26 results about "Transportation distance" patented technology

The invention belongs to the technical field of port scheduling, and particularly relates to a container yard AGV scheduling method and system, and the method comprises the steps: S1, collecting and processing the data of a field environment; s2, setting a target function F according to the transportation distance D, the waiting time T, the weather influence W and the storage space storage factor C; s3, using an ant colony algorithm to optimize the transportation distance D and the storage space storage factor C; optimizing the waiting time T and the weather influence W by using a neural network; and S4, selecting a scheme with the minimum comprehensive objective function F according to the transportation distance D and the storage space storage factor C provided by the ant colony algorithm and the waiting time T and the weather influence W predicted by the neural network. The method has the advantages that different key independent variables are optimized through the ant colony algorithm and the neural network respectively, and optimization of the efficiency and stability of the whole dispatching system is facilitated. According to the method and the system, a brand new algorithm is constructed for a port environment, and real-time and dynamic optimization can be realized on path and resource scheduling.

The invention provides a waybill information processing method and system, a readable storage medium and a computer program product. The waybill information processing method provided by the invention comprises the following steps: acquiring waybill information of a plurality of to-be-delivered waybills; obtaining cargo feature information, a first distance and a second distance of the to-be-transported cargo according to the waybill information; performing weighting processing according to the cargo feature information corresponding to the to-be-delivered order, the first distance, the second distance and the corresponding weight to obtain a transportation route; wherein the first distance is a transportation distance between a shipper and a receiver of the to-be-shipped order; the second distance is a transportation distance between the receivers of the plurality of to-be-delivered orders; the weights are influence factors of the cargo feature information, the first distance and the second distance on the route planning.

The invention discloses a supply and demand allocation and transportation path optimization method for ardealite for filling in a region, which comprises the following steps: acquiring a to-be-allocated region of ardealite for filling, and establishing an ardealite supply and demand network directed graph in the region; on the basis of the network directed graph, constructing a supply and demand allocation and transportation path optimization model of ardealite for filling in the region; the optimization model comprises minimum transportation cost and maximum transportation flow; and iteratively searching the augmented chain by adopting a Ford-Fulkerson algorithm, searching an optimal path meeting the maximum transportation flow and the minimum transportation cost, and obtaining supply and demand allocation and transportation path optimization results of the ardealite for filling in the region. According to the method, the supply amount, the demand amount, the transportation distance, the transportation cost and the environmental constraint conditions of the ardealite are comprehensively considered, and an optimal allocation scheme and an optimal transportation path are generated by constructing a transportation allocation optimization model of the ardealite for filling.

The invention discloses a multi-target path optimization system and method for hazardous chemical substance road transportation, and the system comprises an optimization housing, and the interior of the optimization housing is fixedly provided with a path optimization system. Optimizing the Bayesian network model by using a Pearson chi-square test method and a Granger causal test method, and constructing a transportation accident consequence risk model by comprehensively considering accident severity, accident handling time, an accident influence area, accident road section population density and accident road section environment characteristic indexes; secondly, on the basis of dangerous goods transportation risk analysis, analysis is carried out according to the transportation distance, the transportation cost and simultaneous design cases; and finally, considering the finite rationality characteristics of decision makers, carrying out investigation and empirical analysis on the path planning principles and preferences of the dangerous goods transportation enterprises, effectively solving the multi-target dangerous goods transportation path optimization problem, and providing reference for the transportation line selection decision of the dangerous goods enterprises.

The invention provides a logistics management optimization method and system based on the Internet of Things, and relates to the technical field of logistics management. The method comprises the following steps: acquiring cargo order information of a plurality of cargo orders in a preset optimization time period; according to the delivery addresses, obtaining transportation routes and transportation distances of a plurality of cargo orders; in a plurality of transportation dates, obtaining weather forecast information of a plurality of cargo orders on the transportation route; according to the weather forecast information, the transportation distance, the cargo weight and the cargo quantity, determining a predicted transportation day number; obtaining the number of remaining days from the current date to the delivery date required by the client; determining a cargo emergency result according to the predicted number of transportation days and the number of remaining days; and according to the cargo emergency result and the order placing time, determining the cargo which is transported preferentially in a preset optimization time period. According to the method and the device, the cargo emergency result can be accurately analyzed, so that the cargo transportation sequence is optimized, and the logistics efficiency is improved.

