Dataset
1. Dataset of Montpellier, France
Description: The dataset under analysis pertains to the drainage system of Montpellier, specifically focusing on the town of Prades-le-Lez in France. This comprehensive dataset is meticulously designed to capture and present anomalies in manholes, utilizing multiple formats to provide a holistic understanding. It includes GPS coordinates to accurately pinpoint the location of manholes, alongside videos and images that visually document their condition. Furthermore, the dataset incorporates textual documents that detail the abnormalities, offering descriptive insights into the structural or functional issues detected. Additionally, the data is integrated into a map format, enhancing spatial visualization and enabling users to better comprehend the geographic distribution of manholes and their associated irregularities. The inclusion of this diverse array of data types underscores the dataset's robustness, making it a valuable resource for urban infrastructure management, drainage system optimization, and maintenance planning. This regional focus on Prades-le-Lez exemplifies a targeted effort to address local drainage concerns within the broader framework of Montpellier's urban planning initiatives.
Link to download: to be provided soon
2. Dataset of Can tho city, Vietnam
Description: Collecting the dataset of manhole on streets in Can Tho, Vietnam. The data collected from the images and videos will provide detailed information about each manhole captured, including specific details such as the address (house number, street name, district, and city), longitude, latitude, and the exact date and time the photo or video was taken. This comprehensive data will allow for precise tracking and analysis of the manhole locations and conditions across Can Tho, ensuring accurate records for future maintenance and improvements. We collected more 3700 images with three times: Dataset 1 (1083 images), Image dataset 2 ( 1548 images), Image dataset 3 (1107 images) and more 30 videos . The manholes are categorized into four types. Each type has about more $850$ images.
Our application is here
Link to download: Download 1, Download 2, Download 3, Download 4, Download 5
3. Sewer Network ontology (SewerNet)
Description: The developed Sewer Network ontology (SewerNet) describes the structure of the wastewater and stormwater networks, their elements, and their qualities. It also incorporates events involved in the network management process. The ontology is based on the French géostandard for drinking water supply and sanitation networks (RAEPA) v1.2 and the INSPIRE European directive.
SewerNet is aligned with the DOLCE-lite foundational ontology and imports a few axioms from the Time ontology for interoperability providing a well-established semantic basis for modeling sewer networks.
The ontology can be found at: http://sewernet.hsm.umontpellier.fr/