评估削片机性能的原创方法建议

R. Fanigliulo, W. Stefanoni, L. Fornaciari, R. Grilli, Stefano Benigni, Daniela Scutaru, G. Sperandio, D. Pochi
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引用次数: 0

摘要

来自农林业部门的木材燃料是欧盟为减少对国外市场的能源依赖而提出的主要战略之一。通过优化采伐和削片操作,可以提高木材燃料在经济和环境方面的可持续性。这项研究的重点是通过中型拖拉机的动力输出(PTO)操作削片机进行削片阶段的动态能量平衡。两台机器都配备了传感器,用于实时监测燃料消耗、PTO 扭矩和速度、树干直径以及在中度轮伐系统中种植的 61 棵杨树的粉碎过程中的工作时间。对整个数据集(约 29,000 条记录)进行了数据分析,而不考虑它们是否属于不同的树木。通过适当的数据排序,可以确定所有停止削片的区间(如两棵树之间),并将其排除在实际削片区间之外。这样就可以计算出工作时间和实际工作时间,以及削片机工作所需的基本功率和实际削片功率。随后,将实际削片过程中观察到的参数值与同一时刻测量到的切割直径联系起来。随后,数据集被划分为七个直径等级,并计算出每个等级的工作时间、工作效率、二氧化碳排放量、能源需求和燃料消耗的描述性统计指数。最后,对整个数据集和基于等级平均值的树干直径变化与其他参数之间的相关性进行了验证。通过分析,可以确定削片机效率最高的条件。更广泛地说,该方法有助于提高测量的准确性,以便从动态能量需求的角度以及不同木材种类的角度来确定削片机的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proposal of an Original Methodology to Evaluate the Performance of Chipper Machines
Wood fuel from the agroforestry sector is one of the main strategies cited by the EU for reducing energetic dependance on foreign markets. Its sustainability, both economic and environmental, can be improved through the optimization of harvesting and chipping operations. This study was focused on the dynamic and energetic balance of the chipping phase carried out by a chipper operated by the power-take-off (PTO) of a medium-power tractor. Both machines were equipped with sensors for real-time monitoring of fuel consumption, PTO torque and speed, trunk diameter and working time during the comminution of 61 poplar trees grown in a medium rotation coppice system. The data analysis was carried out on the entire dataset (about 29,000 records) without considering their belonging to different trees. By means of proper data ordinations, it has been possible to define all the intervals in which the chipping stopped (e.g., between two trees) and to exclude them from the intervals of actual chipping. This has allowed forcomputation of operative and actual working time, as well as of the basic power required to operate the chipper and the power for actual chipping. Subsequently, the parameter values observed during actual chipping were related to the cutting diameters measured at the same instant. Subsequently, the dataset was divided according to seven diameter classes, and, for each class, the descriptive statistical indices of working time, work productivity, CO2 emissions, energy requirement and fuel consumption were calculated. Eventually, the correlation between the variations in trunk diameter and other parameters was verified both on the whole dataset and based on the class average values. The analysis made it possible to identify the conditions of greatest efficiency for the chipper. More generally, the method could help to increase the accuracy of measurements aimed at characterizing the performance of chippers from the point of view of dynamic energy requirements as well as in relation to different wood species.
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CiteScore
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