Yves Bolognini
Project manager and team leader at Camptocamp
Sessions
Digital twins and 3D are becoming increasingly important for planning, data diffusion and decision-making. Several projects are currently underway at Camptocamp, in collaboration with Virtual City Systems and Cesium. We will present two very different use cases: developments around Rennes Métropole and the underground network for the SUEZ project.
Rennes Métropole
In a context of digital transition and the increasing availability of urban data, Rennes Métropole wishes to better equip its decisions and public policies on the basis of data and cooperation. Ultimately, the goal is to promote cooperation and the contribution of the different actors and "enlighten" public decisions and policies, in particular the democratic, ecological and energy transition projects. Issues of transparency, public service efficiency and cost control are also sought.
The platform is developed partly on VC Map which is an Open-Source JavaScript framework and API for building dynamic and interactive maps on the web. It can display 2D data, oblique imagery and massive 3D data including terrain data, vector data, mesh models, and point clouds making it easy for users to explore and interact with the data in an integrated and high-performance map application. VC Map is built upon open, proven, and reliable GIS and web technologies such as OpenLayers and Cesium for the visualization of 2D and 3D geo-data.
A particular effort was made on the design in order to offer users, mainly citizens, a pleasant user experience that allows an exploration of the development projects of the metropole in 2D and 3D. We will present the cooperation platform through three use cases of interest for Rennes Metropole : simulation of the photovoltaic production potential, linear transport systems and exposure to electromagnetic waves.
SUEZ
As part of its work in the field of water management, SUEZ has a number of requirements for 3D data visualization, particularly for underground data. The project focuses on two main areas: the visualizer and data preparation.
The visualizer is designed to be integrated into an application developed by SUEZ. It is based on Cesium, to which specific functionalities have been added. One of the major challenges was to integrate two types of navigation into the same application:
* Constrained navigation. Possibility of positioning oneself in an underground pipe and moving through it without passing through the walls, with video game-style controls
* Free navigation. More traditional 3D controls with floor transparency
The other aspect of the project is data preparation. A processing chain was set up to construct the pipe tubes, whose data was initially in 2D. Other objects in IFC format, such as pumping stations, were merged and added to the model, while allowing them to be queried via Cesium. Finally, a textured 3D mesh was used to realistically reproduce the interior of the pipes. The challenge was to ensure consistency between these heterogeneous data sources provided by SUEZ.
GeoMapFish is an open source platform for the development of web-based geographic information systems (WebGIS). The platform is rich in functionality, highly customizable and offers multiple interfaces - desktop, mobile, administration and an API for integrating maps into third-party applications. OpenLayers and an OGC architecture allow the use of different cartographic engines: MapServer, QGIS Server, GeoServer. A solid and proven backend enables opening up to other web viewers.
The platform has been developed in close collaboration with a large user group. It targets a variety of uses in public administrations and private groups, including data publication, geomarketing and facility management.
A highly integrated platform, a large number of features, fine grained security and a mature reporting engine are characteristics of the GeoMapFish solution. In this talk, we will present the key usages, the state of the migration process to web components and latest functional developments. We will share our experiences from the productive operation of GeoMapFish-based geoportals in various Kubernetes clusters.