Sistema para gerenciamento e visualização de rotas dos caminhões da coleta seletiva da cidade de Toledo - PR

Abstract

In the concept of Smart Cities, the Internet of Things aspire to make cities more sustainable and attractive, in addition to improving the quality of services offered to the population. In this way, it is essential that the data collected by the infrastructure is available to the population and the State, in order to improve decision-making capacity and promote awareness of public affairs. In this context, a partnership was created between UTFPR and the Toledo - PR Municipality, which aims to monitor some aspects of the city, including the fleet of trucks from the recyclable garbage collection. However, to achieve the objectives of the program, some items are still required, such as a form of visualization and management of the data collected by the sensor network, specifically the routes made by the vehicles. Therefore, the present work presents as a solution a system to allow the visualization and management of the tracking data of the trucks from the recyclable garbage collection in the city of Toledo, by the State, drivers of the selective garbage collection and the population in general. The system consists of an Web API integrated with Sentilo and Elasticsearch to present and agreggate value to the data obtained from the sensors network, as well as a web single-page interface, which allows the visualization of collected data through maps powered by OpenStreetMap, in addition to tools for routes control and to the opening/assistance of service calls related to the routes. Through the results obtained, it was possible to identify that the proposed system is aligned with the expected results, having high cohesion with the requirements that were raised and loose coupling, opening space for new integrations in future works.