| 胥皓,任焱晞,张涛,汪雪良,朱全华,陈国材,张朴.基于边云协同计算的浮桥运动姿态在线监测技术研究[J].装备环境工程,2023,20(9):133-142. XU Hao,REN Yan-xi,ZHANG Tao,WANG Xue-liang,ZHU Quan-hua,CHEN Guo-cai,ZHANG Pu.Online Monitoring Technology of Pontoon Motion Attitude Based on Edge-cloud Collaboration Computing[J].Equipment Environmental Engineering,2023,20(9):133-142. |
| 基于边云协同计算的浮桥运动姿态在线监测技术研究 |
| Online Monitoring Technology of Pontoon Motion Attitude Based on Edge-cloud Collaboration Computing |
| 投稿时间：2023-05-23 修订日期：2023-06-29 |
| DOI：10.7643/issn.1672-9242.2023.09.015 |
| 中文关键词: 边缘计算 卡尔曼滤波 浮桥 物联网平台 边云协同 姿态监测中图分类号:TP274 文献标识码:A 文章编号:1672-9242(2023)09-0133-10 |
| 英文关键词:edge computing kalman filter pontoon IoT platform edge-cloud collaboration attitude monitoring |
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| Author | Institution |
| XU Hao | China Ship Scientific Research Center, Jiangsu Wuxi 214082, China |
| REN Yan-xi | Unit 32212, Beijing 100093, China |
| ZHANG Tao | China Ship Scientific Research Center, Jiangsu Wuxi 214082, China;Taihu Laboratory of Deep Sea Technology and Science, Jiangsu Wuxi 214082, China |
| WANG Xue-liang | China Ship Scientific Research Center, Jiangsu Wuxi 214082, China;Taihu Laboratory of Deep Sea Technology and Science, Jiangsu Wuxi 214082, China |
| ZHU Quan-hua | China Ship Scientific Research Center, Jiangsu Wuxi 214082, China;Taihu Laboratory of Deep Sea Technology and Science, Jiangsu Wuxi 214082, China |
| CHEN Guo-cai | China Ship Scientific Research Center, Jiangsu Wuxi 214082, China |
| ZHANG Pu | China Ship Scientific Research Center, Jiangsu Wuxi 214082, China;Taihu Laboratory of Deep Sea Technology and Science, Jiangsu Wuxi 214082, China |
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| 中文摘要: |
| 目的 解决水面多模块浮体在离散状态和串联状态下的运动姿态时空同步监测问题。方法 基于边云协同技术，采用多个边缘计算节点同时采集结构姿态数据，并经由5G无线技术实时传输到物联网平台进行分析与监测，进而实现目标结构物姿态的快速监测。首先，根据临时结构物姿态监测的特点，分析得到姿态监测系统的总体设计架构与运行逻辑；其次，针对性地对物联网平台软件及边缘计算节点的各项功能模块进行分析设计；最后通过实船试验验证该监测系统。结果 该监测系统实现了多个浮体姿态数据的边缘采集与处理，并可通过无线网络传输到物联网平台进行存储与分析。在同一工况下，相邻浮桥的姿态具有一致性与相关性；在牵引工况下，中间浮桥的姿态变化更小；在顶推工况下，中间浮桥的姿态变化更大。结论 通过该技术能够监测到不同工况下多浮体结构物所产生的姿态变化，对于多浮体同步监测与数据融合处理问题具备一定的实用价值。 |
| 英文摘要: |
| The work aims to solve the problem in synchronous monitoring of the motion attitude of multi-module floating bodies on the water surface in discrete and tandem states. Multiple edge computing nodes were used to collect structural attitude data at the same time based on edge-cloud collaboration technology, and transmit the data to the IoT platform in real time through 5G wireless technology for analysis and monitoring, so as to realize the rapid monitoring of target structural attitude. Firstly, according to the characteristics of attitude monitoring of temporary structures, the overall design architecture and operation logic of the attitude monitoring system were analyzed. Secondly, the functional modules of IoT platform software and edge computing nodes were analyzed and designed. Finally, the monitoring system was verified by real ship test. The monitoring system realized the edge acquisition and processing of multiple floating body attitude data, and the date could be transmitted to the IoT platform through the wireless network for storage and analysis. Under the same working condition, the attitude of adjacent pontoon bridges had consistency and correlation. The attitude change of the middle pontoon bridge was smaller under the traction condition, and the attitude change of the middle pontoon bridge under the jacking condition was bigger. This technology can monitor the attitude changes of multi-floating structures under different working conditions, which has certain practical value for synchronous monitoring and data fusion processing of multiple floats. |
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