TCD燃烧系统对柴油机燃烧和排放性能改善效果的试验研究

为探究道依茨TCD2015柴油机上配备的导流燃烧系统(简称TCD燃烧系统,T表示涡轮增压器,Turbocharger,C表示进气中冷,Charge air cooling,D为柴油颗粒捕集器,Diesel particle filter)对改善柴油机燃烧性能和降低污染物排放的效果,采用单缸机试验对TCD燃烧系统在不同转速、负荷和过量空气系数下的燃烧和排放性能进行研究。试验结果表明不同工况下TCD燃烧系统燃油消耗率和Soot排放量均低于传统ω燃烧系统,燃油消耗率最大降幅为7.01%,Soot排放量最大降幅为86.67%,且低过量空气系数(1.2～1.6)下TCD燃烧系统仍具有较好的性能。为揭示TCD燃烧系统改善油气混合促进燃烧的机理,采用AVL Fire软件建立了柴油机性能仿真模型。计算结果表明,TCD燃烧系统的环状凸起结构将燃油导向内外两室,从而促进了缸内燃油发展过程,燃油当量比大于4的浓混合气区域燃油质量比例相比ω燃烧系统降幅最大为9.75%,活塞下移时TCD燃烧系统内油束撞击浅盘侧壁形成撞壁射流扩大了燃油扩散面积,从而改善了缸内油气混合质量,燃油当量比小于1的均匀混合气区域燃油质量比例相比ω燃烧系统降幅最大为7.45%,因此TCD燃烧系统能够有效改善柴油机的燃烧和排放性能,可应用于柴油机高负荷和低过量空气系数工况综合性能提升。研究结果可为柴油机燃烧系统开发和改进提供参考。     

Novel soil quality indicators for the evaluation of agricultural management practices: a biological perspective

Developments in soil biology and in methods to characterize soil organic carbon can potentially deliver novel soil quality indicators that can help identify management practices able to sustain soil productivity and environmental resilience. This work aimed at synthesizing results regarding the suitability of a range of soil biological and biochemical properties as novel soil quality indicators for agricultural management. The soil properties, selected through a published literature review, comprised different labile organic carbon fractions [hydrophilic dissolved organic carbon, dissolved organic carbon, permanganate oxidizable carbon (POXC), hot water extractable carbon and particulate organic matter carbon], soil disease suppressiveness measured using a Pythium-Lepidium bioassay, nematode communities characterized by amplicon sequencing and qPCR, and microbial community level physiological profiling measured with MicroResp^TM. Prior studies tested the sensitivity of each of the novel indicators to tillage and organic matter addition in ten European long-term field experiments (LTEs) and assessed their relationships with pre-existing soil quality indicators of soil functioning. Here, the results of these previous studies are brought together and interpreted relative to each other and to the broader body of literature on soil quality assessment. Reduced tillage increased carbon availability, disease suppressiveness, nematode richness and diversity, the stability and maturity of the food web, and microbial activity and functional diversity. Organic matter addition played a weaker role in enhancing soil quality, possibly due to the range of composition of the organic matter inputs used in the LTEs. POXC was the indicator that discriminated best between soil management practices, followed by nematode indices based on functional characteristics. Structural equation modeling shows that POXC has a central role in nutrient retention/supply, carbon sequestration, biodiversity conservation, erosion control and disease regulation/suppression. The novel indicators proposed here have great potential to improve existing soil quality assessment schemes. Their feasibility of application is discussed and needs for future research are outlined.     

配料混合试验的设计和分析

系统地介绍了配料混合试验的基本概念．指出了混合试验与常规因子试验的区别。提出配料混合试验的3种设计，即顶点和边界点设计、矩心设计和极顶设计。以2个实例演示了混合试验资料的统计方法，包括回归和方差分析．驻点分析和等值线分析。     

苜蓿品比试验研究

以新疆大叶苜蓿为对照品种进行品种比较试验，通过对苜蓿的出苗速度、生育期、产草量、抗寒性、抗病性及根茎直径与根茎入土深度等项指标调查研究结果表明，FunduleaⅠ苜蓿出苗速度高于对熙2．8％，第2，3年干草产量分别比对照增加16．4％与12．4％，成熟期比对照提前9～16d，且抗霜霉病。就抗寒性而言，FunduleaⅠ苜蓿第2年越冬率略低于对照新疆大叶苜蓿，第3年与对照品种相同，2种苜蓿干叶率相比，FunduleaⅠ苜蓿低干时熙品种新疆大叶苜蓿。     

