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Assessment on Agricultural Drought Risk Based on Variable Fuzzy Sets Model

Chinese Geographical Science 2011年第2期21卷 167-175页

作者： ZHANG Dan WANG Guoli zhou huicheng Faculty of Infrastructure Engineering Dalian University of Technology Dalian 116024 China Water Conservancy and Hydropower Science Research Institute of Liaoning Province Shenyang 110003 China

Drought is one of the major natural disasters causing huge agricultural losses annually. Regional agricultural drought risk assessment has great significance for reducing regional disaster and agricultural drought losses. Based on the fuzzy characteristics of agricultural drought risk, variable fuzzy sets model was used for comprehensively assessing agricultural drought risk of Liaoning Province in China. A multi-layers and multi-indices assessment model was estab-lished according to variable fuzzy sets theory, and agricultural drought risk of all 14 prefecture-level cities was respec-tively estimated in terms of dangerousness, vulnerability, exposure and drought-resistibility. By calculating the combi-nation weights of four drought risk factors, agricultural drought risk grade of each city was obtained. Based on the as-sessment results, the spatial distribution maps of agricultural drought risk were drawn. The results shows that eastern cities have lower drought dangerousness than western cities in Liaoning Province totally. Most cities are located in low drought vulnerability region and high drought exposure region. Because of frequent and severe drought since 2000, most cities are located in lower drought-resistibility region. Comprehensive agricultural drought risk presents apparent spatial characteristics, escalating from the east to the west. Drought dangerousness is the most important factor influencing comprehensive agricultural drought risk. Through the spatial distribution maps of drought risk, decision makers could find out drought situation and make decisions on drought resistance conveniently.

关键词： variable fuzzy sets relative membership degree agricultural drought risk risk assessment Liaoning Province

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Multi-reservoir joint operating rule in inter-basin water transfer-supply project

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Science China(Technological Sciences) 2015年第1期58卷 123-137页

作者： PENG AnBang PENG Yong zhou huicheng ZHANG Chi School of Hydraulic Engineering Dalian University of Technology

The joint operation of inter-basin water transfer-supply(IBWTS)project can be more complex when there is joint water demand in multi-reservoir system and multi-importing reservoirs simultaneously transferring water from exporting *** this study,a joint operating rule is proposed for the purpose of solving such complex operation *** rule is composed of a set of sub-rules,including hedging rule curves of virtual aggregation reservoir(*** reservoir)and other individual reservoirs,water-transfer rule curves of each individual reservoir,as well as some of important assisted *** assisted rules refer to allocation models for water *** the proposed rule,an equivalent reservoir is established to determine under what condition the water supply should be reduced and specify the total supplied water for joint water demand(*** method).Allocation models are developed to distribute the total transferred water into each importing reservoir and determine the water releases for joint water demand by each member reservoir of the aggregation system(*** method).And these models are integrated with a set of influence factors such as hydrologic characteristics,reservoir storage or vacant storage,regulating ability,water-supply pressure,and so *** aggregation of multi-reservoirs and the disaggregation of water quantities are taken into a whole consideration to reduce the complexity in reallocation of water target storage or water ***,the proposed rule is applied to the North-line IBWTS Project in Liaoning Province,*** results indicate that the proposed rule can take full advantage of hydrologic compensation in basins and capacity compensation in *** it can improve the utilization efficiency of water resources in system.

关键词： inter-basin water transfer joint operating rule equivalent reservoir water-transfer allocation water-supply allocation

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Risk analysis of dynamic control of reservoir limited water level by considering flood forecast error

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Science China(Technological Sciences) 2011年第7期54卷 1888-1893页

作者： ZHANG YanPing WANG GuoLi PENG Yong zhou huicheng School of Hydraulic Engineering Dalian University of Technology Dalian 116024 China

Flood control forecast operation mode is one of the main ways for determining the upper bound of dynamic control of flood limited water level during flood season. The floodwater utilization rate can be effectively increased by using flood forecast information and flood control forecast operation mode. In this paper, Dahuofang Reservoir is selected as a case study. At first, the distribution pattern and the bound of forecast error which is a key source of risk are analyzed. Then, based on the definition of flood risk, the risk of dynamic control of reservoir flood limited water level within different flood forecast error bounds is studied. The results show that, the dynamic control of reservoir flood limited water level with flood forecast information can increase the floodwater utilization rate without increasing flood control risk effectively and it is feasible in practice.

