Novel Method of Construction-Efficiency Evaluation of Cutter Suction Dredger Based on Real-Time Monitoring Data

被引:20
作者
Li, Mingchao [1 ]
Kong, Rui [1 ]
Han, Shuai [1 ]
Tian, Guiping [2 ]
Qin, Liang [2 ]
机构
[1] Tianjin Univ, State Key Lab Hydraul Engn Simulat & Safety, Tianjin 300354, Peoples R China
[2] Tianjin Dredging Co Ltd, Tianjin 300042, Peoples R China
关键词
Cutter suction dredger; Efficiency evaluation; Construction cycle; Algorithm of selecting cycle characteristic parameters (ASCCP); Real-time monitoring data; EQUIPMENT; MANAGEMENT; SUPPORT; OPTIMIZATION; PREDICTION; SAFETY;
D O I
10.1061/(ASCE)WW.1943-5460.0000485
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A work condition monitoring system is widely used for recording the real-time states of cutter suction dredgers during the dredging process. However, the obtained data cannot provide enough actionable information directly for construction efficiency. This paper presents a novel method to evaluate the construction efficiency of cutter suction dredgers from the perspective of construction cycles. The construction cycle related to dredging operations was first introduced. A new algorithm of selecting cycle characteristic parameters (ASCCP) was proposed to determine the cycle characteristic parameters. Combined with three-dimensional (3D) visualization of the dredging track of the dredger, the method of construction cycle recognition was established. Then, the efficiency-evaluation methods based on construction cycles and the time-utilization ratio were adopted to evaluate the construction efficiency. Finally, a case study showed that the proposed approach was feasible to evaluate the construction efficiency of the cutter suction dredger. Moreover, the methods of the present work can be implemented in any cutter suction dredger and aid construction project managers in managing equipment-related work tasks on construction sites.
引用
收藏
页数:14
相关论文
共 50 条
[21]   Key Technology of Real-Time Road Navigation Method Based on Intelligent Data Research [J].
Tang, Haijing ;
Liang, Yu ;
Huang, Zhongnan ;
Wang, Taoyi ;
He, Lin ;
Du, Yicong ;
Yang, Xu ;
Ding, Gangyi .
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2016, 2016
[22]   Real-time monitoring of disc cutter wear in tunnel boring machines: A sound and vibration sensor-based approach with machine learning technique [J].
Akhlaghi, Mohammad Amir ;
Bagherpour, Raheb ;
Hoseinie, Seyed Hadi .
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING, 2025, 17 (03) :1700-1722
[23]   Garment production line optimization using production information based on real-time power monitoring data [J].
Jung, Woo-Kyun ;
Song, Younguk ;
Suh, Eun Suk .
SYSTEMS ENGINEERING, 2024, 27 (02) :338-353
[24]   A Set of Satellite-Based Near Real-Time Meteorological Drought Monitoring Data over China [J].
Zhang, Xuejun ;
Su, Zhicheng ;
Lv, Juan ;
Liu, Weiwei ;
Ma, Miaomiao ;
Peng, Jian ;
Leng, Guoyong .
REMOTE SENSING, 2019, 11 (04)
[25]   Design and real-time evaluation of a novel observer-based predefined-time controller for the industrial processes [J].
Abadi, Ali Soltani Sharif ;
Dehkordi, Pouya Heidarpoor ;
Hajiyan, Reza ;
Kowalik, Ryszard ;
Wroblewski, Wiktor .
ISA TRANSACTIONS, 2025, 156 :551-564
[26]   Edge Computing Based Real-Time Streaming Data Mining Method for Wireless Sensor Networks [J].
Huang, Zhong-xing ;
Ren, Xiao-li ;
Zhou, Zai-ling ;
Zhu, He ;
Lin, Zhi-li .
ADVANCED HYBRID INFORMATION PROCESSING, PT II, 2022, 417 :144-155
[27]   A novel hybrid water quality forecast model based on real-time data decomposition and error correction [J].
Kim, Jusong ;
Yu, Jinwon ;
Kang, Chollyong ;
Ryang, Gwangil ;
Wei, Yanjie ;
Wang, Xiaoli .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2022, 162 :553-565
[28]   Real-Time Monitoring and Simulation of Multi-User Electricity Metering Anomaly Data Based on Distributed System [J].
Liu, Kai ;
Jia, Xuchao ;
Wang, Junlong ;
Ma, Xun ;
Li, Jiadong .
IEEE ACCESS, 2025, 13 :50876-50884
[29]   Novel real-time monitoring method of depths of cut and runout for milling process utilizing FFT analysis of cutting torque [J].
Lee, Kyungki ;
Hayasaka, Takehiro ;
Shamoto, Eiji .
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2023, 81 :36-49
[30]   An optimization method for shopfloor material handling based on real-time and multi-source manufacturing data [J].
Zhang, Yingfeng ;
Zhang, Geng ;
Du, Wei ;
Wang, Junqiang ;
Ali, Ebad ;
Sun, Shudong .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2015, 165 :282-292