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双语推荐:风速

新疆750kV乌鲁木齐~哈密输电线路利用沿线气象站和铁路测风站的实测风速数据,分析了本研究区内的10min平均风速、月平均风速、各风向频率及最大瞬时风速、大风危害,并建立了10min平均最大风速与瞬时最大风速的回归方程,求得铁路的测风站的最大风速,考虑到线路的走向、地形和微地貌等因素对线路设计风速的影响,对新疆750kV乌鲁木齐~哈密输电线路的设计风速提出了建议,供设计参考。
By statistical analysis of the weather station characteristics and the railway weather station along the 750kV transmission line of Xinjiang province. Finding that the basic characteristics of the area wind. The analysis also gets the statistics relations of the annual maximum 10-min averaged wind velocity at the height of 10 m above the station ground and the extreme wind speed. The rules give the design wind velocity for 750kV Urumqi??~Turpan?~Hami Transmission Line.

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为实现高度计风速与辐射计风速的融合,采用Kriging插值方法将辐射计风速插值到高度计路径得到高度计风速观测算子,建立高度计风速与辐射计风速融合的代价函数;利用变分方法求解分析风速,得出融合结果.分别在仅高度计风速有误差、仅辐射计风速有误差和两者都有误差的情况下开展了模拟试验,结果表明变分融合结果更接近于理想风速,尤其在高度计路径上更为明显.选取Jason-1高度计第241周期风速资料和与其时空匹配的国防气象卫星计划F17上所搭载的专用传感器微波成像仪辐射计风速资料开展了实例试验,结果表明融合后的结果更加接近于浮标观测结果,证实了变分融合方法的有效性.经统计,上述高度计和辐射计资料有60%时空匹配,开展风速融合有重要的理论及应用价值.该变分融合方法可应用于我国海洋二号卫星所载高度计与辐射计风速反演结果的融合.
10.7498/aps.62.129202

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风力发电的出力直接取决于风速,因此需要提高风速的预测精度。考虑到风速点预测精度的提高有较难克服的瓶颈,文中提出一种针对风速的区间预测方法,将集对分析原理引入风速的区间预测中,利用风向、温度、气压、湿度等影响因素的训练数据,并考虑风速点预测的结果误差分布及风速变化率的影响,确定未来某时间段内风速的预测值所属的分类集合,以该分类集合的上下限作为风速预测区间的上下限,从而实现了风速的区间预测。以国内某风电场的数据进行训练和预测,验证了基于集对分析理论的风速区间预测方法的有效性,同时所提方法的预测结果可以用于风电场功率预测。
Wind farm output power is directly depended on the wind speed,and it is necessary to improve the prediction accuracy of the wind speed.Taking the difficulty of improving the wind speed point forecast accuracy into account,this paper presents a method for wind speed interval prediction based on the set pair analysis theory.This method uses the training data of wind direction,temperature,pressure,humidity,etc.,which are the influential factors of wind speed.On the other hand,by considering the error distribution of the wind speed point forecast and the change rate of wind speed,the classified collection which the predictive value of the wind speed in a certain period in the future belongs to is determined.The upper and lower limits of the classified collection are taken as the upper and lower limits of the wind speed prediction interval,thus the wind speed interval prediction is realized.By using the training and prediction data that come from a wind farm in China,the effectiveness of th

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海面风速对海洋中动能的转移、海气间物质和能量的交换具有非常重要的作用。海洋二号(HY-2)卫星搭载的雷达高度计、微波散射计和扫描微波辐射计均可以用来探测海面风速。区别是雷达高度计只能测量星下点风速,微波散射计可以得到宽刈幅的风场(包括风向和风速),扫描微波辐射计可获得宽刈幅的风速。为了更好地分析3个载荷风速测量能力,针对2013年9月19日"天兔"台风影响海域范围内的海面风速,比较了3种载荷的探测结果。结果表明,在小于20 m/s风速范围内,雷达高度计和微波散射计探测到的风速非常接近,标准偏差小于2m/s,而扫描微波辐射计测量的风速比另外两个载荷测量的风速大;在20~35m/s风速范围内,雷达高度计和扫描微波辐射计风速较为接近;在大于35 m/s的高风速区,只有扫描微波辐射计可以探测出风速,但其测量精度还需要进一步验证。
Sea surface wind speed plays a very important role in the transfer of kinetic energy in the ocean and the exchange of the matter and energy in the air-sea surface. There are three payloads on HY-2 satellite which can be used to detect the sea surface wind speed. The payloads are radar altimeter,microwave scatterometer and scanning microwave radiometer. The diffe-rence is that the radar altimeter can measure the wind speed at the nadir point of the HY-2 satel-lite,the microwave scatterometer can detect the wide swath wind field,and the scanning micro-wave radiometer can measure the wide swath wind speed only. In order to analyze the capacity of the three payloads,in this study,the Typhoon Usagi was selected for comparing the ability of the three payloads to measure the wind speed. It turned out that when the wind speed is lower than 20 m/s,the wind speed from radar altimeter is much the same as that from microwave scat-terometer. The standard deviation is less than 2 m/s. But when wind