关键词： flood forecast error flood control forecast operation mode dynamic control of flood limited water level risk analysis Dahuofang Reservoir

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Harmonic reducer in-situ fault diagnosis for industrial robots based on deep learning

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Science China(Technological Sciences) 2022年第9期65卷 2116-2126页

作者： zhou Xing zhou huicheng HE YiMing HUANG ShiFeng ZHU ZhiHong CHEN JiHong School of Mechanical Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China Foshan Institute of Intelligent Equipment Technology Foshan 528234China

The harmonic reducer is an essential kinetic transmission component in the industrial *** is easy to be fatigued and resulted in physical malfunction after a long period of ***,an accurate in-situ fault diagnosis for the harmonic reducers in an industrial robot is especially *** paper proposes a fault diagnosis method based on deep learning for the harmonic reducer of industrial robots via consecutive time-domain vibration *** the sampling signals from industrial robots are long,narrow,and channel-independent,this method combined a 1-dimensional convolutional neural network with matrix kernels(1-D MCNN)adaptive *** adjusting the size of the convolution kernels,it can concentrate on the contextual feature extraction of consecutive time-domain data while retaining the ability to process the multi-channel fusion *** proposed method is examined on a physical industrial robot platform,which has achieved a prediction accuracy of99%.Its performance is appeared to be superior in comparison to the traditional 2-dimensional CNN,deep sparse automatic encoding network(DSAE),multilayer perceptual network(MLP),and support vector machine(SVM).

关键词： harmonic reducer industrial robots fault diagnosis convolutional neural network(CNN)

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Research and application of flood detention modeling for ponds and small reservoirs based on remote sensing data

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Science China(Technological Sciences) 2011年第8期54卷 2138-2144页

作者： CAO MingLiang zhou huicheng ZHANG Chi ZHANG AiJing LI HuiYun YANG Yang School of Hydraulic Engineering Dalian University of Technology Dalian 116024 China Sichuan Provincial Investigation Design & Research Institute of Water Conservancy & Hydropower Chengdu 610072 China

This paper proposes a method of small reservoir flood detention modeling that utilizes data from the American land resources satellite Landsat TM/ETM+. Precipitation and potential evapotranspiration are taken as the control conditions in this method on the basis of basin terrain classification. The objective of this method is to solve the question of a small-scale water conservancy project’s influence on flood forecasting precision, which can be used in the basin with multitudinous small reservoirs in the upstream region and can help estimate non-runoff data for small reservoir runoff. Taking the 20060826 flood as an example, the flood detention quantity of 19 small reservoirs is modeled. The results show that the absolute error of the total flood detention quantity is 0.2×10 4 m 3 , and the relative error is 0.12%. The flood detention quantity of small reservoirs in the entire basin is then modeled using this method, and the primary flood forecasting model is adjusted. After adjustment, the precision is significantly improved, with the relative error decreasing from 31.8% to 10.1%.

关键词： remote sensing data small reservoir flood detention modeling

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Toward Intelligent Machine Tool

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Engineering 2019年第4期5卷 679-690页

作者： Jihong Chen Pengcheng Hu huicheng zhou Jianzhong Yang Jiejun Xie Yakun Jiang Zhiqiang Gao Chenglei Zhang National Numerical Control System Engineering Research Center Huazhong University of Science and TechnologyWuhan 430074China

With the development of modern information technology-and particularly of the new generation of artificial intelligence(AI)technology-new opportunities are available for the development of the intelligent machine tool(IMT).Based on the three classical paradigms of intelligent manufacturing as defined by the Chinese Academy of Engineering,the concept,characteristics,and systemic structure of the IMT are presented in this *** stages of machine tool evolution-from the manually operated machine tool(MOMT)to the IMT-are discussed,including the numerical control machine tool(NCMT),the smart machine tool(SMT),and the ***,the four intelligent control principles of the IMT-namely,autonomous sensing and connection,autonomous learning and modeling,autonomous optimization and decision-making,and autonomous control and execution-are presented in *** paper then points out that the essential characteristic of the IMT is to acquire and accumulate knowledge through learning,and presents original key enabling technologies,including the instruction-domain-based analytical approach,theoretical and big-data-based hybrid modeling technology,and the double-code control *** on this research,an intelligent numerical control(INC)system and industrial prototypes of IMTs are *** intelligent practices are conducted,demonstrating that the integration of the new generation of AI technology with advanced manufacturing technology is a feasible and convenient way to advance machine tools toward the IMT.

