37 results about "Transportation models" patented technology

The invention belongs to the technical field of substation locating and sizing in electric system planning, and relates to a fully automatic substation locating method considering geographic information. The method comprises the following steps of: (1) acquiring locating data, in which based on two-dimensional space load prediction, land blocks for locating are divided in combination with a land block vertex coordinate file for regions where substations can be built, the prices of the land blocks are input, and land block division is not performed on regions where the substations cannot be built; (2) applying a transportation model and a single median locating model to give an initial solution of substation distribution; (3) selecting related candidate land blocks of each subdistrict, in which a contour line principle is applied to screen land blocks to select candidate land blocks which need to be investigated; (4) applying the single median locating model which increases linear constraints of boundaries of the land blocks to analyze each candidate land block to find an optimum substation location of each subdistrict; and (5) performing iterative calculation until the precision requirement is met. The method can perform fully automatic locating based on land prices, and can automatically avoid the regions where the substations cannot be built.

The invention provides an air quality fast traceability forecast method based on a Lagrangian transportation model. The method comprises the steps that a mesoscale weather forecasting mode is used to simulate the meteorological field of a simulated area; according to the meteorological field requirements of the Lagrangian transportation model, key elements, which are output by a meteorological field simulation system, of the meteorological field are extracted, and the data format is converted; basic parameters of the Lagrangian transportation model are set; the space-time probability distribution of released particles in the meteorological field is calculated through the Lagrangian transportation model, and a particle probability distribution database is built; the space-time probability distribution of the released particles and a pollution source list in the simulated area are combined to calculate the potential source contribution distribution of pollutants; and finally, statistical simulation is carried out on the calculated pollutant concentration and the contribution of each industry to the pollutant concentration in the pollutant list. According to the invention, the air pollution source of an area and a city can be analyzed and forecasted, and the identification of the key area of pollution contribution and quick response demonstration of and pollution emission reduction measures can be realized.

The invention discloses an energy consumption perceptive virtual network mapping transportation model and algorithm. The two main steps of setting a virtual network mapping efficient energy-saving transportation model and setting a virtual network mapping minimum energy consumption algorithm are included. According to the features of the bottom layer network energy consumption, request quantity features of CPU resources and virtual network CPU resources are utilized, the energy-saving transportation unit price parameter, the bottom layer node CPU resource production quantity and the virtual node CPU resource consumption quantity are set, node and chain mapping constraint is added, the virtual network mapping efficient energy-saving transportation model is set, the virtual network mapping minimum energy consumption algorithm is designed, and the system energy consumption is lowered.

The invention discloses a method for analyzing an influence of transportation hub accessibility on competition of regional public transportation modes. The method comprises the steps of firstly, obtaining travel information in a regional passenger city side and between cities by use of a stratified random sampling survey method with arrival (departure) time as an important indicator for representing the transportation hub accessibility, and establishing a regional transportation travel database for passengers; secondly, constructing a regional public transportation mode selection behavior analysis model, calibrating model parameters, and researching whether the arrival time exerts an influence on the regional public transportation multi-mode selection behavior; and finally, researching a sensitivity analysis method of a regional public transportation mode selection probability for the arrival time in combination with each transportation model travel utility function and a selective probability expression, and revealing how the transportation hub accessibility influences competition of the regional public transportation modes. The method can provide a scientific decision-making basis for transportation hub site selection layouts and connection modes in the regional transportation system multi-mode cooperative process.

The invention discloses a transportation scene construction method, device and equipment and a storage medium. The method comprises the steps that true urban road network data is acquired; true transportation sample data is acquired; a transportation model is determined according to the acquired transportation sample data; and a needed transportation scene is simulated according to the urban road network data and the transportation model. By the application of the scheme, the transportation scene conforming to true conditions can be constructed.

