139 results about "Stowage" patented technology

This invention provides a comprehensive maritime shipbroking platform uniting digital twin modeling, AI-driven cargo allocation, blockchain-based contract management, predictive maintenance (AR / VR), route optimization, real-time tracking, and single-window compliance. The digital twin engine continuously simulates vessel performance, enabling data-driven decisions on stowage, scheduling, and maintenance. A cargo-freight matching module optimally allocates shipments, factoring in market rates, vessel metrics, and port congestion. Blockchain-secured smart contracts automate negotiations, ensuring transparency and tamper-proof enforcement. A predictive maintenance system applies advanced analytics to diagnose technical issues early, while the route optimization engine finds cost-effective, emission-compliant routes. Real-time tracking gives stakeholders constant visibility, and the single-window interface integrates Electronic Bill of Lading processes, satisfying IMO and IG P&I standards. Additionally, a dynamic vessel ranking system incorporates SIRE, RightShip, PSC, and user feedback for safer, more efficient chartering decisions. The invention addresses day-to-day operational challenges in maritime logistics, elevating efficiency and compliance.

The invention discloses an intelligent assembly loading control system of a geotextile laying ship, and belongs to the technical field of ship intelligent control. According to the invention, through the intelligent stowage planning module, based on standardized scheme matching and an adaptive optimization algorithm, objectives of balanced material distribution, shortest conveying path and ship stress rationalization are realized, stowage precision is improved, and sailing stability is optimized; the operation scheduling and arranging module dynamically generates an efficient operation time sequence graph through real-time cabin state recognition, process decomposition, operation time sequence optimization and remote cooperative control, precise scheduling is achieved, manual intervention is reduced, the automatic operation execution module is combined with real-time monitoring, abnormal early warning and intelligent feedback, the safety and adaptability of the operation process are ensured, and the working efficiency is improved. According to the method, loading deviation overrun and ballast abnormity are avoided, the decision-making capacity of the system is continuously optimized, manual operation errors are effectively reduced, the safety and economical efficiency of ship operation are improved, and green, energy-saving and efficient operation is helped to be achieved.

The invention provides an intelligent stowage method, device and equipment for a container ship, and belongs to the technical field of big data, and the method comprises the steps: obtaining container ship information and attribute information of containers needing to be loaded, and uniformly loading the containers into the container ship according to the stacking number, whether the number of the current to-be-loaded containers is smaller than the remaining stacking number or not is judged, and if yes, all the current to-be-loaded containers are loaded into the container ship; judging whether the storage position meets the constraint condition or not after being loaded; if yes, the positions in the container ship are coded, and an initialized population is confirmed; fitness values of all individuals in the population are calculated, genetic iteration operation is executed, and whether a termination condition is met or not is judged; and if yes, outputting the optimal stowage scheme, and by intelligently determining the stowage position and automatically outputting the optimal stowage scheme in combination with the genetic algorithm, compared with stowage based on artificial experience, the stowage method is more scientific and reasonable, and effectively reduces the occurrence of safety accidents caused by improper stowage.

The invention provides a container shipping stowage method and system based on a multi-stage optimization algorithm, is applied to the technical field of operational research and port logistics, and decomposes a complex stowage process into a plurality of optimization stages based on a four-stage mixed integer programming method. The method comprises the following steps: firstly splicing 20-foot boxes into 40-foot equivalent boxes, quickly locking a shipping space by taking the minimum box area-ship-shellfish connection number and weight deviation as targets, then eliminating vertical overweight and transverse unbalance layer by layer, and finally finely adjusting the shipping space through local neighborhood search, thereby reducing the box turnover rate and improving the dispatching efficiency. Therefore, higher efficiency, lower conflict rate and better process matching degree of container space distribution are realized, the adaptability and efficiency of actual wharf operation are remarkably improved while the safety of a ship structure is guaranteed, and intelligent, systematized and efficient development of a port operation system is promoted.

