Development of an Adaptive Monitoring System for Cabled Observatories in the Laizhou Bay

CHEN Jie; Lü Bin; LIU Chao; LIU Hai-lin

doi:10.13756/j.gtxyj.2022.05.011

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Development of an Adaptive Monitoring System for Cabled Observatories in the Laizhou Bay

更新时间：2023-01-29

- Development of an Adaptive Monitoring System for Cabled Observatories in the Laizhou Bay
- Study on Optical Communications Issue 5, Pages: 58-65(2022)
- 作者机构：
  
  齐鲁工业大学（山东省科学院），山东省科学院海洋仪器仪表研究所，山东　青岛　266001
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2022.05.011
  CLC： TP277
- Published：10 October 2022，
  
  Received：08 December 2021，
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CHEN Jie, Lü Bin, LIU Chao, et al. Development of an Adaptive Monitoring System for Cabled Observatories in the Laizhou Bay. [J]. Study on Optical Communications (5):58-65(2022)
DOI：

CHEN Jie, Lü Bin, LIU Chao, et al. Development of an Adaptive Monitoring System for Cabled Observatories in the Laizhou Bay. [J]. Study on Optical Communications (5):58-65(2022) DOI： 10.13756/j.gtxyj.2022.05.011.

摘要

文章为莱州湾海洋牧场海底观测网络开发了自适应可扩展的远程监控系统实现对海洋牧场环境的长期连续在线监测。针对观测网络的需求，文章建立了远程监控系统的控制模型，创新地设计出了针对海底观测网络数据海量、异构、多源和多维度等特点的通信机制以及通信协议，便于实现海底观测网络大量设备即插即用的动态管理算法，并改良了数据质量控制算法。莱州湾海洋牧场应用示范数据显示，数据丢包率低至1%，指令执行成功率达到98%，海底设备增删改时，系统可以在2 min内完成映射解析数据，同时，数据质量控制算法能有效剔除异常值，将错误率降低至0.000 81%。莱州湾海洋牧场成功应用的示范证明了该系统的性能和适用性，同时说明文章所提相关算法也可用于其他类似有自适应要求的系统中。

Abstract

This paper develops an adaptive and extensible remote monitoring system for seafloor observatory network in the Laizhou Bay marine ranch to realize long-term

continuous and on-line monitoring for marine ranch environment. According to the demand of seafloor observatory network

the control model of the remote monitoring system is established in this paper. And this paper creatively designs the communication mechanism

standardized communication protocol and dynamic management algorithm convenient for the plug and play of a large number of devices in the seafloor observatory network. The algorithm of data quality control is also improved. The application demonstration data of the marine ranch in Laizhou Bay shows that the package loss rate of the system is only 1%

and the success rate of instruction execution is as high as 98%. When adding

deleting and modifying seafloor devices

the system can complete the mapping and analysis data within 2 minutes. At the same time

the data quality control algorithm can effectively eliminate outliers and reduce the error rate to 0.000 81%. The successful application example of Laizhou Bay Marine ranch proves the performance and applicability of the system. It shows that the relevant algorithms in this paper can also be used in other similar systems with adaptive requirements.

关键词

海底观测网远程控制数据通信设备管理数据质量控制

Keywords

seafloor observatory networkremote monitoringdata communicationdevice managementdata quality control

references

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Saeed N, Celik A, Al-Naffouri T Y, et al. Connectivity Analysis of Underwater Optical Wireless Sensor Networks: A Graph Theoretic Approach[C]//2018 IEEE International Conference on Communications Workshops (ICC Workshops). Kansas City, USA: IEEE, 2018: 1-6.

高世阳, 李智刚, 孙凯. 海底有缆观测站数据采集、管理系统设计与海底运行验证[J]. 海洋技术学报, 2017, 36(3): 34-39.

Gao S Y, Li Z G, Sun K. Design and Operational Testing of the Data Acquisition and Management System of Seafloor Cabled Observatories[J]. Journal of Ocean Technology, 2017, 36(3): 34-39.

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