17 results about "Load planning" patented technology

The application relates to an automatic ship loading operation scheduling method, which comprises the following steps: operation setting and preparation; self-checking and preheating of a ship loader; hatch positioning scanning; ship loader operation scheduling; and ship loader operation. After receiving a material dropping point operation plan, each ship loader is operated to a designated material dropping point through hatch changing and ship moving, and then material dropping operation is started. When all the material dropping point loading plans are completed, the ship loader ends the operation and returns to the original position. The method comprehensively considers various conditions and performs overall scheduling on the ship loading operation.

The invention provides a three-dimensional boxing planning method based on a dynamic grid. The method comprises the following steps: defining constraint conditions of cargo loading; the method comprises the following steps: dispersing a cargo space into three-dimensional grids, and initializing the three-dimensional grids; goods preprocessing, wherein effective goods are screened, and the goods are sorted and grouped; carrying out iterative placement, namely carrying out iterative placement on the preprocessed goods in a three-dimensional grid space; and coordinate conversion: converting the grid coordinates of the placed cargoes into cargo hold space coordinates. According to the method, the cargo hold space is discretized through the dynamic grid, the constraint conditions are defined, and the problem that the applicability is poor due to the fact that an existing loading algorithm ignores actual physical constraints is solved by combining cargo preprocessing and an iterative placement mechanism. The dynamic grids can accurately track the space occupancy state, linkage from planning to execution is achieved in cooperation with coordinate conversion, the space utilization rate, loading stability and automation degree of boxing are remarkably improved, and a set of complete and landing solution is provided for box type goods loading.

The invention discloses a low-carbon steel industrial park network load planning method, system and device and a storage medium, and relates to the technical field of industrial production process optimization, and the method comprises the steps: constructing an analysis model, analyzing a low-carbon comprehensive energy flow path of an iron and steel industrial park, and obtaining an energy network structure; based on an energy network structure, considering constraints in a steel production process, constructing a steel production process model, and obtaining load side demand information of energy equipment; based on the load side demand information of the energy equipment, constructing an operation model of the energy equipment in the steel park, and analyzing technical operation characteristics of energy; the characteristics of the power transmission line are considered, and an extension planning method of the power transmission line based on an improved heuristic gradual extension method is constructed; and carrying out collaborative optimization on the technical operation characteristics of the energy and the extension planning method of the power transmission line to obtain a planning method for the coordination of the extension planning of the power transmission network frame and the steel production time sequence operation simulation. According to the method, the hydrogen energy consumption prediction precision and the coordinated optimization capability of multi-source supply and demand matching are improved.

An example method includes receiving first data indicative of a plurality of predetermined configurations for loading cargo into a compartment of a cargo hold of an aircraft. Each of the plurality of predetermined configurations includes a possible layout of a plurality of unit load devices. The method further includes receiving second data indicative of shipments available for transportation in the aircraft. The method further includes determining a plurality of possible shipping configurations from the plurality of predetermined configurations, each one of the plurality of possible shipping configurations comprising an assignment of the shipments into or as one of the plurality of unit load devices, and a location of each of the plurality of unit load devices within the cargo hold of the aircraft. The method further includes determining one of the plurality of possible shipping configurations that satisfies a rule.

According to the aviation container stowage optimization model and optimization method considering the actual operation and control target of the airline, the rising range of model complexity caused by the increase of constraint conditions is reduced, and the solving efficiency and quality of an optimal solution are improved. The model comprises a decision variable, a target function, a constraint condition, a fitness function and a termination condition; optimization is carried out in three stages, wherein optimization is carried out with the maximum load capacity as an objective function, and a to-be-optimized individual with the maximum load capacity and a first-stage optimal solution are obtained; carrying out second-stage optimization by taking the maximum pitching rotational inertia as an objective function and taking the to-be-optimized individual with the maximum loading capacity and the optimal solution as initial solutions to obtain the maximum reachable pitching rotational inertia under the condition of the maximum loading capacity; and carrying out third-stage optimization by taking the normalized minimum pitching rotational inertia and minimum gravity center deviation as objective functions and taking the to-be-optimized individual with the maximum loading capacity and the optimal solution as initial solutions to obtain an optimal loading plan with the minimum pitching rotational inertia and gravity center deviation under the condition of the maximum loading capacity.

