AK Machine Data Cluster 2 Lifting Equipment
Goals
The overarching goal of the Cranes cluster is to create a uniform understanding of the definitions in ISO 15143. In the ISO standard, parameters are not always regulated concretely enough. This creates room for interpretation, allowing for different definitions on the part of OEMs and thereby causing corresponding isolated solutions (data silos) on the part of users.
This makes meaningful use, a manufacturer-independent comparison, and the integration of machine status data into internal systems and processes very difficult or impossible for machine users.
To increase the usability and application possibilities of the data, the parameters must be regulated in detail and clearly, together with all stakeholders, from manufacturers and service providers to end-users.
This creates clear added value for the user regarding the machine status data defined in ISO 15143-3. Manufacturers benefit from the possibility of targeted and cross-manufacturer definitions. This creates standards and avoids isolated solutions and self-interpretations.
The elaboration was carried out taking into account the following two requirements:
- The ISO standard is the guideline, and there must be no alteration of existing fixed definitions.
- The definitions refer to the OEM server's data interface. Data acquisition and data transmission to and from the machine are not part of this cluster.
Outlook
Since ISO 15142-3 currently only includes machine status data, required quality and process data for cranes will be developed in the next step. The goal is to define the required metrics clearly and unambiguously. This information is of great importance to the user in order to further optimize construction site processes. To this end, it is necessary to define and consider machine types such as tower cranes, crawler cranes, mobile cranes, as well as gantry cranes and loader cranes, separately. For each machine type, main activities will be defined, along with the required data fields, including descriptions and measurement accuracies (query frequency, unit).