7 results about "Distance minimization" patented technology

The invention relates to the technical field of automatic warehouse material, and discloses an intelligent goods allocation distribution system for automatic warehouse logistics, and the system comprises a goods allocation data collection module; a dynamic state detector; a multi-source data fusion unit; a three-dimensional storage modeling module; intelligently distributing a strategy engine; and a PLC control interface. According to the intelligent goods allocation allocation and scheduling system for automatic warehouse logistics, a goods allocation allocation scheme is generated through a multi-target Pareto optimization algorithm, the balance between carrying distance minimization min sigma alpha * Di and space utilization rate maximization Ut is achieved, and compared with a proportional static allocation rule, the warehouse space utilization rate is increased to 82%; a dynamic grid map technology is integrated, and a track cross risk area (red early warning grid) of the stacker and the AGV is marked in real time, so that the equipment collision probability is reduced by 90%; and in combination with a goods relevance knowledge graph, special goods such as medicines are clustered and stored according to temperature zones, and the energy consumption of cross-temperature-zone operation of equipment is reduced by 35%.

This invention relates to a multi-performance coordinated design method for planetary roller screws, belonging to the field of planetary roller screw technology. It includes the following steps: Step 1, establishing a calculation model for the thread engagement point slip ratio and maximum von Mises stress based on the kinematics and load distribution model of the planetary roller screw; Step 2, establishing equal and unequal structural constraints based on the correct meshing, non-interference, and contact boundary conditions of the planetary roller screw; Step 3, establishing a multi-performance optimization design model for the planetary roller screw based on the optimization objective and constraints; Step 4, using a multi-objective genetic algorithm to solve the multi-performance design model of the planetary roller screw, obtaining the Pareto front and corresponding structural design parameters; Step 5, obtaining the Pareto front range that satisfies the given limit trade-off cost. Based on the Euclidean norm and minimizing the dimensionless distance, the optimal trade-off solution and corresponding structural design parameters are obtained.

The application discloses a monitoring point layout optimization method and system based on regional scale nitrogen leaching, and relates to the field of agricultural environmental protection.The method comprises the following steps: acquiring a regional area and regional data; based on the regional data, drawing a slope grade map, a groundwater level grade map and a nitrogen accumulation map of the region respectively; performing pixel-to-pixel alignment, superposition and combination calculation on the slope grade map, the groundwater level grade map and the nitrogen accumulation map of the region to generate a plurality of basic units; under a constraint condition, performing initial layout of monitoring points in each basic unit according to the regional area, an obstacle layer and a preset monitoring point spacing; based on an average distance minimization criterion, constructing a target function of the monitoring points; and based on the target function, optimizing the monitoring points in the initial layout by using a space simulated annealing algorithm to obtain an optimized layout of the monitoring points.The application can improve the monitoring accuracy of regional scale nitrogen leaching and the layout efficiency of monitoring well points.

The application discloses a data processing method applied to the field of data processing and used for high-precision positioning of a mobile robot. The method comprises the following steps: firstly, acquiring motion data of the mobile robot in a current frame, and then matching the motion data with a preset global map to determine an initial pose of the mobile robot; secondly, when the distance between the initial pose of the mobile robot and a target pose is less than a first preset threshold, taking the minimization of the distance between the motion data and a target point cloud corresponding to the target pose as a reference, the target point cloud corresponding to the motion data and the target pose is registered to determine a current pose of the mobile robot. When the mobile robot moves to the vicinity of the target pose, the implicit surface is constructed by using the point cloud registration to fit the real environment, so that the pose of the mobile robot can be accurately determined, and the mobile robot can accurately move to the target pose.

The invention discloses a reverse construction method and system for a three-dimensional non-axisymmetric parameterized nacelle model. The method comprises the following steps: extracting two-dimensional section point coordinates from a plurality of key circumferential positions of a target nacelle; an L-BFGS-B constrained optimization algorithm is adopted, the minimization of the average square distance between the generated curve and the target point is taken as the target, and iCST parameterization representation of each section is reversely solved; reconstructing a two-dimensional section by using the obtained parameters and keeping the points consistent; based on the characteristic that a fan surface is a rotating surface, moving and aligning all sections to enable radiuses of the fan to be consistent; interpolating the corresponding points among the key sections to generate a continuous transition section; arranging all sections along the circumferential direction; and finally, on the basis of all section discrete point data, a smooth and continuous three-dimensional non-axisymmetric nacelle parameterized model is constructed through a curved surface generation algorithm, and a general CAD format file can be output. According to the method, the full-parameterized three-dimensional model is automatically reconstructed from two-dimensional information, and the problems of high cost, low efficiency and poor flexibility in the prior art are solved.

Improved resource utilization based-modeling is described herein. In an example, a computer system receives layout data indicating a layout of storage areas, staging areas, and material handling equipment configured to move items to at least the storage areas. The computer system receives first association data indicating staging area-to-delivery resource associations and second association data indicating item-to-delivery resource associations corresponding to items to be delivered. The computer system generates an input to a model based on the layout data, the first association data, and the second association data. The computer system determines an output of the model based on the input. The output is generated by the model based on a storage area-to staging area travel distance minimization. The output indicates a distribution of the items across the storage areas. The computer system causes a device to present, in a user interface, the layout and the distribution based on the output.

The invention discloses a monitoring point layout optimization method and system based on regional scale nitrogen leaching, and relates to the field of agricultural environment protection, and the method comprises the steps: obtaining a regional area and regional data; based on the regional data, respectively drawing a slope grade map, an underground water level grade map and a nitrogen accumulation map of the region; performing pixel alignment superposition and combination calculation on the gradient grade map, the underground water level grade map and the nitrogen accumulation map of the region to generate a plurality of basic units; performing initial layout on the monitoring points in each basic unit according to the area of the region, the barrier layer and a preset distance between the monitoring points under a constraint condition; constructing a target function of the monitoring points based on an average distance minimization criterion; and based on the objective function, optimizing the monitoring points in the initial layout by adopting a space simulated annealing algorithm to obtain an optimized layout of the monitoring points. According to the method, the monitoring precision of regional scale nitrogen leaching can be improved, and the monitoring well point location layout efficiency can be improved.