor to generate a routing marker, guiding the data flow to the new operator path; after confirming the path switch, sending an overwrite command to replace the transient symmetric key with an all-zero physical state, blocking the decryption and restoration path of the remaining ciphertext data. This invention solves the problem of feature data leakage or computational interruption caused by differences in feature transformation standards during cross-regional driving.

The invention belongs to the technical field of vehicle control, and provides a multi-vehicle longitudinal formation robust control method and system based on knowledge migration, and the method comprises the steps: constructing a generalized nonlinear multi-vehicle longitudinal system model of heterogeneous vehicles; dynamically designing a piecewise performance function based on the originally constrained tracking error, and mapping the originally constrained tracking error into an unconstrained tracking error; constructing a coupling sliding mode surface based on an unconstrained tracking error, and designing a multi-vehicle longitudinal formation robust controller and an uncertain parameter adaptive law; collecting input data and output data of a first following vehicle under a multi-vehicle longitudinal formation robust controller, and introducing historical braking measurement as additional input data; training a long short-term memory network, and performing iterative optimization; and transferring the knowledge in the trained long and short-term memory network to other following vehicle control systems. The problems that a traditional method is low in transient response rate, high in design complexity, large in parameter configuration number and the like are solved.

The invention provides a vehicle off-road thermal management simulation calibration method, device and equipment and a storage medium, and the method comprises the steps: obtaining the road test reproduction data of a vehicle, and building a whole vehicle three-dimensional simulation model according to the first boundary data, flow field simulation and temperature field simulation are carried out on the whole vehicle three-dimensional simulation model to obtain the air speed and the air temperature of inlet air on the surface of a heat exchanger in the vehicle, one-dimensional simulation modeling is carried out on a heat management system of the vehicle to obtain a one-dimensional model, and the second boundary data, the air speed and the air temperature are input into the one-dimensional model to carry out transient simulation to obtain heat management simulation data. And according to a data gap between the thermal management simulation data and the thermal management reproduction data, carrying out iterative calibration on model parameters of the one-dimensional model until the data gap meets a preset precision threshold value, and completing vehicle off-road thermal management simulation calibration. According to the method, the wind speed and the wind temperature of the inlet air on the surface of the heat exchanger are obtained through the high-fidelity road test reproduction data and the whole vehicle three-dimensional simulation model, and vehicle off-road thermal management simulation is accurately calibrated.

The application discloses a simulation analysis method for an aircraft landing gear tire under heavy landing impact load, and relates to the technical field of aeronautical engineering and computational mechanics. First, in the tread and sidewall rubber area, the micro-heterogeneity of the rubber material in the tire is equivalent to the super-elastic mechanical behavior of the macro-continuous medium based on the homogenization theory. This process avoids the extremely dense mesh and complex constitutive relationship required for depicting the micro-features such as filler distribution and interface effect in the traditional model. Then, the rebar element representing force transmission under impact load is created in the pre-constructed rubber matrix grid, and the rebar element is coupled with the rubber matrix. The simplified coupled model can accurately capture the anisotropic stiffness, main force transmission path and reinforcement effect of the cord-rubber composite structure, so as to finally stably and accurately simulate the transient impact process of the tire under heavy landing impact load, which includes the triple nonlinearity of geometry, material and contact.

The present invention provides a walking evaluation apparatus (10) including: a position information acquisition unit (12) that acquires position information indicating a current position of a user during a movement by walking; a traffic rule information acquisition unit (13) that acquires, from a storage unit (17) that stores traffic rule information indicating a traffic rule for each position, the traffic rule information indicating the traffic rule around the current position of the user; a determination material acquisition unit (14) that acquires behavior information indicating a behavior content of the user; a determination unit (15) that determines whether the traffic rule around the current position of the user is observed, based on the behavior information; and an evaluation unit (16) that computes an evaluation value of a way of walking by the user, based on the determination result.

The invention discloses a bridge damage identification method and system, and relates to the technical field of bridge damage identification, and the method comprises the steps: constructing a load-environment scene matching mechanism, enabling health reference modes to form a reference cluster according to scene classification, and carrying out the adaptive adjustment of a dynamic tolerance threshold value based on the discrete degree of the cluster, natural fluctuation of bridge health data in different scenes is accurately adapted, the problem that normal fluctuation is easily misjudged as damage due to poor adaptability of a traditional fixed threshold value is solved, and the accuracy of damage identification is improved; according to the method, manual intervention is not needed in the whole process from transient event screening, short-term verification, long-term tracking to damage confirmation, and automatic closed loop of data acquisition, feature extraction, trend fitting and logic confirmation is achieved. Compared with traditional manual detection, traffic interruption is not needed, normalized bridge health monitoring can be achieved, monitoring efficiency is improved, manpower and time cost is reduced, and real-time and continuous guarantee is provided for bridge structure safety.