The application discloses a kind of considering the earthwork intelligent deployment method of multiple material and multiple bid section cooperation, comprising: S1, obtaining engineering basic data;S2, according to trunk road network data and site barycenter data in construction site division information, generate full field transport distance matrix;S3, the excavation area is divided into different constraint control type;S4, to the filling section and excavation area that exist internal affiliation, execute section internal deployment;S5, based on full field transport distance matrix and the full field resource state after internal deployment, introduce multiple decision variables such as cross-section deployment variable, responsibility abandoned variable and associated material unloading point assignment variable, and construct mixed integer linear programming model;S6, solve mixed integer linear programming model, determine optimal earthwork deployment scheme;The application can not only realize the collaborative optimization of rigid instruction and full field deployment, but also can clearly define the management rights and responsibilities of each contractor, improve the operability of earthwork deployment scheme.

The invention discloses a high-speed workpiece carrying device for a large press interval of a press line. Comprising a mounting bracket, a lifting box body which is arranged on the mounting bracket and ascends and descends on the mounting bracket, and a feeding cross beam which is arranged at the lower end of the lifting box body and is in sliding connection with the lifting box body, the follow-up sliding plate is arranged at the lower end of the feeding cross beam and slides on the feeding cross beam, the adsorption device is arranged on the follow-up sliding plate and used for adsorbing workpieces, a follow-up sliding block is arranged between the lifting box body and the feeding cross beam, and the upper end of the follow-up sliding block is connected with the lifting box body in a sliding mode. The lower end of the follow-up sliding block is in sliding connection with the feeding cross beam, a gear is arranged in the middle of the follow-up sliding block, and racks meshed with the gear are arranged at the upper end of the feeding cross beam and the lower end of the lifting box body. And with the same transportation distance, the length of the cross beam is reduced, the weight is light, the processing and manufacturing cost is reduced, the width of the lifting box body is increased, the overall strength of the device is high, and the feeding precision is ensured.

A super-long multi-spiral tunnel slag shaft structure and excavation construction method relate to highway underground engineering construction technology, in particular, the specific layout of the spiral tunnel and its structural type and its excavation construction method. It has a tunnel main tunnel composed of several spiral tunnels. The key technology is to set up a slag shaft near the intersection of the upper and lower layers of the spiral tunnel. The upper part of the slag shaft is connected to the upper layer of the spiral tunnel through an upper flat tunnel, and the lower part of the slag shaft is connected to the lower layer of the spiral tunnel through a lower flat tunnel. The beneficial effect of the present invention is that by setting up a shaft structure, the present invention can effectively save the slag transportation cost generated by the slag discharge distance of the spiral tunnel. A single spiral tunnel can save about 1.5 kilometers of transportation distance, effectively improving the slag discharge efficiency during the construction period of the super-long multi-spiral tunnel.

The invention provides an assembly type lining segment scheduling method and system and a process progress management method. The scheduling method comprises the following steps: establishing a database containing lining segment information of a storage yard area and storage yard inventory information; calling a map API (Application Program Interface) based on the construction point coordinate and the demand type of the newly added demand, and screening out a candidate storage yard region set meeting the stock type and quantity constraint in the database; integrating a multi-path planning interface, and generating the minimum transportation distance and the shortest transportation time between the construction point and each candidate storage yard area; establishing a dynamic weight distribution model based on a dynamic priority rule, and generating a priority sequence of the candidate storage yard areas; and scheduling the lining segments based on the priority sequence. The problems that in the prior art, management of lining segments stacked in a storage yard is disordered, and lining segments of specific types are difficult to dispatch rapidly are solved.

The invention discloses a goods damage guarantee digital management method and a storage medium, and the method comprises the steps: receiving transportation task information which comprises a goods type and a transportation distance; weight distribution is carried out on the risk coefficient of the cargo type, the risk coefficient of the transportation distance and the historical cargo damage rate associated with the cargo type, a basic risk score is calculated in a weighted mode, and a guarantee insurance type is matched according to the basic risk score; within the matched guarantee insurance type quota range, calculating a recommended guarantee quota according to the risk score linear difference value; calculating a basic insurance premium according to the recommended insurance quota and the basic insurance premium rate; and adjusting the insurance premium according to the credit score and the member level of the driver, and generating and pushing a guarantee scheme based on the adjusted final insurance premium and the recommended guarantee quota. Weighted calculation is carried out through multiple factors such as the cargo type, the transportation distance and the historical cargo damage rate, the guarantee limit matched with the real risk is dynamically generated for the transportation task, and the accuracy of the guarantee service and the user experience are improved.

