17 results about "Transportation simulation" patented technology

The invention discloses a supercritical carbon dioxide pipeline transportation simulation method and device. The method comprises the following steps: acquiring physical property data of the supercritical carbon dioxide pipeline; correcting the unit of the physical property data; obtaining a preset steady-state calculation formula; correcting a partial derivative formula in the preset steady-state calculation formula to obtain a corrected steady-state calculation formula; and inputting the physical property data after unit correction into the corrected steady-state calculation formula, and carrying out steady-state calculation so as to realize static simulation of supercritical carbon dioxide pipeline transportation. According to the scheme provided by the invention, by correcting the physical property unit in the steady-state calculation formula and correcting the partial derivative formula of the unit mass flow rate of the energy equation part in the steady-state calculation formula on the fixed distance, the correctness of steady-state data of supercritical carbon dioxide during pipeline transportation is ensured.

The invention discloses a container connection transportation path planning method based on deep reinforcement learning, and the method comprises the steps: building a mixed integer nonlinear programming model with the minimization of the total fuel consumption of all trucks as a target according to a container connection transportation system, performing linearization processing on the mixed integer nonlinear programming model to obtain a mixed integer linearization programming model; the method comprises the following steps: taking a container connection transportation path planning problem as a Markov decision process, and carrying out reinforcement learning training on a deep reinforcement learning network based on Transform in a container connection transportation simulation environment based on a deep reinforcement learning algorithm of Transform to obtain an optimal deep reinforcement learning network; and realizing container connection transportation path planning through the optimal deep reinforcement learning network. The method solves the problem that the existing method cannot effectively capture the structural features of the transportation process, limits the decision-making quality and generalization ability in high-dimensional and other complex scenes, and further causes the low container connection transportation efficiency.

Embodiments of the present application provide a kind of goods transport simulation method, device, electronic equipment and storage medium, related simulation modeling technical field, method includes: in response to the simulation configuration instruction for configuring the flow control strategy of goods transport in target scene, display first interface;First interface includes start simulation button, and the strategy configuration option of flow control strategy;In response to the strategy configuration instruction for strategy configuration option, flow control strategy is generated according to the trigger condition and target port indicated in strategy configuration instruction;In response to the start simulation instruction for start simulation button, according to the flow control strategy that has been configured in first interface, goods transport simulation is carried out to target scene, and second interface is displayed;Goods is transported between each entity in second interface, can realize according to flow control strategy, the simulation of goods transport process of warehousing logistics scene is carried out, realize the flow control of goods transport, improve the efficiency of goods transport.

This invention discloses a method for transporting tall, long arch ribs on complex mountain roads. The core process includes road surveying and transportation simulation, a proportional arch rib transportation passability test, precise loading and locking of the arch ribs and installation of attitude monitoring devices, transportation along a preset trajectory and point-of-care inspection, and three-level graded acceptance and control. This invention employs a self-righting, low-center-of-gravity counterweight vertical transport scheme, equipped with prefabricated tooling that can adapt to longitudinal slopes and small-radius turns, and features a gravity balance sensor to automatically adjust the arch rib attitude. A dedicated braking system is customized for the transport vehicle. This invention effectively lowers the transportation center of gravity and road traffic requirements, reduces road widening projects, saves costs, protects the environment, solves the problem of transporting tall, long arch ribs on complex mountain roads with steep longitudinal slopes and small-radius turns, improves transportation safety, avoids arch rib deformation and damage, and ensures construction quality.

The invention provides a low-altitude airspace division method for a short-distance transportation scene, relates to the technical field of aircraft control and low-altitude airspace planning, and solves the limitation problem that an existing low-altitude airspace division method for the short-distance transportation scene lacks aircraft performance condition constraints and the like. The method comprises the following steps: establishing an operating environment model according to the real terrain, scene requirements and operating environment constraints of a divided area; combining the operation environment model with an aircraft control theory to construct an aircraft low-altitude short-distance transportation simulation model; carrying out rolling solution on the low-altitude short-distance transportation simulation model of the aircraft by adopting an interior point method to obtain a simulation track of the aircraft; according to the operation environment constraint of the divided area, the simulation track of the aircraft is expanded, and a low-altitude airspace corresponding to the short-distance transportation scene is formed and serves as a division result. According to the method, the low-altitude scene requirement, the aircraft performance limitation and the operation environment limitation are fully considered, and the low-altitude airspace of the short-distance transportation scene is more scientifically and reasonably divided.

