13 results about "Dimensional weight" patented technology

The invention provides an intelligent boxing method and system. The intelligent boxing method comprises the steps of obtaining boxing task information and generating a boxing scheme. The boxing task information comprises the size, the weight, the stacking limitation, the number and the priority of each cargo, and the size, the bearing capacity and the occupation state of each loading unit. And under the condition that the size, bearing and stacking constraint conditions are met, a plurality of candidate boxing combinations are generated, the loading utilization rate, the residual space distribution and the shape matching degree are evaluated based on a preset optimization target, and an optimal scheme is selected. The system comprises an input terminal, a task information receiving module, a data storage module, a task and scheme storage module, an operation processing module and a final boxing scheme generation module. According to the method, multi-dimensional constraint matching and weight balance are considered, and space waste and transportation risks are avoided; the maximum greedy algorithm and the adaptive large neighborhood search optimization are combined to realize the combination of automation and experience. The method can be expanded to batch task scheduling and grouping sequencing, so that the calculation complexity is reduced, and the overall boxing and transportation efficiency is improved.

The invention relates to the technical field of luggage check-in, in particular to an airport luggage management system, which adopts a multi-factor weighted scoring and hierarchical processing method, calculates a luggage weight through a five-dimensional weight model, and allocates a sequence number; a three-dimensional hierarchical A * algorithm is adopted to plan an optimal path, and cross-layer jump and real-time obstacle avoidance are supported; the luggage is moved to a specified three-dimensional position (layer / row / column) in an internal conveying structure of the trunk transfer trolley, and it is ensured that the high-priority luggage is located on the outer side of the top layer (the position where the luggage is most easily unloaded); and an unloading sequence is finally generated after the luggage boxes are placed, so that the high-priority luggage can be firstly unloaded. The whole system improves the luggage transfer efficiency by 45% and reduces the error rate by 96.7%. And full-process intelligent management of the luggage from disorder to order is realized.

The invention relates to a high-end automobile sheet product casting blank quality judgment method, and belongs to the technical field of ferrous metallurgy continuous casting production methods. According to the technical scheme, liquid level fluctuation judgment, heat flow ratio judgment, constant pulling speed judgment and secondary cooling water judgment are carried out, and grade subdivision is carried out; and based on the weight difference of different quality indexes of the high-strength automobile sheet, setting the weight of each dimension, calculating a comprehensive score, and mapping the comprehensive score into a final quality grade. The method has the beneficial effects that through a three-layer framework of'single-dimensional accurate judgment-multi-dimensional weight collaboration-comprehensive grade mapping ', accurate control over the quality of the high-strength automobile sheet casting blank is achieved, and four core dimensions of liquid level fluctuation, a heat flow ratio and secondary cooling water are covered; a refined grading standard is established to adapt to the quality requirements of different parts of the high-strength automobile sheet; and multi-dimensional collaborative judgment logic is constructed, so that misjudgment of a single index is avoided, and the judgment accuracy is improved.

The invention relates to the technical field of logistics transportation, in particular to a positioning anti-falling method for truck unloading, which comprises the following steps: setting at least two positioning ground marking lines parallel to a carriage door frame on a carriage bottom plate, and establishing a space coordinate reference for goods; obtaining the size, weight and gravity center position parameters of the goods, and determining the initial placement position and the propelling sequence of the goods in the carriage; calculating an allowable propulsion range of each cargo according to the cargo parameters and the initial placement position, wherein the allowable propulsion range comprises a propulsion distance, a propulsion angle and a boundary area; in the propelling process, the allowable propelling range and the propelling angle are dynamically adjusted in combination with the inclination state of the carriage; when the multiple cargoes are propelled, a cooperative propelling path is generated based on the cargo parameters and the ground marking lines; when the goods are continuously propelled, the relation between the positions of the goods and the allowable range is judged in real time, and the propelling path or action is adjusted if necessary. Goods can be safely carried in the carriage, and the falling problem is avoided.

