Exploration of intelligent monitoring technology for the operation status of large port loading and unloading machinery equipment

Raja Pitchaiah *, Wang Qingjun, Xu Lei, Zheng Chunyu, Zhang Qian, Huang Jian hua, Hua nan, Li Ze hua and Anish Varghese Thomas

CSP Abu Dhabi Terminal, United Arab Emirates.
 
Review
International Journal of Science and Research Archive, 2024, 11(01), 1501–1505.
Article DOI: 10.30574/ijsra.2024.11.1.0181
Publication history: 
Received on 29 December 2023; revised on 03 February 2024; accepted on 06 February 2024
 
Abstract: 
This article takes the large-scale loading and unloading machinery equipment and intelligent monitoring technology in ports as the research This article takes the large-scale loading and unloading machinery equipment and intelligent monitoring technology in ports as the research object, with the goal of rational use of intelligent detection technology. It conducts research from two dimensions of intelligent monitoring technology content and implementation, and elaborates on five technologies: Internet of Things, BP neural network, signal acquisition, data It conducts research from two dimensions of intelligent monitoring technology content and implementation and elaborates on five technologies: Internet of Things, BP neural network, signal acquisition, data transmission, and data processing; Based on the example exploration method and focusing on the operation status of equipment and actual monitoring Based on the example exploration method and focusing on the operation status of equipment and actual monitoring needs, the system development is completed using intelligent monitoring technology. The system structure and software composition are discussed. Finally, through testing and verification, the system can eliminate blind spots in equipment monitoring, realize the value of intelligent monitoring technology, and effectively improve the operability of the system. technology, and effectively improve the operability of intelligent monitoring technology for the operation status of large port loading and unloading machinery equipment. The system can eliminate blind spots in equipment monitoring, realize the value of intelligent monitoring technology, and effectively improve the operability of intelligent monitoring technology for the operation status of large port loading and unloading machinery equipment.
 
Keywords: 
Port; Large scale loading and unloading machinery and equipment; Operating status; Intelligent monitoring technology
 
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