Multi-influence factor prediction for water bloom based on multi-sensor systemReport as inadecuate

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Engineering Review : International journal for publishing of original researches from the aspect of structural analysis, materials and new technologies in the field of mechanical engineering, shipbuilding, fundamental engineering sciences, computer sciences, electrical engin, Vol.34 No.2 June 2014. -

This paper proposes a new multi-influence factors

prediction method for water bloom prediction

based on a remote monitor system and multi-sensor

data taking into account the integrated effect of

multiple influential factors along with the

periodicity and random effect of environmental

variables. Valid and accurate water-bloom

prediction can be obtained by combining various

multidimensional time series methods. Comparing

the proposed model based on multi-sensors data to

a traditional one-dimensional time series model

based on one-sensor data, it has been found that a

multidimensional model is a useful and accurate

model for establishing multiple influential factors

time series of water bloom. The optimum model can

be used not only to predict water bloom but also to

determine the period and random change rule of

multiple influential factors.

prediction model; water bloom; parameter estimation

Author: Li Wang - Xiaoyi Wang - ; School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, Ch



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