The invention discloses an intelligent scheduling system applied to passenger roll-on-roll-off ship vehicle stowage, and the system comprises a data collection module which is configured to collect the information of vehicles, passengers, ships and ports from different information sources in real time through a scheduling interface; the data preprocessing module is configured to preprocess the acquired information of the vehicles, the passengers, the ships and the ports; the portrait updating module is configured to construct a truck portrait and a passenger portrait, and update the truck portrait and the passenger portrait in real time based on the vehicle and passenger information collected in real time; the priority ranking module is configured to update and rank the vehicle priority in real time according to the real-time updating result of the truck portrait and the passenger portrait; the stowage decision module is configured to output a stowage scheme based on the ship digital twin model and the vehicle priority ranking result; and the visualization module is configured to provide visual display of the loading process of the ro-ro passenger ship.

The present disclosure provides a tray table assembly including a pouch configured to temporarily stow travel essentials during flight. The pouch is removably attached to the back of the tray table by way of a plurality of removable fasteners. The pouch includes inner and outer layers forming an interior space therebetween accessible through a top opening that may be zippered or otherwise closeable. In some embodiments, the pouch is constructed from soft material such as neoprene rubber, and at least the outer layer is made from mesh or translucent material such that the contents are visible to the passenger, so they are not forgotten and left behind.

The invention provides a floating dock lightering analysis method which comprises the steps that finite element models of a ship to be lighted and a bearing beam are established in finite element analysis software, the bearing beam is arranged on a bearing trolley and can move along with the bearing trolley, and a plurality of cushion blocks used for supporting the ship are arranged on the bearing beam; calculating the reaction force of each cushion block, and arranging the reaction force to form a reaction force distribution diagram; judging whether the bearing beam with the deformation degree exceeding the allowable standard exists or not; in the lightering process, a plurality of typical stowage working conditions are selected, overall stress analysis is conducted on the floating dock under the typical stowage working conditions, and a floating dock stowage scheme is determined; a finite element model of the floating dock is established, a plurality of typical stress working conditions are selected in the lightering process, and finite element analysis is conducted on stress distribution and deformation of the floating dock structure under the typical stress working conditions. According to the technical scheme, the calculation efficiency and simulation precision of the floating dock lightering process can be effectively improved, and the safety of the ship during floating dock lightering is better ensured.

The invention relates to the technical field of intelligent logistics and operation planning optimization, and discloses an import and export multimodal transport intelligent stowage service method based on a hybrid planning algorithm, which comprises the following steps: establishing an intermodal transport node operation impact database and an intermodal transport network diagram, and defining a node stacking operation state set; according to the force transmission attribute of the corner column of the container, the discrete stacking hierarchy is mapped into vertical pre-pressure, and the node working condition inherent frequency of the container-cargo combination is calculated through a pre-pressure and rigidity correlation model; in combination with node pulse dominant frequency data, constructing a response gain index including resonance interval intensity and parameter fluctuation sensitivity; and establishing a multimodal transport stowage optimization model, bringing the index into a target function, and carrying out collaborative solution on a cargo loading layout, a transport link and a node stacking level. Resonance risks caused by discrete stacking and lateral impact coupling can be effectively recognized and avoided, and a stowage scheme with high structural safety is output.

The invention discloses a large language model multi-agent end-to-end stowage method considering outbound equipment collaborative scheduling, which comprises the following steps: acquiring description data of a stowage task, and decomposing the stowage task into sub-tasks of multiple stages based on the description data; aiming at the first subtask, based on the description data of the first subtask, constructing a first model by utilizing a modeling agent, and generating a first code for solving the first model through a model code agent; aiming at the second subtask, based on the description data of the second subtask, constructing a second model by utilizing the heuristic intelligent agent, and generating a second code for solving the second model through the heuristic code intelligent agent; matching target codes from the first codes and the second codes according to the types of the sub-tasks, and executing the target codes according to the sequence of the sub-tasks to obtain a final container stowage plan. The method can meet the reality and feasibility and completely meet all complex requirements.

The invention relates to the technical field of information processing, in particular to a logistics distribution route planning method, device and equipment and a storage medium, and aims to automatically select straightening distribution or collection distribution according to the weight of goods by acquiring the weight information of logistics goods sent by a network terminal and selecting a distribution scheme according to the weight information. According to the invention, unnecessary transfer links are reduced, the time of cargo transportation is shortened, routing planning is carried out on logistics cargos which are distributed in a collection manner according to an allocation scheme to obtain a first route, actual transportation condition information of a transportation vehicle is obtained in real time, feedback adjustment is carried out on the first route according to the actual transportation condition information and a stowage strategy to obtain a second route, and the logistics cargos are distributed in the distribution scheme. The system can track and manage the vehicles in the transportation process, improves the intelligent degree, reasonably plans the transportation route, improves the overall efficiency of logistics distribution, reduces the vehicle no-load rate, saves the transportation cost, and improves the customer satisfaction.

