Journal
ALEXANDRIA ENGINEERING JOURNAL
Volume 60, Issue 5, Pages 4505-4515Publisher
ELSEVIER
DOI: 10.1016/j.aej.2021.02.032
Keywords
Water engineering; Improved ALO algorithm; Wireless network; Water injection test
Categories
Funding
- project of Academic achievement cultivation project of Key Laboratory of Ministry of education, Ministry of education, Ministry of education, Xihua University [SBZDPY-11-9]
- Open fund for water resources and Hydropower Engineering Science State Key Laboratory Wuhan University [2011B087]
- Open fund for Sichuan Li Bing Research Center [2018-85]
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The paper explains the importance of the anti-seepage wall project for the anti-seepage system of water conservancy and hydropower projects, introduces the application of wireless communication GPRS technology, and the network coverage optimization method based on the Antlion algorithm. The effectiveness of the method is verified through water injection tests.
The anti-seepage wall project is an important part of the anti-seepage system of water conservancy and hydropower projects, and it is the basic facility and barrier to resist floods and ensure the safety of people's lives and property. This paper analyzes the wireless communication GPRS (General Packet Radio Service) technology. After establishing a mathematical model and determining the optimal sensor deployment scheme, the mesh-type sensor network type is determined, and the overall design scheme of the system is analyzed. The wireless network completes the field information collection and instruction transmission, and transmits the field information to the remote monitoring platform for unified processing. In order to effectively improve the node coverage of wireless sensor networks, a network coverage optimization method based on a hybrid strategy to improve the Antlion algorithm is proposed. The continuity boundary shrinkage factor is used to improve the search traversal of the algorithm and accelerate the convergence speed. Dynamic weight coefficients are introduced during the elitization phase to balance the global exploration and local development capabilities of the algorithm. Combining the precocious convergence judgment mechanism and the dynamic hybrid mutation method, the algorithm can effectively jump out of the local optimum. The comparison experiments on 4 benchmark functions verify the effectiveness of the improved strategy. The water injection test was used to detect and evaluate the integrity and impermeability of the plastic concrete impervious wall. The drilling and excavation verification results confirmed the effectiveness and practicability of the method. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
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