Design on Enterprise Informationization Estimates the Model of Composite Index

This peper commentaried some of our country comparatively well-known enterprise informationization estimate theory,point out,there is existing the question of informationization estimates,that the achievement can't guarantee "appropriate informationization" establishing and enterprise informationization sustainable development,It propose the three-dimensional enterprise informationization estimate the theory and method,that includes information-based level,information-based quality and information-based development potentiality.     

棉籽制油蒸炒工艺的自动控制与研究

介绍一种棉籽制油自动控制系统以及用于制油工艺中的检测和控制方法。在加工过程中，它可以自动调节给水量和蒸炒温度这两个重要参数，使棉籽饼内的残油率有明显降低，同时节能效果也很显著。     

油管式传感器车辆行驶称重系统算法研究

在分析油管式车辆动态称重系统工作原理和特性的基础上,建立了相应的称重系统称量数学模型;利用非线性最小二乘优化算法获得最小平方误差意义上的静载参数估计,同时根据前后油管信号的相关性实现了车速的精确测量和计算;并通过实车试验,验证该算法是可行的,且达到了较好的精度,为车辆超载检测提供了一种经济有效的手段。     

河道堤防设计高程的概率设计和风

介绍河道堤防设计高程的概率和风险校核方法。该方法综合考虑多种不确定性因素的影响，利用随机微分方程推求河道水位的概率分布，并对风浪的随机影响进行分析，按照随机可靠性理论，对常规采用确定性方法确定的河道堤防高程进行漫顶风险校核和可靠性设计。     

泵用异步电动机直接转矩控制系统的设计

直接转矩控制（DTC）是一种高性能的控制方法，提出了一种基于TMS320C32的直接转矩控制系统实现方案。通过硬和软件设计，实现对异步电动机的直接转矩控制，实验结果表明了该方案的可行性，将其应用于水泵的调速系统中，能进一步提高水泵的运行效率。     

厢式运输车前轮主销后倾角改进设计

基于轮胎侧偏特性建立前轮转向后回正力矩数学模型 ,根据转向轮回正力矩与回正阻力力矩平衡方程式 ,计算了 5 0 2 1型厢式运输车主销后倾角 ,按照国标 GB/T6 32 3.4 - 94的要求做了转向回正试验 ,验证了理论分析和设计计算的正确性 ,为前轮定位参数中主销后倾角的设计提供理论参考。     

Demography,population dynamics and sustainability of the Patagonian sheep flocks

Sheep production is the main agricultural activity in Patagonia. Since the middle of the 20th century, sheep numbers have declined steadly. We used historical records of stock numbers in four ranches to analyze the importance of regional factors so as to explain the decline of the Patagonian sheep flocks. We found that the stocks of all the four ranches declined with a similar trend but fluctuated independently, thus reflecting a complex interaction between regional and local factors. Aboveground net primary production (ANPP) and vegetation physiognomy explained most of the differences in the flocks declining rates. We estimated demographic parameters for two ranches differing in their average annual growth rates. From these demographic parameters, we constructed deterministic and stochastic matrix models to establish the relative contribution of demographic processes to the observed decline. Matrix models projected a faster decline than that observed in the ranch used to calibrate the model. This suggests that the recorded demographic parameters could drive most stocks to extinction in less than 100 years. We concluded that the observed dynamics would be generated by demographic processes, but extinction is delayed or avoided by a continuous intake of animals. Ewe survival was the most important parameter in controlling the growth rate of the flocks. The environmental stochastic model showed that the growth of the stocks was highly sensitive to increases in the frequency of good years (those that produce a positive growth) and in the transition from normal years to bad years. All these evidences point out the existence of biological constraints to sheep production in Patagonia: ANPP and vegetation structure would control flock population dynamics throughout its effects on key demographic parameters, ewe survival and marking rate (a recruitment measure). Our model results suggest that the decline in sheep numbers, and hence the sustainability of the activity, is driven, to a large extent, by the demographic characteristics of the flocks.     

