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Cyber-physical Collaborative Restoration Strategy for Power Transmission System Considering Maintenance Scheduling

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1331-1341页

作者： Baozhong Ti Chuanyun Zhang Jingfei Liu Zhaoyuan Wu Ziyang Huang North China Branch of State Grid Corporation of China Beijing 100053China State Grid Beijing Electric Power Company Beijing 100031China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Electrical and Electronic EngineeringNorth China Electric Power UniversityBeijing 102206China IEEE CSEE

In order to improve the ability of power transmission system to cope with compound faults on the communication side and power side,a cyber-physical collaborative restoration strategy is ***,according to the information system’s role in fault diagnosis,remote control of equipment maintenance and automatic output adjustment of generator restoration,a cyber-physical coupling model is *** this basis,a collaborative restoration model of power transmission system is established by studying interactions among maintenance schedule paths,information system operation,and power system *** on power flow linearization and the large M-ε method,the above model is transformed into a mixed integer linear programming model,whose computational burden is reduced further by the clustering *** to the parameters of IEEE39 New England system,the geographic wiring diagram of the cyber-physical system is *** results show the proposed restoration strategy can consider the support function of the information system and space-time coordination of equipment maintenance at both sides comprehensively to speed up load recovery progress.

关键词： clustering method collaborative restoration cyber-physical power system maintenance scheduling power transmission system restoration

Recognition and localization of strawberries from 3D binocular cameras for a strawberry picking robot using coupled YOLO/Mask R-CNN

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International Journal of Agricultural and Biological Engineering 2022年第6期15卷 175-179页

作者： Heming Hu Yutaka Kaizu Hongduo Zhang Yongwei Xu Kenji Imou Ming Li Jingjing Huang Sihui Dai Graduate School of Agricultural and Life Sciences the University of TokyoTokyo 113-0033Japan Hunan Agricultural Equipment Research Institute ChangshaHunan 410125China College of Horticulture Hunan Agricultural UniversityChangshaHunan 410128China

To solve the problem of high labour costs in the strawberry picking process,the approach of a strawberry picking robot to identify and find strawberries is suggested in this ***,1000 images including mature,immature,single,multiple,and occluded strawberries were collected,and a two-stage detection Mask R-CNN instance segmentation network and a one-stage detection YOLOv3 target detection network were used to train a strawberry identification model which classified strawberries into two categories:mature and *** accuracy ratings for YOLOv3 and Mask R-CNN were 93.4%and 94.5%,***,the ZED stereo camera,triangulation,and a neural network were used to locate the strawberry in three ***3 identification accuracy was 3.1 mm,compared to Mask R-CNN of 3.9 *** strawberry detection and positioning method proposed in this study may effectively be used to supply the picking robot with a precise location of the ripe strawberry.

关键词： strawberry detection 3D point cloud mean-shift clustering method

Core Collection of Cassava ( Manihot esculenta Crantz) Germplasm

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Agricultural Biotechnology 2016年第4期5卷 18-22页

作者： Zusheng WEI Haitian FU Yinong TIAN Guangxi Sub-tropical Crops Research Institute Nanning 530001China Guangxi Cassava Research Institute Nanning 530001China

[Objective] This paper aimed to construct the core collection of cassava germplasm. [methods] Parameter values of six traits of 161 clones were ana-lyzed and evaluated. [ Results] Minkowski genetic distance was established for cluster analysis of core collection. Preferred sampling method （D 2C5S3） was suit-able for the construction of the core collection of cassava. A total of 25 core collections were obtained, which accounted for 15% of the original germplasm and could represent the genetic diversity and integrity of the original germplasms. Meanwhile, it reflected that the genetic background of the tested cassava germplasm was nar-row and the range of genetic diversity was quite small with genetic redundancy. [ Conclusions] Constructing core collection provided a theoretical foundation for the protection and utilization of cassava germplasms.

关键词： Cassava Core collection Genetic distance clustering method

Construction of Driving Cycle of a Bus Line in Xi’an Based on clustering and Markov Chain

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Construction of Driving Cycle of a Bus Line in Xi’an Based ...

2020中国汽车工程学会年会暨展览会

作者： Qin Hui Li Yaohua Shao Pandeng Ren Tianyuan Song Weiping Key Laboratory for Automotive Transportation Safety Enhancement Technology of the Ministry of Communication Chang’an University

The driving cycles of Xi’an city bus are constructed by combining clustering and Markov *** number of clusters and the combination of characteristic parameters are determined,and the method of determining the driving cycle length by Markov method is put *** the point of view of energy consumption,the specific energy consumption per mileage is defined as the criterion for selecting driving cycles,and the typical driving cycles of the line are selected from 50 candidate driving *** electric bus model based on Cruise is *** energy consumption of clustering method,V-A matrix method and combined clustering and Markov method is simulated and compared with the energy consumption of simulated sample *** results show that the proposed clustering and Markov combination method has less deviation from the actual operation data.

关键词： clustering method Markov chain method driving cycle energy consumption

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基于消费行为的市场细分模型构建与验证

市场营销（理论版） 2009年第10期

作者：齐丽云汪克夷陆英贤张芳芳

针对客户偏好和客户需求开展市场营销活动是每一个移动运营商最为关注的问题。为此，分析了移动通信行业现行的以人口统计变量和ARPU值为划分维度的市场细分方法，并在此基础上提出了以消费行为作为划分维度的市场细分模型，该模型将客... 详细信息

针对客户偏好和客户需求开展市场营销活动是每一个移动运营商最为关注的问题。为此，分析了移动通信行业现行的以人口统计变量和ARPU值为划分维度的市场细分方法，并在此基础上提出了以消费行为作为划分维度的市场细分模型，该模型将客户按照“当前价值”、“发展性”和“忠诚度”3个维度进行细分，并从数据库中分别提取相应的变量对各个维度进行有效测量。同时采用了K-means聚类算法和相关的数据挖掘和统计方法对模型进行了验证，进一步确定了模型的实用价值。

关键词：消费行为市场细分聚类算法移动通信行业 consumer behavior market segmentation clustering method mobile communication industry

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转型经济下的中国经济趋同研究