The invention relates to the technical field of distributed streaming data processing and cross-domain processing logic dynamic reconstruction, in particular to a real-time data stream analysis method and system oriented to an automobile internationalization market, and the method comprises the steps: obtaining vehicle pure physical kinematics state data and preset system authorization original environment data; calculating and generating a transient symmetric key, encrypting original environment data into ciphertext data, and writing the ciphertext data into a memory buffer space; inputting kinematics data into a gradient descent optimization model, finely adjusting a feature conversion calculation graph weight matrix and an offset item, and outputting a new rule field matching operator path; reading a hardware clock period numerical value, injecting a ciphertext data tensor head to generate a routing mark, and guiding data to flow to a new operator path; and after path switching is confirmed, an overwriting instruction is sent to replace the transient symmetric key to be in an all-zero physical state, and a decryption restoration path of the residual ciphertext data is blocked. According to the method, the problem of feature data leakage or calculation interruption caused by feature conversion standard difference in cross-regional driving is solved.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing intent models and pre-request, multi-requestor device interfaces of mobile provider devices to generate pre-request transportation matches between mobile provider devices and mobile requestor devices. In particular, in one or more embodiments, the disclosed systems can utilize an intent model to detect a pre-transportation request intent from user interactions with an application of a requestor device. In some cases, based on detecting the pre-transportation request intent, the disclosed systems can provide a multi-requestor device interface on a provider device with a pre-transportation request indicator corresponding to the requestor device along with post-transportation request indicators for other requestor devices. In some implementations, in response to detecting a selection of the pre-transportation request indicator, the disclosed systems can provide for display on the requestor device, a pre-request transportation match corresponding to the provider device.

The invention discloses an electric vertical take-off and landing aircraft demisting one-dimensional and three-dimensional coupling transient simulation analysis method, and belongs to the technical field of CFD simulation analysis, and the method specifically comprises the steps: firstly, building a one-dimensional simulation model S1 and a three-dimensional CFD simulation model S2; thirdly, coupling simulation is established for the one-dimensional simulation model S1 and the three-dimensional CFD simulation model S2, real-time circulation interaction of simulation data of the one-dimensional simulation model S1 and the three-dimensional CFD simulation model S2 is formed, demisting transient analysis is carried out, and the evaporation condensation flow process of a water mist layer on the surface of the windscreen of the aircraft is simulated; and then, whether the demisting performance of the air conditioning system meets the design requirement or not is evaluated according to the demisting transient analysis result. According to the method, the simulation requirement of the vertical take-off and landing aircraft in the internal and external circulation demisting function can be met, the actual demisting process is simulated, and the accuracy of demisting transient simulation analysis is improved.

Method, system, device, and non-transitory computer-readable medium for data management. In some examples, a computer-implemented method includes: collecting a plurality of personal data sets continually; collecting a plurality of sensor data sets continually via one or more sensing modules; determining and continually updating one or more primary telematics inferences and one or more secondary telematics inferences; generating and continually updating a data profile; and listing and continually updating the data profile onto a telematics marketplace such that: the one or more primary telematics inferences is accessible by a first plurality of marketplace participants and a second plurality of marketplace participants, the first plurality of marketplace participants having a first subscription level and the second plurality of marketplace participants having a second subscription level; and the one or more secondary telematics inferences is accessible by the first plurality of marketplace participants and not by the second plurality of marketplace participants.

The application provides a trigger type vehicle identification and tracking method and device based on radar and vision fusion and a readable storage medium thereof, and belongs to the field of intelligent traffic perception. In view of the problems of time mismatch of existing radar and vision fusion and high consumption of full-time calculation power, the application acquires bimodal data; video frames are used as time anchor points, and the extracted video and radar features are fused to initialize radar and vision fusion transient features; within the video frame interval, the transient features are updated by using the high-frequency features of the radar; in the fusion update, the bimodal weight is adaptively distributed based on the local spatiotemporal feature change; the transient features are monitored, and the vehicle trajectory optimization is started as needed when the trigger condition is met. The application solves the problem of fusion of time-series heterogeneous features, greatly reduces the power redundancy, and is mainly used for accurate vehicle identification and tracking in the automatic driving and roadside monitoring scenes.

The present application relates to the technical field of escape route analysis, and discloses a dynamic three-dimensional escape route generation method based on a fire point, comprising: acquiring temperature data, smoke data, train state data and a three-dimensional space structure in a target site in real time, analyzing the preprocessed temperature data, smoke data and train data to obtain three-dimensional coordinates of the fire point and a fire situation-train coupling risk factor, and the target site being a subway station; capturing flow field changes through a three-dimensional transient wind flow field intensity atlas, and finally constructing a dynamic risk avoidance traffic atlas and generating an escape route in combination with regional smoke condition adaptive weight values and exit dynamic evacuation efficiency values, wherein the route generation process is real-time adaptive to dynamic changes of the flow field, smoke and personnel distribution, which ensures route safety and also takes into account evacuation efficiency, and effectively avoids route failure caused by flow field or smoke mutation.

