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기록

UNDERWATER VEHICLE FOR LAYING A SUBMARINE INFRASTRUCTURE CABLE

발명심사 중
1조회수
11청구항 · 1 독립항
§ Ⅰ

개요

발명자

Moshe ZUKERMAN; Zengfu WANG; Xinyu WANG; Elias TAHCHI

IPC 분류

B63G 8/B63G 8/39F16L 1/16G5D 1/644G5D 1/667G5D 107/G5D 109/30G6Q 30/283G6V 10/44G6V 20/5H2G 1/10H4L 41/14

CPC 분류

B63G8/1B63G8/39F16L1/165G5D1/6445G5D1/667G6Q30/283G6V10/44G6V20/5H2G1/10H4L41/145B63B2201/18B63B2203/B63B2213/B63G2008/4G5D2107/27G5D2109/38

The present invention provides a cable planning method based a fast marching method applied with simulated annealing (FMM/SA) algorithm. In the FMM/SA algorithm-based cable planning method, the FMM used to obtain the optimal submarine cable path with the lowest life-cycle cost, and the SA algorithm is used to continuously adjust the weight of each design consideration with the aim to achieve an optimal cable path that is as close as possible to a real-life cable path which has a history of cost-effectiveness and resilience. The set of weights contributed to the optimal cable path is then used as an optimal set of weights of design considerations for cable path planning. The FMM/SA algorithm-based cable planning method can provide a computationally effective approach which has lower computation costs and better performance in generating cable paths with optimal life-cycle cost and reliability.

원문 (중국어)

The present invention provides a cable planning method based a fast marching method applied with simulated annealing (FMM/SA) algorithm. In the FMM/SA algorithm-based cable planning method, the FMM used to obtain the optimal submarine cable path with the lowest life-cycle cost, and the SA algorithm is used to continuously adjust the weight of each design consideration with the aim to achieve an optimal cable path that is as close as possible to a real-life cable path which has a history of cost-effectiveness and resilience. The set of weights contributed to the optimal cable path is then used as an optimal set of weights of design considerations for cable path planning. The FMM/SA algorithm-based cable planning method can provide a computationally effective approach which has lower computation costs and better performance in generating cable paths with optimal life-cycle cost and reliability.