Research and application of risk and condition based maintenance task optimization technology in an oil transfer station

Oil transfer stations of PetroChina mostly scatter in Gobi, mountain areas or other sparsely populated areas, inconvenient transportation and absent professional engineers often delay the best time to repair the machines. Time-or interval-based maintenance (TBM) accounts for almost 100%, while, On-condition maintenance and other proactive maintenance are seldom adopted. TBM not only can't prevent happens of equipment fault but also cause the waste of the maintenance resource. In order to allocate maintenance resources reasonably, ascertain the minimum preventive maintenance requirement, ensure the reliability, availability and safety, this paper carries out a research on Risk and Condition Based Maintenance (RCBM) task optimization technology. Utilizing the internet of things (IOT), real-time database, signal-processing, Gray Neural Network, probability statistical analysis and service oriented architecture (SOA) technology, a Risk and Condition Based Indicator Decision-making System (RCBIDS) is built. RCBIDS integrates RCM, condition monitoring system (CMS), key performance management module, file management module, fault and defect management module, maintenance management module together, which aims to realize remote condition monitoring, maintenance technical support services (TSS), quantitative maintenance decision-making, and to ensure the Reliability, Availability, Maintainability and Safety (RAMS). The Predictive Maintenance Indicator model, reliability prediction model and Key Performance Indicator (KPI) model, which are embedded in the RCBIDS, are constructed separately. An engineering case shows that the risk and condition based maintenance task optimization technology can be used to optimize maintenance content and maintenance period, to minimize maintenance deficiencies and maintenance surplus, and to prolong the lifespan of equipment.     

Mercury adsorption characteristics of HBr-modified fly ash in an entrained-flow reactor

In this study, the mercury adsorption characteristics of HBr-modified fly ash in an entrained-flow reactor were investigated through thermal decomposition methods. The results show that the mercury adsorption performance of the HBr-modified fly ash was enhanced significantly. The mercury species adsorbed by unmodified fly ash were HgCl₂, HgS and HgO. The mercury adsorbed by HBr-modified fly ash, in the entrained-flow reactor, existed in two forms, HgBr₂ and HgO, and the HBr was the dominant factor promoting oxidation of elemental mercury in the entrained-flow reactor. In the current study, the concentration of HgBr₂ and HgO in ash from the fine ash vessel was 4.6 times greater than for ash from the coarse ash vessel. The fine ash had better mercury adsorption performance than coarse ash, which is most likely due to the higher specific surface area and longer residence time.     

浙北水稻主产区田间土-水磷素流失潜能

选取嘉善、余姚、德清、余杭 4个具有代表性浙北水稻主产区 ,研究了水田土 水磷素流失潜能及环境意义 .4稻区高水平磷肥投入促进了土壤富磷化 ,土壤Olsen-P积累的同时 ,相应地提高了土壤生物性有效磷、水浸提磷 ,并提高了土壤磷素的流失潜能 .稻区土壤在富磷化过程中 ,存在着土壤磷素的农学意义向环境意义方向演变的趋势 .在非植稻期 ,稻区农田水体 ,包括沟渠水、田表水、排渠水、暗管排水等总磷 (TP)平均超过了易诱发水体富营养化临界值 ,其中溶解磷 (DRP)占总磷 40% ;主要是源于绿肥田表水及部分排渠中的溶解磷对稻区外水体构成了直接危害 .在非植稻期 ,因稻区间农耕措施的差异导致了土壤富磷水平与对应田表水磷素水平不具相关性 ;在植稻期 ,施磷措施促进水田土壤富磷 ,相应地提高了田表水磷素水平 .     

