Research on Communication and Monitoring of Construction Machinery under the Framework of Wireless Sensor Network
DOI:
https://doi.org/10.54097/hset.v1i.475Keywords:
Wireless sensor network, construction machinery, communication and monitoring, machinery vibration monitoringAbstract
Aiming at the problem that the current wireless sensor network performance is low and cannot meet the requirements of high-precision synchronous acquisition of mechanical vibration signals, this paper proposes a synchronous acquisition method (SACD) based on cross-layer design. Based on this monitoring mode, an experimental platform is constructed to conduct a vibration signal measurement experiment, and compared with the wired vibration signal test and analysis method. The results show that the vibration monitoring mode based on the wireless sensor network can meet the basic requirements of mechanical vibration monitoring applications.
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Miao Mingming, Wu Jian. Research on Wireless Sensor Network System for Gun Sound Location. Electronic Design Engineering, 27(1) (2019) 55-62.
Sun Yujia, Yu Jiyan, Wang Xiaoming. Adaptive temperature compensation wireless sensor network time synchronization method. Chinese Journal of Scientific Instrument, 5(1) (2019) 105-112.
Wang Jun, Du Zhuangzhuang, He Zhitao, et al. Construction of a quantitative index system for the invulnerability of a cobweb-like farmland wireless sensor network. Transactions of the Chinese Society of Agricultural Engineering, 35(14) (2019) 95-99.
Cui Yong, Zhang Qian, Fu Li. Experimental teaching exploration of wireless sensor network based on cloud experimental platform. Experimental Technology and Management, 36(9) (2019) 32-34.
Peng Duo, Wang Weizhi, Yun Qi. OSFL-TLBO localization algorithm for wireless sensor network nodes. Journal of Sensor Technology, 33(3) (2020) 75-77.
Zhang Tie, Hong Jingdong, Liu Xiaogang. Demonstration method of robot torque-free sensor drag based on elastic friction model. Transactions of the Chinese Society of Agricultural Machinery, 50(1) (2019) 91-100.
Hong Lin, Li Xu, Wang Shengli, et al. Research on intelligent construction system of construction machinery based on multi-sensor fusion. Modern Manufacturing Engineering, 5(5) (2019) 132-138.
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