Digitalization of timber harvesting performance monitoring

木材采伐绩效监控的数字化

• 批准号: 560484-2020
• 负责人: Roeser, Dominik
• 金额: $ 4.37万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=721688
• 关键词: Digitalization; timber; harvesting; performance; monitoring

Increased demands from different stakeholders on the timber harvesting landbase combined with fiber shortages experienced in various regions across Canada, are highlighting the need to monitor, improve, and maximize timber harvesting performance. Digitalization, big data analytics, technology development, and integration of remote sensing in harvesting operations have been recognized as critical success factors to support the short, medium, and long-term economic and environmental sustainability of the forest sector in Canada. This two-year project will thus support a Highly Qualified Personnel working at UBC Faculty of Forestry and FPInnovations to develop and field-test advanced digitalization and monitoring solutions for supporting the economic viability and environmental sustainability of the forest industry supply chain in Canada.Outcomes of the project will be a major contribution towards further digitalization of fibre supply chains, providing operational solutions for close-to-real-time monitoring of fully mechanized tree-length harvesting operation performances. These solutions will also be transferable to various other forest operations and applications across Canada. In addition, the expected outcomes will also address the significant knowledge gaps linked to highly variable stands in difficult terrain and will enable full implementation of newly introduced harvesting solutions for steep slope timber harvesting (i.e., winch-assist technologies).

不同利益相关者对木材采伐陆上基地的需求增加，加上加拿大各地区的纤维短缺，凸显了监测、改善和最大化木材采伐性能的必要性。采伐作业中的数字化、大数据分析、技术开发和遥感集成已被认为是支持加拿大森林部门短期、中期和长期经济和环境可持续性的关键成功因素。这个为期两年的项目将支持UBC林业和FPInnovations学院的高素质人才开发和现场测试先进的数字化和监测解决方案，以支持加拿大森林工业供应链的经济可行性和环境可持续性。该项目的成果将对纤维供应链的进一步数字化做出重大贡献，为近实时监测全机械化采伐作业性能提供操作解决方案。这些解决办法也将转移到加拿大各地的各种其他森林作业和应用中。此外，预期结果还将解决与困难地形中高度可变的林分相关的重大知识差距，并将全面实施新引入的陡坡木材采伐解决方案（即绞车辅助技术）。