The invention provides a railway travel route planning method and device based on a time dependence model, the method is combined with the actual condition of a Chinese railway network to modify a standard time dependence model, and the improved model can solve the problems of earliest arrival, least transfer, shortest travel time and the like in the Chinese railway network; an air-railway combined transportation model and an air-railway-ground combined transportation model are established based on the model; secondly, an improved time dependence model and a Dijkstra algorithm are used for solving the shortest path search problem of the China railway, the algorithm is accelerated by selecting a data structure of the Dijkstra algorithm and adopting an A * algorithm idea at the same time, and the algorithm efficiency is improved; and finally, the shortest path search algorithm is modified into a K-optimal path algorithm based on a backtracking idea to realize real-time solution of the problems of earliest K-optimal path arrival, least K-optimal transfer path, K-optimal path with the shortest travel time and K-optimal path with the lowest ticket price in Chinese railway network travelplanning.

The present invention provides a pressurized water reactor production isotope simulation method and system based on a pin-by-pin model. By establishing a geometry with the same geometric structure asa fuel rod and a target of each assembly in a reactor, the influence of the structure of the target piece on an activation calculation result is considered. Meanwhile, the calculation of the nuclide distribution of the target piece is combined with a transportation model, a thermal hydraulic model and a burnup model, so that the situation that the self-shielding effect of the target piece cannot be considered due to the fact that the target piece is calculated only through the burnup model at present and the influence of the target piece on the power and neutron flux of the area of the reactorafter absorbing neutrons are eliminated, and the calculation precision of the specific activity of the target piece is improved.

The invention discloses a sensor-network-based novel intelligent transportation model design method. The method comprises: according to an indicator function, road traffic volume collection, intersection delay time, and vehicle congestion prediction value are calculated to realize intelligent transportation guidance scheduling. According to the invention, the method has the following advantages: the system model is guided and scheduled by using a transportation performance indicator function; with introduction of the indicator function, credibility and guidance of system implementation are improved; and thus the method has the certain study value in realizing sensor-network-based intelligent transportation.

The invention discloses an intelligent terminal positioning based intelligent transportation system which comprises a global positioning system, terminal equipment, a wireless base station and a server. The global positioning system sends geographical location information data to the terminal equipment; the terminal equipment sends geographic position data and driving data information to the server through wifi and / or 3G; the server works out road information data according to a transportation model processing algorithm and feeds the information data back to the terminal equipment through a wireless router. By positioning of a traffic position on the basis of the intelligent terminal equipment, users can select traveling roads conveniently according to real-time traffic flow conditions of road traffic, so that traffic congestion can be relieved. The intelligent terminal positioning based intelligent transportation system has advantages that future traffic flow can be predicated according to regular traffic flow data, and other location based services, including gas stations and charging stations, on the intelligent terminal equipment can be adopted.

The invention discloses a self-transportation system for a flying drone, comprising: a flying drone module and a transportation model. The flying drone module comprises a centrally controlled interactive system, an identity identification system, a communication system, a speed / acceleration sensor, a GPS, an angular velocity / acceleration sensor, a motor driver and a console control. The transportation module comprises a freight loading and unloading system. The centrally controlled interactive system is interconnected with the centrally controlled system. The freight loading and unloading system is connected with the mechanical device of the centrally controlled system and the control system of the flying drone. According to the system of the invention, through a dispatching system, the automatic dispatching of tasks can be realized in real time. In addition, the processes of flight planning, taking off, landing and freight loading and unloading can be done without the guard of people, therefore, cutting the maintenance cost greatly.

The invention discloses a coal mine underground personnel and material dispatching method based on digital twinning, and the method comprises the following steps: S1, constructing a digital twinning model of a coal mine underground personnel and material dispatching system; s2, updating the digital twinborn model of the underground coal mine personnel and material dispatching system to obtain a real-time synchronous digital twinborn model of the underground coal mine personnel and material dispatching system; and S3, based on the real-time synchronous digital twinborn model of the underground coal mine personnel and material dispatching system, carrying out dispatching prediction by constructing a logistics model and a transportation model, predicting the personnel and material dispatching process of the target transportation system in the next day, and carrying out diagnosis and reasoning on the dispatching situation according to a prediction result in combination with an expert fault diagnosis system. And making an adjustment plan of the current scheduling strategy of the target transportation system. The method has the advantages that the defects that an existing coal mine underground personnel and material dispatching method cannot reflect the personnel and material dispatching process in real time, and the material demand prediction precision is not high enough are overcome; and the obtained scheduling result is analyzed and deduced based on the fed-back real-time data, so that the existing scheduling strategy can be adjusted in time, and the scheduling efficiency is improved.

