Machine data Cluster 1 Earth-moving machines
The overriding objective of the earth-moving 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 room for interpretation, which allows different definitions on the part of the OEMs and thus causes corresponding isolated solutions (data silos) on the part of the users.
For machine users, meaningful use, cross-manufacturer comparison and connection of machine condition data to internal systems and processes is therefore very difficult or impossible.
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 thus benefit from the possibility of a targeted and manufacturer-independent definition. This creates standards and subsequently avoids isolated solutions and individual manufacturers' own interpretations.
The elaboration was carried out in compliance with the following two requirements:
- The ISO standard is the default and there must be no modification of existing fixed definitions.
- The definitions refer to the data interface from the OEM server. Data acquisition and data transfer to and from the machine are not part of this cluster.
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 earthmoving machines. The aim is to define the required metrics clearly and unambiguously. For the user, this information is of great importance in order to further optimize construction site processes. For this purpose, it is necessary to define machine types such as excavators, wheel loaders or bulldozers and to consider them separately. For each machine type, main activities are determined and required data fields incl. description as well as measurement accuracies (query frequency, unit) are defined.