11 results about "Load planning" patented technology

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.

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.

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.