低密度泡沫玻璃的研究与应用

低密度泡沫玻璃是利用碎玻璃制造的一种气孔率大于90%的隔热保温材料,它具有强度高、导热系数小、吸水率低、不吸湿、耐腐蚀等特性,在潮湿环境下抗冻性能好,是一种优良的低温、超低温隔热保温材料。该产品用途广泛,所用的原材料简单易得,但生产工艺过程比较复杂,生产过程控制精度要求较高,容易产生各种缺陷而影响产品的质量。本文对低密度泡沫玻璃的生产工艺过程进行详细的分析研究,提出相应的措施,确保产品的低密度和高成品率,提高产品的性能,扩大产品的使用范围。     

影响超声波热量表流量测量单元静态时间差因素的探讨

超声波热量表主要包含流量测量单元和温度测量单元两部分,其中流量测量单元主要由传感器管道、反射片保持架、换能器等零部件组成。流量测量单元的静态时间差很大程度决定了热量表整体性能。我们通过大量的标定实验来验证各个要素对测量单元静态时间差的影响。     

用于高速旋转载体的惯性导航系统设计

针对高速旋转载体的实际应用情况,采用了无陀螺捷联惯性导航技术方案,快速精确测量载体的姿态、速度和位置信息。无陀螺捷联惯导系统采用加速度计来解算载体相对惯性系的角速度,从而代替角速度陀螺仪,提高了系统的高过载的适应能力。首先推导了一种基于六加速度计配置方式力学编排方程,分析了加速度计精度、杆臂长度以及时间等因素对角速度误差产生影响,最后仿真分析了加速度计精度对惯导系统的定位精度的影响,为系统设计提供理论依据。     

基于模糊PID算法的空调机组温度控制

针对中央空调系统空调机组温度控制的非线性、滞后性及时变性等特点,设计了基于模糊PID算法的空调机组温度控制系统,实现了空调机组温度的实时在线控制.该系统选用MCGS组态软件实现系统运行状态的监控,使用西门子S7-1200 PLC进行现场设备控制.运行结果表明模糊PID控制器设计合理,有效改善了空调过程的调节品质,提高了空调机组的温度控制质量.     

改良MEA脱碳技术在小氮厂变换气脱碳中的应用

介绍了改良MEA脱碳技术的基本原理、工艺特点以及在工业中的应用情况，实践表明，改良MEA提高了溶液的吸收能力，降低了再生热耗，解决了MEA易降解损耗等问题。     

Adaptive block size for dense QR factorization in hybrid CPU–GPU systems via statistical modeling

QR factorization is a computational kernel of scientific computing. How can the latest computer be used to accelerate this task? We investigate this topic by proposing a dense QR factorization algorithm with adaptive block sizes on a hybrid system that contains a central processing unit (CPU) and a graphic processing unit (GPU). To maximize the use of CPU and GPU, we develop an adaptive scheme that chooses block size at each iteration. The decision is based on statistical surrogate models of performance and an online monitor, which avoids unexpected occasional performance drops. We modify the highly optimized CPU–GPU based QR factorization in MAGMA to implement the proposed schemes. Numerical results suggest that our approaches are efficient and can lead to near-optimal block sizes. The proposed algorithm can be extended to other one-sided factorizations, such as LU and Cholesky factorizations.     

宽温耐硫变换催化剂制备工艺研究

利用催化剂活性评价、催化剂活性组分含量测定、Ｘ—光衍射等手段，研究了共浸法制备宽温耐硫变换催化剂制备工艺过程中载体氧化铝的吸水率、浸渍条件、煅烧温度等对催化剂性能的影响。     

A comprehensive approach to evaluating watershed models for predicting river flow regimes critical to downstream ecosystem services

Selection of strategies that help reduce riverine inputs requires numerical models that accurately quantify hydrologic processes. While numerous models exist, information on how to evaluate and select the most robust models is limited. Toward this end, we developed a comprehensive approach that helps evaluate watershed models in their ability to simulate flow regimes critical to downstream ecosystem services. We demonstrated the method using the Soil and Water Assessment Tool (SWAT), the Hydrological Simulation Program–FORTRAN (HSPF) model, and Distributed Large Basin Runoff Model (DLBRM) applied to the Maumee River Basin (USA). The approach helped in identifying that each model simulated flows within acceptable ranges. However, each was limited in its ability to simulate flows triggered by extreme weather events, owing to algorithms not being optimized for such events and mismatched physiographic watershed conditions. Ultimately, we found HSPF to best predict river flow, whereas SWAT offered the most flexibility for evaluating agricultural management practices.     

大涝坝气田油气井远程监控系统设计与实现

大涝坝气田地处戈壁腹地,自然环境差、油气井压力高、安全风险大。通过自动化、信息化手段实现油气井生产状况的远程监控是油田发展的必然趋势。依据油气井生产实际情况,设计了一套远程监控系统。该系统以三维力控ForceControl监控组态软件和安控RTU为软硬件核心,对油气井生产过程实现全天候自动监控。详细阐述了油气井远程监控系统设计思路,包括系统结构原理、硬件和软件设计。实践表明该系统具有很好的推广应用价值。     

基于CUDA的并行粒子群优化算法研究及实现

应用图形处理器(GPU)来加速粒子群优化(PSO)算法并行计算时,为突出其加速性能,经常有文献以恶化CPU端PSO算法性能为代价。为了科学比较GPU-PSO算法和CPU-PSO算法的性能,提出用"有效加速比"作为算法的性能指标。文中给出的评价方法不需要CPU和GPU端粒子数相同,将GPU并行算法与最优CPU串行算法的性能作比较,以加速收敛到目标精度为准则,在统一计算设备架构(CUDA)下对多个基准测试函数进行了数值仿真实验。结果表明,在GPU上大幅增加粒子数能够加速PSO算法收敛到目标精度,与CPU-PSO相比,获得了10倍以上的"有效加速比"。