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该文利用数值仿真手段分析了全球导航卫星系统海面反射(GNSS-R)信号的时延相关功率曲线特征,讨论了风速、风向、GNSS卫星高度角、接收机平台高度和速度等因素对海面散射信号相关功率的影响,给出了GNSS-R海面风速的反演方法和技术流程,并进行了试验验证。结果表明,在中低风速条件(<20 m/s)下,GNSS-R测量的海面风速与实测风速的基本一致,说明 GNSS-R 探测海面风速的可行性以及该文给出的海面风速反演方法的正确性。当风速超过20 m/s时,由于受海浪谱模型的限制,其反演的结果明显低于实测风速。最后,根据试验结果,初步给出了GNSS-R测量海面风速的修正模型。
This paper introduces the mechanism of sea surface wind measurement using Global Navigation Satellite System Reflection (GNSS-R) signal and sea surface scattered signal theoretical model. Then the delay waveform of sea surface scattered signal is analyzed through numerical integration, and the influence of wind speed, wind direction, GNSS satellite elevation angle, receiver height and receiver speed on this delay waveform is discussed in detail. Based on the above analysis, the algorithm of GNSS-R sea surface wind retrieval is proposed. In order to validate the mechanism of GNSS-R measuring sea surface wind and the accuracy of this algorithm, Hurricane Dennis is used to test. The result shows that GNSS-R wind speed is generally consistent with the observational data for the low-moderate wind speed ( 20 m/s). Finally, the correction model of GNSS-R wind speed is initially proposed on the basis of the experimental results.

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建立多时间尺度的风速模型,其目标是模拟风电机组的出力特性,建立有效的风电场稳态和暂态模型,利用仿真分析风电场接入后电力系统的运行状态,对研究含风电的电力系统动态过程和中长期经济调度问题具有非常重要的意义。采用分段线性化方法和基于夹角距离的相似度匹配进行风速的同类趋势聚合,利用聚合数据构建径向基函数神经网络拟合风速趋势,并在此基础上结合风速集合量化概率分布和趋势变化2个约束,对概率分布函数生成的随机风速序列按照趋势的最小偏度进行重构,建立符合真实变化规律的风速模型。算例基于一组实测数据建立了同趋势的随机风速模型,从变化曲线和功率谱密度曲线对真实风速序列和模拟的随机风速序列进行了分析对比。实验结果证明,与传统的建模方法相比,建立的模型既能够反映风速的长期趋势特征,又保留了风速变化的动态特性,显著提升了风速模型的多样性与真实性。
To simulate output characteristics of wind power generator a multi time scale wind speed model is established, and it is very important for the study on dynamic process and medium- and long-term economic dispatching of power grid containing wind farm to build effective steady-state and transient models of wind farm to research the operating conditions of power grid integrated with wind farm by simulation analysis. Using piece-wise linearization and similarity matching based on angle distance the wind speed with similar trend is aggregated and using the aggregated data a radial basis function neural network (RBFNN) is constructed to fit the trend of wind speed, and on this basis of combining with the two constraints, i.e., the quantized probability distribution of wind speed aggregation and the trend variation, the random wind speed sequence generated by probability distribution function is reconstructed according to the minimum deviation of the trend to establish a wind speed model con
根据超声波风速风向传感器工作原理,建立船舶运动状态下超声波风速风向动态测量的理论模型,并搭建船舶动态风速风向测量的模拟平台.在不同风速和风向条件下进行大量实验.数据分析表明,实验结果与理论模型一致.该结果可为船舶运动状态下风速风向动态测量误差补偿提供理论基础.
According to the principle of ultrasonic wind speed and direction of the sensor , a theoretical model of dynamic measurement for ultrasonic wind speed and direction in the condition of ship motion is established , and a simulated tes-ting platform for speed and direction measurement is put up . A large number of experiments under the conditions of differ-ent wind speed and direction are carried out , and data analy-sis shows that the experiment results are consistent with those of the theoretical model , which can provide a theoretical basis for error compensation for dynamic measurement for ultrasonic wind speed and direction in the condition of ship motion .

