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公开(公告)号：US10211851B2
公开(公告)日：2019-02-19
申请号：US15947857
申请日：2018-04-08
发明人： Kaile Zhou , Lulu Wen , Shanlin Yang , Xinhui Lu , Zhen Shao , Li Sun
摘要： The present invention relates to a method and a system for compressing data from a smart meter. The method comprises: LZ-encoding electricity load data collected by the smart meter whenever the smart meter collects the electricity load data; storing the LZ-encoded electricity load data in a temporary database through a smart grid communication channel; reading the electricity load data from the temporary database every preset second duration, wherein the read electricity load data is electricity load data stored in the temporary database within the second duration before a corresponding reading time point; and LZ-decoding the read electricity load data, SAX-compressing the LZ-decoded electricity load data, and storing the SAX-compressed electricity load data in a data center. The present invention has high compression rate, reduces the transmission burden for communication lines and storage burden for the data center, and improves the efficiency of smart electricity data analysis and mining.
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12.发明授权公开(公告)号：US10140875B1
公开(公告)日：2018-11-27
申请号：US15953881
申请日：2018-04-16
发明人： He Luo , Guoqiang Wang , Zhengzheng Liang , Xiaoxuan Hu , Shanlin Yang , Huawei Ma , Wei Xia , Peng Jin , Moning Zhu , Yanqiu Niu , Xiang Fang
CPC分类号： G08G5/0043 , B64C39/024 , B64C2201/141 , G06N3/126 , G06Q10/047 , G08G5/0013 , G08G5/0026 , G08G5/0039
摘要： The embodiments of the present invention disclose a method and apparatus for joint optimization of multi-UAV task assignment and path planning. The method comprises: obtaining the location information of a plurality of UAVs and a plurality of target points, the dispersion of groundspeed course angle, and motion parameters of each UAV and wind field; constructing an initial population based on the location information, the dispersion of groundspeed course angle and a preset genetic algorithm; determining the flight status of each UAV and the flight time taken by each UAV to complete a path segment of the corresponding Dubins flight path based on the initial population and the motion parameters, obtaining the total time taken by all the UAVs corresponding to each chromosome to complete the task based on the flight time of the path segment; and subjecting the chromosomes in the initial population to crossover and mutation based on the genetic algorithm and, when a predetermined number of iterations is reached, selecting the optimal Dubins flight path as the joint optimization result. In the embodiments of the present invention, the UAV flight path planning problem is combined with the actual flight environment of the UAV, so that the optimal flight path obtained is superior to the solution in which the UAV speed is constant.
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13.发明授权公开(公告)号：US10124675B2
公开(公告)日：2018-11-13
申请号：US15794989
申请日：2017-10-26
发明人： Xiaonong Lu , Qiang Zhang , Wanying Wang , Anning Wang , Shanlin Yang , Minglun Ren , Zhanglin Peng
摘要： The present invention relates to a method and device for on-line prediction of remaining driving mileage of an electric vehicle. The method comprises: acquiring in-transit data and driving environment data of the electric vehicle which is driving; calculating the power consumption per mileage of the electric vehicle in the current case by using the in-transit data and the driving environment data in combination with a power consumption rate data model; predicting the remaining driving mileage of the electric vehicle based on the power consumption per mileage. The device provided by the present invention is implemented on the basis of the method above. The prediction result of the present invention is more accurate, to avoid the problem that the power is exhausted due to exceeding the mileage expected by a user so that the electric vehicle cannot continue to drive, thereby improving the driving experience of the user.
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