The invention discloses a pollution vehicle scheduling method and system based on simulated annealing and branch cutting optimization. The method comprises steps: a transportation model is establishedaccording to acquired distribution parameters, and according to load parameters and the transportation model, a carbon emission model is established; a simulated annealing algorithm and a branch cutting algorithm is used to carry out optimization calculation on the transportation model, the carbon emission model and a preset capacity model of each vehicle to obtain the information of each distribution route; and finally, according to the distribution route information, pollution vehicle scheduling optimization is completed. Each related model is firstly established, the simulated annealing algorithm is then used to acquire an integer solution more quickly, the operation time of the integer solution is greatly reduced, and the calculation efficiency is improved; and the simulated annealingalgorithm is established to be used for generation of the best integer solution and improvement of an optimum solution in the branch cutting algorithm, the global optimization ability of vehicle scheduling is improved, and the vehicle scheduling arrangement can maximally reduce the carbon dioxide emission from vehicles.

The invention discloses a cargo handling method for a Baosteel-Haier supply chain. The cargo handling method comprises the steps that (1), a weight and area conversion model of Baosteel products is built; (2), a cost performance selection model is built; (3), cargos of Haier are merged and a set material model is built according to the inventory requirements of the Baosteel-Haier supply chain; (4), an intelligent cargo ordering model is built according to the weight and area conversion model built in the step (1), the cost performance selection model built in the step (2) and the set material model built in the step (3) on the basis of demanded quantity of materials calculated through material unit consumption and a yield plan; (5), according to the cargo ordering type in the intelligent cargo ordering model built in the step (4), an intelligent regular bus type transportation model is built. According to the cargo handling method for the Baosteel-Haier supply chain, the client requirements are taken as the starting point, the purpose of meeting the customer requirement and the purpose of selling the Baosteel products are achieved at the same time, inventory and logistics transportation costs are saved, logistics transportation management is simplified, and sound development of the Baosteel-Haier supply chain is ensured.

The invention discloses a purchase order combination method based on a nursery stock transaction platform, and the method at least comprises the following steps: obtaining all purchase orders of whichthe target selection is completed in the nursery stock transaction platform, and obtaining a transportation starting point and a transportation ending point, corresponding to at least one purchase variety marked as an order combination state, in the purchase orders; and calling an electronic map to construct an initial transportation model, selecting a transportation starting point in a first range and a transportation ending point in a second range from the plurality of first transportation routes, and combining and combining purchase orders to which the selected first transportation route belongs. According to the purchase order combination method based on the nursery stock transaction platform, calculation and order combination are carried out on purchase orders which are ready to be transported after bid selection is completed in the platform and do not have a transportation stage, nursery stocks in the purchase orders which can be combined for transportation are combined and combined, and the transportation cost is reduced. The invention further discloses a terminal for executing the method and a storage medium.

The invention relates to the technical field of logistics transportation planning, and discloses a multi-vehicle-type logistics transportation planning method, which comprises the steps of analyzing logistics transportation planning elements, and constructing a multi-vehicle-type logistics transportation model; determining a logistics planning objective function and constraint conditions according to the multi-vehicle type logistics transportation model; performing optimization solution on the logistics planning objective function by using a conjugate gradient algorithm to determine an optimal solution; and taking the optimal solution obtained by solving as a logistics transportation strategy of multiple vehicle types. According to the method, the multi-vehicle-type logistics transportation model is constructed based on the logistics transportation cost, the transportation distance and the average loading rate of the vehicles, the target function of the model is optimized and solved by using the conjugate gradient algorithm, and the optimal solution obtained by solving is used as the multi-vehicle-type logistics transportation planning strategy. The finally realized logistics transportation planning strategy ensures that the logistics transportation cost is minimum, the transportation distance is shortest and the average loading rate of vehicles is highest.

