85 results about "Stowage" patented technology

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 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 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 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.

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 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 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.

The invention discloses a flight stowage release management method based on data prediction, which belongs to a flight load quantity fine management method, and comprises the following steps of: judging whether a current flight is overloaded or not through a unique formula algorithm, and calculating whether the current flight is overloaded or not by taking a runway direction, a cargo set and the standard weight of passengers as a basis; and through a way of predicting the runway direction, the luggage weight and the loadable weight data, the whole process integration of'release-stowage-monitoring 'is realized, the passenger and freight sales space of an airline company is released to the greatest extent, and more intelligent auxiliary decision-making functions are realized.

The application provides a logistics resource allocation and loading method and system, an electronic device and a storage medium. The method comprises the following steps: acquiring basic data information and shipping task information; constructing a logistics resource association model according to the basic data information; inputting the shipping task information into the logistics resource association model to obtain an association result of a shipping task corresponding to a finished product; and performing direct shipping determination based on the association result. If the determination result is direct shipping, the finished product is classified into a first set; if the determination result is not direct shipping, the finished product is classified into a second set. The shipping vehicle state information, the first set and / or the second set are used to determine a collaborative execution scheme to perform logistics resource allocation and loading. The method realizes collaborative decision of logistics resources and shipping tasks, effectively reduces waste of reverse transportation resources, loading waiting and shipping delay, and improves the on-site executability of a shipping plan.

The utility model provides a kind of instrument and equipment retraction device applied to ship stern, it includes slide and sea chest, slide extends to ship stern, one end of slide is equipped with winch, winch is wound with pull rope, the other end of slide is set in the opening to the outside of ship, slide is set with opening as lowest point to be inclined downward, sea chest is open structure, separable instrument and equipment are fixedly installed in sea chest, the outer end of pull rope is fixedly connected with sea chest;When needing to put instrument and equipment into sea to work, winch is used to release pull rope to specific length, so that sea chest can slide into ship stern and fall into sea in slide, so that sea chest is flooded, instrument and equipment are also located in sea, at this time, instrument and equipment are separated from sea chest;When instrument and equipment located in sea to work are recycled to ship, instrument and equipment are fixed in sea chest in sea, winch is used to wind up pull rope, to recycle sea chest to ship;The utility model belongs to the technical field of ocean engineering equipment.

This invention belongs to the field of cargo stowage technology and provides an AI-based self-learning system for general cargo stowage operations. The system includes: simulating the loading of general cargo using digital twin and AI technologies, outputting several simulated loading schemes; acquiring data on the loading location, unloading sequence, weight, additional unloaded cargo quantity, and cargo hold weight distribution for each scheme; establishing an unloading status analysis model based on the loading location, unloading sequence, and additional unloaded cargo quantity to generate a comprehensive score for unloading rationality; generating a stacking safety risk score based on the loading location and weight; establishing a balance analysis model based on the weight distribution data to generate a balance risk score; and generating the optimal simulated loading scheme by combining the above scores, thereby determining the stowage operation scheme. This invention, through multi-dimensional risk quantification and a self-learning mechanism, achieves intelligent optimization of general cargo stowage schemes, improving unloading efficiency, cargo safety, and ship stability.

The application discloses a container ship stowage method based on an improved ant colony algorithm under self-adaption and multiple targets, and comprises the following steps: first, parameter initialization, a multiple-target ant colony model is constructed, the number of ants, the maximum number of iterations, the pheromone concentration is initialized, the pheromone evaporation coefficient, the pheromone importance coefficient and the heuristic factor coefficient are set, according to the multiple-target characteristics of the container ship stowage problem, a multiple-target weight coefficient vector is constructed, and on the multiple-target optimization level, the edge weight dynamically fuses the box turning penalty (P), the cross-pile area moving cost (C) and the weight deviation (W), and the adaptive weight distribution strategy (such as fuzzy logic dynamic adjustment omega 1-omega 3) is combined, so that the algorithm can flexibly balance the efficiency and safety under complex working conditions, and the multiple-target priorities are balanced through the adaptive weight distribution.

