60 results about "Load planning" patented technology

According to various embodiments, a load planning system is provided for simulating shipments based on a shipping entity's planned routing of packages and a shipper's (e.g., shipping entity customer) historical shipping volume. By using the load planning system to simulate shipments according to a variety of package routing plans, a user of the load planning system may identify shipping routes along which certain shipments may by-pass the sorting process of regional shipping hubs. These by-passing routes allow the shipping entity to provide the shipper with more efficient and less costly shipping options according to various embodiments.

An asset identification and information infrastructure management (AI3M) device having an automated identification technology system (AIT), a Transportation Coordinators' Automated Information for Movements System II (TC-AIMS II), a weigh-in-motion system (WIM-II), and an Automated Air Load Planning system (AALPS) all in electronic communication for measuring and calculating actual asset characteristics, either statically or in-motion, and further calculating an actual load plan.

A system for managing shipping parcels that includes a specially adapted set of load planning tables, or, from another aspect, a set of load planning tables for use with a system for managing shipping parcels. The system includes: a planning system for providing a rated route; and a shipping database for providing stored planning information and for providing a stored rated route for shipping the parcel. Some of the shipping database is organized as a set of load planning tables, including: a group table, for storing group identifiers, each group identifier used to identify a group of one or more parcels; a load table, for storing records of attributes associated with a load, which is in turn associated with a group; a stop table, for storing records of attributes associated with a stop, which is in turn associated with a load; a shipment header table, for storing records of attributes associated with a shipment, which is in turn optionally associated with a stop; and a cost table, for storing records of attributes associated with a component cost of a load, which is in turn associated with a load.

The invention discloses an automatic anti-cheating judgment method for unmanned aerial vehicle positioning information in a link failure process. The automatic anti-cheating judgment method comprises the following steps: step 1, planning flight front leg information; step 2, carrying out data acquisition on waypoint coordinate information and carrying out table T1 information matching; step 3, extracting surface feature angular point characteristics and position elevation information in flight and matching task load planning information with landform information; step 4, calculating a weighting coefficient and a matching threshold value according to a work condition information table T4; and step 5, carrying out weighting calculation and judging whether cheat exists or not. The automatic anti-cheating judgment method integrates onboard multi-sensor information and improves the utilization rate of onboard resources. The automatic anti-cheating judgment method establishes a composite information model and improves the safety of an unmanned aerial vehicle.

The invention discloses a hybrid dynamic scheduling method used for a port container truck. The hybrid dynamic scheduling method comprises the following steps: the container truck reloads containers on an import ship and unloads the containers in on export ship; a dynamic scheduling model of the container truck is established by taking total operating time as a standard, and the dynamic scheduling model is established on the premise of a known gantry crane loading plan and a known gantry unloading plan; and on the basis of shortest total operating time, an operation path of each container truck is dynamically optimized. A dynamic scheduling mode is adopted to improve the use ratio of the container truck, the no-load driving distance of container truck transportation is reduced, a next operation task is assigned according to principles including path optimization, instruction optimization and the like, a container truck transportation process is subjected to comprehensive scheduling, the container truck is selected in multiple tasks according to the selection of path distances at any moment, and a container truck service object is dynamically collocated with the operation plane of the whole wharf.

The invention provides an automatic planning land checking method. The automatic planning land checking method comprises the steps of: performing graphic layer management, obtaining a remote sensing image as the underlying graph, and establishing a graphic layer coordinate system through the underlying graph; performing planning data loading, loading planning data in the graphic layer coordinate system, separating point, line and surface elements of the planning data into different vector graphic layers, and loading to the underlying graph; performing track management, obtaining the position point generated by a real-time GPS signal, drawing a track curve in a track graphic layer according to the position point, fitting the terrain contour in the underlying graph through the track curve, generating the surface element from the closed track curve, and storing the surface element in a new track graphic layer; and performing automatic checking, and calculating the difference size and thedifference position of the surface element of the planning data graphic layer and the surface element generated by the track curve. By means of the automatic planning land checking method, the electronic device, the storage medium and the system provided by the invention, the planning land checking efficiency can be effectively increased; the checking cost can be reduced; and thus, effective technical support is provided for checking the planning land in our country.

