The project has developed a digital platform and methodology in order to enable control over all information during the entire process in remedial work in on contaminated land projects - from planning to fully remediated land. The platform and methodology also allow for synchronizing mass handling and classifying excavation masses according to the BEAst system. The project has also developed routines for sending excavation models directly to excavators via InfraKit's cloud-based platform for machine guiding.

Final report

The final report is available in Swedish on the Swedish project page.

View the report in full here.

In an initial study of the current situation, a comprehensive and detailed process description has been made for all stages and for the activities of all actors involved in a remediation project. In the process description, the key information types were identified. The developed digital platform has then created support for those data types for conveniant data management. Examples of key information data types are excavation volumes, detailed plans, geoconstructions and survey data from the field and laboratory investigations.

In a number of workshops, six digital concepts/work packages with different focus and content were prepared, which were then judged in different ways on a scale of degree of created value if they were to be developed. Finally, the concept Digital project start was selected for technical development within the R&I project. The concept of Digital mirroring of physical mass handling has also been developed during the project as part of the digital platform and methodology. The four digital concepts that were deprioritised are still considered to be interesting for the future but have not been further developed within the framework of the current R&I project.

The digital platform has been developed in the Microsoft 365 Teams environment. The platform, via standardized import templates and original formats for all key information data types, creates good order of all information. The information is easily accessible to all actors with project rights via Microsoft Teams, a tool that the vast majority of people in the industry have access to.

With all the data well structured in the platform's database (GeoBIM), a large number of scripts/routines have been created to automatically compile or analyze the data in various ways. Some scripts/routines also adapt the data for further analysis in other discipline-specific more advanced software, e.g. statistical processing of the data. This automation ensures that all project members constantly have access to a common and up-to-date picture of the project information.

The developed digital platform and work methodology have been tested in close collaboration with Malmö City, Fastighetskontoret, on data in the urban development project Nyhamnen in Malmö. Workflow, accessibility to the key information data types and created scripts/routines for analyzing data etc. are deemed to have worked according to expectations. The developed method for analyzing the pollution situation is significantly faster than a traditional way of working, which has enabled a more detailed assessment of the pollution situation. The effect of that should be that a more precise and well-balanced remediation campaign can be put in place compared to what a traditional assessment basis would allow.

In collaboration with the project partner NCC, a methodology has been developed to also classify different calculated masses according to the BEAst system. A typical example is a calculated/modelled volume with a certain degree of contamination to be excavated. This creates continued traceability of excavated masses all the way to continued use or to landfill.

In the project, digital excavation models, directly adapted for the digital systems in the contractors' excavators, have also been generated, based on produced volume models. These excavation models are made available in the supplier InfraKit's cloud-based platform via an established API connection. Through this upload to InfraKit, the excavation models become available to all work machines that are connected to the InfraKit project, and thus an excavator operator on the site can use produced excavation models in real time without manual intervention.


ID: U8-2020-3

Call: Utlysning 8

Project manager: Mats Svensson, Tyréns