method development and research equipment Algorithmic analysis of transport systems of biomass
Especially the increasing use of biomass as energy resource causes an increasing amount of agricultural transports. The efficiency of the used logistic systems is often low. The presented system analysis is based on the recording of position data during the harvest. The evaluation of the data with specific algorithms shows planning errors in the logistic chains and generates the basic data for a systematic optimization. Abstract landtechnik 67 (2012), no. 1, pp. 22-25, 4 figures, 4 references n
... Structural changes in German agriculture like a continuously growing average farm size and an increasing use of biomass as a resource for the production of energy cause an increasing amount of agricultural transports. Both upcom-ing mass flows and transport distances are growing. Apart from that, the energy density of the transported goods is low. Therefore a well-organized transport system is an important component for the economic success in agriculture. Modern fleet management systems  support automatic assignments of work orders to machines and operators and contain navigation applications for agricultural purpose. Furthermore economic systems that enable automatic calculations of provided labor are state of the art . However, reliable planning tools to create optimized harvesting process chains do net yet exist. Therefore the organization of the logistic systems is usually based on empirical knowledge of farmers and contractors. The analysis of the currently used forms of mechanization is essential for the optimization of agricultural logistic systems. The presented algorithmic efficiency analysis identifies machine parameters of the used vehicles evaluating the position data of all vehicles of a harvesting chain by different algorithms. Additional geographic information about used routes and harvested fields is included in this evaluation. Using this database the developed applications first assign a specific operating state to each machine at each point of time. Afterwards process parameters (process time, velocities, proportion of interruption, etc.) can be derived. So, especially performance parameters of competing transporting systems are visible. For example the operational range of trucks for agricultural transports can become clear with this method. Methods and Algorithms The algorithmic efficiency analysis of harvesting process chains is divided into the two main parts data recording and data analysis. These two parts are executed separately.