The utility model discloses a multi-dimensional cargo size and weight integrated detection device which comprises a movable assembly and a replacement assembly. According to the device, through the arranged movable assembly and the arranged replacement assembly, after the protection plates in the storage frame are fully stored, downward pressing force is applied to the guide plates, the limiting blocks are driven to be separated from the interiors of the limiting columns, pushing force is applied to the fixed frame, and the fixed frame moves to one side of the guide frame under the assistance of movable wheels; then pushing force is applied to the guide plate on one side, after the fixing frame moves to the needed position, the force applied to the guide plate is cancelled, under the elastic action of a spring, a limiting block rebounds into a limiting column, upward pulling force is applied to a connecting plate, and after a connecting rod is separated from the interior of a supporting frame, pushing force is applied to a storage frame under the action of a moving wheel; according to the scheme, the storage frame for storing the protection plate can be quickly and easily moved to the required position.

This application provides a palletizing method, storage medium, and program product for air freight. By acquiring first information input by the user in natural language, the method directly identifies the user's intent to determine whether it is for palletizing. Upon successful identification, it automatically extracts key second information such as the target aircraft type, target pallet type, business priority, business attributes, and cargo dimensions and weight. Based on the extracted second information, it automatically determines the corresponding first palletizing scheme. Subsequently, based on the palletizing scheme, it uniformly generates and directly outputs a first task identifier, a first natural language summary, a first three-dimensional visualization model, and a first cargo loading list. This eliminates a large number of tedious operations such as manual information processing, manual scheme formulation, manual list organization, and manual result summarization, thereby effectively shortening the overall palletizing processing cycle and significantly improving palletizing efficiency.

The application discloses a kind of volume weight auditing DWS intelligent checking system, comprising: volume measurement module, for collecting the three-dimensional size of goods, and according to the three-dimensional size of goods, the volume of goods is calculated;Weight detection module, for real-time acquisition of the weight of goods;Reading module, for identifying and reading the bar code or two-dimensional code of goods;Reading module includes repair module, based on the front and rear visual images of goods, the bar code or two-dimensional code of pollution, damage and unclear is read for repair;Data auditing module, the data auditing module is connected with volume measurement module, weight detection module and reading module respectively, the data auditing module is used to calculate the volume of goods, the consistency of execution data and order information, identify the abnormal state of goods and trigger early warning.The application, instead of traditional logistics manual weighing, volume measurement, manual code scanning upload operation, realizes data acquisition, checking, whole-process automation, and improves logistics processing efficiency.

The utility model relates to the technical field of air freight, and discloses an air freight blocking net rapid loading and unloading device which comprises a supporting protection shell, the bottom of the supporting protection shell is fixedly connected with a rapid disassembling mechanism, the interior of the supporting protection shell is slidably connected with a telescopic mechanism, and the telescopic mechanism comprises a rotating motor. A lifting assembly used for lifting is rotationally connected to the inner side of the supporting protection shell, the lifting assembly comprises a driving wheel, the output end of the rotating motor is fixedly connected to the interior of the driving wheel, a first driven wheel is rotationally connected to the inner side of the supporting protection shell, and a second driven wheel is rotationally connected to the exterior of the first driven wheel. The height of the supporting blocking net can be flexibly adjusted, the height of the blocking net can be accurately adjusted according to different sizes, weights and materials of goods, it is ensured that various goods can be effectively intercepted, and the applicability and reliability of the device in complex air freight scenes are greatly improved.

This invention provides an intelligent loading method and system for air cargo, including collecting information on cargo size, weight, center of gravity, and destination port; generating an initial plan using a layered filling strategy; iterative optimization using a simulated annealing algorithm; and selecting destruction and repair operators based on the current temperature. At high temperatures, operators with better historical exploration performance are prioritized, while at low temperatures, operators with better historical optimization performance are emphasized. The destruction operator analyzes load balance and stability based on the cargo support relationship diagram, removing cargo with insufficient stability. The repair operator evaluates each candidate position for the cargo, comprehensively evaluating multiple dimensions such as overall center of gravity impact, contact surface stability, cargo concentration at the same port, and local stability improvement, selecting the optimal position for insertion as a candidate load, and outputting the loading plan when preset termination conditions are met.