The invention discloses a vehicle loading optimization method and system, and relates to the technical field of vehicle loading layout optimization. The vehicle loading optimization method comprises the following steps of obtaining the to-be-loaded container information, generating a loading scheme, and displaying and outputting the loading scheme corresponding to a to-be-loaded compartment, wherein the output content comprises the identity information and the placement position information of any container; when the container is loaded into the carriage, collecting the identity information and the position information of the container placed in the carriage, comparing the identity information and the position information with the information in the loading scheme, and judging whether thetwo are consistent; and if not, outputting the prompt information. According to the present invention, the actual loading process can be reminded based on the vehicle loading plan, the loading efficiency is improved, and the vehicle loading plan is closer to the actual operation.

The invention discloses an automatic cargo loading planning system. The system comprises a laser scanning mechanism arranged above a parking area, a rotating mechanism which is used for driving the laser scanning mechanism to rotate, and a controller connected with the laser scanning mechanism, wherein the laser scanning mechanism is used for scanning a to-be-loaded vehicle parked in the parking area and acquiring the three-dimensional point cloud data; the controller is used for obtaining the shape and the position of a vehicle hopper of the to-be-loaded vehicle from the three-dimensional point cloud data, and generating a loading measurement region of the loading object from the vehicle hopper position data according to the stacking adjustment parameters, and acquiring the correspondingplacement position information of each cargo from the loading measurement region according to the shape parameters of the cargos and / or the corresponding stacking rule. According to the system and method, the placement position information of each cargo which can be loaded can be obtained according to the model of the hopper of each loading vehicle and the loading environment in the hopper, and the problem that the automatic loading machine head is not accurate in stacking position or collision and packet breaking in the loading operation of the cargos is avoided.

The invention discloses a vehicle part loading method and system, and relates to the technical field of vehicle loading layout optimization. The vehicle part loading method comprises the steps of constructing a loading block, and generating a loading scheme and an optimized loading scheme, during a gravity adjustment process, judging whether the remaining loading blocks can be loaded into a carriage one by one according to the loading sequence, if the remaining loading blocks cannot be loaded in the carriage, calculating the center of gravity of the carriage under the current pattern and judging whether the center of gravity meets the center-of-gravity constraint, and when the gravity center constraint is not met, taking out the loaded loading block to be adjusted to meet the gravity center constraint, updating the loading scheme, and calculating the loading rate corresponding to the loading scheme. According to the method, the gravity center of the loading scheme which does not meet the gravity center constraint is adjusted through the backtracking algorithm until a feasible loading scheme is generated, so that the accuracy of the vehicle loading plan is remarkably improved, and the vehicle loading plan is closer to the actual operation.

The invention discloses an unmanned aerial vehicle spraying work airline and load planning method. The method comprises the following steps that 1, farmland information and unmanned aerial vehicle technical parameters are acquired; 2, an unmanned aerial vehicletake-off point is selected, and a rectangular coordinate system is built; 3, an unmanned aerial vehicle spraying work airline preset chartis generated; 4, an unmanned aerial vehicle spraying work total range HZ and a spraying range HM under an unmanned aerial vehicle maximum load ZM are calculated; 5, the number j of homeward voyage times is calculated; 6, according to the number j of homeward voyage times and an airline planning algorithm, an unmanned aerial vehicle spraying work airline is planned, and supply points and homeward voyage points are obtained; 7, based on the planned unmanned aerial vehicle spraying work airline, an optimal load algorithm is adopted for planning an unmanned aerial vehicle one-way work load to obtain the unmanned aerial vehicle one-way optimal work load Zd. By means of the unmanned aerial vehicle spraying work airline and load planning method, energy consumption during unmanned aerial vehicle work can be reduced, work time is reduced, and the efficiency is improved.