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根据1128h的实测强风风速样本,对某空旷平坦地貌下10 m高度处的非平稳强风风场湍流特性进行了研究。基于平均风速在基本时距内的平稳性,建立了非平稳强风风场的平稳风速模型和非平稳风速模型,分别计算这两类模型下的各风场湍流特征参数并加以对比。结果表明:55%的实测风速样本具有较强的非平稳性,采用非平稳风速模型更能反映实际风场风速;研究湍流特征参数随平均风速的变化规律,其中湍流强度随风速变化不明显,主要集中在0.16~0.20,大于我国现行荷载规范规定的B类场地10 m高度湍流度值0.14;阵风因子随平均风速减小,湍流积分尺度则随之增大;相对于其他风速谱,Davenport谱更能准确描述强风风场的能量分布。
The turbulent characteristics of nonstationary strong wind were analyzed based on field measured wind records of 1 128-h long collected at a height of 10 meters over an open flat terrain.According to the assumption that the average wind speed component was deterministic time-varying in a time interval,a nonstationary wind model was proposed and then applied to find its turbulent characteristics.The results were compared with those calculated with a stationary wind model where the average wind speed component was assumed constant.It was found that 55% samples of wind records are nonstationary,and the nonstationary wind model is more appropriate for charactering wind speed.The variations of turbulent characteristics versus wind speed were studied,and it showed that the turbulent intensity seems to have no significant relationship with wind speed and mainly distributes within 0.16 !0.20,it is slightly greater than 0.14 given in our current country''s wind load codes;the gust fac

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为解决索道风速检测系统存在的问题,采用基于ZigBee技术的XBee-Pro模块,提出了一种新型索道风速自动测量系统的方案。该系统能够实时监测索道运行环境中的风速,实现风速的实时显示和超限报警,避免风速超限造成的人员和索道系统的损害。该系统的研发提升了索道运行环境检测的智能化水平,可广泛应用于各种索道和其他系统的风速检测中。
In order to solve the problem existing in ropeway wind speed auto measurement system, a scheme of a new ropeway wind speed auto measurement system is presented, in which XBee-Pro module based on ZigBee technology is used. The system can execute the real-time monitoring of wind speed in the environment around the ropeway, display the wind speed in real time, and realize the alarm when the wind speed is out of limit, so as to avoid the ropeway damage or the passenger injuries. The development of this system promoted the intelligent level of ropeway wind speed auto measurement system. It can be widely applied to wind speed auto measurement for various types of ropeways and other systems .

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利用河西地区15个气象站点1961~2010年月平均风速和最大风速日值资料,采用M-K突变检验、ArcGIS中的IDW插值和小波分析等方法分析河西地区平均风速的时空变化趋势。结果表明:近50 a来,河西地区年平均风速呈明显下降趋势,其递减速率为0.14 m/( s?10 a)(α=0.001);该地区四季平均风速均呈减少趋势且减少趋势相同;平均风速的变化在空间分布上存在差异,具体表现为年平均风速的递减趋势是自西向东逐渐减小,瓜州和玉门是该地区减幅最大的区域,而乌鞘岭却呈现出微增的趋势;风速的长期变化具有一定的突变性,其年平均风速在1985年发生突变;该地区平均风速存在存在多尺度的周期结构特性,其变化周期为6、19和25 a。
Hexi area is characterized with a vulnerable ecological system and severe soil erosion in the north-west of China. Analyzing the trend of the average wind speed is critical for wind resources management and soil erosion control in this region. Based on the monthly average wind speed of the 15 weather stations in Hexi area from 1961 to 2010 and using the methods of climate trending rate, 5 years running mean tread, Inverse Distance Weighted interpolation, Mann-Kendall abrupt change test and wavelet analysis method, the spatial and temporal trends of the average wind speed as well as the possible influential factors were analyzed in Hexi area of Gansu Province from 1961 to 2010. The main results are as follows:1) The annual average wind speed was 2.9 m/s in Hexi area. The annual average wind speed obviously decreased at the rate of approximately 0.14m/(s·10 a) (α=0.001) in Hexi area during the period of 1961-2010. Furthermore, on the seasonal scale, the decreased rate of four

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