测绘与空间地理信息
測繪與空間地理信息
측회여공간지리신식
GEOMATICS & SPATIAL INFORMATION TECHNOLOGY
2013年
9期
33-36
,共4页
大坝变形监测%位移强度%基因表达式编程%聚类分析
大壩變形鑑測%位移彊度%基因錶達式編程%聚類分析
대패변형감측%위이강도%기인표체식편정%취류분석
dam deformation monitoring%displacement intensity%gene expression programming%cluster analysis
在水利水电事业不断发展的今天,大坝的变形监测显得尤其的重要。大坝变形监测的最终目的是通过监测点的变形数据来预测大坝变形未来的变形量。这也是传统的大坝变形监测常用的预测方法,然而这些方法都只是针对单个监测点进行预测,却不能反映大坝的整体形变。对于大坝整体变形的研究方面,虽然出现了一些有关多测点的研究方法,但距离大坝整体变形的目标还是相差甚远。针对这种情况,本文提出用聚类分析的方法来研究大坝整体变形规律。并将具有高效的全局搜索能力和高效的数据挖掘能力的进化算法---基因表达式编程算法用于聚类分析模型的建立中。提出基因表达是编程的大坝位移强度聚类分析模型。通过实例证明该模型能够反映大坝的整体变形规律。
在水利水電事業不斷髮展的今天,大壩的變形鑑測顯得尤其的重要。大壩變形鑑測的最終目的是通過鑑測點的變形數據來預測大壩變形未來的變形量。這也是傳統的大壩變形鑑測常用的預測方法,然而這些方法都隻是針對單箇鑑測點進行預測,卻不能反映大壩的整體形變。對于大壩整體變形的研究方麵,雖然齣現瞭一些有關多測點的研究方法,但距離大壩整體變形的目標還是相差甚遠。針對這種情況,本文提齣用聚類分析的方法來研究大壩整體變形規律。併將具有高效的全跼搜索能力和高效的數據挖掘能力的進化算法---基因錶達式編程算法用于聚類分析模型的建立中。提齣基因錶達是編程的大壩位移彊度聚類分析模型。通過實例證明該模型能夠反映大壩的整體變形規律。
재수이수전사업불단발전적금천,대패적변형감측현득우기적중요。대패변형감측적최종목적시통과감측점적변형수거래예측대패변형미래적변형량。저야시전통적대패변형감측상용적예측방법,연이저사방법도지시침대단개감측점진행예측,각불능반영대패적정체형변。대우대패정체변형적연구방면,수연출현료일사유관다측점적연구방법,단거리대패정체변형적목표환시상차심원。침대저충정황,본문제출용취류분석적방법래연구대패정체변형규률。병장구유고효적전국수색능력화고효적수거알굴능력적진화산법---기인표체식편정산법용우취류분석모형적건립중。제출기인표체시편정적대패위이강도취류분석모형。통과실예증명해모형능구반영대패적정체변형규률。
Today with the continuing development of hydropower , dam deformation monitoring is especially important .The ultimate goal of dam deformation monitoring is through the monitoring deformation data to predict the deformation of the dam deformation in the future.This is traditional commonly used prediction of dam deformation monitoring method .However, these methods are just for a sin-gle monitoring point forecast , and do not reflect the overall deformation of the dam .For whole dam deformation research , although there have been some studies of multipoint method , but it is still far from the whole dam deformation ’s target.According to this situa-tion, this paper proposes using clustering analysis method to study the integrate deformation patterns , and puts forward the gene ex-pression programming algorithm which has an efficient global search ability and efficient data mining ability into the setting up of the model of cluster analysis .The paper suggests the clustering analysis model of dam displacement intensity based on gene expression programming algorithm through examples which prove that the model can reflect the overall deformation law of dam .