42 results about "Transportation plan" patented technology

The invention relates to the technical field of internet-of-things encryption, in particular to a logistics in-transit data secure transmission system, which comprises a trajectory hash presetting module used for extracting longitude and latitude dotting data according to a logistics transportation plan, arranging the longitude and latitude dotting data according to a time sequence to generate a predetermined trajectory coordinate sequence, and transmitting the predetermined trajectory coordinate sequence to a database; and performing iterative hash operation on the predetermined track coordinate sequence in combination with a time slice index, and storing a check value output by the operation as a reference hash check chain. According to the method, the real-time reliability of each network node can be quantified, so that the evaluation result focuses on the recent behavior performance, finally, the low-trust node is moved out of the routing topology according to the dynamic score, and a safe and purified transmission link is actively constructed; according to the whole set of processing flow, security reinforcement is carried out on a path from a key generation source to data transmission, so that the confidentiality of data content is ensured, and the availability and integrity of data transmission are ensured by dynamically cleaning network infrastructures.

The invention relates to the technical field of supply and demand data matching, and discloses a supply and demand data dynamic optimization system and method based on a full life cycle, and the system comprises a decision module, a data analysis module, a supply module and a storage and transportation module. Analyzing the supply portal information and the appeal portal information in real time to obtain layout analysis data appeal information; evaluating and sorting the layout analysis data according to the appeal information to obtain a plurality of supply sorting tables; constructing an initial supply and demand plan according to the supply sorting table and the demand information, and inputting the initial supply and demand plan into a supply portal for rationality analysis to obtain dynamic adjustment data; the initial supply and demand plan is updated according to the dynamic adjustment data, the supply portal constructs a production list according to the target supply and demand plan, and the appeal portal generates storage data and a transportation plan according to the production list. According to the method, all data of the supply and demand parties are matched and optimized by constructing a full-period supply and demand management architecture, so that the supply and demand matching efficiency is improved.

The invention relates to the technical field of logistics data management and industrial cloud platforms, and discloses a logistics data management method and system based on a cloud platform. The method comprises the following steps: acquiring multi-source data and preprocessing the multi-source data to obtain a cleaned data set; processing the data by adopting a fuzzy logic algorithm to obtain an uncertainty quantitative index; when the index exceeds a threshold value, integrating the road condition and demand data based on a Bayesian network, and generating a prediction deviation correction value; a transportation plan is updated in real time, and an optimized route is obtained; a dynamic visualization report is generated after the decision accuracy is further verified; and finally, an adjustment instruction is output through closed-loop control. The method is especially suitable for transportation optimization of cold-chain logistics in complex scenes such as haze, and can effectively improve the accuracy and real-time performance of a transportation decision and the cargo fresh-keeping quality.

The application provides a multi-objective robust optimization method, system, storage medium and electronic equipment for production task planning of a multi-agent collaborative platform, and relates to the technical field of production task planning of a multi-agent collaborative platform. First, according to the production task planning resources of the multi-agent collaborative platform and a single-batch overseas order, a production task planning model with a manufacturing enterprise agent as the core is constructed under the premise of determining the sea transportation time. Then, an infinity norm ball uncertain set is designed for the sea transportation time of a large ship, a robust quadratic multi-objective model for cross-regional multi-agent production task planning is constructed, and the total delivery time deviation and total delivery cost multi-objective of the single-batch overseas order are optimized. The model considers the sea transportation plan prepared in advance by a shipping company agent and the long and uncertain sea transportation time. In addition, the model is converted into an equivalent model, a two-stage hybrid heuristic algorithm is designed for solving, and a reasonable and feasible production task planning suggestion is given for the single-batch overseas order.

The invention discloses a distributed purchase and inventory cooperative control system based on multi-agent collaboration, and relates to the technical field of purchase and inventory cooperative processing, and the system comprises an intelligent purchase unit, an intelligent inventory unit, a logistics transportation unit and a cooperative processing unit. The data acquisition unit is used for acquiring data and extracting features after the data acquisition is completed, the intelligent inventory unit is used for monitoring the inventory state, the logistics transportation unit is used for establishing a purchase transportation scheme, an inventory transportation scheme and an emergency scheme, and the purchase transportation scheme is used for planning a transportation mode and a transportation path during purchase. According to the invention, in the cooperative processing process, the corresponding purchasing scheme, transportation scheme and inventory scheme can be formulated according to the types of different materials, the accuracy in the implementation process is ensured, the emergency scheme is established to deal with the problems generated by abnormal conditions, and the stability in the control implementation process is improved.

