ZHONG Qiu-juan1 , LI Zi-y ang 2 , MA Fu-heng 2 , LI Cheng-cai3
( 1. Tang he Reser v oir Management Bur eau of L iaoning P r ovince , L iao ning 111000, China; 2. S tate K ey Labor ator y of H y dr ology2Water Reso ur ces and H y dr aulic Engineer ing , Nanj ing H y d raulic Resear ch I ns titute, N anj ing 210029, China; 3. College of Civ il and Tr ans p or tation Engineering , State K ey L abor ato ry of H y d rolog y2Water Resources and H y d raulic Engineer ing , H ohai Univers ity , Nanj ing 210098, China) Find this author on AllJournals Find this author on Google Scholar Find this author on BaiDu Find this author on PubMed Search for this author on this site
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Abstract:
The cur rent dam war ning diag nosis met ho ds hav e t he disadvantag es in the info rmation pro cessing and r esult pr esenta2 tion. In this paper , a blind diagnosis ana lysis method for the early war ning o f dam w as pro po sed based on the blind number theo2 r y. First, the w arning status reflected by w arning factor s was described in the blind number fo rm. Seco nd, the index w eig ht of each factor was determined by the AHP met ho d, and thus the war ning status o f each war ning factor can be calculated and ana2 lyzed using the blind number calculat ion algo rithm. Finally , the results o f each w arning factor w ere per formed no rmalizat ion pro2 cessing to o bta in the dam compr ehensive w arning in the blind number form. Based on the mo nitor ing data of Tanghe reserv oir, this met ho d can pr ov ide a blind diagnosis to the ea rly w arning o f reserv oir dam w ith g ood effect s.