The invention relates to a freight distance calculation method and device and electronic equipment. The method comprises the steps of obtaining travel data of a vehicle; determining a plurality of stroke segments according to the stroke data, determining a current to-be-spliced stroke segment and a next to-be-spliced stroke segment from a splicing sequence of the plurality of stroke segments, and determining a target time threshold according to stroke end time of the current to-be-spliced stroke segment; and if the travel start time of the next to-be-spliced travel section is less than the target time threshold, splicing the current to-be-spliced travel section with the spliced travel section, and taking the next to-be-spliced travel section as a new current to-be-spliced travel section until a preset splicing end condition is met, thereby obtaining a final transportation distance mileage. Therefore, by screening and splicing the stroke sections, accurate calculation of the transportation distance is achieved, the starting point in the transportation process is effectively judged, the calculation result is closer to the actual vehicle using state, and parameters with more reference significance can be provided for design aspects such as whole vehicle oil tank matching and power chain matching.

This invention discloses a multi-objective vehicle routing optimization method that considers both loading rate and transportation mileage. The method involves: acquiring order data of orders to be delivered and vehicle rated load and current location data; constructing an order load feature vector based on cargo weight and volume; clustering orders according to load differences to form multiple order clusters; assigning an initial priority label to each order cluster; sorting the order clusters according to the initial priority labels; merging the order clusters based on their spatial location information and loading rate constraints to generate an initial vehicle route; constructing a multi-objective collaborative optimization route evaluation model to optimize the initial vehicle route, generating a set of alternative route schemes; and selecting the route scheme with the highest comprehensive score as the final route scheme output. This invention can effectively reduce scheduling complexity, improve vehicle loading and delivery efficiency, and enhance the stability and practical feasibility of route decisions.

The application relates to a double-evaporator system and a control method. Through the architecture of double-evaporator partition arrangement, a first evaporator directly corresponds to a driving area and a lower bunk area of a lower part of a cab, and a second evaporator directly corresponds to an upper bunk area of an upper part of the cab, so that the cold quantity transportation distance is shortened from the root, and the loss in the long-distance transportation process of the cold quantity and the coverage blind area are eliminated. Meanwhile, through the architecture of double-compressor parallel arrangement, the refrigeration power supply demand under different operation conditions of the vehicle is adapted, stable output of the cold quantity under full working conditions of driving, idling and parking is realized, the temperature difference between upper and lower areas of the cab can be controlled to be within 2 DEG C, the refrigeration response speed of the upper bunk area is improved, the pain point of insufficient refrigeration of the upper bunk area is solved, and the rest and driving comfort demand of drivers and passengers under a long-distance trunk logistics scene is fully met.

The utility model belongs to the technical field of transfer, particularly relates to a waste incineration waste residue transfer device, and aims to solve the problems that although dust pollution can be reduced, the transfer distance is short, the waste incineration waste residue transfer device is only suitable for being used in an incineration plant, and the using effect is not ideal. The top of the transfer box communicates with a feeding port, a sealing door is rotationally installed at the position of a box opening of the transfer box, a supporting base used for supporting the transfer box is fixedly arranged at the top of the transfer trolley body, and the feeding assembly is arranged on the transfer box and used for avoiding the dust raising problem caused by dumping of added materials. When in use, the transfer trolley is used for transferring waste residues, the transfer trolley is suitable for long-distance transfer, the feeding assembly is arranged for sucking the waste residues so as to avoid the problem of flying dust caused by dumping of added materials, the residue discharging assembly is arranged for conveniently discharging the waste residues, and the transfer trolley is convenient to use and high in practicability. And the dust falling assembly is arranged, so that the problem of dust produced by dumping and discharging slag can be relieved.

In the present invention, on the basis of transportation reservation information, transportation performance information, and event information of a transportation target area, the number of reservations for each time segment in a predetermined period following the present time is predicted for each point in the transportation target area, transportation time required for transportation between respective points is predicted on the basis of traffic information, arrival time at which transportation equipment for which an instruction for the transportation has already been output will arrive at a destination thereof is predicted on the basis of the transportation time, the number of units of the transportation equipment that can be used at each point is predicted for each time segment, the time required to handle the reservations and transportation distance of the transport equipment handling the reservation are predicted on the basis of the predicted number of reservations for each time segment at each point, and the number of available units of transportation equipment, a plan for the transportation is created using an objective function in which the required time and the transportation distance are evaluation indices, and transportation instructions are output to a plurality of units of the transport equipment, and also a mobile terminal of a customer is notified of the schedule.

