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Academic Journal of Environmental Biology, 2021, 2(3); doi: 10.38007/AJEB.2021.020304.

Water Environment Biological Monitoring System under the Background of Big Data

Author(s)

Malike Alasery

Corresponding Author:
Malike Alasery
Affiliation(s)

University of Garden City, Sudan

Abstract

Under the background of the rapid development of high and new technologies such as the Internet of Things and BD and the in-depth advancement of ecological civilization construction, water management has changed the traditional model of the information society with "green development, environmental protection, and ecological civilization". Using high quality and new technology to improve water management efficiency and bring real benefits of water management is very important for building a complete water management strategy. Therefore, the main purpose of this paper is to study the composition and development of the biological monitoring system (MS) of the water environment (WE) based on the background of big data (BD). Based on the understanding of key water quality factors, this paper finally selects three basic and most common water quality parameters for prototype debugging, namely pH value, turbidity, and temperature, making the water quality monitoring platform more versatile. Experiments show that the results obtained by the laboratory test method are close to the results obtained by the water quality MS in this design, indicating that the water quality monitoring lower computer system can accurately detect water quality-related parameters, and experiments show that when the turbidity value exceeds the preset alarm value, the The alarm function will be activated normally, and the alarm function will be normal.

Keywords

Big Data, Water Environment, Biological Monitoring, Water Environment Monitoring

Cite This Paper

Malike Alasery. Water Environment Biological Monitoring System under the Background of Big Data. Academic Journal of Environmental Biology (2021), Vol. 2, Issue 3: 28-38. https://doi.org/10.38007/AJEB.2021.020304.

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