Embodiments of the present application disclose a transportation planning method and device based on road freight. The method comprises: performing multi-dimensional parameter matching of a business attribute of a target order and each selectable rate rule to obtain a rule set; when there are at least two mutually conflicting candidate rate rules in the rule set, determining the priority of the mutually conflicting candidate rate rules according to a judgment factor to obtain an optimal rate rule with the highest priority; determining the freight amount of the target order, a target vehicle executing the target order, a target driver, and transportation information based on the optimal rate rule; writing the freight amount into the target order or a settlement document, and sending the transportation information to a target device; during the freight process, if a preset dynamic recalculation trigger condition is met, recalculating the freight amount of the remaining transportation mileage to obtain an incremental fee; taking the achievement of the freight target of the target order under the condition of minimizing the incremental fee as an optimization target, and updating and optimizing the transportation planning.

Embodiments of the present application provide an LNG marine transportation path planning data processing method, device and electronic equipment. The method comprises: obtaining decision reference data associated with LNG marine transportation path planning, the decision reference data comprising at least annual transportation plan data, ship data, route data, and port state data; constructing a mixed integer programming model and defining a target function and a constraint function associated with LNG marine transportation path planning in the mixed integer programming model; and outputting LNG marine transportation path planning data based on the decision reference data through the mixed integer programming model. The technical solution of the embodiments of the present application can improve the accuracy of LNG marine transportation path planning data processing.

The invention relates to the technical field of railway transportation management, aims to solve the problems of fragmentation of traditional railway transportation plan management data, low pre-judgment accuracy, cooperative imbalance and inaccurate feedback, and provides a railway transportation plan dynamic management method and system. The method comprises the following steps: multi-source heterogeneous data is subjected to edge preprocessing (sliding window filtering and LZ4 compression) and heterogeneous fusion and then is uploaded to an alliance chain evidence (delay is less than or equal to 3 seconds); bIM-GIS digital twinborn simulation is constructed, and an improved LSTM (the accuracy rate is greater than or equal to 92%) is used for pre-judging abnormity; evaluating the priority by combining double matrixes (demand urgency-resource constraint) with an analytic hierarchy process; performing game theory benefit weight and distributed particle swarm optimization scheduling; and performing hierarchical closed-loop feedback iteration. The system comprises a data fusion evidence storage module, a twinborn simulation pre-judgment module and a hybrid storage module. According to the invention, active pre-judgment and collaborative optimization of the transportation plan are realized, the data credibility, the pre-judgment precision and the management efficiency are improved, and interests of multiple parties are balanced.

The invention discloses an intelligent logistics management method based on multimodal transport digital development, and belongs to the field of logistics, and the method comprises the following steps: carrying out the digitization of the size of a cargo and transportation tool loading space before the transportation is started, building a database, and carrying out the digitization of the size of the cargo and transportation tool loading space; the data recorded in the database comprises cargo parameters and transportation tool loading space parameters; according to the technical scheme of the invention, based on the database, digital trial assembly is carried out on the to-be-transported goods through virtual simulation, and the method has the following beneficial effects: before the goods are transported, the digital trial assembly is carried out on the to-be-transported goods through virtual simulation based on the established database, so that a final transportation scheme is obtained. A transportation route, a transportation tool, a cargo loading position and a specific reinforcement scheme are determined before transportation, secondary loading and unloading requirements caused by load changing in the midway of transportation can be effectively avoided through preposed decision making, the loading and unloading operation complexity is reduced, the transportation time cost is reduced, and meanwhile the cargo damage risk is reduced.

