针对时序型数据的短、长期智能预测,目标跟踪以及物联网平台和系统构建

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首先构建了一套长短期水质预测算法模型,首次提出了考虑相关性的深度学习预测方法;其次建立了一套水下鱼体行为检测和预警模型;最后构建了一套完整的水下鱼体行为检测和跟踪、水质监测和预测物联网智慧平台。
以上的工作在海南陵水新村港得到了应用示范,取得了较好的成效。

Firstly, a set of long and short-term water quality prediction algorithm model was constructed, and a deep learning prediction method considering correlation was proposed for the first time. Secondly, a set of underwater fish behavior detection and early warning model was built. Finally, a complete set of underwater fish behavior detection and tracking, water quality monitoring and prediction IoT wisdom platform was constructed. The above work has been applied and demonstrated in Xincun Port, Lingshui County, Hainan Province, China, with good results.


相关成果

2022

  1. [EI]Longqin Gong, Zhuhua Hu*, Xaioyi Zhou. A real time video object tracking method for fish [C]. the 6th International Conference on Machine Learning and Soft Computing (ICMLSC 2022), Haikou, China, January 15-17, 2022. (EI) 基金:Grant No. 61963012 and Grant no. 62161010
  2. [EI]Zhuhua Hu, Xianghui Li, Xinyu Xie, Yaochi Zhao*. Abnormal Behavior Recognition of Underwater Fish Body Based on C3D Model [C]. the 6th International Conference on Machine Learning and Soft Computing (ICMLSC 2022), Haikou, China, January 15-17, 2022. (EI) 基金:Grant No. 61963012 and Grant no. 62161010
  3. [EI]Longqin Gong, Zhuhua Hu*, Xaioyi Zhou.A few samples underwater fish tracking method based on semi-supervised and attention mechanism, 2022 6th International Conference on Robotics, Control and Automation (ICRCA), Xiamen, China, February 26-28, Pages 18-22, 2022. (EI) 基金:Grant No. 61963012 and Grant no. 62161010
  4. [SCI]Yaochi Zhao, Shiguang Liu*,Zhuhua Hu.Dynamically balancing class losses in imbalanced deep learning[J]. Electronics Letters, 2022, 58(5): 203-206. (SCI) 基金:Grant No. 61963012 and Grant no. 62161010
  5. [SCI]Zhuhua Hu, Ruoqing Li, Xin Xia, Chuang Yu, Xiang Fan, Yaochi Zhao. A method overview in smart aquaculture[J]. Environmental Monitoring and Assessment, 2020, 192(8): 1-25. (SCI, 中科院4区,IF: 1.959) 基金:Grant No. 61963012

2021

  1. [SCI]Yuexin Fu, Zhuhua Hu*, Yaochi Zhao, Mengxing Huang*. A Long-Term Water Quality Prediction Method Based on the Temporal Convolutional Network in Smart Mariculture[J]. Water, 2021, 13(20): 2907. (SCI, 中科院3区,if:3.103) 基金:Grant No. 61963012 and Grant no. 62161010
  2. [EI]Xianghui Li, Xin Xia,Zhuhua Hu*, Bing Han, Yaochi Zhao*. Intelligent Detection of Underwater Fish Speed Characteristics Based on Deep Learning [C]. the 5th Asian Conference on Artificial Intelligence Technology in Haikou,China (ACAIT 2021), Haikou,China, October 29-31 2021. (EI) 基金:Grant No. 61963012 and Grant no. 62161010
  3. [EI]Xinyu Xie, Jiaying Wang, Zhuhua Hu*, Yaochi Zhao*. Intelligent Detection of Mango Disease Spores Based on Mask Scoring R-CNN [C]. the 5th Asian Conference on Artificial Intelligence Technology in Haikou,China (ACAIT 2021), Haikou,China, October 29-31 2021. (EI) 基金:Grant No. 61963012 and Grant no. 62161010

2020

  1. [SCI]Juntao Liu, Chuang Yu, Zhuhua Hu*, Yaochi Zhao, Yong Bai, Mingshan Xie, Jian Luo, Accurate Prediction Scheme of Water Quality in Smart Mariculture With Deep Bi-S-SRU Learning Network [J]. IEEE Access, vol. 8, pp. 24784-24798, 2020. (SCI, 2区,IF:4.098) 基金:Grant No. 61963012

2019

  1. [SCI]Zhuhua Hu, Yiran Zhang, Yaochi Zhao *, Mingshan Xie, Jiezhuo Zhong, Zhigang Tu and Juntao Liu. A Water Quality Prediction Method Based on the Deep LSTM Network Considering Correlation in Smart Mariculture [J]. Sensors, 2019, 19(6): 1420. (SCI 3区, IF= 3.031).
  2. [EI]Xin Xia, Yaochi Zhao, Zhuhua Hu*, Zezhong Wang, Chuang Yu ,Yong Bai. Fish Behavior Tracking Algorithm Based on Multi-Domain Deep Convolutional Neural Network [C]. 2019 4th International Conference on Multimedia Systems and Signal Processing (ICMSSP 2019), Guang Zhou, China, May 10-12, 2019. (EI会议)

2018

  1. [IEEE]Juntao Liu, Chuang Yu, Zhuhua Hu*, Yaochi Zhao, Xin Xia and Ruoqing Li. Automatic and Accurate Prediction of Key Water Quality Parameters Based on SRU Deep Learning in Mariculture[C]2018 IEEE International Conference on Advanced Manufacturing (ICAM). IEEE,2018: 437-440. (EI会议)
  2. [IEEE]Zhuhua Hu, Boyi Liu*, Yaochi Zhao, Mengxing Huang, Yong Bai and Fusheng Lin. Recognition of Pyralidae Insects with Unmanned Monitoring Robot Based on Histogram Reverse Mapping and Invariant Moment[C].2018 IEEE International Conference on Advanced Manufacturing (ICAM). IEEE, 2018: 407-410. (EI会议)

2015

  1. [EI]赵瑶池, 胡祝华. 基于嵌入式 Linux 平台的网络视频点播系统[J]. 西部广播电视, 2015 (17): 256-256.