As hydroenergetic losses are inherent to water supply systems, they are a frequent issue which water utilities deal with every day. The control of network pressure is essential to reducing these losses, providing a quality supply to consumers, saving electricity and preserving piping from excess pressure. However, to obtain these benefits, it is necessary to overcome some difficulties such as sensing the pressure of geographically distant consumer units and developing a control logic that is capable of making use of the data from these sensors and, at the same time, a good solution in terms of cost benefit. Therefore, this work has the purpose of developing a pressure monitoring and control system for water supply networks, using the ESP8266 microcontroller to collect data from pressure sensors for the integrated ScadaLTS supervisory system via the REST API. The modeling of the plant was developed using artificial neural networks together with fuzzy pressure control, both designed using the Python language. The proposed method was tested by considering a pumping station and two reference units located in the city of João Pessoa, Brazil, in which there was an excess of pressure in the supply network and low performance from the old controls, during the night period from 12:00 a.m. to 6:00 a.m. The field results estimated 2.9% energy saving in relation to the previous form of control and a guarantee that the pressure in the network was at a healthy level.
Promoting access to safe drinking water and adequate sanitation is still a challenge to be achieved in Brazil, and in the world. Approaches based on the phenomenon of co-creation, supported by advances in information and communication technologies, are increasing the efficiency of various sectors of the economy. The objective of this work is to investigate how to use information technologies to enable co-creation processes in the WASH sector. The theoretical lens to guide the development of this work is anchored in two approaches, Sociotechnical and Service-dominant logic, due to the assumption that they can complement each other in directing the construction of artifacts for co-creation. This is an abductive research, based on the Data Science paradigm, supported by the Design Science Research (DSR) method. As an expected result, there is the proposal of an artifact validated in a real environment for co-creation in water supply services. As a theoretical contribution, it is expected to collaborate with the understanding of the articulation between the sociotechnical approaches and the dominant logic of services.
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