This application provides a transportation plan generation method, apparatus, device, storage medium, and program product. The method includes: acquiring transportation status data associated with a first transportation plan; predicting the delay probability of the first transportation plan based on the transportation status data at time t; generating multiple second transportation plans through a transportation plan generation model when the delay probability is greater than a set first threshold, or when the first time corresponding to the maximum value in the probability distribution is later than a set second time; optimizing the transportation plan generation model based on the delay probability and transportation resource consumption of each of the multiple second transportation plans; generating multiple third transportation plans based on the transportation status data at time t using the optimized transportation plan generation model; and selecting a fourth transportation plan from the multiple third transportation plans. This application can reduce the delay probability of transportation tasks.

An information processing method by a transportation plan creation server includes: acquiring a transportation request including a desired boarding date / time of a new customer who desires to be transported by a vehicle; acquiring an existing transportation plan including a boarding date / time and a disembark date / time of an existing customer; calculating at least one of boarding delay time and disembark delay time indicating time delayed from at least one of a scheduled boarding date / time and a scheduled disembark date / time of one existing customer in the existing transportation plan by incorporating the transportation request into the existing transportation plan; and outputting at least one of the boarding delay time and the disembark delay time.

The invention relates to the field of intelligent management, and discloses a horizontal transportation automatic management system for combined transportation, which comprises a data acquisition module, a knowledge graph construction module, a transportation planning module, a transportation monitoring module, a transportation deviation identification module and a transportation regulation and control module, the railway station position information, the waterway port attribute information, the transportation tool state information and the cargo feature information are gathered into initial data of the railway-iron combined transportation network; constructing a knowledge graph; performing constraint reasoning in the knowledge graph to obtain an initial transportation plan of the transportation demand; state data of the combined transportation network after the initial transportation plan is executed are monitored in real time; evaluating a current transportation state and a plan deviation of the railway-iron combined transportation network, and traversing key influence entities and relationships in the initial transportation plan; dynamically adjusting the initial transportation plan, and automatically scheduling the molten iron combined transportation network; according to the invention, the efficiency of automatic management of horizontal transportation for combined transportation of iron and water can be improved.

The invention provides a material scheduling optimization method and a material scheduling optimization system. The method comprises the following steps: generating initial production plan information according to multiple pieces of material order information by utilizing a material production end; processing the initial production plan information and the production time plan information by using the material transportation terminal to generate initial transportation plan information and initial scheduling cost under the condition that the material production terminal interacts with the material transportation terminal; generating production sequence feedback information by using the material transportation end according to the material order information and the initial production plan information; generating new production plan information according to the production sequence feedback information and the initial production plan information by using the material production end, and generating new transportation plan information and new scheduling cost corresponding to the new production plan information according to the new production plan information; and under the condition that the new scheduling cost is less than the initial scheduling cost, determining the new production plan information and the new transportation plan information as target production plan information and target transportation plan information respectively.

The application provides a vehicle scheduling method and system based on intermodal circulation transportation, a medium and a product, and relates to the field of logistics transportation. The method comprises the following steps: planning an initial intermodal path connecting an existing transportation task node and a new transportation task node according to a transportation cost index; identifying an opportunistic battery swapping node in the initial intermodal path according to battery swapping station network data; calculating an opportunistic battery swapping cost generated by the vehicle deviating from the initial intermodal path to the opportunistic battery swapping node, completing battery swapping and returning to the path, and a necessary battery swapping cost generated by the vehicle abandoning battery swapping at the opportunistic battery swapping node and continuing to travel along the initial intermodal path until the power decreases to a preset threshold, so as to reach the nearest battery swapping station; and when the necessary battery swapping cost is greater than the opportunistic battery swapping cost, the corresponding opportunistic battery swapping node is added to the initial intermodal path to generate an intermodal circulation transportation plan. The method can reduce the comprehensive operation cost of the entire intermodal transportation cycle.