The invention discloses a method and a device for analyzing water transportation of plants and soil of urban green lands. The method comprises the following steps of: acquiring a soil parameter, a plant parameter and driving data, wherein the soil parameters comprise all soil-layer thicknesses, and the plant parameter comprises rate between the crown breadth and the root breadth, and the driving data comprises rainfall precipitation; carrying out operation on the soil parameter, the plant parameter and the driving data by adopting a water transportation model of the plants and the soil of the urban green lands; and obtaining the quantities of states and the quantities of processes, and predicting water consumption and proper irrigation water requirement of the plants of the urban green lands, wherein the quantities of states comprise water content of all layers of soil and water-holding capacity of the canopy layer, and the quantities of processes comprise water-absorbing capacity of root systems of all the soil layers, evaporation capacity of the soil, evaporation capacity of the canopy layer and water flux of the soil. The device and the method are high in accuracy, are used for analyzing the water transportation process of the plants and the soil of the urban green lands and provide a solution for calculating the water requirement and the water irrigation capacity of an urban compound community system.

The invention relates to a modified model for evaluating iron biological effectiveness in foods and an establishment method thereof. The model comprises a model structure, cell types and evaluation indexes; an insertion slot is formed in the model structure, and a Caco-2 cell culture position is arranged on a basement membrane of the insertion slot; and the model structure is provided with a top side chamber and a substrate side chamber. The iron absorption and transportation model is similar to a human intestinal absorption structure on the model structure, can simulate the iron absorbing process of a human body and iron transportation and metabolism characteristics of the human body, and overcomes a defect that the conventional model is limited to iron concentration of a sample to be detected.

The invention discloses a gas-liquid two-phase flow phase interface density calculation method, device and equipment and a storage medium. The existing method for calculating the phase interface density by adopting an algebraic phase interface density model or a phase interface density transport equation has the problems of poor precision and poor applicability. According to the invention, a large number of drift velocity models developed for different channel structures and flow forms are introduced; on the premise of high completeness and high precision of the drift velocity model, the phase interface density model obtained by using the drift velocity model has relatively high precision; the applicability to different channel types and flow patterns is realized; the invention has good applicability to complex flow patterns such as elastic flow, stirring and mixing flow, annular flow and the like in horizontal or vertical round pipes and rod bundle channels. The defects of poor precision of transition simplification of an algebraic model and poor applicability of a phase interface transportation model are overcome.

The invention provides a method for analyzing the influence of plume of a cooling tower on nuclear waste gas concentration distribution on a nuclear island. The method comprises the following steps of: building a calculation domain according to relative positions and geometric sizes of the cooling tower and a high-altitude chimney on the nuclear island; building a calculation grid of a calculation domain; in the calculation domain, presetting environment wind speed and turbulent intensity at different heights; acquiring nuclide decay source items; building a three-dimensional turbulent transportation model in the calculation domain; setting a boundary condition of the calculation domain; solving the three-dimensional turbulent transportation model according to the preset environment wind speed and the preset turbulent intensity at different heights, the nuclide decay source items and the boundary condition, and obtaining nuclear waste gas diffusion concentrations on the nuclear island at different space positions and different moments; and when the nuclear waste gas diffusion concentration is greater than a preset concentration value, reducing the nuclear waste gas discharging speed of the high-altitude chimney on the nuclear island. Compared with the conventional method, the diffusion situation of the nuclear waste gas around the nuclear island can be accurately reflected; and the air quality around the nuclear island can be guaranteed.

The invention discloses a carbon nanotube field effect transistor (CNTFET) with a peak-symmetric linearity doped structure. A transportation model applicable to the CNTFET with the peak-symmetric linearity doped structure is constructed, and by means of the model, the influence of a HALO-Linear doping strategy on electrical properties of the CNTFET is analyzed and calculated. Through contrastive analysis of electrical properties of CNTFETs using other doping strategies, the CNTFET with the peak-symmetric linearity doped structure has a higher switched current ratio, lower leakage current, a smaller subthreshold amplitude, higher cut-off frequency and shorter delay time, that is, the CNTFET using the HALO-Linear doping strategy has better grid-control capacity and better switching characteristics and is capable of effectively inhibiting a short-channel effect and a hot carrier effect.