The invention discloses a source network load planning method for improving system security and coordination. The source network load planning method comprises the following steps: step 1, determininga source network load system structure; step 2, evaluating the coordination between the power supply side and the power grid side of the source network load system by utilizing the source network synergy factor, and improving the power grid N-1 security by utilizing three safety margin indexes; step 3, establishing a coordination objective function and a safety objective function, and establishing a multi-objective planning model in combination with an economic objective function; step 4, processing the uncertainty in the multi-objective planning model; step 5, solving the multi-objective planning model by adopting a multi-objective bacterial population drug tendency algorithm; and step 6, determining examples and characteristic parameters of the examples to carry out simulation analysis.The optimal economy, safety and coordination are taken as targets, the source network planning model is established, the coordination capability of the source network and the safety of the power gridcan be effectively improved, the system economy is ensured, and the problem of high uncertainty caused by the fact that the distributed power supply is connected to the power grid is reduced.

The invention provides a cash bill case management system and a cash bill case management method. The cash bill case management system comprises: a cash bill case, a self-service device, a loading device, a reading device, a control device, and an upper-level system. The cash bill case is provided with an identifying information storage part which can store inherent identifying information of the cash bill case, and a receive-send part which performs signal communication to the identifying information. The self-service device, the loading device and the reading device are all provided with identifying information reading parts which can identify the inherent identifying information of the cash bill case, and receive-send parts which can communicate with the control device. The control device is provided with a receive-send part which is used for communicating with the self-service device, the loading device, the reading device and the upper-level system; a recording part which is used for recording loading planning information from the upper-level system and information from the self-service device, the loading device and the reading device; and a control part which manages the recorded information. The upper-level system is provided with a receive-send part which sends the cash loading planning information to the control device.

The invention discloses a step-by-step unmanned loading system. The system comprises a vehicle information recognition module used for recognizing a vehicle and sending vehicle information to a data processing module, a hopper loading system used for loading the vehicle traveling into a material loading area, a distance measuring module used for measuring the traveling distance of the vehicle, a distance guide module used for prompting a designated position which the vehicle advances to, an LED red and green indicator lamp module used for prompting the vehicle to advance or stop, and the dataprocessing module used for controlling the loading system. The system has the advantages that the structure is simple, the vehicle information can be automatically recognized, loading planning information is obtained through the vehicle information, the vehicle is guided to run to the designated position step by step according to the loading planning information to be loaded, automatic guide control over loading is realized, the loading efficiency is improved, the labor cost is reduced, and the loading precision is high.

According to various embodiments, a load planning system is provided for simulating shipments based on a shipping entity's planned routing of packages and a shipper's (e.g., shipping entity customer) historical shipping volume. By using the load planning system to simulate shipments according to a variety of package routing plans, a user of the load planning system may identify shipping routes along which certain shipments may by-pass the sorting process of regional shipping hubs. These by-passing routes allow the shipping entity to provide the shipper with more efficient and less costly shipping options according to various embodiments.

A method for generating an asset loading plan is provided. The method determines at high accuracy which products and sales orders to load on which assets (e.g., machines) in order to gain a maximum profit. Specifically, the method generates an optimized loading plan of sales orders that were produced and a least opportunity cost loading plan of sales orders that were not produced. In accordance with one embodiment the method generates a chart that shows, for each asset (or a set of assets), the cash contribution per minute versus the number of cumulative production minutes. In accordance with another embodiment the method computes the marginal cash contribution to determine the additional cash contribution that could be made if additional production time is allocated to a specific asset.

