The overriding goal of the special civil engineering machinery cluster is to create a uniform understanding of the definitions in ISO 15143. Some of the parameters in the ISO standard are not sufficiently specific. This creates a scope for interpretation that allows different definitions on the part of the OEMs and thus causes corresponding isolated solutions (data silos) on the part of the users.

For the users of the machines, a meaningful use, a cross-manufacturer comparison and a connection of the machine condition data to internal systems and processes is therefore only possible with great difficulty or not at all.

In order to increase the usability as well as the application possibilities of the data, the parameters and their meaning must be regulated in detail and clearly together with all parties involved, from the manufacturer to the service provider to the end user.

This is intended to create clear added value for the user in the machine condition data defined in ISO 15143-3. Manufacturers benefit from the possibility of a targeted and manufacturer-independent definition. This creates standards and subsequently avoids isolated solutions and individual manufacturers' own interpretations.

Since ISO 15142-3 currently only contains machine condition data, the next step will be to work out the necessary quality and process data for the special civil engineering machines. The aim is to define the required metrics clearly and unambiguously. For the user, this information is of great importance in order to be able to further optimize construction site processes. For this purpose, it is necessary to define work processes such as kelly drilling, anchoring, diaphragm wall, jet grouting, SOB - CFA and pile driving and to consider them separately. For each machine type, main activities/working processes are identified and required data fields including description as well as measurement accuracies (interrogation frequency, unit) are defined. This work is carried out in specially established sub-working groups of cluster 3