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37results about How to "Reduce traversal time" patented technology

Unmanned aerial vehicle trajectory planning method based on EB-RRT

The invention provides an unmanned aerial vehicle trajectory planning method based on EB-RRT. The method comprises the steps that grid partitioning is carried out on a map environment; a node xnearst nearest to a random point in existing nodes is found; an insertion point xnew is calculated according to the step length; if the sum of the distance between a root node to xnew and the Euclidean distance between xnew and the end is not greater than the length of the current optimal path, whether the xnew point is in an obstacle is detected; if not, the surrounding environment information of xnearst is collected, and a new insertion point xnew is randomly sampled in the surrounding free area; xnew is inserted into a tree; the nearby node set of xnew is traversed and found in the corresponding grid, and the path of the nearby nodes is optimized; connection detection is carried out on two trees into which the xnew point is inserted; if not, two trees are exchanged, and random points continue to be sampled; if so, a feasible path is found, and downsampling is carried out; and a Bessel cubic interpolation algorithm is used to optimize the new path. The unmanned aerial vehicle trajectory planning method provided by the invention has the advantages of high convergence speed, good flexibility, high running efficiency and good practicability.
Owner:ZHEJIANG UNIV OF TECH

Cloud computing data center energy consumption optimization method based on multi-region division

The invention discloses a cloud computing data center energy consumption optimization method based on multi-region division. Firstly, all hosts of the cloud computing data center are subjected to data collection, obtained data are subjected to sorting preprocessing, and then the sorted hosts are divided into a high load area, a middle load area and a low load area according to the load size. For a high-load area, a high-load host migration strategy is provided, and the balance of the host load is realized through migration of the virtual machine, so that the problem that the energy consumption is greatly increased due to overhigh host load is solved. In addition, for a low-load host area, a low-load host migration strategy is provided, a host no-load state is realized by migrating out the virtual machine, and the no-load host is adjusted to be in a dormant state, so that the total energy consumption of the cloud computing data center is further reduced. According to the cloud computing data center energy consumption optimization method based on multi-region division provided by the invention, the energy consumption of the cloud computing data center can be effectively reduced, the emission of carbon dioxide is reduced, and a large amount of energy is saved.
Owner:GUILIN UNIVERSITY OF TECHNOLOGY
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