The invention discloses a vehicle loading planning method. All orders needing to be distributed in the system are clustered according to a distribution address by combining a clustering algorithm; available vehicles are allocated to each order for loading according to the clustering result; whether the orders loaded by the selected available vehicles meet the system requirements or not is judged;meanwhile, each available vehicle is loaded based on the remaining orders till all the orders in the system are loaded into the corresponding available vehicles, vehicle loading planning in the ordering platform is achieved, the single-piece logistics cost and the overall rate can be greatly reduced, the logistics cost is controlled within a reasonable range, and the cost is saved. The invention further provides a vehicle loading planning device and a storage medium.

The invention relates to a system and method for optimal load planning of electric vehicle charging. A system for optimal planning of electric power demand is presented. The system includes a node comprising one or more smart charging plug-in electric vehicles (SCPEVs), a processing subsystem, wherein the processing subsystem receives relevant data from one or more sources; and determines an optimized SCPEV load and optimal charging schedule for the node by applying an operations research technique on the relevant data.

The present invention automates the process of receiving transportation documentation and producing advance loading manifests therefrom to optimize load planning and dynamic product shipment and delivery control. Methods provide for receipt of the transportation documentation, initial preparation, and transmission of the documentation from on board a vehicle or while the vehicle is in transit. A remote processor receives the documentation, stores the documentation and feeds the documentation to a load planning software for generation of advance loading manifests from the remote processor and receive them on demand. Further, a mobile data transmission device is provided for use by a driver to communicate transportation documentation, and vehicle information to the remote processor, and, in some applications, can receive instructions for en route alterations of package pickup or delivery. The documentation can reside on a server remotely accessible by customers.

The invention discloses a load planning method and device for containers. The method comprises the following steps of: determining the container type of a plurality of to-be-transported goods containers, wherein the container type comprises one of the following: a common part container type and a urgent dispatch container type; and performing load planning for the goods containers based on the determined container type. The load planning method solves the technical problems that transportation efficiency is low and customer experience is low as goods containers are not sorted and directly transported in related technologies.

A 10kV feeder line optimal load capacity calculation method considering different load structures comprises the steps that a 10kV feeder line optimal load capacity calculation model is established, and the calculation model takes the minimum total investment of a distribution line and the minimum power grid income as an objective function and takes equipment load rate constraints, equipment load matching constraints and reliability constraints as constraint conditions; and then, an fmincon function in matlab simulation is called to solve the 10kV feeder line optimal load capacity calculation model. According to the 10kV feeder optimal load capacity calculation method considering different load structures, the reliability and economy combined 10kV feeder optimal load capacity calculation method is provided, and the method can be suitable for calculating the 10kV optimal load capacity under different load structures. According to the method, the asset utilization level of the 10kV feederline is evaluated theoretically, and a reference basis is provided for load planning and operation level analysis of the 10kV feeder line.

The invention discloses a cargo loading adjustment method and device, and relates to the technical field of vehicle loading layout optimization. The cargo loading adjusting method comprises the stepsof loading a plurality of cargos to be loaded, wherein the cargos cannot be mutually stacked in the height direction; according to a preset constraint condition, judging whether the unloaded goods canbe loaded into the carriage or not; when it is judged that the unloaded cargos cannot be loaded into the carriage, generating a loading scheme, calculating the carriage gravity center position underthe loading scheme, judging whether the gravity center position meets gravity center constraints or not, wherein the gravity center constraints comprise the x-axis, y-axis and z-axis requirement ranges; and when it is judged that the gravity center constraint is not met, performing gravity center adjustment by using a backtracking algorithm. According to the method, the gravity center of the loading scheme which does not meet the gravity center constraint is adjusted through the backtracking algorithm until the feasible loading scheme is generated, so that the accuracy of the vehicle loading plan is remarkably improved, and the vehicle loading plan is closer to the actual operation.

The present invention automates the process of receiving transportation documentation and producing advance loading manifests therefrom to optimize load planning and dynamic product shipment and delivery control. Methods provide for receipt of the transportation documentation, initial preparation, and transmission of the documentation from on board a vehicle or while the vehicle is in transit.