The invention discloses a route planning method suitable for a vehicle distribution task with uncertain driving time based on an evolutionary multi-task framework, which is applied to a vehicle distribution task consisting of a single warehouse, a task node with distribution time limitation and an undifferentiated vehicle with capacity limitation. The method comprises the following steps: 1, establishing a vehicle distribution task model; 2, generating an original task population meeting the uncertain driving time constraint and an auxiliary task population not meeting the uncertain driving time constraint; 3, generating a next-generation original task population and a next-generation auxiliary task population by adopting a dynamic interaction strategy; 4, updating the current-generation elite archive to obtain a next-generation elite archive; and 5, if a termination condition is met, generating a current optimal path planning scheme, otherwise, returning to the step 3 for execution. According to the method, the evolutionary multi-task framework can be utilized, so that the route planning scheme of the uncertain time vehicle distribution task can ensure that the total transportation distance is short, and can ensure that the constraint of uncertain time can be met in various scenes.

The invention relates to the technical field of power transmission line engineering cost, and discloses a construction site transportation distance calculation system and method, computer equipment and a storage medium, and the system comprises an import analysis module and a transportation distance calculation module connected with the import analysis module; the import analysis module is configured to import a target format file according to an import statement in the script file; analyzing the target format file according to an analysis statement in the script file to determine transportation path information; transmitting the transportation path information to a transportation distance calculation module according to a first interaction statement in the script file; the transportation path information comprises information of a plurality of strain sections and road information and terrain information in a preset range of the to-be-constructed line; and the freight distance calculation module is configured to determine a target manpower freight distance and a target vehicle freight distance of the to-be-constructed line according to the transportation path information based on a freight distance calculation statement in the script file. The efficiency of transportation distance calculation can be improved, and errors are reduced.

To provide a logistical assistance device with which it is possible to visualize CO2 emission reduction effects in logistics transportation and assist in verifying decarbonization effects.SOLUTION: A logistical assistance device 2 comprises: a transportation information acquisition unit 211 that acquires present transportation information; a transportation information generation unit 212 that generates improved transportation information on the basis of the present transportation record information; a transportation distance calculation unit 213 that calculates a transportation distance for article transportation on the basis of the present transportation information, improved transportation information, and travel distances regarding transportation; an environment related information calculation unit 214 that calculates CO2 emissions in each of a plurality of transportation modes, on the basis of the present transportation information, improved transportation information, and transportation distances; and an information presentation unit 215 that generates output information including CO2 emissions in each of the plurality of transportation modes and a written report that indicates CO2 emission reduction effects, and presents the output information and the written report. The improved transportation information includes information in which article transportation means and collection-delivery means are customized for each customer.SELECTED DRAWING: Figure 2

The embodiment of the invention provides a multi-target multi-crown-block scheduling method based on dynamic priority conflict resolution, and belongs to the technical field of control, and the method specifically comprises the steps: 1, obtaining historical data; 2, calculating the correlation degree of each task according to historical data, dividing each task into different priorities according to the correlation degree, and designing corresponding delay penalty functions according to the different priorities; step 3, taking minimization of completion time, delay penalty and passive transportation distance as optimization objectives, and constructing a multi-objective multi-crown-block scheduling optimization model; 4, based on the dynamic priority of the time window constraint calculation task, forming a comprehensive evaluation method of conflict resolution, and establishing a simulation model according to the comprehensive evaluation method; and step 5, based on the simulation model, adopting an improved MOEA / D algorithm to solve the multi-target multi-crown-block scheduling optimization model, and generating an optimal scheduling track and a task allocation scheme of a plurality of crown blocks. Through the scheme disclosed by the invention, the scheduling efficiency and accuracy are improved.

The invention discloses an intelligent application and payment method and system for special fees in a transportation process, and the method comprises the steps: carrying out the automatic charging processing of a processing application of dispute fees according to the emptying fees and vehicle guarantee fees of a driver who proposes the processing application, according to the positioning data of the driver, and in combination with a business rule corresponding to the dispute fees; and on-line automatic processing is carried out on dispute fees according to an automatic charging result. According to the method, the problem of online processing of special expenses generated by behaviors such as emptying, escorting, cargo weight increase and transportation distance increase in the transportation process of a carrier is solved, and the shipping processing time is accelerated; therefore, the quantity of customer service for asking for help by shipping is reduced, and new technical enlightenment is provided for the development of an online freight platform.