The invention discloses a method for establishing an energy transportation model. The method comprises the following steps: obtaining energy transportation data of each energy transportation assembly in an energy transportation network; based on the energy transportation data of each transportation assembly, generating a corresponding energy transportation cost matrix, an energy transportation capacity matrix, an energy sales output vector, a median capacity vector of an energy transfer station and a purchase input vector; and establishing an energy transportation graph network model according to the energy transportation cost matrix, the energy transportation capacity matrix, the energy sales output vector, the median capacity vector of the energy transfer station and the purchase input vector. Through mathematical modeling, a graph network model associated with an energy production plant, an energy transfer station and an energy user is established to establish a transportation relation path of the energy production plant, the energy transfer station and the energy user, and an energy transportation path with relatively low transportation cost or minimum transportation cost is determined through model solving, so that the minimum transportation cost is realized, and the energy sales profit is improved.

The invention discloses a method and a device for determining the positions of straw collection and storage points around a biomass power plant, electronic equipment and a storage medium. The method comprises the following steps: constructing a biomass power plant raw material collection and transportation model; using the model to construct an optimization function including the relationship among the straw collection and transportation cost, the number of the first storage points and the harvesting radius of the first storage points; solving the optimization function to obtain the number of the first storage points and the optimal value of the harvesting radius of the first storage points; according to the number of the first storage points and the optimal value of the harvesting radius, determining the positions of the first storage points and the second storage points in a circular area based on the biomass power plant raw material collection and transportation model. The fuel collection range of the biomass power plant can be optimized, the power generation cost is reduced, and the power generation efficiency is improved.

The invention discloses a multi-microgrid flexibility improvement method based on mobile energy storage, and belongs to the technical field of microgrids. Calculating confidence intervals of fan and photovoltaic output; establishing a risk assessment model considering wind and light uncertainty; establishing a mobile energy storage transportation model considering truck transportation time and blocking delay; establishing a multi-microgrid optimization operation model based on mobile energy storage; and solving the multi-microgrid optimization operation model to obtain a configuration scheme of a mobile energy storage position and charging and discharging power and a dispatching scheme of a diesel generator, a fan and a photovoltaic device. According to the method, the problem of insufficient flexibility of the system in an environment with uncertain wind and light resources can be effectively solved through a coordinated operation strategy, and a configuration scheme of a mobile energy storage position and charging and discharging power and a scheduling scheme of a diesel generator, a fan and photovoltaic power are determined.

The invention provides a method for determining architecture parameters of a gas field gathering and transportation system and a related device. In the method, in the process of determining the outputresult of the gas field gathering and transportation model, adding the parameters representing the environmental information of the target area into the non-target control parameters; that is to say,it is possible to obtain a product, when the parameter value of the target control parameter is calculated; the influence of environmental information of a target area for building the gas field gathering and transportation system is considered; further, the solved parameter value of the target control parameter better meets the environmental requirements of the target area; the target control parameters are parameters used when the gas field gathering and transportation system is built in the target area; furthermore, the gas field gathering and transportation system built according to the target control parameters is higher in matching degree with the environment and lower in probability of safety accidents, so that the safety of the gas field gathering and transportation system is higher, and the probability of natural gas leakage and environmental pollution caused by the safety accidents of the gas field gathering and transportation system is lower.

The invention relates to the field of pollutant detection, and provides an estuary region pollutant drift and diffusion prediction method and system, and the method comprises the steps: S1, obtaining pollutant concentration background field data, wind field background field data and river monitoring data of an estuary region; s2, predicting the river monitoring data through deep learning to obtain pollutant concentration; s3, predicting the river monitoring data to obtain predicted flow; s4, the predicted flow and the wind field background field data are input into the wind wave flow coupling model, and atmosphere drive and flow field drive are obtained; and S5, inputting the pollutant concentration background field data, the flow field drive, the atmosphere drive and the pollutant concentration into the pollutant three-dimensional transportation model for prediction, and obtaining an estuary region pollutant drift and diffusion prediction result. According to the method, the prediction efficiency and quality are fully considered, the speed and accuracy of the pollutant three-dimensional transportation model can be further improved in combination with the wind wave flow coupling model, and the timeliness and accuracy of estuary region pollutant drift diffusion numerical prediction are effectively improved.