关键词： Intelligent manufacturing Intelligent machine tool Intelligent numerical controller New-generation artificial intelligence

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CPS Modeling of CNC Machine Tool Work Processes Using an Instruction-Domain Based Approach

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Engineering 2015年第2期1卷 247-260页

作者： Jihong Chen Jianzhong Yang huicheng zhou Hua Xiang Zhihong Zhu Yesong Li Chen-Han Lee Guangda Xu National Numerical Control System Engineering Research Center Huazhong University of Science and Technology

Building cyber-physical system(CPS) models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control(CNC) system during the work processes of a CNC machine tool is the main source of the big data on which a CPS model is established. In this work-process model, a method based on instruction domain is applied to analyze the electronic big data, and a quantitative description of the numerical control(NC) processes is built according to the G code of the processes. Utilizing the instruction domain, a work-process CPS model is established on the basis of the accurate, real-time mapping of the manufacturing tasks, resources, and status of the CNC machine tool. Using such models, case studies are conducted on intelligent-machining applications, such as the optimization of NC processing parameters and the health assurance of CNC machine tools.

关键词： cyber-physical system (CPS) big data computer numerical control (CNC) machine tool electronic data of work processes instruction domain intelligent machining

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可变模糊集理论在旱涝灾害评价中的应用

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农业工程学报 2009年第9期25卷 56-61页

作者：周惠成张丹大连理工大学土木水利学院大连116024

旱涝灾害是制约农业经济发展的最主要的自然灾害,旱涝灾害评价在农业防汛抗旱减灾决策中起着至关重要的作用。该文根据旱涝灾害的模糊不确定性,基于可变模糊集理论,确定样本指标对各级标准区间的相对隶属度,以山东省全年旱涝灾害为例,... 详细信息

旱涝灾害是制约农业经济发展的最主要的自然灾害,旱涝灾害评价在农业防汛抗旱减灾决策中起着至关重要的作用。该文根据旱涝灾害的模糊不确定性,基于可变模糊集理论,确定样本指标对各级标准区间的相对隶属度,以山东省全年旱涝灾害为例,将可变模糊集理论应用于旱涝等级评价中,采用多种参数组合,可变模型(1个线性,3个非线性)进行评价,确定出样本的评价等级,并将其评价结果与模糊综合评价结果进行比较。应用实例表明,该模型计算简便,评价结果可信度高,为旱涝灾害的评价提供了参考。

关键词：旱灾洪涝模糊集灾害评价相对隶属度

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水库汛限水位动态控制方案优选研究

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水力发电学报 2009年第4期28卷 27-32页

作者：周惠成李伟张弛大连理工大学土木水利学院辽宁大连116024

在分析水库汛限水位动态控制影响因素的基础上,建立了汛限水位动态控制方案优选评价指标体系,应用丹麦DHI公司研发的MIKE水力计算软件建立了水库下游洪灾淹没损失评估模型。最后以大连市碧流河水库为例,分析计算了在抬高汛限水位后水库... 详细信息

在分析水库汛限水位动态控制影响因素的基础上,建立了汛限水位动态控制方案优选评价指标体系,应用丹麦DHI公司研发的MIKE水力计算软件建立了水库下游洪灾淹没损失评估模型。最后以大连市碧流河水库为例,分析计算了在抬高汛限水位后水库下游城子坦镇的洪灾淹没风险损失,并结合水库防洪风险、年平均发电量、洪水资源利用率及供水保证率可靠度四项指标,采用可变模糊优选模型对汛限水位动态控制方案进行优选计算,进而确定了水库实时调度过程中汛限水位动态控制的满意决策方案。

关键词：水利管理汛限水位动态控制模糊优选淹没风险损失

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我国水库(群)调度理论方法研究应用现状与展望

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水利学报 2016年第3期47卷 337-345页

作者：王本德周惠成卢迪大连理工大学水资源与防洪研究所辽宁大连116024

水库(群)调度理论方法是防洪减灾与水资源高效利用的热点研究问题,其研究成果的应用可以在不改变水库工程规模前提下显著增加防洪与兴利效益,因而也受到工程界的高度关注。我国对水库(群)调度比较系统的研究始于20世纪70年代,现已取得... 详细信息

水库(群)调度理论方法是防洪减灾与水资源高效利用的热点研究问题,其研究成果的应用可以在不改变水库工程规模前提下显著增加防洪与兴利效益,因而也受到工程界的高度关注。我国对水库(群)调度比较系统的研究始于20世纪70年代,现已取得大量高水平研究成果。本文基于复杂巨系统的构架,从调度的可利用信息、调度模型构建及求解技术、调度决策方案评价、实时调度系统开发设计与应用等方面综述我国水库(群)调度理论方法研究应用现状,展望水库调度理论研究与工程实践所亟待解决的问题及其发展趋势,以期对于相关研究具有一定参考价值。

关键词：水库群调度可利用信息模型构建求解技术方案评价

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