The utility model relates to an auxiliary device for earth-rock blending, and belongs to the technical field of earth-rock engineering. Comprising a machine body, a mounting base fixed to the bottom of the machine body, a bottom plate fixed to the bottom of the mounting base, four moving wheels fixed to the front face and the back face of the bottom plate correspondingly, and an automatic deploying and cleaning mechanism installed in the machine body and used for automatically deploying and cleaning the machine body. The moving assembly is installed at the top of the machine body and used for achieving the moving effect, and the automatic blending and cleaning mechanism comprises a blending and cleaning assembly which is installed at the bottom of the machine body and used for achieving the automatic blending and cleaning effects. According to the auxiliary device for earthwork allocation, transported earthwork can be effectively weighed in real time, key data such as loading and unloading time and transportation distance of each time can be recorded, the interior of the compartment can be conveniently, automatically and effectively cleaned, and the practicability of the auxiliary device for earthwork allocation is improved.

A transportation system includes a plurality of transport vehicles and a controller configured to assign a transportation command to the transport vehicles. The controller executes specific assignment processing to preferentially assign the transportation command having a relatively short transportation time or transportation distance to the transport vehicles.

Efficiently transport long-distance cargo without increasing the driving distance per driver. [Solution] The transportation management device acquires a first estimated arrival time of a first moving body transporting a first package and a second estimated arrival time of a second moving body transporting a second package at each transfer / relay point, and determines a target moving body for mutually transferring packages between the first moving body and the second moving body from among the second moving bodies whose second estimated arrival times are within a set time of the first estimated arrival time at each transfer / relay point.

The invention discloses a full-life-cycle management system and a full-life-cycle management method for multi-dimensional dynamic charging. The method comprises the steps that an RFID chip is embedded in a cargo, and identification information including the unique ID of the cargo, the category of the cargo and the purchase date is written in the RFID chip; scanning the RFID chip through a cargo binding terminal, and associating information of a customer to establish a cargo electronic ledger; when the goods need to be transported in a cross-land mode, starting point information and destination information of the goods are obtained, a path optimization algorithm is called, and waybill data containing the transportation distance are generated; constructing a corresponding feature vector based on a transportation distance, a time period coefficient, energy consumption data and a vehicle capacity reciprocal in the waybill data; inputting the feature vector into a machine learning model obtained through historical waybill data training, and outputting predicted transportation cost; and comparing the first product result with the predicted transportation cost, and determining the final transportation cost according to the comparison result, the first product result being the product result of the basic unit price and the transportation distance.

The invention discloses an intelligent detection method and system for long-distance driving safety of a large carrying vehicle. The intelligent detection method comprises the steps of obtaining a target carrying task, and allocating carrying difficulty levels to the target carrying task according to the cargo weight and the transportation distance; according to the carrying difficulty level, selecting drivers with matched levels from a preset driver alternative library; in the driving process, physiological characteristic parameters, driving behavior performance parameters and driving time environment parameters of a driver are obtained in real time and analyzed, when it is judged that the driver is fatigue, early warning is started, whether the driver is fatigue or not is judged again within a preset adjustment period, if yes, early warning is started again, and if not, circulation is ended; in the driving process, a test mode is set for analyzing whether the driver is fatigue or not, and if yes, early warning is started. The core pain points that hidden dangers are difficult to find, risks are difficult to pre-judge, supervision is difficult to achieve in real time and losses are difficult to control in traditional transportation management are broken through, the livelihood requirements of life and property safety of people are guaranteed, the traffic transportation efficiency is improved, and high-quality development of the logistics industry is promoted.

To efficiently transport luggage to transport for a long distance, without increasing the travel distance for one driver.SOLUTION: A transportation management device acquires a first arrival scheduled time of first mobile bodies for transporting first luggage and a second arrival scheduled time of second mobile bodies for transporting second luggage at each transshipment point and each relay point, and determines a target mobile body for switching luggage with a first mobile body from second mobile bodies for which second arrival scheduled time is within a set time from the first arrival scheduled time at each transshipment point and each relay point.SELECTED DRAWING: Figure 2