碳酸氢根和铵态氮共同对菜豆生长及养分吸收的影响

 以菜豆为材料进行水培试验, 探讨了高浓度NH₄⁺-N与HCO₃^-共存介质对菜豆生长发育及其营养吸收的影响, 结果表明: ①以HCO₃^--N 为主要氮源时, 菜豆生长状况最好; 以NH₄⁺-N为主要氮源且无HCO₃^-存在时, 培养前期菜豆根系就发生受害现象, 叶片出现萎蔫; 但加入HCO₃^-后, 随着营养液中HCO3- 浓度从0 升高到13. 0 mmol/L , 菜豆长势逐渐改善, 表明HCO₃^-与NH4+ 以较合适的比例共存于介质中可明显减轻二者非共存对菜豆生长的抑制作用。② 同一处理, 菜豆整株对主要营养元素吸收量的次序为: N > K> P > Ca >Mg > Fe >Mn , 以NH4+2N 为主要氮源时, 随HCO₃^-浓度升高, 菜豆对N、P、Ca、Mn 的吸收量逐渐增大。③以NO_3^--N 为主要氮源, P、Fe、Mn 元素在根部出现累积, 而以NH₄⁺-N为主要氮源时, 随HCO₃^-浓度增加, N、P、Ca、Mn 在根部亦有累积现象。     

基于SDAE-BP的联合收割机作业故障监测

为了解决联合收割机作业故障的非线性特征信号难以提取的问题,该研究提出了一种基于堆叠去噪自动编码器(Stack Denoising Auto Encoder, SDAE)和BP神经网络(Back Propagation,BP)融合的联合收割机作业故障监测及诊断的方法(SDAE-BP)。以转速传感器采集联合收割机脱粒滚筒转速、籽粒搅龙转速、喂入搅龙转速、杂余搅龙转速、风机转速、输送链耙转速、割刀频率以及逐稿器振动频率,并将采集的数据集作为系统的输入。利用SDAE提取输入信号的深层次特征,并由BP神经网络辨识收割机作业状态,实现联合收割机故障监测。在SDAE-BP模型训练过程中,去噪自动编码器(Denoising Auto Encode, DAE)依次经带有不同分布中心噪声的原始数据进行训练,然后将其堆叠,并通过误差反向传播算法对模型参数进行优化,以提升模型识别故障性能和泛化能力。试验结果表明,对于2018年联合收割机田间试验数据,模型的故障诊断准确率达到99.00%,与SDAE和BP神经网络相比,分别提高了1.5和4.5个百分点。将SDAE-BP故障诊断模型用2019年的试验数据进行更新,并用2018年和2019年试验数据进行测试,结果表明,更新后的模型对2018年试验数据的故障识别准确率为99.25%,对2019年试验数据的故障识别准确率为98.74%,更新后模型在2019试验数据集上的故障识别准确率较未更新模型提高了6.52个百分点。该文所建模型能够准确识别联合收割机的故障类型,且具有较好的鲁棒性,对旋转型机械故障监测及预警具有参考价值。     

土壤重金属钝化效果评估——基于大田试验的研究

采用野外大田试验,研究了钙镁磷肥(Calcium-magnesia phosphate fertilizer)、麦饭石(Medical stone)、氧化铁吸附剂(Ferric oxide adsorbent)、氧化铝复合材料(Alumina composite)、植物型有机肥(Plant-based organic fertilizer)、牛粪(Cow dung)、骨炭(Bone char)对某地重金属污染农田的钝化修复效果,并利用动态加权评估方法评估了这几种钝化材料的综合适用性。试验结果表明:几种材料对土壤pH影响均较小,钙镁磷肥、麦饭石微量提高了土壤pH,与对照组相比分别增加0.68和0.74个单位;施加植物型有机肥、牛粪和骨炭提高了土壤有机质含量,与对照组相比分别增加了3.19、2.64 g·kg~(-1)和1.17 g·kg~(-1)(10.04%、8.31%和3.68%)。几种材料在0.6%的投加量下,除植物型有机肥外均有较好钝化效果,土壤有效态镉降低18%以上,且显著减少糙米中镉蓄积量(0.062～0.087mg·kg~(-1)),低于国家食品安全标准限值。为综合评估几种材料的效果及适用性,以土壤重金属有效态含量、糙米镉含量、修复成本和产量为指标构建动态加权函数综合评估模型,评估结果表明,钙镁磷肥的综合修复效果最好,其次为骨炭和植物型有机肥。     

