建立速度模型的层析成像方法研究

针对目前叠前深度偏移速度模型建立中，全局反演的层析成像方法存在稳定性和走时拾取困难，以及局部反演的偏移速度分析大多存在假设条件过于苛刻等问题，通过分析，提出了利用地震同相辅的多种信息进行层析反演，并在反演中加入富有地质含义的倾角信息以增加反演过程的稳定性和收敛速度，利用类似于叠加速度谱的斜率速度谱来拾取地震同相轴的斜率，抛开了层位反演要求拾取同一同相轴这一实际应用难度很大的条件，使拾取方便，算法稳定。通过理论试算，证明了本方法的有效性。     

Software for dynamic reconfigurable order picking systems

This paper describes an approach, conceptual framework, and software architecture for dynamic reconfiguration of the order picking system. The research and development project was sponsored by the Material Handling Research Center (MHRC), a National Science Foundation sponsored Cooperative Industry/University Research Center. The storage configuration is assumed to be an in-the-aisle order picking system in which stockkeeping units (SKUs) can occupy variable capacity storage locations and stock-splitting is allowed among zones (clusters). The product mix may include multiple product families with different life cycles, correlated demand within families and commonality of demand across families.     

蒙特卡洛法速度谱的自动拾取

蒙特卡洛速度谱的自动拾取采用一种非线性优化的快速方法，所得叠加速度的精度可以满足常规地震资料处理中叠加的要求，转换为层速度后可用于叠前深度偏移成象，在给定初始速度模型前提下建立优化目标函数。采用蒙特卡洛非线性优化算法，以最大相似度量准则在考虑实际地质条件前提下给出速度约束条件，对初始速度模型加以扰动，自动寻找速度谱中叠加能量的全局最优解，从而获得合理的速度模型。实际地震资料处理的应用结果表明，自动拾取速度谱比常规的人工速度谱解释工作的效率大幅度提高。在SUN Ultra60机上,仅需1h即可完成2000km的地震资料的速度谱拾取任务，而且所获得的速度模型不受人为因素影响，转换所得的层速度模型用于叠前深度偏移后，获得了满意的成象效果。     

电容式传感器微电容检测电路的研究

基于MEMS技术研制的微电容传感器,其有效电容的实际变化量仅为飞法级。实验表明,二元调宽式信号拾取专用集成电路BH5001为检测微电容变化量建立了一个高信噪比的平台,结合优良的巴特沃斯低通滤波器和高品质的差动放大器,即可完成微电容的检测。     

Adaptive picking of microseismic event arrival using a power spectrum envelope

An automatic, adaptive, spectrogram-based algorithm for picking the arrival time of microseismic data is proposed. The algorithm provides a significant improvement in the ratio of detected events to false triggers and in the resolution of the microseismic structure. It mainly addresses the problem of automatic picking when the signal-to-noise ratio (S/N) is low and so false and missed triggers frequently occur. It combines the short time average/long time average (STA/LTA) algorithm with an envelope algorithm. It also constructs an envelope from a time-frequency representation of the signal. The threshold is set dynamically, according to the existing noise level and the S/N ratio. The algorithm also uses the fixed LTA value to represent the noise level for a seismic record. It is applied to pick the arrival times of P-waves of local events recorded at eight stations.     

Throughput analysis for order picking system with multiple pickers and aisle congestion considerations

Most of previous studies in picker-to-parts warehousing systems investigated only single-picker operations and are therefore adequate to evaluate order picking efficiency by travel distance as aisle congestion never takes place in such systems. In real world applications, the congestion inevitably occurs when a system has multiple pickers working together within the same region. This paper presents an approximation method based on a GI/G/1 closed queueing network by using self-correcting approximation technique algorithm to evaluate the throughput time of an order picking system with multiple pickers and aisle congestion considerations for different routing policies. The results generated by the proposed method are compared and validated via simulation model using eM-plant simulator for different sizes of warehouses. The results indicate that the approximation method appears to be sufficiently accurate for practical purposes. The sensitivity analysis of the throughput time with respect to order sizes, number of pickers and number of aisles are conducted and the performance of different item storage policies are also evaluated using the proposed approximation model.     

利用相似性比较提取车轮图像

提出一种从大量的列车序列图像中提取包含完整车轮的清晰图像的方法．采用两级分析的方法，首先利用直方图交叉方法比较标准图像与候选图像之间的直方图相似度；然后用小波变换对图像进行多尺度分解，从小波系数中计算图像的各个方向边缘特征；最后将这两种特征结合起来，将那些满足阈值条件的图像选择出来．实验和实际应用表明，该方法可以有效地将清晰的车轮图像提取出来。     

交互式图形系统中图形拾取算法的研究与应用

研究了交互式图形系统中图形的拾取问题．并针对传统图形拾取算法精度低、效率不高的问题进行了改进。改进后的算法被应用到上海市某大型储罐地基处理项目中,实践表明该算法具有高效准确的特点,可进一步推广应用。     

基于遗传算法的双区型仓库人工拣货路径优化

为获取捡货作业的最优路径,本文以某配送中心双区型仓库中人工拣货作业为研究对象,探讨了订单批量处理和拣货路径优化问题,建立了拣货车容量受限的TSP模型,并基于遗传算法,设计一种启发式算法对拣货路径进行优化处理,同时,应用Visual 6.0C++程序进行仿真实验,以快速获得任意订单中所有待拣货物的拣取顺序,计算出最短路程。仿真结果表明,将考虑拣货车容量限制的情况下求得的最优路径与未考虑拣货车容量限制的情况下求得的最优路径进行对比,结果拣货的先后次序完全不同,说明考虑运载量是有效的,且更符合实际情况。该研究不但提高拣货效率,而且节约各项成本,对现实仓库的拣货作业具有实际应用价值。     

C型行波法在配电网故障测距中应用之研究

为解决配电网故障定位问题,使配电网故障定位自动化,以减少巡线工作量和用户停电时间,提出了利用C型行波法对单相接地故障进行故障测距的方法。该方法基于C型行波定位理论,通过在线路始端注入一高幅值脉冲,使用高采样率采集装置在始端接收返回波形,再选取适当的滤波器进行数字滤波滤除噪声提纯有用信号,并使用隔点差分的方法确定行波在线路始端和故障点之间返回所用的时间,从而在较短时间内计算出故障距离。同时,通过分析行波在带分支线路中的传输过程,提出了确定简单配电网络的拓扑结构的方法。经过理论分析、ATP仿真及实验室模拟实验,并对所得数据进行有效分析,证明了该方法的正确性,也说明该方法在配电网故障定位中是实际可行的。