The present invention suitably creates a stowage plan in accordance with work details. This information processing method comprises: a step for acquiring work information indicating goods to be shipped to a shipping destination; a step for calculating, on the basis of the work information, an initial solution that indicates stowage information indicating the goods to be allocated to each of multiple pallets and the stacking order of the goods in one of the pallets, and a stowage order indicating the order of stowing the pallets; a step for calculating, on the basis of the initial solution, an initial evaluation value indicating the degree of load of the shipping work in the initial solution; a step for calculating, on the basis of the initial solution, a neighborhood solution obtained by changing a part of the stowage information and the stowage order with respect to the initial solution; a step for calculating, on the basis of the neighborhood solution, a neighborhood evaluation value indicating the load degree of the shipping work in the neighborhood solution; and a step for setting the stowage information and the stowage order to be used for a stowage plan on the basis of the initial evaluation value and the neighborhood evaluation value.

The invention belongs to the technical field of ship and ocean engineering, and discloses a ro-ro passenger ship stowage optimization method and system, and the method comprises the steps: setting deck information and vehicle information of each layer of a ro-ro passenger ship; the maximum load capacity, the maximum heeling moment and the maximum heeling moment of each layer of deck are obtained; the improved genetic algorithm GA-DIE based on a double-layer integer coding mode is used for carrying out vehicle stowage optimization solution of multiple layers of decks and multiple vehicle types on the ro-ro passenger ship; an improved LHL algorithm is adopted to determine the position coordinates of the vehicle in each layer of deck; and after safety accounting is carried out on population individuals of each iteration, the maximum fitness is determined, and an optimized ro-ro passenger ship stowage scheme is obtained. According to the method, the optimal solution of the fitness (single voyage number income) meeting the constraint condition is obtained through iteration, and a multi-deck and multi-vehicle stowage scheme is obtained. By means of the ro-ro passenger ship stowage optimization method, the loading safety can be effectively guaranteed, the complex problem of multi-deck and multi-vehicle-type mixed loading is solved, and the sailing economy and safety are improved.

Disclosed embodiments provide a coupling configured to be compatible with E-fittings used in an E-track system. The coupling can be used for securing loads within a cargo container. The coupling includes a body having a rectangular shape or cylindrical shape. Multiple slots are formed in the body, each slot of the plurality of slots configured to receive an E-fitting. The coupling enables connection to straps that are too short to be used in a single E-track connection arrangement for the securing of a freight load.

A row of docking stations to stow containers or trolleys is provided along at least one side of a van cargo storage area and a corridor for loading and unloading containers or trolleys individually or in groups from the rear of the van is provided. Preferably, the docking stations are automated. Interference with the storage and removal of containers or trolleys by the wheel wells of the vans or other vehicles is eliminated. Motorized mechanisms capture and lift the containers or trolleys above the level of the wheel wells for stowage in the docking stations to maximize the available storage area beyond that available on the floor of the cargo area. Individual containers or trolleys may be maintained in docking stations until needed.

The invention provides a ship loading method based on a multi-intelligent optimization algorithm, and relates to the technical field of shipping loading optimization, and the method comprises the following steps: S1, stowage request receiving and data preprocessing: receiving a stowage request and carrying out data processing on ship parameters, cargo information and loading rules; s2, deck virtual area division and functional area mapping: dynamically dividing a deck into a plurality of functional sub-areas according to loading rules and cargo attributes; s3, region-level multi-algorithm collaborative loading: for each sub-region, dynamically matching based on region characteristics and cooperatively executing at least two different types of intelligent optimization algorithms to carry out cargo loading; s4, performing global scheme verification and dynamic fine adjustment, including summarizing loading schemes of each sub-region, and performing global weight balance and security channel connectivity verification; and S5, outputting and visualizing a loading result. According to the method, multiple constraint conditions can be automatically processed, the optimization strategy is dynamically matched, and global optimization is realized.