The invention belongs to the field of oil exploitation, and particularly relates to a three-phase flow gathering and transportation simulation system and a method for obtaining flow pattern, pressure and temperature heat gradients. The oil-gas-water three-phase flow gathering and transportation simulation system comprises an oil-gas-water flow control device, a three-phase mixer, a pulse generator, a constant-temperature box, a sensor and a pipeline, the pipeline is arranged in the constant-temperature box, an inlet of the pipeline is connected with an outlet of the pulse generator, and an inlet of the pulse generator is connected with an outlet of the three-phase mixer. An inlet of the three-phase mixer is connected with an oil-gas-water flow control device; the sensor is arranged on the pipeline. According to the device disclosed by the invention, simulation of various working conditions can be realized through cooperation of the oil-gas-water flow control device, the three-phase mixer, the constant-temperature box and the flow pulse generator; meanwhile, the characteristic information of the three-phase flow in simulation of various working conditions can be obtained through the arranged sensor, the characteristic information can be used for equipment model selection and determination of production control parameters, and the advantage of reducing cost is achieved.

Disclosed is a vehicle production system for managing the number of parts loaded on pallets of a logistics robot that transports parts to a plurality of work points of a smart factory, the vehicle production system including: a setting unit configured to set the number of parts loaded on each pallet, the number of parts loaded on each pallet being determined as a prime number smaller than or equal to the maximum number of parts that can be loaded on each pallet, and generate a plurality of combinations of the number of parts loaded on each pallet; and an analysis unit configured to select a replacement combination from among the plurality of combinations generated by the setting unit through transportation simulation of the logistics robot.

The invention relates to an energy transportation simulation deduction method and system based on digital twinning, belongs to the field of energy transportation digital simulation, and solves the problems of static model limitation, single deduction dimension, decision lag and tedious operation in existing energy transportation simulation. Comprising the following steps: constructing geographic information, transportation equipment and energy facility digital twinborn models respectively; establishing an energy transportation simulation scene through interactive operation based on geographic information, transportation equipment and an energy facility digital twin model; the simulation scene comprises oil depot point deployment, transportation line drawing, transportation equipment parameter setting, oil pipeline layout and special condition setting; deducing an energy transportation simulation scene based on set task planning and special situation data, and performing dynamic path planning and scheduling by adopting an intelligent optimization algorithm in the deducing process; and generating an energy guarantee scheme according to the deduction result. Dynamic and multi-dimensional energy transportation simulation deduction with real-time decision-making capability is realized, and the efficiency and safety of energy transportation are improved.

This application provides a method, apparatus, and control unit for evaluating the performance of optical fibers based on a simulated transportation system. The method includes: a control monitoring unit for monitoring first performance data of an optical fiber sample before vibration, wherein the optical fiber sample is packaged in a packaging simulation unit, and the packaging simulation unit is fixed to a vibration excitation device; setting vibration conditions for the optical fiber sample according to a preset transportation simulation environment; controlling the start of the vibration excitation device to vibrate according to the vibration conditions; during the vibration of the vibration excitation device, controlling the monitoring unit to monitor second performance data of the optical fiber sample during vibration; after the vibration of the vibration excitation device ends, controlling the monitoring unit to monitor third performance data of the optical fiber sample after the vibration ends; and performing performance evaluation processing on the optical fiber sample based on the first, second, and third performance data to obtain corresponding performance evaluation results, thereby improving the efficiency of optical fiber performance evaluation.

The invention discloses a rail transit transportation simulation method, system and device and a storage medium, and belongs to the technical field of rail transit, and the method comprises the steps: obtaining infrastructure data in a target transportation scene; acquiring a basic plant model from the 3D model library according to the actual plant appearance in the target transportation scene; generating a static road network file and a dynamic environment file corresponding to the target transportation scene through a scene editor according to the infrastructure data and the basic plant model; and according to the static road network file and the dynamic environment file, through a simulation engine, generating a target simulation result corresponding to the target transportation scene. According to the invention, the flexibility, expansibility and accuracy of rail transit transportation simulation are improved.

The invention relates to the technical field of concrete production management, in particular to a digital management method and system for concrete production. According to historical concrete production and transportation records, a mapping relation table of transportation parameters and concrete strength is constructed, a transportation simulation test is carried out, a mapping relation table of concrete strength and protection measures is constructed, a transportation route is selected by taking strength qualification as a principle, and a corresponding protection measure set is set. And then the state of the concrete is monitored in real time in the transportation process, and corresponding feedback is carried out. The influence of transportation parameters on concrete performance is analyzed, and reliable reference is provided during subsequent route selection, so that the stability and controllability of concrete in the transportation process are guaranteed, monitoring data can be effectively converted into quality intervention, the possibility of performance deterioration is reduced, meanwhile, the response capability to abnormal fluctuation is improved, and the stability and controllability of the concrete transportation process are improved. Sudden state changes can be effectively dealt with, the risk that the concrete quality is out of control is reduced, and therefore resource waste and transportation cost are reduced.

The invention discloses a material transportation system and an operation method thereof. The material transportation system comprises conveying equipment and a control device. The control device is used for operating the operation module and the material transportation simulation module. The operation module schedules the conveying equipment at the current time point to generate a plurality of pieces of transportation scheduling information, so that a plurality of materials generated by the plurality of production machines are respectively transported to a plurality of corresponding transportation places. The material transportation simulation module simulates the transportation situation of the conveying equipment at a future time point or in a future time period at the current time point to generate a simulation result, and provides the simulation result to the operation module. The operation module correspondingly adjusts the transportation scheduling information at the current time point based on the simulation result.