The invention relates to a purchase transportation decision-making method and system based on a construction progress, and the method comprises the steps: generating a BIM model component list needing to be purchased based on the construction progress of a WBS construction task, and driving an enterprise project structure to carry out the resource distribution, and obtaining an EPS business project to which each component in the list belongs; based on a WBS construction task, an EPS business project and a BIM construction space to which the component belongs, multiple constraints of purchase and transportation are constructed; on the basis of multiple constraints of purchase and transportation, a purchase and transportation optimization plan is obtained through a multi-objective optimization model, so that the storage cost consumed by purchase and transportation is minimized, and the transportation cost is minimized. According to the method and the device, a data chain of construction task-model component-resource scheduling is broken through by utilizing ternary mapping, and then a multi-constraint and optimization model is constructed, so that the storage cost and the transportation cost of purchase and transportation are effectively reduced, and the problem of how to improve the economic benefit of a purchase and transportation plan is solved.

The present application relates to the technical field of solid waste transportation data management, and provides a pollution solid waste transportation whole-process digital closed-loop management method and system, which establishes a transportation basic information database, creates transportation plans and transportation tasks based on the transportation basic information database, combines the exit information collected by the starting point barrier equipment, the transportation track collected by the GPS positioning equipment, and the on-site photo and scale photo identification results uploaded in the exit, weighing and unloading links, carries out associated processing on the time information, vehicle identification information and weight information in the transportation process, generates transportation metering records and digital accounts, can realize unified digital management of plans, execution, track, metering and records in the whole process of pollution solid waste transportation, improve the completeness and correspondence of transportation process information, and reduce the management cost and error risk caused by manual recording and paper circulation.

In this transportation plan creation apparatus, a train service plan creation means creates a train service plan on the basis of a planning condition. A railcar operation plan creation means creates a railcar operation plan on the basis of the train service plan. A crew operation plan creation means creates a crew operation plan on the basis of the railcar operation plan. An adjustment means adjusts the train service plan, the railcar operation plan, and the crew operation plan on the basis of user's preferences.

A system is provided.SOLUTION: A system comprising: means for automatically collecting information from social media or other information sources on a network based on a preset keyword when a disaster occurs; means for assessing reliability of the collected information and indicating the reliability in percentage; means for plotting the assessed information on a map and visually displaying a disaster-stricken situation; means for proposing a necessary rescue plan based on the disaster-stricken situation and presenting supplies, human resources, and a transport route necessary for rescue; and means for calculating an optimal physical distribution route based on real-time traffic information and making a transport plan for relief supplies.SELECTED DRAWING: Figure 1

This invention belongs to the field of emergency resource allocation technology, specifically relating to a method for allocating emergency resources in a power distribution network under extreme rainstorms. The method includes: collecting rainstorm event data; preprocessing the rainstorm event data to obtain a set of typical disaster scenarios and their corresponding probabilities; the set of typical disaster scenarios includes secondary disaster scenarios; inputting the set of typical disaster scenarios and their corresponding probabilities into a pre-constructed material demand model, which outputs a material reserve and cross-regional transportation plan; based on a pre-set emergency repair team capability profile model, outputting a plan for dividing emergency repair responsibility areas and allocating tasks; and obtaining an allocation plan based on the material reserve and cross-regional transportation plan, the responsibility area division, and the task allocation plan. This invention incorporates secondary disaster factors into typical disaster scenarios and clusters them, achieving rapid matching of material demands under typical equipment failures and typical disaster scenarios in the power distribution network by matching the probability of secondary disasters with equipment failure disaster scenarios.

1. Name of the product in this design: Graphical User Interface for Planning and Monitoring of Electronic Equipment. 2. Purpose of this design: To display images and graphics. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. For electronic devices, the rear view, left view, right view, top view, and bottom view are omitted due to conventional design. 6. Purpose of the graphical user interface: It is used for displaying and monitoring pipeline transportation plans and tank truck plans. In the main view, clicking any point on the curve below "Trend Analysis" will allow you to view the specific data for that point. Clicking the weather button in the upper right corner of the interface will allow you to view the weather. 7. Other situations requiring explanation: Other explanation: The gray-covered area in the view is the content screen.

