Open AccessDESIGN AND IMPLEMENTATION OF INTELLIGENT SEAWATER AUTOMATIC ON-LINE MONITORING SYSTEM BASED ON BIG DATA
Author(s) -
L. Y. Li,
Jingkui Yang,
Yumeng Lei,
Ke Xiong,
W. H. Chen,
Kai-Yung Lin,
Y. T. Chen,
Yilong Yu,
T. T. Chen,
X. C. Li,
Shiju Yan
Publication year - 2018
Publication title -
latin american applied research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 23
eISSN - 1851-8796
pISSN - 0327-0793
DOI - 10.52292/j.laar.2018.219
Subject(s) - seawater , data pre processing , preprocessor , computer science , test data , data processing , software , real time computing , data mining , embedded system , database , artificial intelligence , operating system , oceanography , programming language , geology
Based on large data analysis method and automatic detection technology, this paper designs a test system, which can realize intelligent online monitoring of seawater. Based on the theory of large data, the data preprocessing method of large data is applied by relying on the information transmitted by integrated sensors. Using data cleaning, data integration, data conversion and data reduction technology, a large number of data collected by marine monitoring devices are processed accurately. An automatic seawater monitoring system is designed on a software platform. Finally, combined with the experimental data of a certain sea area, the test results are analyzed, which proves the feasibility and effectiveness of the designed seawater online monitoring system. It has achieved the effect of seawater environmental analysis and early warning.