The present invention relates to a 3D map view generation device provided in a vehicle, the device comprising: an interface unit for receiving sensing information collected from at least one sensor provided in a vehicle; at least one non-transitory memory configured to store executable instructions; and at least one processor configured to execute the executable instructions, wherein the processor: on the basis of driving information of the vehicle received through the interface unit, determines a range of a map area in which a 3D map is to be displayed; models virtual objects corresponding to buildings and roads located within the determined range; generates texture images to be tiled at preconfigured intervals and scales on side surfaces of a virtual building object corresponding to a building located within a predetermined distance from the driving vehicle; and tiles the generated texture images on the side surfaces of the virtual building object, thereby generating a 3D map in which side surfaces of virtual building objects within the predetermined distance from the driving vehicle are displayed.

Vehicles, methods, and non-transitory computer-readable media are disclosed, relating to receiving sensor data indicating a first characteristic of a fluid-operated system of a vehicle, estimating a second characteristic of the system, based at least in part on the sensor data and at least in part on a model representing a correlation between the first characteristic and the second characteristic, determining, based at least in part on the second characteristic, a state of the system; and controlling the vehicle based at least in part on the state of the system.

This invention relates to the field of thermal simulation technology for aircraft braking systems, specifically to a numerical simulation method for the temperature field of aircraft wheel brakes based on Ansys Workbench. The method includes constructing a three-dimensional geometric model of the braking system; defining the geometry, materials, and contact relationships of each component based on the three-dimensional geometric model and the operating conditions of the aircraft wheel brakes; writing APDL code based on the operating conditions of aircraft taxiing, takeoff, and landing, and the geometry, materials, and contact relationships of each component; setting boundary conditions according to typical braking conditions; simulating the braking conditions based on the written APDL code using the boundary conditions; and obtaining the temperature field distribution through transient thermal analysis. This invention, through the synergistic application of APDL command stream embedding and parametric analysis techniques, significantly improves the simulation model's responsiveness and predictive reliability in complex braking environments, providing important technical support for the thermal management design, life assessment, and structural optimization of aircraft braking systems.

The present application relates to the field of vehicle evaluation method, specifically relates to a kind of automobile crosswind stability dynamic evaluation method, comprising: the establishment target vehicle's automobile aerodynamics model and multibody dynamics virtual prototype model;Load instantaneous measured crosswind data, and calculate automobile transient aerodynamic force and aerodynamic moment;Load road information to calculate the vehicle transient dynamics response of multibody dynamics virtual prototype model;The aerodynamic load obtained and the dynamic response parameters are bidirectional data exchange in specified time step, and the calculation condition is updated in next time step, then the updated calculation condition is given to the fluid mechanics control equation and Lagrange equation, automobile aerodynamics and automobile dynamics dynamic coupling solution is carried out, the crosswind response data of vehicle changes with time is obtained, to dynamically evaluate the crosswind stability of car.The present application can truly reflect the change of automobile aerodynamic force and body motion posture under crosswind environment, and accurately evaluate the aerodynamic stability of high-speed automobile under crosswind environment.

The invention discloses a static comprehensive test device and method for an air bag restraint system, and belongs to the technical field of automobile safety system testing, and the method comprises the steps: S1, constructing a multi-dimensional heterogeneous test environment containing orthogonal dual-optical-path imaging and a physical sensing group; s2, executing microsecond-level time sequence adaptive calibration to obtain a system delay difference; s3, synchronously collecting the orthogonal dynamic projection and transient pressure of the air bag based on ignition triggering and delay compensation; and S4, obtaining an instantaneous volume through three-dimensional reconstruction, and performing phase correction and coupling analysis in combination with the pressure curve to realize quantitative evaluation of the airbag unfolding quality. According to the invention, it is ensured that the image frames recorded by the dual-optical-path imaging group are strictly aligned with the data points recorded by the gas pressure sensor at the physical moment, data dislocation caused by equipment response difference is significantly reduced, and an accurate time sequence reference is provided for fluid-solid coupling analysis.

The invention relates to a carrier-based aircraft dynamic boundary coupling simulation method and system based on a neural network model, and belongs to the technical field of computational fluid mechanics simulation. The method comprises the steps of training an engine neural network agent model based on test or simulation data; initializing a CFD model and obtaining initial flow information; cFD transient calculation is carried out, and air inlet channel outlet flow field parameters are extracted; inputting air inlet outlet parameters and time into the agent model, and predicting an engine boundary condition update value; the predicted value is given to a CFD corresponding boundary, and the geometric profile of the spray pipe is updated according to a preset rule or parameter back calculation; and carrying out loop iteration until the end. According to the method, real-time dynamic closed-loop updating of the boundary condition and the geometric profile of the spray pipe is achieved, the problems that in traditional simulation, the boundary is rigid, dynamic feedback is ignored, and efficiency and precision are contradictory are effectively solved, the authenticity and efficiency of simulation of the air inlet duct-engine coupling system are remarkably improved, and the method is suitable for temperature distortion prediction and safety evaluation.