Objectives: Develop an electronic prototype that respects the environment, through the use of microcontroller cards such as Arduino, Nodemcu, IoT concept and cloud for the control and measurement of water consumption. Objectives specific: Process the data provided by sensors and meters distributed in the main water supplies of the university, as well as the public and private sectors and combine them with information, such as consumption patterns, to build a sophisticated image of how the water network is behaving . through the concept of IoT, data mining, big data and cloud. Measure and evaluate the impacts of the results obtained by the smart meter and that provide the applications for the correct decision making. Objectives Methodologycs: Strengthen the research line of the work team, which sets the standard for us as part of an academic body, of proposing projects based on Internet of Things, Big-Data and data mining technologies, using as a platform the potential of the microcontroller boards (Photon, Arduino, etc.), to enter the new industrial model 4.0 - environment. Create an academic body that carries out research activities through the use of different research methods for the solution to different problems within the institution. Contribution The water resource is essential for life, however, society rarely thinks about the different ways of use that is generally given, or the many activities of daily life in which it is present, and how our life It would change if its availability were near the end of its life cycle. The present project arises from the need to have a better control in the water consumption registers mainly in the Technological University of the North of Guanajuato which is the place where this research originates and from these registers allow an analysis of the data of consumption with greater accuracy and the best decision making.
A Data Mining Based Model for Detection of Fraudulent Behaviour of Water Consumption using Python with Django