以沼气为纽带的西藏农牧业清洁生产模式研究

为了解决因长期不合理施用化肥导致的西藏土壤理化性状、营养元素、有机物质、生物学活性和重金属含量等问题,提出了以沼气为纽带的西藏农牧业清洁生产的3种模式,均以沼肥综合利用促进沼气发展为目标的,集养殖、沼气、种植为一体的循环农牧业清洁生产模式。同时,阐述了农牧业清洁生产的内涵和目标,以及西藏发展农牧业清洁生产的条件、模式、存在的问题及解决对策,为解决长期不合理施用化肥而导致的一系列问题提供思路。该研究有利于实现资源循环利用,实现生态农业与无公害农产品的生产,保护农牧区生态环境,促进西藏农牧业的可持续发展。     

基于MatLab和DSP的哈密瓜纹理分割与分类

以新疆特色水果哈密瓜为研究对象,提出一种利用Matlab辅助DSP提取哈密瓜纹理的方法。该方法首先利用Matlab把待处理的图像转换为数据文件(dat文件),然后利用DSP强大的运算能力分割哈密瓜表面纹理特征,并将分割结果同样以dat文件传递给Mat Lab,最后利用Mat Lab强大的数据分析与图像显示能力建立哈密瓜分类模型。实验结果表明,该方法能够有效地对哈密瓜表面纹理进行分割与分类,分类准确率为88.10%。该方法不但能够缩短DSP系统的开发周期,且能够为今后开发基于DSP的哈密瓜品质实时检测系统奠定基础。     

基于定向定量堆放的马铃薯收获机设计

在研究小型马铃薯收获机的基础上,设计了一款能根据收集薯块质量往特定方向堆放的马铃薯收获机,主要由挖掘装置、输送装置及定向定量堆放装置等组成。在马铃薯收获机的后部设计一个四分区临时集薯器,能根据所收获马铃薯的质量来打开集薯器,将收集的马铃薯向中间或者一侧堆放,从而实现了马铃薯的连续挖掘及收集薯块的定向定量间隔堆放,可在较大程度上降低人工捡拾的工作量,同时避免拖拉机碾压伤薯。     

拖拉机自动转向系统设计及仿真

以TN654拖拉机为平台,基于原车液压转向系统,设计一套比例方向电磁阀组和电控单元(ECU),构建了能响应程序控制的自动转向系统。通过建立阀控缸动力系统数学模型,利用Mat Lab对该系统PD控制性能进行仿真分析。仿真结果显示:系统最大迟滞0.24、1.8s内均能达到平衡点,表明系统具有良好的控制精度和响应性,符合拖拉机自动驾驶作业需求。     

玉米播种机排种监测的试验研究与设计

在对目前玉米播种机排种监测方法的研究基础上,设计了一套新的玉米播种机排种监测的试验方法:将4对光电传感器并排安装在导种管内壁以监测空或堵的情况并进行报警;同时,利用安装在排种盘的中心轴上的空心转速编码器,测出排种盘转速连同试验所得的空穴率,从而得出玉米排种量。试验结果表明:该方案模拟实际空或堵的报警率达100%,排种量检测平均精度98.37%,各项性能指标均达到了实际要求。     

土壤残膜振动筛的研究现状综述

主要介绍筛面物料的运动规律和试验方法的研究现状,分析了几种现有的筛分装置的工作原理,研究了现有的振动筛结构及工作参数的优化方案。同时,基于现有的研究成果为残膜机械的研究工作提供几点建议。     

水果检测装置夹持臂的有限元分析

夹持翻转机构是大型水果无损检测装置的关键部件,主要功能是夹持哈密瓜后翻转,对其瓜体全表面进行图像采集,为无损检测分析提供数据。图像采集对机构的稳定性要求较高,其强度和稳定性直接影响检测效果。为此,运用Pro/E建立了检测装置的三维模型,并用有限元分析软件ANSYS对夹持翻转机构进行了不同工况下的静态分析及模态分析,得到夹持臂在工作时的应力应变云图及模态频率。分析表明,影响夹持机构振动特性的模态频率主要集中在8Hz左右,为其机构设计与优化提供了理论依据。     

大蒜种体入土后的直立栽种条件研究

大蒜种体入土后的直立度控制技术是影响大蒜栽种机栽种质量的关键技术之一。基于国内大蒜栽种农艺要求,将吊篮式移栽机原理作为大蒜栽种机栽植系统设计基础,对大蒜栽种机栽植系统特征参数和成穴参数进行研究,并在ADAMS系统环境下,对大蒜栽种机栽植系统运动轨迹进行模拟和分析,得出大蒜种体入土后的直立栽种条件:1λ1,且机组前进速度不影响λ大小;2大蒜栽植系统形成的种穴满足大蒜直立栽种对种穴参数的要求;3机组前进速度不影响种穴形成。     

Evaluating and Comparing the Natural Cell Structure and Dimensions of Honey Bee Comb Cells of Chinese Bee,Apis cerana cerana (Hymenoptera: Apidae) and Italian Bee,Apis mellifera ligustica (Hymenoptera: Apidae)

The hexagonal structure of the honey bee comb cell has been the source of many studies attempting to understand its structure and function. In the storage area of the comb, only honey is stored and no brood is reared. We predicted that honey bees may construct different hexagonal cells for brood rearing and honey storage. We used quantitative analyses to evaluate the structure and function of the natural comb cell in the Chinese bee, Apis cerana cerana and the Italian bee, A. mellifera ligustica. We made cell molds using a crystal glue solution and measured the structure and inclination of cells. We found that the comb cells of A. c. cerana had both upward-sloping and downward-sloping cells; while the A. m. ligustica cells all tilted upwards. Interestingly, the cells did not conform to the regular hexagonal prism structure and showed irregular diameter sizes. In both species, comb cells also were differentiated into worker, drone and honey cells, differing in their diameter and depth. This study revealed unique differences in the structure and function of comb cells and showed that honey bees design their cells with precise engineering to increase storage capacity, and to create adequate growing room for their brood.     

INVITED REVIEW—IMAGE REGISTRATION IN VETERINARY RADIATION ONCOLOGY: INDICATIONS,IMPLICATIONS, AND FUTURE ADVANCES

The field of veterinary radiation therapy (RT) has gained substantial momentum in recent decades with significant advances in conformal treatment planning, image‐guided radiation therapy (IGRT), and intensity‐modulated (IMRT) techniques. At the root of these advancements lie improvements in tumor imaging, image alignment (registration), target volume delineation, and identification of critical structures. Image registration has been widely used to combine information from multimodality images such as computerized tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) to improve the accuracy of radiation delivery and reliably identify tumor‐bearing areas. Many different techniques have been applied in image registration. This review provides an overview of medical image registration in RT and its applications in veterinary oncology. A summary of the most commonly used approaches in human and veterinary medicine is presented along with their current use in IGRT and adaptive radiation therapy (ART). It is important to realize that registration does not guarantee that target volumes, such as the gross tumor volume (GTV), are correctly identified on the image being registered, as limitations unique to registration algorithms exist. Research involving novel registration frameworks for automatic segmentation of tumor volumes is ongoing and comparative oncology programs offer a unique opportunity to test the efficacy of proposed algorithms.