To create a stowage plan appropriately in accordance with operation details.SOLUTION: A method for processing information includes the steps of: acquiring operation information indicative of an article to be sent to a destination of shipment; computing an initial solution indicative of stowage information indicative of articles assigned to respective ones of a plurality of pallets and a stowage order of articles on the pallet and of stowage order indicative of an order of pallets onto which stowage is to be done, based on the operation information; computing an initial evaluation value indicative of a burdening degree of shipment operation in the initial solution based on the initial solution; computing a neighboring solution obtained by changing a part of the stowage information and the stowage order, for the initial solution, based on the initial solution; computing a neighboring evaluation value indicative of a burdening degree of shipment operation in the neighboring solution based on the neighboring solution; and setting stowage information and stowage order to be used in a stowage plan based on the initial and neighboring evaluation values.SELECTED DRAWING: Figure 1

The invention discloses an emergency material vehicle cargo matching and stowage optimization method and device based on two-stage mixed taboo search and a medium, and the method comprises the steps: building a cargo stowage and vehicle path comprehensive transportation model, and the composition factors in the comprehensive transportation model comprise loading space, loading capacity and road section traffic capacity; inputting an emergency material transportation task set in the planned time period, wherein information contained in each transportation task comprises a starting place, a destination place, a cargo quantity, a cargo volume and a cargo weight of each transportation task; constructing an alternative path set by adopting a genetic algorithm according to the comprehensive transportation model and the emergency material transportation task; and in consideration of transport tasks, the number of vehicles and transport capacity constraint conditions, a tabu search algorithm is adopted to solve an emergency material transport optimization scheduling problem, and an optimal scheduling scheme is selected from the alternative path set. The cost is reduced, the logistics efficiency is improved, and a feasible solution is provided for the cargo transportation stowage problem.

The invention belongs to the technical field of data processing, and particularly discloses a real-time stowage scheduling method and device based on passenger roll cabin continuous space simulation, and the method comprises the steps: obtaining the ship name of a stowage ship, the lane line length of the ship and the quota stowage weight, and determining the vehicle-mounted configuration weight corresponding to each stowage condition queue; determining that the current vehicle arrives at a ship gate, and determining vehicle specification information and weight information based on the license plate number; updating a stowage condition queue according to the parking position of the current vehicle, and generating a stowage scheme of a next to-be-stowage vehicle under a preset limiting condition; updating the real-time stowage data based on the stowage data correction factor to obtain an updated stowage condition queue to be displayed to a dispatcher; and circularly generating a real-time stowage scheme of each vehicle based on the updated stowage condition queue until the ship loading of the vehicle is completed or the ship warehouse capacity is fully loaded. According to the invention, the ship stowage efficiency can be improved, and the balance between the stowage efficiency and earnings can be realized.

The invention relates to the technical field of container ship stowage, in particular to an automatic stowage system and method for a container ship, and the system comprises a line setting module, a ship model building module, a receipt processing module and a stowage module. The line setting module is connected with the stowage module, the ship model establishing module is connected with the stowage module, the receipt processing module is connected with the stowage module, and through modeling analysis of different ship types, a container with the fewest container dumping times, the lowest center of gravity and the lowest stowage time can be directly generated through an automatic stowage algorithm as long as transportation information of voyage-number containers is input. According to the perfect pre-stowage graph with the overall draught balance, a person who slightly understands stowage can directly stowage the pre-stowage graph with the old experience, the whole stowage does not need personnel participation, and automatic generation is directly achieved.

The invention relates to the technical field of freight shipment, in particular to a shipment method based on a dynamic stowage mode, which comprises the following steps: analyzing ship shipment data and storage yard equipment distribution conditions to obtain shipment operation sequences under different shipment operation lines, and determining the shipment data under the same shore bridge as shipment single-group data; analyzing the shipment single group of data to obtain an operation sequence of the containers with the same container attribute; solving container truck requirements of different operation lines of the whole ship by using a recursive algorithm, and solving container discharging at a storage yard side by using a Monte Carlo tree search algorithm according to attribute operation requirements of a shore side container; the storage yard position suitable for container discharging is dynamically planned based on the distribution condition of storage yard side equipment and the storage yard sequence set by wharf operators, an adaptive shipping strategy is selected based on an algorithm result for shipping, and the problems that in the prior art, shipping efficiency is low, flexibility is poor, and safety cannot be guaranteed are solved.

