Integração de dados em um modelo CityGML para auxiliar a gestão de sistemas de iluminação: uma aplicação

Abstract

As cities grow, they face challenges and the need to implement infrastructure to meet this expansion. Infrastructure consists of physical components and sectorized services that form essential networks for a country´s operation. Given the scale of this sector, organizing city information supported by integrated technological solutions becomes necessary, with systematization and ordering of urban processes serving as the basis for decision-making. This study aims to develop an operational model to assist in managing the public lighting network of the Federal University of Bahia´s Campus Federação Ondina (CFO) using the CityGML standard. To achieve this goal, the research aimed to explore the potential of existing technologies that could optimize public lighting system management, enabling decision-making based on precise information in line with Facilities Management (FM) principles and guidelines. Additionally, the study presented and analyzed applications adopting the CityGML standard in public lighting system management, as well as identified tools and methodologies for developing the CityGML model. The research was qualitative and exploratory in nature, seeking to delve into complex and underexplored processes, such as the use of Facilities Management technology in infrastructure management. Moreover, as experimental research strategy was employed, subjecting the study object to defined variable influences between physical space and public lighting system components. Data collection was carried at SUMAI, followed by application development in four stages: data entry into the system, geometric and semantic modeling, data processing, and conversion into CityGML and CityJson formats for subsequent validation testing, visualization, and editing. Various software were used during development, including SuperMap, FME, Val3dity, SketchUp, AutoCAD, and QGIS. Public lighting system management involves various elements such as strategic planning, expansion, operation, maintenance, asset management, security, and adoption of advanced technologies. Due to the campus´s complexity and extent and interest in deepening knowledge about CIM technology and other supporting technologies, an operational model was developed to assist in public lighting system management. The results are described in stages 3 and 4. In stage 3, a geometric and semantic model CFO with estimates of electricity consumption by pole type was developed. Stage 4 describes the development of the geometric and semantic model of CFO in the CityGML standard. The contribution highlights the use of a more automated process for model development, different CityGML modules utilization, pole rotation methodology, and analysis of challenges faced such as data consistency, standardization, data quality, interoperability, data maintenance and management, and new technology implementation. It is crucial to consider the complexity involved in evaluating and managing urban infrastructures and develop a model that meets the inherent needs of this process.