The application discloses a civil aviation flight schedule configuration method for popular travel, which comprises the following steps: firstly, a multi-dimensional weight system for popular travel is determined, and the weight of each flight in the passenger type, airline type, route type and time type dimensions is calculated according to the flight schedule application data; then, the contribution degree of each flight to popular travel is evaluated by comprehensively considering the weight of each dimension, and the weight of each flight in the flight schedule offset is determined; next, a civil aviation flight schedule configuration model for popular travel is established, aiming at minimizing the total weight of the time offset and constraining the same; finally, the established flight schedule model is solved by using a Gurobi solver in a Python environment to obtain a civil aviation flight schedule table for popular travel. The application establishes a civil aviation flight schedule configuration model for popular travel, balances the popular travel demand, configuration efficiency and fairness, and improves the operability of the civil aviation flight schedule configuration.

The invention discloses a cross-warehouse equipment allocation method, equipment, a medium and a program product, and relates to the technical field of data center operation and maintenance, and the method comprises the steps: constructing an equipment compatibility quantification model according to the multi-dimensional features and corresponding dimension weights of the equipment; defining a transportation cost function by using a transportation decision influence factor containing a task emergency degree; receiving and responding to an allocation task, and performing multi-target hierarchical solution on the equipment compatibility, the transportation economy and the task timeliness according to the equipment compatibility quantitative model in combination with the transportation cost function; and adjusting the dimension weight and / or the transportation cost function based on the related data of the transportation process, and generating an optimal allocation scheme conforming to a preset constraint. In this way, a multi-target hierarchical solution strategy is applied, the generation time of an allocation scheme is greatly shortened, meanwhile, the defects of compatibility misjudgment, transportation cost fluctuation, emergency response delay and the like in a traditional allocation decision are effectively overcome, and precision, intelligence and self-adaptive optimization of the whole process of equipment allocation are achieved.

A steel structure modular building splitting method based on BIM and assembly prefabrication and transportation comprises the following steps that (1) a three-dimensional modular building BIM model is created based on a BIM platform; 2) performing two-dimensional plane type splitting on the modular building BIM model, namely dividing six surfaces of a cuboid box body into a top plate, a bottom plate and four wall bodies to form a plurality of modules; each surface is provided with a prefabricated and integrated steel structure framework structural member which comprises a beam, a column, a support and an embedded equipment pipeline; 3) counting the size, the weight and the number of the split modules; and 4) selecting a standard container, carrying out boxing simulation, calculating the space utilization rate or the load utilization rate of the container, repeating the boxing simulation until the space utilization rate or the load utilization rate of the container is greater than or equal to 75%, and generating a boxing guidance graph.

This invention relates to an adaptive method for multi-train scheduling parameters based on evolutionary optimization, comprising the following steps: an algorithm optimization module acquires basic parameters, generates and updates a parent matrix and a scheduling weight vector; the algorithm optimization module iteratively evolves the scheduling weight vector, executes train operation planning, determines the travel path, sequence, and completion time of each train; the algorithm optimization module adjusts the scheduling weight vector according to the comprehensive fitness value; and the execution results are fed back and updated through self-learning. In this invention, the algorithm optimization module generates candidate weights and sends parameter packets; the scheduling evaluation module runs the scheduling based on the parameters; the scheduling evaluation module returns the comprehensive fitness value and operation indicators; the algorithm optimization module updates the weights and matrix using feedback; and the above steps are executed cyclically to form a self-learning optimization loop. Finally, the system automatically finds the optimal three-dimensional weight ratio, realizing dynamic priority scheduling of trains on complex lines, achieving a more balanced and efficient operation.