The invention relates to the technical field of traffic engineering, and aims to provide a BIM-based large cargo transportation trafficability simulation analysis method and system, so as to solve the problem that the transportation trafficability cannot be guaranteed or the cost is increased when a road is designed according to the size of a large cargo, especially in the design aiming at a tunnel environment in the prior art. The technical scheme can be summarized as follows: constructing a BIM model corresponding to large goods, a vehicle dynamics model of each transport vehicle and a BIM model of a transport route section, and in a three-dimensional implementation engine environment, according to the BIM model of each large goods, the vehicle dynamics model of the corresponding transport vehicle and the BIM model of the transport route section, establishing a BIM model of each transport vehicle; and obtaining a simulation scene, setting interaction and detection, carrying out a transportation simulation experiment, collecting transportation process data, and judging and feeding back the trafficability of each large cargo. The method is suitable for road design according to the size of the large goods.

The invention discloses a cableway transportation operation pre-permission and loading optimization method and system based on digital twinning and real-time simulation, a medium and a processor, and belongs to the technical field of cableway transportation safety and intelligence. The method comprises the following steps: constructing a cableway digital twinborn model and setting a safety threshold value; performing digital modeling and rule presetting on the materials and the transportation carriers; generating an initial loading scheme according to the task and loading the initial loading scheme into the model for full-dynamic transportation simulation; performing safety assessment based on the time sequence data output by simulation, and generating an electronic homework pre-license if the time sequence data passes the safety assessment; and if not, triggering intelligent loading optimization, and finally outputting a safe and feasible optimization scheme and a corresponding license through iterative optimization of a multi-objective optimization model. According to the method, high-precision safety pre-evaluation and automatic optimization of the loading scheme before cableway transportation operation are realized, and the operation safety, the loading efficiency and the management digitization level are remarkably improved.

The invention provides an open-pit-to-underground transportation simulation optimization method and system, and relates to the technical field of production decision making and optimizing.The method comprises the steps that a representative year is selected from an open-pit mining stage, an open-pit and underground combined mining stage and an underground mining stage according to a preset long-term plan; decomposing the long-term planning of each representative year into a plurality of short-term plans; constructing a plurality of production scenes by combining mine production characteristics corresponding to each representative year, production parameters contained in the short-term planning and a plurality of preset development transportation schemes; establishing a discrete simulation model based on the plurality of production scenes and pre-collected transportation equipment data and facility data; and for each production scene, multi-objective optimization iteration is respectively carried out, that is, the optimization model generates equipment scheduling information according to the current iteration state, and the discrete simulation model carries out simulation calculation according to the equipment scheduling information. According to the method, the economy and production stability of a transportation scheme developed in the transition stage can be improved.

The invention discloses a surface mine mining efficiency simulation optimization method, and belongs to the technical field related to mine mining digital management. The method comprises the following steps: acquiring surface data of a strip mine pit by using an unmanned aerial vehicle to generate a mining status plan; importing three-dimensional mining software to construct a geologic model and design a mining boundary; constructing a transportation simulation model based on VISSIM microscopic traffic simulation software, setting traffic rules and establishing a vehicle dynamic numerical model; calculating the running speeds and accelerations of the mine truck under different weather conditions, embedding the simulation model to run, and obtaining the vehicle output quantity per unit time; predicting the maximum excavation volume of the period, optimizing the mining position and updating the mining boundary; and through multi-cycle iterative simulation, summarizing the annual total mining amount, comparing with a design target, and dynamically optimizing vehicle and equipment resource allocation. According to the method, the dynamic simulation of the mining transportation system and the quantitative analysis of the climate influence are realized, the limitation of a traditional static model and experience management is overcome, and the accuracy of mining efficiency evaluation and the scientificity of resource allocation are remarkably improved.

The invention discloses a batch pollutant mesoscale atmospheric transportation simulation method, and solves the technical problems that an existing simulation method is low in calculation efficiency and is not suitable for rapid and accurate evaluation of multiple cases and multiple working conditions. The method comprises the following steps: preparing mesoscale meteorological simulation data and static topographic data of a simulation area; carrying out mesoscale meteorological field numerical simulation; marking pollutants released by the same pollutant source item at different moments as different species; determining the number of species needing to be marked; setting the release rate of each species at different moments; calculating atmospheric dispersion factors of different species at different moments; carrying out normalization processing on the atmospheric dispersion factor; calculating to obtain a concentration matrix with time sequence information of a pollutant source item; calculating pollutant concentration time-varying information of the pollutant source item at any moment in the simulation time period; and realizing batch pollutant mesoscale atmospheric transport simulation under different source item parameters according to the actual pollutant source item parameters.