The invention relates to a freight rate calculation method and device for air freight. The freight rate calculation method for air freight comprises the following steps: acquiring freight rate rule information to generate freight rate calculation logic; in response to the received booking information, calculating an estimated freight rate in real time based on a freight rate calculation logic, and determining whether to batch the cabins based on interaction of the estimated freight rate and the booking information; in response to determining the batch, generating order making information to calculate an actual freight rate based on the order making information, and generating freight order information based on the order making information and the actual freight rate; obtaining international aviation cargo booking order CBA information based on the booking information, and generating stowage management information based on the CBA information and the waybill information; and in response to a stowage exception in the stowage management information, generating rebooking information based on the stowage exception, and updating the booking information based on the rebooking information to calculate the latest freight rate.

The invention provides a multi-mass-center working condition stowage verification method and device, electronic equipment and a storage medium. According to the method, virtual stowage adjustment of mass blocks is continuously performed on each stowage area in a simulated container of a target test truck through a constructed mass center coordinate calculation model according to a set target mass center and mass requirements, and mass block stowage can be accurately performed on each stowage area in the simulated container of the target test truck. Besides, according to the method, the theoretical centroid after stowage is verified through the set target centroid and mass and the constructed centroid coordinate calculation model, so that the theoretical centroid can be continuously close to the set target centroid. Meanwhile, the stowage verification process is realized by simulating the container, more verification working conditions can be realized, the comprehensiveness and feasibility of verification schemes of different centroid working conditions are greatly improved, and more comprehensive and objective reference basis is provided for design and development of trucks.

The invention relates to the technical field of international freight agency, in particular to an international freight agency cargo stowage path optimization method, which comprises the following steps: firstly, collecting and preprocessing multi-source heterogeneous data, and constructing a comprehensive database comprising cargo characteristics, transportation tools, road condition policies and cost effectiveness; on the basis of an analytic hierarchy process-genetic hybrid algorithm, the cargo stowage priority is determined, intelligent stowage is completed, and accurate matching of the weight, the size, the characteristics and the shipping space of the transportation tool is achieved; then combining real-time dynamic data, adopting an improved Dijkstra algorithm to carry out initial path planning, and dynamically adjusting the path through a rolling window iteration mechanism; and finally, verifying the feasibility of the scheme through a cross-modal information interaction correction module, and generating an optimal stowage path combination. According to the method, collaborative optimization of stowage and paths is realized, the dynamic adaptability and the resource utilization rate are improved, the transportation cost is reduced, the transportation period is shortened, and the method is suitable for complex international freight scenes such as multimodal transportation and cross-border transportation.

An automated lashing bar (ALB) (100,100a,100b), a lashing robot (200,200a,200b,200c), and a system and a method for automated lashing of containers onboard a ship are provided. Each ALB, includes: a bottom end, a top end, and a middle portion. The bottom end of the ALB is configured to pivot about lashing points (303) located on lashing bridges (300), whilst the top end is configured to engage into a corner casting (502) located on a container for lashing. The middle portion of the ALB has a threaded joint for rotatably tensioning or loosening the container to the respective lashing points. The top ends of the ALBs are placed at stowage hardpoints (304) located on the lashing bridges, a robotic canopy or a stalk. The lashing robot has wheels, legs or feet to allow it to travel on a hull of the ship, on the robotic canopy or on surfaces of containers.

A cargo and storage deck for securement within the cargo area of a vehicle. The cargo area of the vehicle has a floor surface. The deck includes a deck upper surface, a support member holding the deck above the floor of the vehicle, and a lid on the rearward side to enclose the storage area. The deck surface creates a storage area underneath such deck surface and above the vehicle floor surface. The support member is secured to the vehicle and to the deck surface. The lid is hingedly secured to the support member or to the deck surface. The lid provides access to the storage area beneath the deck surface. The lid has an inner side facing the storage area and an outer side opposite the inner side and includes a lid stowage compartment accessible on the outer side of the lid.