The application discloses a coal blending and burning method and system based on unit load planning and multi-constraint optimization, and belongs to the technical field of coal-fired power plant coal management. The method obtains unit load planning data through a data interface or an image recognition technology, maps a load state to corresponding coal quality blending constraints, and integrates coal yard inventory constraints and safety stocking constraints; a linear programming model is constructed to minimize the sum of total fuel procurement cost and expected operation cost, and an adaptive relaxation mechanism is started when there is no feasible solution; the optimization result is matched with a stocking mode database, and a coal blending operation instruction is generated by selecting a scheme with the lowest comprehensive operation cost. The application realizes dynamic response of the coal blending scheme to the load planning, solves the problems of load limiting caused by poor coal quality during a high load period and waste caused by excellent coal quality during a low load period in the traditional method, and significantly improves the economy and safety of power plant operation.

A method of generating a trailer loading plan is provided. The method involves receiving information for each of a plurality of packages that includes at least dimensions and a mass of each package, and determining trailer information that includes at least dimensions of a trailer's internal volume. The method further involves determining a position for each of the plurality of packages within the internal volume based at least in part on the information for each of the plurality of packages, the dimensions of the internal volume, and a resulting center of gravity of the trailer and the plurality of packages, e.g., a center of gravity of the trailer when loaded with the plurality of packages in their respective positions, and generating a trailer loading plan that includes the position for each of the plurality of packages within the internal volume. A system for performing the method is also provided.

The application provides a prefabricated house prefabricated wallboard warehousing and transportation method, S1, defining the set of prefabricated wallboards required by a certain building and the installation order set, and constructing the mold table set and the integral tool set of the prefabricating factory; S2, based on the installation order set, the prefabricated wallboards are distributed to the mold tables for production, and the produced prefabricated wallboards are matched to the integral tool for loading, ensuring that the stacking order in the integral tool is consistent with the installation order; S3, the full load integral tool is transported from the prefabricating factory to the yard for warehousing by using the transport vehicle, and the empty integral tool is transported back to the prefabricating factory; the application inversely deduces the production and loading plan according to the installation order, combines the integral tool and the drop and pull transportation mode, realizes the accurate distribution without secondary sorting, significantly improves the logistics turnover efficiency, and reduces the component damage risk.

The present application relates to a kind of controllable load day-ahead regulation capability evaluation method for clean energy consumption, establish the objective function of controllable load tracking wind light waveform fluctuation capability index model, and load tracking clean energy consumption regulation amount function, obtain the contribution index model of controllable load clean energy consumption according to objective function and regulation amount function, the ability of different controllable load tracking wind light output curve is obtained, and the quantification of consumption regulation capability.The present application has the advantages that: establish the objective function of controllable load tracking wind light waveform fluctuation capability index model, and load tracking clean energy consumption regulation amount function, obtain the contribution index model of controllable load clean energy consumption according to objective function and regulation amount function;The day-ahead flexibility regulation capability of different controllable load is quantified, the optimal load planning scheme of each period can be obtained, and reference is provided for the implementation of corresponding incentive policy of electric power system.

The application provides a method and device for flexible transformation of thermal power based on energy consumption end, equipment and medium, relates to the technical field of thermal power climbing optimization, and comprises the following steps: obtaining load monitoring data of the energy consumption end in a T-1 time period to form a time-measured load curve; obtaining load planning data of the energy consumption end in a T time period to form a time-planning load curve; obtaining climbing auxiliary demand evaluation parameters according to measured climbing data of the energy consumption end in the T-1 time period and planning climbing data in the T time period based on the time-measured load curve and the time-planning load curve; determining total auxiliary climbing energy storage called in climbing planning in the T time period according to the climbing auxiliary demand evaluation parameters; and obtaining a climbing strategy in the T time period based on monitoring values of a temperature sensor, the time-planning load curve and the called total auxiliary climbing energy storage. The application has the advantages of considering the reliability of thermal power climbing under the assistance of an energy storage system and the loss of the energy storage system.

The application relates to the technical field of industrial automation, and discloses a car compartment environment real-time modeling method based on three-dimensional vision fusion, which comprises the following steps: obtaining three-dimensional perception data of the inside of a car compartment, associating observation direction information with each perception point, and voxelizing and dividing the space; on this basis, the observation direction consistency in the voxel unit and the space accessibility based on the car compartment entrance are analyzed respectively; the voxel unit is determined in terms of real structure and risk missing structure by combining the consistency parameter and the accessibility parameter, and the risk missing structure is compensated in combination with the spatial continuity of adjacent stable structures; meanwhile, the voxel occupation state is compared for consistency between adjacent scanning periods, structure stability information is generated, and the three-dimensional model of the car compartment is corrected in real time according to the structure stability information, so that a car compartment environment model suitable for loading planning is dynamically output during the loading operation.

