Leveraging Machine Data For Optimized Forest Management

To enable data exchange between machines and users, as well as among machines, the international data standard StanForD was developed in the 1980s. The current version, StanForD2010, was introduced in 2011 and is based on XML. The most crucial data for harvesting performance is stored in hpr (harvested production), fpr (forwarded production), and mom (operational monitoring) files. Most commonly collected data include machine operating hours and distance traveled; performance; work cycles including start and end times, as well as the duration of specific subtasks; data on felled trees, processed logs and loaded wood; real-time machine positions with recorded location coordinates; fuel consumption; information on the machine's operational status, and details about performed maintenance activities. An open-use model was developed that can read those data and present it in a user-friendly way allowing real-time monitoring and control of machinery. Most importantly, the data enable obtaining key production metrics that can be further utilized in business calculations and logistics. Maintenance planning is supported, and operational processes are optimized. Consequently, data from logging machines contribute to enhancing efficiency, productivity, and sustainability in forestry. The presentation will demonstrate possibilities and limitations of the tool by using demonstration cases.