The invention belongs to the field of power system load forecasting, in particular to a regional load forecasting method based on area of a region and cloud reasoning. Based on the cloud thrust theoryand the load index optimization method of CA model, by establishing the optimal model of interval influencing factors, the load and spatial distribution of electricity are forecasted, This method makes full use of the advantages of cloud reasoning model in complex interval dynamic evolution in time and space, Combined with the load planning and forecasting in a period of time, the uncertainty andfuzziness of land use can be integrated into the result of load forecasting, Forecasting results are closer to the actual situation and in line with the future trend of development, which can promotethe load forecasting and power planning in the direction of the development and evolution of power load, and has a wide range of application prospects in power planning and forecasting in complex areas.

The invention discloses a stowage type retaining wall block, comprising a bottom plate, a surface wall and a left and a right sidewall; wherein, the surface and the left and right sidewalls are vertical to the bottom plate of the block; a cavity is formed among the bottom plate, the surface wall and the left and right sidewalls; solid backfill is filled in the cavity while in construction; a plurality of retaining wall blocks are connected with each other by shape matching, so as to form a wall body. The stowage type retaining wall block has the advantages that the product weight is relatively light; the carrying, lifting and long distance transportation in constructing process is convenient; different materials can be backfilled in the surface layer structure of the wall surface; the block weight is increased to meet the requirement for stabilization; the selection of backfill can adopt the solid waste such as building waste and coal ash, which can effectively reduce the effect of waste on environment; the wall body building method is relatively simple.

The invention concerns a method for simulating and optimizing loading of a system for transporting loads in order to determine an optimized loading plan. The method includes: a) inputting the previously defined structural and functional parameters of at least one transport system; b) inputting the number and the dimensional and weight parameters of the loads to be transported; c) inputting the spacing between the loads from previously defined values; d) inputting the route and / or the destination of the load to select the previously defined legal constraints during transport; e) carrying out an optimization calculation in real time, taking into account the parameters and constraints of steps a), b), c) and d) to simulate at least one optimized loading plan consistent with all of the constraints; and f) presenting an optimized loading calculated in e) or approximating an initial loading request.

A method for determining a loading plan for a testing system includes determining demand quotas for a plurality of devices to be processed through the testing system. Each demand quota specifies a number of required devices and an associated performance specification. A bin classification distribution for devices processed through the testing system is estimated. Each device has an associated product type. Each bin classification indicates a performance grade of the associated devices. A number of devices matching each performance specification exiting the testing system is estimated based on the bin classification distribution. A device loading plan specifying a count of devices for each of a plurality of the product types to be dispatched to the testing system to provide the estimated number of devices matching each performance specification exiting the testing system to substantially meet the demand quota associated with each performance specification is determined.

Systems and methods include an optimization-based load planning module for laboratory analyzers of bio-fluid samples. The optimization-based load planning module is executable on a computer server and is configured to optimize assay (lab test) assignments across a large number of laboratory analyzers based on one or more of the following user selected and weighted objectives: reduced turn-around-time, load balancing, efficient reagent usage, lower quality assurance costs, and / or improved system robustness. The optimization-based load planning module outputs a load plan comprising computer executable instructions configured to cause a system controller of a laboratory analyzer system to schedule and direct each requested test to be performed at one or more selected laboratory analyzers of the laboratory analyzer system in accordance with the user selected and weighted objectives. Other aspects are also described.

The invention relates to a device for optimizing the utilization of the resources on an IT infrastructure (1), the IT infrastructure (1) including one or more IT structures (3) hosting a plurality of application components (2a, 2b, 2c, 2d), said device including a storage module (10) capable of storing a plurality of repositories, a load planning module (20) capable of calculating for a time period required resource levels, an IT structure selection module (30) configured to select IT structures (3) required for the time period and an optimization module (40) configured to generate at least one placement plan including data of IT structures to be used and at least one evolution plan listing resource changes to be made.