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.

为了解决巴西皮乌姆希（Piumhi）具有相同特征的城市在污水基础设施管理方面的挑战，本研究旨在研究一种管理污水系统的工作方法，该方法旨在根据准确的信息采取预防措施并增加污水处理量。随着城市的增长和新项目区域被占用的决策质量，并优先考虑投资。通过与地方自治机构SAAE（供水和排污公共提供者）会面，制定了用于收集器和拦截器诊断以及收集井信息的野外调查策略。开发了一种基于Python代码的计算工具，以方便将地理参考数据输入QGis软件。还编写了预防性管理教程以及对污水网络未来项目的承包和监督。从水井调查中获得的信息显示出一些障碍，这是由SAAE先前采用的纠正管理模型以及由于人们对污水网络的运行缺乏了解所致。在网络映射过程中，发现了一些缺失的段，其中一些段是根据地形以及上游和下游井的分析进行了纠正。开发的工具允许独裁者的任何服务器都可以访问有关系统操作的信息。此外，它还可以识别问题并将其与现有网络的状况和功能进行比较，通过历史评估，可以定义预防措施和改善基础设施的策略。污水网络的注册允许使用匹配的GIS工具和BIM概念，创新管理流程，提高人们的出勤率，提高生活质量，并寻求其他公共管理人员可以使用的可持续发展模型，朝着这一概念迈进城市信息建模。