水稻免耕栽培的优化效应与调控技术

水稻免耕栽培主要包括水稻免耕抛秧、免耕直播和免耕插秧等技术。试验示范结果表明:该项技术能提高水稻产量0.9%~5.1%,节省工本,提高纯收入达19.2%~37.0%,并省水节电,增加土壤表层孔隙度,增加土壤速效养分含量。介绍了水稻免耕栽培的调控技术。     

小麦秸秆还田机粉碎装置性能影响因素试验与优化

利用设计的秸秆还田机粉碎装置进行了粉碎试验。以壳体包角、喂入速度、动定刀间隙为试验因素,秸秆的粉碎质量、粉碎功耗为试验指标,建立了粉碎质量和粉碎功耗的数学模型。随着喂入速度、壳体包角的增加和动定刀间隙的减小,粉碎功耗增大,粉碎质量提高。利用回归方程和主目标法,进行了参数的优化设计,结果为:粉碎室包角为70°、喂入速度为46.5m/s、动定刀间隙为10mm。     

A dynamic, optimal disease control model for foot-and-mouth disease: I. Model description

A dynamic optimization model was developed and used to evaluate alternative foot-and-mouth disease (FMD) control strategies. The model chose daily control strategies of depopulation and vaccination that minimized total regional cost for the entire epidemic duration, given disease dynamics and resource constraints. The disease dynamics and the impacts of control strategies on these dynamics were characterized in a set of difference equations; effects of movement restrictions on the disease dynamics were also considered. The model was applied to a three-county region in the Central Valley of California; the epidemic relationships were parameterized and validated using the information obtained from an FMD simulation model developed for the same region. The optimization model enables more efficient searches for desirable control strategies by considering all strategies simultaneously, providing the simulation model with optimization results to direct it in generating detailed predictions of potential FMD outbreaks.     

一般6R机器人的高精度逆运动学优化算法

为提高一般6R机器人逆运动学算法的精度和效率,提出一种基于符号运算和矩阵分解的优化算法。对6个基础逆运动学方程作变换,采用符号运算预处理得到14个逆运动学方程,避免大量浮点数计算累积误差。利用其中6个方程与关节变量3无关的特点,将目标矩阵从24阶降低到16阶,包含的关节变量从3个增加到4个。把一元16次方程求根问题转换为矩阵特征分解问题,并选取较高数量级的相关数据元素计算关节变量,进一步提高了算法精度。以一般6R机器人为例,求解结果表明,提出的算法能够得到具有任意期望精度的最多16组实数逆运动学解。     

高齿准双曲面齿轮的设计方法与试验研究

通过增加工作齿高和对根切条件的深入研究，提出了高齿准双曲面齿轮的优化设计方法。这种方法可以有效地增大端面重合度，并保证所设计的齿轮不根切、齿顶不变尖，可在现有机床上使用标准系列刀具加工。台架试验表明，这种高齿准双曲面齿轮的噪声和振动量比普通准双曲面齿轮明显降低。     

Determining crop-water production functions using yield–irrigation gradient algorithms

Crop-water production functions (CWPFs) are a useful tool for irrigation planning, but derivation of CWPFs by field experimentation is expensive, and traditional analytical techniques are not well suited to derivation of CWPFs. Physiologically based crop models provide a useful tool for simulation of agricultural experiments, but they have not been extensively applied to the task of CWPF determination. A new algorithm type based upon differential crop yield response to irrigation (“yield–irrigation gradients” [YIG]) is presented that uses these crop models to determine planning-level irrigation schedules and CWPFs. Three specific algorithms are developed within this type, varying in complexity, performance, and computational costs. Performance of the YIG methods is compared against a standard reference evapotranspiration method. In particular, the randomized iterative YIG (RIYIG) algorithm provides near-optimal results but at the highest computational costs of all the methods specified. All of the techniques presented have general applicability and are not limited to any one crop or location.     

灌区计算机监控系统与灌溉优化调度模型集成应用研究

大型灌区实施计算机监控是提高灌区管理水平的重要手段,灌区轮灌分组优化模型旨在求解干渠各出水口运行时调度的最优组合方案,而灌溉优化调度方案在实施过程中往往仍然采用的是计算机远程人工调度.为此研究了一种灌区轮灌分组优化模型,并得出了灌溉优化调度方案,同时采用OPC（即OLE for Process Control）技术,使灌溉优化调度方案数据与计算机控制系统有效地结合起来,提高了灌区灌溉管理自动化水平。     

FSWM: A hybrid fuzzy-stochastic water-management model for agricultural sustainability under uncertainty

A hybrid fuzzy-stochastic water-management (FSWM) model is developed for agricultural sustainability under uncertainty, based on advancement of a multistage fuzzy-stochastic quadratic programming (MFSQP) approach. In MFSQP, uncertainties presented in terms of fuzziness and randomness can be incorporated within a multilayer scenario tree, such that revised decisions are permitted in each time period based on the realized values of the uncertain events. Moreover, fuzzy quadratic terms are used in the objective function to minimize the variation of satisfaction degrees among the constraints; it allows an increased flexibility in controlling the system risk in the optimization process. Results of the case study indicate that useful solutions for the planning of agricultural water management have been obtained. In the FSWM model, a number of policies for agricultural water supply are conducted. The results obtained can help decision makers to identify desired water-allocation schemes for agricultural sustainability under uncertainty, particularly when limited water resources are available for multiple competing users.     

非传统通心粉生产工艺参数优

通过对非传统通心粉生产工艺研究,探索采用国产小麦制作非传统通心粉较佳工艺条件.研究结果表明:生产非传统通心粉较佳的工艺条件为:和面加水量28%～30%,和面水的温度5～15℃,和面真空度60～80 kPa,挤压面团温度35～45℃;控制预干燥、主干燥、平衡干燥各阶段的温、湿度条件,可得到品质较好的非传统通心粉.     

The relationship between water intake rates,paddy ponding depth,and farmers’ water management techniques

Japanese farmers manage their irrigation water based on their past experiences and preferences, considering such factors as weather and available water (hereafter defined as empirical water management). They elaborately control the intake and drainage rates of their own paddy fields to maintain optimal ponding depths. But these well-managed systems will drastically change because of the decreasing number of farmers. Therefore, it is necessary to clarify if the optimal ponding depth will be maintained within the limits of traditionally-allowed water intake rate from the main river. The first objective of this study was the quantification of actual water use in the paddy fields, resulting from the farmers water management on the basis of their experience. The significance of the present water intake rate under empirical water management was studied for a paddy field command area of about 230 ha. Water intake rates and the water requirements of the whole area were investigated by measuring the flow rate at 17 points of irrigation and drainage canals. Characteristics of the farmers empirical water management were investigated by measuring the hourly changes in inflow and outflow rates for a sub-area using an automatic measurement system, and an inferential method of determining water management patterns for the paddy fields was proposed. The newly-proposed inferential method was introduced in the tank model, which expresses the characteristics of water management in the command area. The Shuffled Complex Evolution Algorithm (SCE-UA) method was used for optimizing the model parameters. It was proven that the model accuracy improved when the farmers empirical water management was taken into account. The optimal amount of water to be applied to the command area was quantified by the simulation. The second objective was to predict the effect of the decreasing number of farmers on future water use conditions. The simulated result indicates the difficulty of maintaining optimal ponding depth for the whole command area when the farmers empirical water management is not maintained. In other words, results indicated that efficient water use requires an automatic water management system or a new pipeline system to replace the farmers present empirical water management.