This invention relates to a method for reliability assessment and adjustment of deck stacking and lashing schemes for container ships. First, the expected deck stacking and lashing scheme is determined based on mainstream design, the shipowner's specific requirements, and the need for scheme balance. Then, calculation parameters are obtained based on the expected deck stacking and lashing scheme. These parameters are then input into lashing calculation software for calculation, and the reliability of the deck stacking and lashing scheme is assessed based on the calculation results to determine if adjustments are needed. Finally, schemes deemed unreliable are continuously subjected to "adjustment-calculation-evaluation-re-adjustment" until both deck stacking and lashing schemes are reliable. Through accurate reliability assessment and closed-loop adjustment of the deck stacking and lashing schemes, the final scheme is continuously optimized, resulting in a deck stacking and lashing scheme that is suitable for the ship type, safe, reliable, and meets expectations, thereby avoiding problems such as deck stacking weight reduction and lashing failure during actual operation.

A lightweight overhead stowage compartment comprising a self-supporting hull having an open cross-section forming a stowage space and an opening to the stowage space, wherein in a longitudinal direction of the self-supporting hull any section of the self-supporting hull has an open end in the front and rear. The stowage compartment includes a vertical connector configured to be placed into the stowage space, wherein the vertical connector is mounted to the self-supporting hull at vertical sides of the vertical connector in a force transferring manner. At least one lid is mounted at an arbitrary section of the self-supporting hull and configured to close the opening to the stowage space.

The invention discloses a container ship stowage method based on an improved ant colony algorithm under adaptive multiple targets, and the method comprises the following steps: 1, initializing parameters, constructing a multi-target ant colony model, determining the number of ants, the maximum number of iterations, and initializing the pheromone concentration according to the specific parameters of a ship and the list information of a container, setting a pheromone volatilization coefficient, a pheromone importance coefficient and a heuristic factor coefficient, constructing a multi-target weight coefficient vector according to the multi-target characteristic of the container ship stowage problem, and satisfying the condition that in the multi-target optimization level, the edge weight dynamically fuses the container turnover penalty (), the cross-heap region movement cost () and the weight deviation (), so as to realize the multi-target optimization of the container ship stowage problem. In combination with an adaptive weight distribution strategy (such as fuzzy logic dynamic adjustment omega-omega), the algorithm can flexibly balance efficiency and safety under complex working conditions, and multi-target priorities are balanced through adaptive weight distribution.

This invention discloses an AI-based method for cross-border e-commerce logistics scheduling and load optimization, belonging to the field of cross-border e-commerce logistics technology. It includes deep data preprocessing and priority scheduling, multi-mode backtracking search algorithm matching for quotations, physical and business dual verification, global multi-objective competitive optimization, end-to-end dynamic cost calculation, and instruction-based output and execution. This invention achieves three-dimensional loading optimization and dynamic load allocation through AI constraint solving algorithms, improving container space utilization to the algorithm's optimal level and shortening the manual container arrangement process from several hours to seconds. It enables rapid response to order and container changes, thereby improving the efficiency and space utilization of cross-border e-commerce logistics. Furthermore, by constructing a nested hash index and a dynamic cost engine, it traverses supplier quotations across the entire chain in milliseconds, uncovering low-price combinations that cannot be identified manually, reducing overall logistics costs, and increasing enterprise profitability, thus achieving optimal end-to-end costs.

An aircraft stowage compartment includes a main body, a swiveling compartment swiveling relative to the main body, and a spring unit therebetween. In an active state, a spring device of the spring unit generates closing forces on the swiveling compartment prevented in a passive state. A connection unit with a connection element in biased zero position switches on the passive state and in connection position switches on the active state. The connection unit has a locking device biased towards locking, for the connection element in the connection position. The connection unit has a release element for the locking device actuatable from biased rest position into release position. In the rest position, locking of the connection element in the connection position is enabled by the locking device and prevented in the release position. An aircraft includes a basic structure, the stowage compartment and the main body fixed to the basic structure.

