基于物联网的智慧林业可持续发展策略研究

随着我国科技的不断进步,在“互联网+”大数据的背景下,林业的智慧化发展是必经之路。虽然我国智慧林业的发展已经取得了一定的突破,但是仍然存在着许多问题。基于此,文章在物联网技术的基础上,对智慧林业的可持续发展策略进行探讨。     

一种林业手持式多功能测树仪设计

针对森林调查对便携式测量设备自动化和集成化的需求,设计了一种集测高器、角规和标准蓄积量计算功能于一体,具有测量、数据存储、计算等多种功能的手持式多功能电子测树仪GForest。该仪器通过采样控制算法实现对测高器防抖动设计,采用计数器存储并控制角规计数结果,提供USB接口同PC和移动智能终端设备进行数据共享,旨在解决目前森林地面调查数据采集硬件设备信息化与数据采集软件发展不同步的问题,大幅减少了外业调查中手工数据记录和录入的工作,提高了野外数据采集的效率。经实测验证:GForest测得的立木高度与实际值的平均误差为4%,与进口同类设备精度持平,同时还具有角规绕测计数与控制等实用功能,且具有明显的成本优势,适合在行业内推广应用。     

遂昌护林员考勤系统的应用与效益分析

护林员是森林资源保护的一支重要力量,林业野外作业的特点使得护林员队伍的管理成为难题。遂昌县护林员考勤系统结合了现行森林资源保护管理体制及其制度设置的特点,从对护林员巡护森林的实时管理、量化管理着手,借助GIS、现代通讯和无线传感技术等现代科技监控手段,对护林员野外作业过程实时定位、跟踪和计量,为护林员的野外作业管理提供可用的现代技术手段。本系统的有效应用为林业部门管理信息化建设提供了借鉴。     

Use of the 15N natural abundance technique to quantify biological nitrogen fixation by woody perennials

Biological nitrogen fixation (BNF) associated with trees and shrubs plays a major role in the functioning of many ecosystems, from natural woodlands to plantations and agroforestry systems, but it is surprisingly difficult to quantify the amounts of N₂ fixed. Some of the problems involved in measuring N₂ fixation by woody perennials include: (a) diversity in occurrence, and large plant-to-plant variation in growth and nodulation status of N₂-fixing species, especially in natural ecosystems; (b) long-term, perennial nature of growth and the seasonal or year-to-year changes in patterns of N assimilation; and (c) logistical limitations of working with mature trees which are generally impossible to harvest in their entirety. The methodology which holds most promise to quantify the contributions of N₂ fixation to trees is the so-called `¹⁵N natural abundance' technique which exploits naturally occurring differences in ¹⁵N composition between plant-available N sources in the soil and that of atmospheric N₂. In this review we discuss probable explanations for the origin of the small differences in ¹⁵N abundance found in different N pools in both natural and man-made ecosystems and utilise previously published information and unpublished data to examine the potential advantages and limitations inherent in the application of the technique to study N₂ fixation by woody perennials. Calculation of the proportion of the plant N derived from atmospheric N₂ (%Ndfa) using the natural abundance procedure requires that both the ¹⁵N natural abundance of the N derived from BNF and that derived from the soil by the target N₂-fixing species be determined. It is then assumed that the ¹⁵N abundance of the N₂-fixing species reflects the relative contributions of the N derived from these two sources. The ¹⁵N abundance of the N derived from BNF (B) can vary with micro-symbiont, plant species/provenance and growth stage, all of which create considerable difficulties for its precise evaluation. If the%Ndfa is large and the ¹⁵N abundance of the N acquired from other sources is not several ¹⁵N units higher or lower than B, then this can be a major source of error. Further difficulties can arise in determining the ¹⁵N abundance of the N derived from soil (and plant litter, etc.) by the target plant as it is usually impossible to predict which, if any, non-N₂-fixing reference species will obtain N from the same N sources in the same proportions with the same temporal and spatial patterns as the N₂-fixing perennial. The compromise solution is to evaluate the ¹⁵N abundance of a diverse range of neighbouring non-N₂-fixing plants and to compare these values with that of the N₂-fixing species and the estimate of B. Only then can it be determined whether the contribution of BNF to the target species can be quantified with any degree of confidence. This review of the literature suggests that while the natural abundance technique appears to provide quantitative measures of BNF in tree plantation and agroforestry systems, particular difficulties may arise which can often limit its application in natural ecosystems.     

形态结构特征约束下的树木参数化建模研究

树木建模是构建虚拟森林景观的主要环节,也是三维林业地理信息系统的基础。该文提出一种形态结构特征约束下的树木参数化建模方法,通过引进Bezier曲线控制树干以及树枝形状,并以荔枝树和马尾松为例对该方法进行设计与实现。实验结果表明,该方法能有效提高树木建模过程中的交互能力,较好地突出了树木的形态结构特征。     

一种基于YOLOv4-TIA的林业害虫实时检测方法

针对现有基于深度学习的林业昆虫图像检测方法存在检测精度低和检测速度慢的问题,提出一种结合改进PANet结构与三分支注意力机制的目标检测方法YOLOv4-TIA。通过对样本数量较少的昆虫类别进行数据增强,实现样本均衡分布。利用三分支注意力机制改进YOLOv4中的CSPDarkNet53骨干网络,同时通过旋转操作和残差变换建立维度间的依存关系,以提高有效的特征通道权重,在PANet结构上增加将跳跃连接与跨尺度连接相结合的特征融合方式,从而获取更丰富的语义信息和位置信息。在此基础上,采用Focal loss函数优化分类损失,解决正负样本不均衡的问题。实验结果表明,该方法的精确率和召回率分别达到85.9%和91.2%,相比SSD、Faster R-CNN、YOLOv4方法,其在保证检测速度的同时,能够有效提高检测精度,且实现对林业害虫的实时精确监测。     

流域内森林植被对径流的影响

分析了大兴安岭地区呼玛河上游森林植被覆盖率变化对流域径流的影响。     

论地理信息系统在我国林业上应用效果

地理信息系统是目前我国林业中应用的最为先进的信息管理系统，在林业的管理应用中发挥着巨大的作用。针对地理信息系统在森林分类经营、造林规划设计等等这几个方面对该系统的具体应用做分析，并对未来的发展做简单的规划和讲解。     

基于大数据的智慧林业系统设计

With the development of 5G, big data, cloud computing, IOT, mobile Internet and other information technologies of new generation, the design of forestry information system establishes a new mode of forestry development integrating three-dimensional perception, collaborative management and internal and external services by means of perception, IOT and intelligence. Intelligent forestry system is a comprehensive information management system integrating forest management, intelligent forestry business management, green maintenance management and emergency command and dispatching management. Based on the specific project practice, this paper puts forward the overall framework design scheme and management platform design scheme of intelligent forest- ry.     

林业运输机械变速器故障检测诊断与排除

详细列举了林业运输机械变速器常见故障,并对故障现象和原因进行分析,进而提出诊断、排除方法,可降低事故发生的机率,或预防事故的发生,保障安全生产。