Abstract
To solve challenges in management of sewage infrastructure in cities with the same features of Piumhi, Brazil, this research seeks to study a method of work for the management sewage system that aims, based on accurate information, to act in a preventive way and increase the quality of the decision making as the city growths and new projects areas are occupied and to prioritize investments. Strategies for the field survey for the diagnosis of the collectors and interceptors and for wells’ information collect were stablished through meetings with the local autarchy SAAE (Water and Sewage Public Provider). A computational tool, based on Python codes, was developed to facilitate the input of georeferenced data into the QGis software. Tutorials of preventive management and contracting and supervision of future projects to the sewage network were also developed. The information obtained from the survey of the wells showed several barriers arising from the corrective management model adopted previously by SAAE and from ignorance of the population about the operation of the sewage network. During the network mapping, several stretches missing were found, some of them were corrected based on the analysis of the topography and of the wells upstream and downstream. The tool developed allows that any server of the autarchy gets access to the information about the operation of the system. Besides it allows the identification of problems and compares them to the conditions and features of the existing network, enables the definition of strategies of preventive actions and improvement of infrastructure from a historical assessment. The registration of the sewage network allowed match GIS tools and the BIM concepts, innovating the management process, improving the attendance to the population, increasing the quality of life and seeking a sustainable model that might be used by other public managers, walking towards the concept City Information Modeling.
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