沸石曝气生物滤池处理船舶生活污水的研究

采用间歇运行的沸石曝气生物滤池(ZBAF)处理模拟船舶生活污水,研究表明,ZBAF对污水温度、pH、船舶倾斜与摇晃、污水水质波动等具有较好的适应性;在水力停留时间HRT=1.5 h,温度T=30℃,pH=7,曝气量Q=0.16 L/min,当进水化学需氧量COD=798.86 mg/L,氨氮NH3-N=56.45 mg/L,出水COD=48.81 mg/L,NH3-N=14.78 mg/L,去除率分别为93.94％和73.82％;装置承受的最大进水COD=1361 mg/L;研究发现反冲洗能明显改善出水水质.实践证明,在WCBMBR装置中,将沸石曝气生物滤池(ZBAF)取代生物接触氧化柜具有明显优势.     

基于粒子滤波算法信息融合的磁悬浮列车定位研究

为提高磁悬浮列车的行车安全和效率,采用多传感器信息融合技术对中低速磁悬浮列车进行测速定位,以交叉感应回线测速定位和雷达传感器对进行相对定位,以查询应答器来实现绝对定位。利用粒子滤波算法对中低速磁悬浮列车测速定位的精度和可靠性进行分析,并用MATLAB仿真进行验证,证明该融合结构和融合算法能够提高列车的定位精度。     

典型集约化污水处理厂工艺设计——以南京某项目为例

南京大厂污水处理厂新建工程(一期)设计规模9万m³/d，出水执行《城镇污水处理厂污染物排放标准》(GB 18918—2002)一级A标准。介绍和分析了大厂污水处理厂工程设计难点，由此确定一期工程处理的工艺方案选择和设计参数，确定了改良型AAO+磁混凝沉淀+反硝化深床滤池+污泥深度浓缩脱水的处理工艺。通过工艺选择和组团式布局解决了用地紧张的难题，利用先进的设备技术保障准Ⅳ出水达标的可行性。对同类标准工程设计有一定的借鉴意义。     

Evaluation of RAOs of a semi-submersible platform using field measurements: A full-scale model in Caspian sea environmental conditions

The present research investigates the motion response of a semi-submersible platform using measured field data. The Iran-Amirkabir semi-submersible platform (SSP) was considered as full-scale model in operation conditions. First, 14 accelerometer sensors were installed on the platform's hull, and measurements were made in 5 different scenarios in the Caspian Sea environmental conditions. Then, the Response Amplitude Operators (RAOs) for six degrees of motion were extracted using measured accelerator data. The Surge, Sway, and Heave RAOs processed by the Kalman estimation filter, Pitch, Roll, and Yaw RAOs were calculated from the Sensor Array method. Moreover, the boundary element method in ANSYS/AQWA software for the Iran-Amirkabir semi-submersible model was developed, and the RAO results were validated against the extracted field measurements. The obtained results from the Sensor Array method and the Kalman estimation filter are compared with the numerical simulations, which show Root Mean Square Errors of less than 3% and 4%, respectively for rotational and translational movements. The Mean Square Errors between both methods were also close to zero. Therefore, the proposed methods predicted activities of the studied SSP with relatively good accuracy by field data collected in the Caspian Sea.