From on-farm solid-set sprinkler irrigation design to collective irrigation network design in windy areas

In this paper, a contribution to the design of collective pressurised irrigation networks in solid-set sprinkler-irrigated windy areas is presented. The methodology is based on guaranteeing minimum on-farm performance, using a historical hourly wind speed database and a ballistic solid-set irrigation simulation model. The proposed method was applied to the Montesnegros Irrigation District (central Ebro basin, Spain). The district irrigates an area of 3493 ha using an on-demand schedule. The average wind speed in the area is 2.8 m s⁻¹. An analysis of district water records showed that farmers often reduce water demand when the wind speed is high, but their irrigation decision making is limited by the capacity of the irrigation network and by the unpredictable character of local winds. Simulations were performed for 11 irrigation seasons, 2 triangular sprinkler spacings (18 m × 18 m and 18 m × 15 m), and 2 sprinkler models. The percentage of monthly suitable time for irrigation was determined for four management strategies. The first one was based on a wind speed threshold (3 m s⁻¹), while the other three were based on three levels (standard, relaxed and restrictive) of two irrigation performance parameters: the Christiansen Uniformity Coefficient (CU) and the Wind Drift and Evaporation Losses (WDEL). The standard strategy classified the time as suitable for irrigation when CU ≥ 84% and WDEL ≤ 20%. The thresholds limits of the irrigation parameters for the relaxed strategy were CU ≥ 80% and WDEL ≤ 25%. Finally, the restrictive strategy used thresholds of CU ≥ 90% and WDEL ≤ 15%. The suitable time for the first strategy (56%) was always lower than for the standard and the relaxed strategies (with respective average values of 75 and 86%), and higher than for the restrictive strategy (30%). In order to design the collective network, the hydrant operating time was equalled to the suitable time for irrigation. The differences in the cost of the collective network plus the on-farm equipment were particularly relevant between the restrictive strategy and the other three. Differences in suitable operating time were clear between sprinkler spacings, and less evident between sprinkler models. The application of the proposed methodology may be limited by the availability of historical wind speed records and CU estimates for different combinations of sprinkler models, sprinkler spacings and wind speed.     

Inverse Modeling to Quantify Irrigation System Characteristics and Operational Management

Remotely sensed (RS) data is a major source to obtain spatialdata required for hydrological models. The challenge for thefuture is to obtain besides the more direct observable data(landcover, leaf area index, digital elevation model andevapotranspiration), non-visible data such as soilcharacteristics, groundwater depth and irrigation practices.In this study we have explore the option of using inversemodeling to obtain these non-RS-visible data. For a commandarea in Haryana, India, we applied for the 2000–2001 rabiseason a RS-GIS-combined inverse modeling approach to derivenon-RS-visible data required in the regional application ofhydrological models. A Genetic Algorithm loaded stochasticphysically based soil-water-atmosphere-plant model (SWAP) wasdeveloped for the inverse problem and used in the study. Theresults showed good agreement with the inventoried data suchas soil hydraulic properties, sowing dates, groundwaterdepths, irrigation practices and water quality. The deriveddata could be used to predict the state of the system at anytime in the cropping season, which can be used to evaluateoperational management strategies.     

柴油机螺旋气道数字化设计方法

通过系统分析柴油机螺旋气道几何结构以及气道敏感区域对气道流通性能的影响关系,确定了构建螺旋气道的关键结构参数。提出了一种以气缸盖结构为约束条件,涡流比为设计目标,再进行流量系数优化的螺旋气道数字化设计方法,建立了螺旋气道参数化数学模型,开发了一款柴油机螺旋气道数字化建模软件。针对一款自主开发的卧式两缸柴油机螺旋气道的设计要求,采用螺旋气道数字化建模软件建立了螺旋气道数字化三维模型,进行了模型光顺性分析和流通性能分析。分析结果表明,螺旋气道数字化设计方法具有一定的可行性和通用性,只需提供气缸盖结构、流通性能(涡流比和流量系数)的设计要求,通过该数字化设计方法和建模软件就能设计出满足要求的螺旋气道。