The invention provides a girder transportation plan scheduling method and system considering storage and erection links, and relates to the technical field of bridge engineering precast girder plan scheduling, S1, collecting girder storage dynamic attenuation parameters, girder transportation road condition adaptive parameters and erection working condition parameters; s2, calculating an actual transport capacity threshold value according to the parameters collected in the S1, and obtaining a periodic total beam transport demand and the number of beam transport tools theoretically required by scheduling period calculation; and comparing the theoretical required number with the current number of the beam transporting tools, and generating a dynamic allocation instruction of the beam transporting tools. Through cooperation of the structures, compared with an existing method, the method has the following beneficial effects that firstly, dynamic collaboration of storage and erection links is realized, and the scheduling mismatch problem that when a beam slab needs to be erected, the shortest age is not reached or a working face is not erected in the beam storage beyond the longest age is effectively avoided; and 2, road condition self-adaptive adjustment of transport capacity evaluation is realized, and the dynamic deployment requirement of the beam transport tool can be accurately judged.

The application discloses a coal transportation scheduling method and system based on cloud computing, and relates to the technical field of transportation scheduling.The system is composed of a plurality of function modules, including: a data acquisition and fusion module, which collects full-chain data of coal production, transportation, storage, demand and external environment through a multi-source data acquisition terminal, and generates a standardized supply chain time series data set through preset semantic mapping rules and a dynamic adapter for adaptive analysis and semantic unification of different data sources; a supply chain constraint construction module, which performs multi-dimensional cleaning, correlation and feature extraction on the standardized supply chain time series data set through a cloud data fusion engine to obtain global feature data that can be used for modeling; and a cloud strategy adaptive optimization module, which takes the global feature data as input and outputs an optimal collaborative transportation plan based on an optimized supply chain collaborative scheduling model.

The invention belongs to the field of electric locomotive fault diagnosis, and discloses a multi-source checking method for vehicle-mounted LKJ temporary control parameters and LKJ temporary data, which comprises the following steps: accessing a railway operation and safety system, an operation unification system, a CTC / TDCS system and a TDMS system from a ground system; a train transportation plan, dispatching command information, a driver crew section, train working diagram planning information and the like are obtained to check data correctness, multi-source information reliable check is carried out on LKJ temporary control parameters and LKJ temporary data loaded in the LKJ through redundant network channels and transmission information media of different ways, and application safety of the LKJ is guaranteed.

This invention discloses an AI-based method and apparatus for early warning of production and transportation plans in cold chain logistics parks, belonging to the field of cold chain logistics management technology. The method includes: collecting multi-source heterogeneous data within the cold chain logistics park; performing business logic-based feature engineering on the multi-source heterogeneous data to construct multi-dimensional feature vectors; obtaining a pre-constructed validation set; calculating false alarm and missed alarm costs in real time based on current cargo attributes and operational status, and constructing a total expected business cost function; solving for the minimum point of the total expected business cost function to obtain the optimal dynamic early warning threshold for the current batch of goods; comparing the real-time probability value with the optimal dynamic early warning threshold, and generating and sending early warning information if the threshold is exceeded. This invention, through the synergy of cost-sensitive learning and cost threshold optimization, enables the early warning system to adapt to cargo value, minimize total business costs, reduce false alarms and missed alarms, and improve the safety and economic efficiency of cold chain logistics.

This application relates to a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for intelligent matching and coordination of railway transportation plans. The method includes: determining a multi-constraint intelligent matching model for railway transportation tasks, the multi-constraint intelligent matching model including a spatiotemporal coupled representation mechanism based on the task requirements and resource supply of the railway transportation tasks; establishing a planning coordination mechanism for railway transportation tasks based on the spatiotemporal coupled representation mechanism in the multi-constraint intelligent matching model; determining a railway transportation plan based on the planning coordination mechanism after the planning coordination mechanism passes cargo classification verification; and executing the railway transportation tasks according to the railway transportation plan after the railway transportation plan passes spatial feasibility verification of horizontal decomposition constraint rules and temporal feasibility verification of the vertical balance model. This method can improve the operational efficiency of railway transportation planning.