The application discloses a port management method, system and equipment based on a digital intelligent algorithm, belongs to the field of smart ports, and comprises the following steps: collecting cargo information, ship information and vehicle information and performing pretreatment; performing intelligent berth planning according to the pretreated ship information to obtain berth information, then performing intelligent stowage planning according to the pretreated cargo information, the pretreated vehicle information and the berth information to obtain stowage information; collecting port storage information, combining the stowage information with the port storage information to perform intelligent stacking planning to obtain stacking information; performing intelligent site selection according to the berth information, the stowage information and the stacking information to obtain site selection parameters and site selection tasks, and automatically sending containers according to the site selection parameters and the site selection tasks to realize real-time scheduling of the port. The application can solve the problem that the prior art cannot realize dynamic management of the port.

The invention provides a ship block floating carrying method, which comprises the following steps of: launching a main ship body to berth at a wharf of a still water harbor basin, carrying out stowage leveling on a launching area, lightering a block needing to be carried to a specified position, and selecting corresponding floating crane equipment according to the weight of the block to carry out floating carrying on the block. The invention provides a brand-new feasibility scheme for whole ship building, the whole ship is built by combining equipment and facility conditions of each site and fully utilizing existing resources, the requirement of a traditional mode for site conditions is broken through, site limitation is broken through, the slipway or dock period is shortened, other site resources are not occupied, and the construction cost is reduced. And the production rhythm of other types of ships is ensured.

The utility model discloses a logistics vehicle cargo loading and filling device which comprises a box body, a plurality of bottom plates are arranged in the box body, partition plates are arranged in sliding grooves, a plurality of limiting holes are formed in the upper portions of the bottom plates, limiting plates are fixedly installed below the partition plates, grooves are formed in the limiting plates, and bearing guide rails are arranged in the box body. A plurality of object supporting plates are arranged in the bearing guide rail, hinges are fixedly installed between the object supporting plates, the fixing shaft comprises a movable installation part pulley and a fixed installation part fixing ring, and the movable installation part pulley is arranged in the bearing guide rail in a sliding and sleeved mode. By means of the structure, a partition plate independent locking mechanism prevents displacement in the transportation process, the collision damage risk of goods is reduced, stacked goods are prevented from collapsing through modular partition, the three-section type folding hinge structure enables the thickness of the folded shelf plate to be greatly reduced, and the shelf plate does not occupy the effective loading space in the folding state.

The intelligent twist lock for the container ship comprises a lock body master control box, an upper lock head driving box and a lower lock head driving box are arranged on the upper portion and the lower portion of the lock body master control box respectively, an upper lock head is arranged on the top of the upper lock head driving box in a sliding mode, and a lower lock head is arranged at the bottom of the lower lock head driving box in a sliding mode; an upper lock head driving assembly is arranged in the upper lock head driving box, and a lower lock head driving assembly is arranged in the lower lock head driving box. A lock body information chip convenient for a ship remote control platform to remotely operate the twist lock is arranged on the front side of the upper lock head driving box; the lock body information chip and the control module are additionally arranged on the twist lock, and the twist lock is in communication connection with the ship remote control platform, so that key data basis and equipment support are provided for intelligent stowage and yard automatic management of the container ship; the driving motor is matched with the precise spiral lifting and rotating mechanism, so that the whole process automation of locking and unlocking of the twist lock is realized, the working efficiency is greatly improved, and the labor intensity is reduced.

The invention discloses an intelligent management system for international trade export business. The intelligent management system comprises a system setting module, an external consultation module, a service demand module, an intelligent cabinet arrangement module and an intelligent report module, and the system setting module is used for setting and defining corresponding related data in the business demand module, the intelligent cabinet arrangement module and the intelligent report module and association relationships among the related data. The intelligent management system is based on the push-and-pull order technology, achieves one-stop management of the whole foreign trade process from clients to purchasing to shipping to final financial settlement and the like, achieves rapid information generation of the whole process, reduces repeated information input by users, and improves the accuracy of information input. Meanwhile, manual operation is simplified through an intelligent algorithm, the problem that delivery to customers is not timely due to manual operation omission is avoided, and the working efficiency of employees is improved.

