Correction of topological errors of utility network system

Utility infrastructure networks are becoming a larger and more complex system. For this reason, operators need a real-time, simple and powerful engineering infrastructure for operation. Nowadays, utility companies need to apply the Smart Grid concept to manage their physical assets and provide a better service to their customers and update these systems integrating with Geographical Information System (GIS). Infrastructure distribution agencies collect data of features in order to record their physical parameters. This collected dataset is stored in the GIS. The cost of collecting spatial data is much higher than the costs of other systems. However, the collected data may not be suitable for the system used. Faults can be occurred when importing data from fieldwork or objects drawn on GIS. In this case, a misplaced, inexhaustible spatial data set emerges. Collected data from the fieldwork is no longer integrated into the system if data is not appropriate. In this study, the problems that utility companies have related to spatial data have been examined and network data that the utility companies have been kept in GIS have been analyzed. And topological solutions were presented to increase the quality of the data. In this way, the topology of the network was improved and the network relations were corrected in the GIS environment b using simple micro program prepared via Python. The physical parameters of utilities are stored in a large and complex database of GIS system. It takes large amount of time to check, correct and report such large data by the team. Moreover, these kinds of mistakes can be repeated. By means of the improvements carried out in this study, used algorithms and programs were used successfully to automate the correction process of the topological errors in utility GIS network to obtain error free data set.