The application provides a mixed optimization method for semi-submersible ship module stowage, comprising the following steps: S1, constructing an expression of a target function of minimum cost of a semi-submersible ship project according to ship cargo port information and decision variables; S2, iteratively optimizing the target function by an ant colony algorithm to calculate an optimal cargo module stowage scheme of the target function; S3, generating a cargo module filling scheme of each carrying ship based on a residual matrix algorithm and the cargo module stowage scheme; and S4, establishing a port sequence set of the carrying ship according to the cargo module filling scheme, and finding and determining a minimum cost route in the port sequence set. The embodiment of the application optimizes each link in a semi-submersible ship project, so that the cost of the final overall scheme is minimized, and meanwhile, various constraint conditions in the semi-submersible project can be met, so that the loading and transportation plan is feasible.

The invention discloses a flexible packaging and intelligent stowage system for logistics transportation of automobile parts, and relates to the technical field of logistics information. The system comprises an order demand processing module, a flexible packaging scheme generation module, an intelligent stowage scheme generation module, a stowage scheme approval management module and a transportation plan and task list generation module. The method comprises the following steps: dynamically generating a differentiated packaging scheme and a first 3D visualization model through a hybrid rule engine and a multi-objective optimization algorithm; automatically generating a vehicle stowage scheme and a second 3D visual model by using a stowage engine with a physical collision detection and spatial constraint strategy; an examination and approval workflow is established based on a finite state machine to ensure that the scheme state is traceable; and finally, automatically generating a transportation task list bound with the digital operation instruction book. The problems that in a traditional system, a packaging scheme is rigid, stowage depends on artificial experience, examination and approval are disjointed and the like are solved, and the packaging utilization rate, the transportation stability and the full-process automation level are improved.

The present application relates to the technical field of cold chain logistics collaborative control, in particular to a logistics and preservation collaborative control method for fresh agricultural products, which first acquires cross-domain basic data such as fresh physiological properties, environmental time series, transportation plans and inventory states; secondly, homologous differentiation is carried out based on physiological characteristics, the environmental deviation is coupled with the physiological sensitivity coefficient to generate a preservation debt value representing the cumulative damage, and the damage benchmark is reduced by taking the remaining transportation time and the inventory counter-pressure as the space-time attenuation constraints to generate a dynamic debt capacity; then, the two are calculated in real time, the change rate is fused to construct a composite mismatch index to divide the mismatch level; finally, after the vehicle hardware boundary feasibility check, the micro-environment compensation or macro-logistics scheduling instruction corresponding to the level is output; the hysteresis of single environmental threshold control is avoided, and the predictive closed-loop stop-loss of micro-physiological damage and macro-logistics link is realized.

The purpose of the present invention is to make a production plan in consideration of transportation efficiency and transportation capacity constraints. This production / transportation plan creation apparatus comprises a transportation plan generation unit and a production plan generation unit. The transportation plan generation unit: creates a shipping candidate date of each order; creates transportation draft plans in each of which orders having the same shipping candidate date on the same route are bundled; calculates a vehicle type and the number of vehicles for each of the transportation draft plans; excludes a transportation draft plan for which a vehicle cannot be arranged; and calculates a transportation cost for a transportation plan for which a vehicle can be arranged. The production plan generation unit: creates production completion time limit information for each draft from the transportation draft plans; makes a production plan that is in time for the production completion time limit information of each of the drafts; and calculates a production / stock cost.

The invention provides an intelligent management method and system for a building material transportation plan, and relates to the technical field of transportation management, and the method comprises the steps: generating an initial transportation plan according to the historical order data of a to-be-transported building material; the method comprises the following steps: acquiring compartment gravity center data and mechanical wear data of a transport vehicle and biological characteristics of a driver in a planned driving process of the driver through an Internet of Things vehicle-mounted terminal; when the gravity center offset of the compartment gravity center data exceeds the gravity center safety range and the to-be-transported building materials are bulk materials, the compartment inclination angle of the transport vehicle is adjusted; when the mechanical wear data reach a preset wear degree, generating maintenance prompt information; when the biological characteristics accord with preset fatigue state characteristics, preset warning information is pushed to a transportation dispatching center, feedback information is received to adjust a driving shift table, an adjusted driving shift table is obtained, a final transportation plan is generated based on results of the steps, and the overall efficiency and intelligent management level of cross-regional road transportation are improved.