The utility model belongs to the field of cargo stowage, and particularly relates to a storage device convenient to classify, which comprises a feeding seat, one end of the feeding seat is fixedly connected with a material rotating seat, one end, far away from the feeding seat, of the material rotating seat is fixedly connected with a discharging seat, a classifying structure is arranged on the material rotating seat, and the classifying structure comprises a rotating motor. The inner wall of the material rotating seat is fixedly connected with a rotating motor, and the output end of the rotating motor is fixedly connected with a connecting shaft. According to the storage device convenient to classify, a motor is started to drive a roller to rotate, so that products are moved to an equal-height seat from a rotating disc and then enter a conveying belt on a discharging seat along a connecting inclined block, a worker at the discharging seat can conveniently store the products, and the products can be conveniently classified according to the size of a warehouse. And a proper number of discharging seats and sorting structures on the material rotating seats are selected and assembled, so that the products can be quickly and accurately sorted, and the working efficiency is improved.

The invention belongs to the technical field of data processing, and particularly discloses a passenger rolling ship index configuration method and device based on discrete passenger and cargo flow information, and the method comprises the steps: obtaining a static index and a ship portrait of a ship, and obtaining a market fluctuation factor; determining a current season according to a ship index distribution date, and calculating trolley information and truck information respectively in combination with historical statistical data; the historical average trolley loading number, the trolley market fluctuation factor, the trolley vehicle information, the historical average truck loading number, the truck market fluctuation factor and the truck vehicle information are combined with static indexes, calculation is carried out by utilizing an established stowage allocation formula, and a stowage index allocation scheme is obtained and determined; and the index distribution scheme is optimized based on the stowage evaluation parameters until stowage indexes of the stowage index distribution scheme reach target values, and an optimized ship stowage scheme is obtained. According to the invention, the shipping stowage efficiency of the ship can be improved.

The invention discloses a shipping stowage method, device and equipment, a storage medium and a program product, and relates to the technical field of shipping intelligent stowage, and the shipping stowage method comprises the following steps: reading a container shipping period of a target ship in a container wharf; according to the container shipping period, shipping containers in a storage yard are combined, and a shipping container string to be loaded is obtained; and carrying out shipping stowage on the target ship based on the shipping container string to be stowage to obtain a shipping stowage plan. According to the shipping stowage method, shipping stowage is carried out through the container shipping period combination shipping container string, shipping stowage of the whole container wharf ship is achieved, the problem that in the prior art, the whole ship shipping stowage convenient to adjust cannot be achieved is solved, manual intervention on the wharf ship shipping stowage is reduced, and the shipping stowage convenience and usability are improved.

The invention discloses a port container shipment cabin position monitoring method, and belongs to the technical field of container shipment automation, and the method comprises the following steps: outputting a stowage chart; coordinates of all points on the ship in the space rectangular coordinate system are obtained; the corresponding containers are clamped, and the containers are transferred according to the coordinates, obtained through last adjustment and updating, of the corresponding shipping spaces of the containers; through first position adjustment, the container corresponds to the position of the corresponding cabin; after the position of the container is stable, the height of the container is gradually reduced. Through laser radar multi-source scanning and three-dimensional digital twinborn body comparison, real-time mapping of a ship and port coordinate system is established, high-precision coincidence of a container projection position and a target shipping space is realized in combination with identification of a visual system on shipping space corners, accurate determination of a container placement position is realized, and high-precision positioning of the container is realized. Therefore, the positioning and position adjusting time in the container shipping process is shortened, and the shipping efficiency is improved.

The invention discloses an ocean container transport ship design system and method based on digital twinning, and belongs to the technical field of ship engineering and digital twinning. The method aims at solving the technical problem that traditional finite element analysis cannot provide real-time feedback due to massive working condition combinations in the design process of the ocean container transport ship. The system and the method comprise the following steps: constructing a standardized topological domain for unifying different ship type variants; a high-fidelity full-component stress tensor sample set under the working condition of a small number of anchor points is calculated in an off-line mode; performing orthogonal decomposition on the sample set, and extracting a group of orthogonal stress bases carrying dimensional information; in the design interaction stage, the system predicts a dimensionless modal coefficient through a pre-training model according to design parameters such as a hull geometric variant, a stowage scheme and a sea condition input by a designer, performs linear weighted stacking on the dimensionless modal coefficient and a stress base, reconstructs a full-field stress tensor of a hull structure in real time, and generates a visual evaluation result.