Design and test of intelligent inspection and monitoring system for cotton bale storage based on RFID
文献类型: 外文期刊
第一作者: Zhang, Weipeng
作者: Zhang, Weipeng;Zhao, Bo;Zhou, Liming;Jiang, Hanlu;Niu, Kang;Yang, Qizhi;Ding, Jian
作者机构:
期刊名称:SCIENTIFIC REPORTS ( 影响因子:4.996; 五年影响因子:5.516 )
ISSN: 2045-2322
年卷期: 2022 年 12 卷 1 期
页码:
收录情况: SCI
摘要: To solve the inspection problems in cotton storage, as well as the need for environmental monitoring in the process of modern cotton bale storage, an intelligent inspection and temperature and humidity intelligent monitoring system based on RFID cotton bale was developed by adopting RFID (Radio Frequency Identification) technology, wireless temperature and humidity real-time monitoring technology and handheld terminal intelligent inspection technology. The system was composed of RFID positioning inspection module and temperature and humidity real-time monitoring and transmission module. The artificial neural network (ANN) based on the particle swarm optimization (PSO) algorithm was used to process the monitoring data of the system by Gaussian filtering, and an accurate classification model of RSSI and label position was established. The test results showed that: Through the comparative analysis of the RFID indoor positioning algorithm, the positioning error of the PSO-ANN algorithm was small. In the actual cotton bale warehouse test, the relative error of positioning and monitoring for RFID cotton bale intelligent inspection and monitoring system was less than 6.7%, which effectively improved the working efficiency of inspection personnel and the security of cotton bale storage. The relative error of temperature and humidity was less than 8% and less than 7%, which could display the temperature and humidity information in real time and meet the real-time demand. This study improved the management personnel's effective positioning and inspection of the cotton bale, prevented the loss of cotton bale, reduced the deterioration probability of cotton bale, and effectively improved the storage management level of the cotton bale. It was of great practical significance to realize the networking, automation, and intelligence of cotton bale storage management.
分类号:
- 相关文献
作者其他论文 更多>>
-
Transcriptome and WGCNA reveals the potential genetic basis of photoperiod-sensitive male sterility in soybean
作者:Yang, Yuhua;Xu, Lihong;Wang, Minggui;Chen, Shuichun;Bai, Zhiyuan;Zhang, Haiping;Zhang, Ruijun;Yang, Yuhua;He, Suqin;Zhao, Bo;Wang, Lixiang;He, Suqin;Xu, Lihong;Wang, Minggui;Chen, Shuichun;Yang, Tingting;Zhao, Bo;Wang, Lixiang;Zhang, Jiangjiang
关键词:Soybean; Photoperiod-sensitive genic male sterility; WGCNA; Photoperiod stress; Hybrid breeding
-
Genetic Diversity and Population Structure of the Chinese Three-Keeled Pond Turtle (Mauremys reevesii)
作者:Zhou, Chenyao;Zhu, Xinping;Zhao, Bo;Zhou, Chenyao;Xu, Haoyang;Liu, Haiyang;Li, Jipeng;Li, Wei;Hong, Xiaoyou;Chen, Chen;Ji, Liqin;Zhu, Xinping;Liu, Xiaoli;Xu, Haoyang;Li, Jipeng;Li, Wei;Zhu, Xinping;Liu, Xiaoli
关键词:
Mauremys reevesii ; population genomics; population structure; whole-genome resequencing -
CONSTRUCTION OF FULL-SPACE STATE MODEL AND PREDICTION OF PLANT GROWTH INFORMATION
作者:Wang, Ruixue;Chen, Kaikang;Zhao, Bo;Zhou, Liming;Zhu, Licheng;Lv, Chengxu;Han, Zhenhao;Lu, Kunlei;Feng, Xuguang;Zhao, Siyuan
关键词:Back propagation neural network; Digital twins technology; Lettuce; Plant factory; State prediction
-
Parallel RepConv network: Efficient vineyard obstacle detection with adaptability to multi-illumination conditions
作者:Cui, Xuezhi;Zhu, Licheng;Zhao, Bo;Wang, Ruixue;Han, Zhenhao;Zhang, Weipeng;Dong, Lizhong
关键词:Obstacle detection; Parallel RepConv network (PRCN); Vineyard environment; Balance
-
DESIGN OF A DETECTION AND SORTING SYSTEM FOR BROKEN CORN KERNELS WITH AN ONLINE IDENTIFICATION METHOD
作者:Cui, Chunxiao;Yao, Yanchun;Lin, Jie;Wang, Faying;Li, Xibin;Yao, Yanchun;Cui, Chunxiao;Yao, Yanchun;Li, Xibin;Jiang, Wenjuan;Zhao, Bo
关键词:Broken; Convolutional neural network; Corn kernels; Detection; Sorting
-
Rapid Detection of Ripe Tomatoes in Unstructured Environments
作者:Qi, Jiangtao;Cong, Xv;Zhang, Weirong;Gao, Fangfang;Guo, Hui;Qi, Jiangtao;Cong, Xv;Zhang, Weirong;Gao, Fangfang;Guo, Hui;Qi, Jiangtao;Cong, Xv;Zhang, Weirong;Gao, Fangfang;Guo, Hui;Zhao, Bo
关键词:DBB heavy parameter; FasterNet; Global attention mechanism; Object detection; Tomato; Unstructured environments; YOLOv7
-
Semantic segmentation-based observation pose estimation method for tomato harvesting robots
作者:Dong, Lizhong;Zhu, Licheng;Zhao, Bo;Wang, Ruixue;Ni, Jipeng;Liu, Suchun;Chen, Kaikang;Cui, Xuezhi;Zhou, Liming
关键词:Machine vision; Deep learning; Semantic segmentation; Harvesting robot