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Research on Sewage Monitoring and Water Quality Prediction Based on Wireless Sensors and Support Vector Machines
Joint Authors
Li, Hongji
Zhang, Qinkun
Liu, Cong
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-19
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Water resource protection has an important impact on ecosystem security and human survival.
Therefore, water quality testing and early warning of the sewage status are getting more and more attention.
In order to solve the problems of information transmission delay and insufficient water quality prediction in current water quality monitoring, this paper proposes a wireless sensor-based dynamic water quality monitoring and prediction technology.
Firstly, this paper uses the wireless sensor technology and ZigBee protocol to establish a sewage monitoring model and real-time dynamic monitoring of total nitrogen, total phosphorus, ammonia nitrogen, and other indicators of the water quality of the basin.
Secondly, on the basis of wireless monitoring, a support vector algorithm is used to construct a water quality prediction model to make a reasonable prediction of the water quality of the watershed.
Finally, the actual test results show that the technology can automatically and real-timely monitor the water quality of the watershed to meet the requirements of water quality monitoring in practical applications.
American Psychological Association (APA)
Liu, Cong& Li, Hongji& Zhang, Qinkun. 2020. Research on Sewage Monitoring and Water Quality Prediction Based on Wireless Sensors and Support Vector Machines. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1214734
Modern Language Association (MLA)
Liu, Cong…[et al.]. Research on Sewage Monitoring and Water Quality Prediction Based on Wireless Sensors and Support Vector Machines. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1214734
American Medical Association (AMA)
Liu, Cong& Li, Hongji& Zhang, Qinkun. Research on Sewage Monitoring and Water Quality Prediction Based on Wireless Sensors and Support Vector Machines. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1214734
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214734