The invention discloses an energy efficiency management method for a 200,000-400,000 methanol dual-fuel container ship, and belongs to the technical field of ship energy efficiency management. The methanol dual-fuel main engine and auxiliary engine equipment sends operation parameter / fuel consumption / main propulsion shaft power / shaft rotating speed information, and the cabin detection alarm system sends state information such as fuel oil / methanol cabin capacity and temperature to the engine room detection alarm system. The communication navigation system sends ship speed / ship position / course / wind direction and wind speed and other navigation information to the intelligent data integration platform system for data collection, processing and integration, and then sends ship energy efficiency state information to the intelligent energy efficiency management workstation for display; and sending a performance evaluation result and auxiliary decision information such as trim optimization and navigational speed optimization to a workstation for guiding ship energy efficiency management. After the intelligent energy efficiency management system is applied, the ship energy efficiency can be detected and evaluated. The navigational speed of the ship can be optimized, and an auxiliary decision is provided; the optimal stowage based on trim optimization can be provided, and fuel oil can be continuously saved for a ship owner.

The present invention suitably generates a stowage plan in accordance with work details. This information processing method comprises: a step of acquiring work information specifying the goods to be shipped to a destination; a step of calculating, based on the work information, an initial solution specifying the stowage information indicating the goods to be allocated to each of several pallets and the stacking order of the goods in one of the pallets, and a stowage sequence specifying the order in which the pallets are to be stowed; a step of calculating, based on the initial solution, an initial evaluation value indicating the load level of the shipping work in the initial solution;a step of calculating, based on the initial solution, a neighborhood solution obtained by modifying part of the stowage information and the stowage sequence with respect to the initial solution; a step of calculating, based on the neighborhood solution, a neighborhood rating value that indicates the load level of the shipping work in the neighborhood solution; and a step of setting the stowage information and the stowage sequence to be used for a stowage plan, based on the initial rating value and the neighborhood rating value.

The invention discloses a whole vehicle logistics transportation intelligent stowage device, and relates to the field of logistics transshipment, the whole vehicle logistics transportation intelligent stowage device comprises a cargo compartment and a hollow bottom plate fixed at the bottom of the cargo compartment, the upper end face of the hollow bottom plate is provided with two groove strips, the groove strips are internally provided with a plurality of groups of transmission units which are linearly distributed at equal intervals, and the transmission units are used for transferring cargoes; and transmission units are further arranged among the multiple sets of conveying units, the transmission units are arranged in the hollow bottom plate, each set of conveying unit is internally provided with an adjusting unit, and the adjusting units are used for adjusting and controlling the opening and closing states of the conveying units. A worker can pull goods to the position above the two groove strips, then the transmission unit is started through the transmission unit, the multiple cams rotate in the groove strips, the goods can be automatically transferred from the interior of the cargo compartment through synchronous rotation of the cams, and therefore the situation that the worker carries the goods or carries the goods through a small trolley is avoided.

The present application relates to the technical cross field of cross-border railway transportation, and provides a method and system for intelligent loading of Central and Eastern Europe block train containers for international supply chains, comprising responding to a block train container loading task request; obtaining loading basic data corresponding to the target block train from a multi-source data interface based on the loading task request; constructing a continuous space model for the target container, introducing a heavy convex polygon stability algorithm to establish stability constraints, and using a deep reinforcement learning model based on Transformer to determine a target loading scheme; when it is detected that the load distribution state does not satisfy the preset constraint condition, a new container loading scheme is calculated by performing local adjustment. By constructing a continuous loading state space, the space rounding error caused by gridding is eliminated, the container space utilization rate and the overall loading rate are improved; at the same time, the loading efficiency is improved under the premise of ensuring the loading quality, and the safety risk in the transportation process is reduced by introducing a physical perception mask mechanism in the model.