整地筑埂两用机传动系统的设计

为了提高水稻种植机械化的程度,针对其生产过程中的整地筑埂作业工序,设计了一种稻田生产用整地筑埂两用机的传动系统,该传动系统主要由变速箱、传动轴、链传动系统、两个旋耕集土器半轴、离合器、轴承等关键部件组成;采用轮式拖拉机为动力,实现了一次进地,可同时完成整地和筑埂两种作业。田间试验表明,该传动系统设计合理、性能稳定、技术先进,为水稻生产过程全程机械化提供了技术支持。     

基于加权Voronoi图的林木竞争指数

以福寿山林场25年生的杉木生态公益林为研究对象,通过分析林木竞争指数与胸径生长因子的相关关系,得出二者为负相关,从而确定加权Voronoi图的权重为胸径倒数(W),借助Arcgis软件里的加权Voronoi图工具,通过加权Voronoi图的方法来确定竞争单元,提出基于加权Voronoi图的W_V_Hegyi竞争指数,最后将W_V_Hegyi竞争指数与Hegyi、V_Hegyi竞争指数进行对比分析,结果表明:1) 3种竞争指数与胸径相关性强弱排序为:W_V_HegyiV_HegyiHegyi;2) 3种竞争指数与胸径服从幂函数关系,曲线拟合度排序为:W_V_HegyiV_HegyiHegyi;3) 样地竞争指数平均值排序均为:V_HegyiW_V_HegyiHegyi。通过以上比较分析证明,W_V_Hegyi竞争指数比Hegyi、V_Hegyi竞争指数能更准确地反映林木间的竞争关系。      

宽幅高效离心式双圆盘撒肥机设计与试验

为解决现有水旱田撒肥机械作业效率低、撒肥量调节技术落后、施肥均匀性稳定性差等实际问题,设计了一种同轴驱动的离心式双圆盘撒肥机。介绍了整机结构与工作参数,研究设计了撒肥传动系统、撒肥盘结构、排肥量液压调节装置等,并确定了关键结构和参数,同时进行了试验研究。试验结果显示,推肥板推肥角度-20°~30°可调,撒肥幅宽达到50m,总排肥量稳定性变异系数低于6%,施肥均匀性变异系数低于16%。研究结果表明,撒肥机工作性能稳定、撒肥量可控、抛撒均匀,整机设计满足水旱田宽幅高效撒肥作业要求。     

Analysis and FEM Simulation of the Forming Process of Front Bumper Bracket

The processing characteristics of the front bumper bracket are analyzed,and a reasonable process scheme is worked out.The three-dimensional sheet metal forming analysis software PAM-STAMP are adopted to simulate the bracket's drawing process.Then the surface of die is proved fine through analyzing the FLD diagrams and the forming results.An economical and optimized die structure is decided,and a complete set of dies of the bracket is designed.The spacing block is added in the sizing mold,which control the size precision of end products and assembling columns actively,and finally the certified products.The material utility and the labor productivity are raised,the production cost is saved,and the mold design quality and the efficiency are improved effectively.     

面向MC提升企业柔性的概念模型分析

大规模定制(简称MC)是应对目前市场激烈竞争的一种有效方式,它对企业的柔性能力提出了更高的要求。本文基于资源和能力角度,建立了面向MC提升企业柔性的整体模型,通过分析企业需要向MC转变的程度以及企业已具备的柔性与企业的理想柔性之间的差距,确定企业提升柔性的途径,并利用系统动力学方法给出了相应的因果关系结构图。     

A model of decision-making and information flows for information-intensive agriculture

This paper describes the development of a systems based model to characterise farmers’ decision-making process in information-intensive practices, and its evaluation in the context of Precision Agriculture (PA). A participative methodology was developed in which farm managers decomposed their process of decision-making into brief decision statements along with associated information requirements. The methodology was first developed on a university research farm in Denmark and further revised during testing on a number of research and commercial farms in Indiana, USA. Twenty-one decision-analysis factors were identified to characterise a farm manager’s decision-making process. Then, a general data flow diagram (DFD) was constructed that describes the information flows “from data to decision”. Illustrative examples of the model in the form of DFDs are presented for a strategic, a tactical and an operational decision. The model was validated for a range of decisions related to operations by three university farm managers and by five commercial farmers practicing PA for cereal, corn and soybean production in Denmark and in Indiana, USA.     

