Wireless Communication System and Its Application in Big Data Remote Monitoring and Decision-Making
Mathematical Problems in Engineering
; 2022, 2022.
Article
in English
| ProQuest Central | ID: covidwho-2038385
ABSTRACT
The development of computer technology has promoted the widespread application of unmanned technology. Remote monitoring of wireless devices is an application of unmanned technology. To improve the remote monitoring of wireless devices, this study establishes a remote monitoring and decision-making framework based on wireless communication systems. With the wireless communication system, signals that characterize the operating status of devices can be obtained in real-time. Based on the collected signals, the remote monitoring system can identify the current health status of wireless devices, thereby providing auxiliary decision-making for device operation. In the case study, the main engine of an unmanned surface vehicle is used as the study object. The results show that most of the relative errors corresponding to the state identification results of the established remote monitoring framework are within 5%. Moreover, the results present that the linear correlation coefficients between the predicted and real results are greater than 0.95. Therefore, the established remote monitoring framework based on the wireless communication system has good reliability in the state identification of wireless devices.
Engineering; Wireless communications; Big Data; Signal monitoring; Embedded systems; Deep learning; Fourier transforms; Surface vehicles; Signal processing; Decision making; Medical research; Wireless communication systems; Remote monitoring; Unmanned aerial vehicles; Devices; Unmanned vehicles; Communications systems; Monitoring systems; Identification systems; Coronaviruses; Correlation coefficients; COVID-19; Disease transmission
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
Mathematical Problems in Engineering
Year:
2022
Document Type:
Article
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