Proposal of a computational intelligence prediction model based on Internet of Things technologies

The new challenges of the humanity imply new challenges that require a research with novel proposals and oriented to problems that imply cyber-physical systems (CPS). Another aspect is the climate changes and the low economic resources in some regions of the world require new models of data collection through new technologies such as IoT and its processing for the use of different actors from ordinary citizens, state organizations to researchers in natural disasters. This proposal is oriented to the use of data based on IoT network to provide information to the prediction model using computational intelligence (IC) techniques to perform flood prediction. This preliminary experiment uses data from different sources using the cellular telephone network with meteorology and hydrology stations. The conditioning of data variables such as level (m), precipitation (mm of H2O), temperature (degrees C) among other variables to the model implies a preliminary adjustment as the same development of the IC model. The number of variables to he used in the preliminary model IC are three variables as a basis for the proposed experiment and will be extended to the final model. The results obtained will be part of other projects oriented to the implementation the applications in agriculture and data processing. This project is being developed by the Universidad Distrital Francisco Jose de Caldas and the Uniagraria Foundation of Colombia.