四轮驱动汽车牵引力模糊控制方法仿真研究

建立了四轮驱动汽车加速过程的数学模型,采用模糊控制方法,建立了以滑转率为控制对象的汽车牵引力控制系统TCS(Traction Control System),用Matlab的模糊工具箱进行了模糊控制器的设计,并在Simulink仿真环境下进行了动态仿真,结果表明:基于模糊控制的TCS可将驱动轮滑转率控制在最佳值附近,有效地改善车辆的牵引性和动力性,抑制驱动轮过度滑转。     

灭茬旋耕深松起垄通用机传动系统的研究设计

为实现用一种机型解决灭茬、旋耕两种机型通用问题，在分析现有驱动式作业机传动系统的优缺点和存在的问题基础上，采用了拨叉式变速，双侧边链传动和过载保护的传动方案，实现了灭茬、旋耕通用；并提高了传动系统的工作可靠性。     

Precipitation forecasting by large-scale climate indices and machine learning techniques

Global warming is one of the most complicated challenges of our time causing considerable tension on our societies and on the environment. The impacts of global warming are felt unprecedentedly in a wide variety of ways from shifting weather patterns that threatens food production, to rising sea levels that deteriorates the risk of catastrophic flooding. Among all aspects related to global warming, there is a growing concern on water resource management. This field is targeted at preventing future water crisis threatening human beings. The very first stage in such management is to recognize the prospective climate parameters influencing the future water resource conditions. Numerous prediction models, methods and tools, in this case, have been developed and applied so far. In line with trend, the current study intends to compare three optimization algorithms on the platform of a multilayer perceptron (MLP) network to explore any meaningful connection between large-scale climate indices (LSCIs) and precipitation in the capital of Iran, a country which is located in an arid and semi-arid region and suffers from severe water scarcity caused by mismanagement over years and intensified by global warming. This situation has propelled a great deal of population to immigrate towards more developed cities within the country especially towards Tehran. Therefore, the current and future environmental conditions of this city especially its water supply conditions are of great importance. To tackle this complication an outlook for the future precipitation should be provided and appropriate forecasting trajectories compatible with this region's characteristics should be developed. To this end, the present study investigates three training methods namely backpropagation (BP), genetic algorithms (GAs), and particle swarm optimization (PSO) algorithms on a MLP platform. Two frameworks distinguished by their input compositions are denoted in this study: Concurrent Model Framework (CMF) and Integrated Model Framework (IMF). Through these two frameworks, 13 cases are generated: 12 cases within CMF, each of which contains all selected LSCIs in the same lead-times, and one case within IMF that is constituted from the combination of the most correlated LSCIs with Tehran precipitation in each lead-time. Following the evaluation of all model performances through related statistical tests, Taylor diagram is implemented to make comparison among the final selected models in all three optimization algorithms, the best of which is found to be MLP-PSO in IMF.     

离地高度可调的减振式履带驱动机构设计

履带式农田作业车由于其优异的通过性与稳定的行驶性能,被广泛使用于南方丘陵地区。针对传统履带底盘采用刚性悬架,无法调节离地高度,行驶时乘坐舒适性较差的问题,设计了一种离地高度可调的减振式履带驱动机构。该机构采用分离式设计,将整个驱动机构分为上层承载架与下层行驶架,通过在上、下层之间设置液压缸与弹性元件,达到在一定区间内调节车辆离地高度与减少车身振动的目的。通过对关键部件进行重点设计,并对其工作过程进行简要分析,该机构在理论上能达到设计要求。