Disclosed are a parts delivery system and a method of operating the same. The parts delivery system includes a production line configured to receive parts and assemble a finished product, a parts loading site configured to have a space where the parts are loaded; a parts transportation unit configured to load the parts in the parts loading site or discharge the parts from the parts loading site to supply the parts to the production line, and a processor configured to provide virtual space data on the parts loading site, to establish a parts loading schedule and a parts discharging schedule on the virtual space data according to an assembly schedule of the finished product of the production line, and to control the parts transportation unit to load or discharge the parts in the actual parts loading site according to the parts loading schedule and the parts discharging schedule.

The invention provides a thermal power flexibility transformation method and device based on an energy consumption end, equipment and a medium, and relates to the technical field of thermal power climbing optimization, and the method comprises the steps: obtaining the load monitoring data of the energy consumption end in a (T-1) th time period, and forming a time-actual measurement load curve; obtaining load planning data of the energy consumption end in the Tth time period, and forming a time-planning load curve; on the basis of the time-actually measured load curve and the time-planned load curve, acquiring climbing assistance demand evaluation parameters according to actually measured climbing data of the energy consumption end in the (T-1) th time period and planned climbing data of the energy consumption end in the Tth time period; determining the total auxiliary climbing energy storage capacity called in the climbing plan of the Tth time period according to the climbing auxiliary demand evaluation parameter; and acquiring a climbing strategy of the Tth time period based on a monitoring value of the temperature sensor, the time-planning load curve and the called total auxiliary climbing stored energy. According to the method, the reliability of thermal power climbing assisted by the energy storage system and the loss of the energy storage system are both considered.

Systems and methods include an optimization-based load planning module including a data-reduction scheme for analyzers of bio-fluid samples. The optimization-based load planning module is executable on a computer server and is configured to optimize assay type assignments across a large number of analyzers based on one or more objectives, such as: load balancing, efficient reagent usage, reduced turn-around-time, reduced quality assurance costs, and / or improved system robustness. The optimization-based load planning module uses a data-reduction scheme to generate a load plan comprising computer-executable instructions configured to cause a system controller of a diagnostic laboratory system to assign each of the requested test types to be performed over the planning period to one or more selected analyzers in accordance with the one or more preferences or priorities. Other aspects are also described.

The invention discloses a big data management method and a big data management system, and relates to the field of big data management, the big data management system comprises a data management platform, the data management platform is in communication connection with an operation management module, a data acquisition module, a data preprocessing module, a data storage module, a data analysis module and a data processing module; the operation management module is used for acquiring operation process data and setting corresponding operation monitoring point positions; the data acquisition module is used for acquiring data information and running state data; the data preprocessing module is used for optimizing the data information; the data analysis module is used for setting the working state of the elastic processing node according to the running state data; the data processing module is used for analyzing and processing the obtained data information and completing all processing flows for the processed optimized data information according to the operation flow sub-sequence; according to the invention, the load planning in the data management process is improved to a certain extent.

A system and method are disclosed for planning a return of ordered products without packaging and labelling. The method further includes identifying product returns that do not require packaging and labelling, generating a return collection plan indicating the product returns to be received and picked up, wherein the product returns do not require packaging for transport by the returns pickup vehicle, communicating the return collection plan to collection resources, generating a loading plan for the product returns, communicating the loading plan for a collection resource to access and follow in loading the product returns on the returns pickup vehicle, generating an inbound staging plan for the product returns, and communicating the inbound staging plan to receiving resources.

The invention relates to the technical field of power demand prediction, and discloses a power demand prediction method and system fusing adversarial enhancement and a causal perception mechanism, and the method comprises the steps: collecting and preprocessing the historical data of power consumption, and dividing the historical data into a historical known variable, a future known variable and a static variable; performing sample enhancement on the preprocessed data through a Time GAN model, and inputting a historical known variable, a future known variable and a static variable into a TFT model for model training after the sample enhancement; and performing prediction based on the trained TFT model, and outputting a power demand quantile prediction result of a future target time step. According to the invention, by introducing the integrated architecture of the TimeGAN and the TFT, a composite model with structural transparency and long-term prediction capability is constructed while an extreme scene sample is enhanced, so that intelligent and refined prediction of regional power consumption demands is realized, and support is provided for power dispatching, load planning and policy analysis.