不同激励下宽频磁浮俘能器俘能试验

振动能量俘获是获取可再生的清洁能源一种有效途径，具有广阔的应用前景，有利于社会的可持续性发展。目前，随机功率谱激励下的高功率密度和宽频能量回收仍然是研究的难点。该研究设计了一种可有效利用宽频振动能量的高功率密度磁浮式俘能器，采用COMSOL Multiphysics软件计算悬浮磁体非线性回复力与位移的关系式，根据磁浮振动系统的控制方程和基尔霍夫定律建立俘能器的数学模型，详细研究了模型参数变化对俘能器性能的影响。随后进行正弦扫频和驻频试验以验证俘能器的发电能力。同时，从俘能器的效率、效能和体积优质3个指标对俘能性能进行评价；并结合实际应用，设计俘能器稳压电路。根据丘陵山区农业机械工作的随机路谱特性，建立随机激励的数学模型，根据响应幅值的概率密度函数的FPK方程表达式，得到了平稳概率密度函数的解。结果表明：在激励频率从9.77到31.75 Hz变化时，俘能器最大输出电压在5.92和21.52 V之间；最大输出功率在10 Hz时达81.93 mW，从5到50Hz，输出功率范围为5.76到81.93 mW；俘能器的效率、效能和体积优质分别为2.85%，9.85%和39.74%；俘能器电压输出的功率谱密度有5个峰值点，对应频率分别为9.804、29.41、36.76、36.76、51.47和71.08 Hz，进一步验证了该研究提出的磁浮式俘能器具有宽频发电性能，并可满足丘陵山区农机设备监测传感器的供电需求。     

南方双季稻区小行距插秧机的改进设计与试验

针对300mm行距插秧机在南方双季稻区栽插行距过大、穴数过少及不能充分发挥机插稻的增产潜力问题,在300mm行距插秧机结构的基础上,通过机械优化设计和田间农艺技术相结合的方法,对其插植部箱体、苗箱、支架(包括左右支架和中间支架)和浮板4个关键部位技术参数改进设计,研制出了适合南方双季稻区作业的2ZS-488B型(264mm行距)插秧机,并于2012-2013年在江西省2个试验点进行不同早晚稻品种机插行距的大田对比试验。结果表明:该插秧机作业性能稳定,漂秧率、伤秧率和漏插率分别为1.55%、2.68%和1.93%,相对均匀度合格率为89.54%。与300mm行距插秧机相比,其产量平均增产529.43kg/hm2,平均增产率达8.57%。该研究结果创新了南方双季稻区新的机械化栽插方式,有利于农机农艺的有效融合。     

Networking of integrated pest management: A powerful approach to address common challenges in agriculture

Integrated pest management (IPM) is facing both external and internal challenges. External challenges include increasing needs to manage pests (pathogens, animal pests and weeds) due to climate change, evolution of pesticide resistance as well as virulence matching host resistance. The complexity of designing effective pest management strategies, which rely less heavily on the use of conventional pesticides, is another external challenge. Internal challenges include organizational aspects such as decreasing trend in budget allocated to IPM research, increasing scarcity of human expertise, lack of knowledge transfer into practice and the communication gap both at country level and between countries, and lack of multi-, inter- and transdisciplinary IPM research. There is an increasing awareness that trans-national networking is one means to overcome such challenges and to address common priorities in agriculture. A large number of stakeholders (researchers, policy makers, growers and industries) are involved in the sector of crop protection, which needs to be coordinated through effective communications and dynamic collaboration to make any IPM strategy successful. Here we discuss a decade-long IPM networking experiences in Europe emphasizing how IPM research, implementation and adoption in Europe may benefit from a broader level networking.