邢台煤矿矿井水的综合治理及利用

随着开采深度及范围的扩大，邢台煤矿井下高压出水点越来越多，既浪费了大量的排水费用，又对岩溶水环境和水资源造成了严重破坏。针对上述情况，用四种不同的方法分别进行了封堵和重新利用，使矿井减少了４８０ｍ＾３／ｈ的无效排水，经济效益和环保效益均十分明显。     

Mathematical model for the microbial metabolism of glucose induced enhanced biological phosphorus removal in an anaerobic/aerobic sequential batch reactor

Glucose plays a significant role in enhanced biological phosphorus removal (EBPR). Previous experimental studies have shown that in addition to acetate, glucose can induce and maintain a successful EBPR performance under certain operating procedures. Mathematical modeling of the EBPR metabolism is an important consideration that is necessary to produce a deeper insight into this process. In this study, four anaerobic reactions plus four aerobic reactions with fourteen kinetic constants are structured to describe the dynamic behavior of the key metabolic components in the glucose induced EBPR system. The development of the stoichiometric coefficients for the reactions is based on fundamental biochemical principles. The model describes the dynamics of the important storage compounds, which are considered separately from the active biomass. Sequential batch experiments were performed to find the optimum model parameters using sludges exhibiting stable EBPR from glucose fed system. The maximum specific substrate conversion rate in the glucose model is composed of two factors: the maximum specific rates of glucose direct conversion to PHV (q _gv ^max ) and glucose conversion to glycogen q _gl ^max , which are 14.1 and 699.7 C-mmol/C-mmol·h, respectively. The maximum specific rate of polyphosphate synthesis k _pp ^max is 0.2 P-mmol/C-mmol·h. The model with the best-fit parameters satisfactorily simulates the dynamic behavior of the key components during both anaerobic and aerobic conditions.     

构造湿地在污水处理厂二级出水后的深度处理应用研究

中国大部分污水处理厂目前均采用二级处理工艺,主要去除碳源污染物,而消解氮、磷类污染物的效果较差.在传统二级处理工艺基础上,对中水进行三级深度处理,BOD5、SS以及COD类污染物去除效果明显,但运行成本较高,处理量受限.人工构造湿地利用基质-植物-微生物复合生态系统的物理、化学和生物的三重协同作用,通过过滤、吸附与沉淀等作用,以及微生物同化分解和植物吸收转化等途径,可有效去除污水中的氮、磷、SS、有机物及重金属等污染物,且具有低投资、低运转费、低维持成本等特点.     

内生菌在修复重金属污染土壤的研究进展

内生菌是生活于植物的各组织、器官内部,但并不使植物表现出有害症状的真菌、细菌或放线菌。因其具有固氮、矿物溶解、光合作用、载运铁、利用1－氨基环丙烷－1羧酸为唯一氮源、传递营养物质等作用,内生菌在修复重金属污染土壤方面具有重要应用潜力。本文综述了内生菌及其抗重金属机理（促进植物生长和拮抗重金属方面）研究进展,以期为修复重金属污染土壤提供新思路。     

用蒽醌生产中的废硫酸制备硫酸钾

研究了以蒽醌生产中的废硫酸为原料,通过缔合,置换,解缔等步骤,制备硫酸钾的最佳工艺条件。在最佳条件下,可使废硫酸中Ｈ２ＳＯ４的质量分数从２３％降至０．６０％,废硫酸成盐率为８９．０１％,硫酸钾纯度为９５．８５％。     

Integrated energy management strategy of powertrain and cooling system for PHEV

ABSTRACT

Energy management strategy (EMS) is crucial in improving the fuel economy of plug-in hybrid electric vehicle (PHEV). Existing studies on EMS mostly manage powertrain and cooling system separately which cannot get the minimum total energy consumption. This paper aims to propose a novel EMS for a new type of dual-motor planetary-coupled PHEV, which considers cooling power demand and effect of temperature on fuel economy. Temperature-modified engine model, lithium-ion battery model, two motors, and cooling system models are established. Firstly, the separated EMS (S-EMS) is designed which manages powertrain and cooling system separately. Sequentially, after the analysis of thermal characteristics of the powertrain and cooling system, the thermal-based EMS (T-EMS) is then proposed to manage two systems coordinately. In T-EMS, cooling power demand and the charging/discharging energy of motors are calculated as equivalent fuel consumption and integrated into the object function. Besides, a fuzzy controller is also established to deicide the fuel-electricity equivalent factor with consideration of the effect of temperature and state of charge on powertrain efficiency. Finally, the hardware-in-loop experiment is carried out to validate the real-time effect of EMS under the New European Driving Cycle. The result shows that cooling power demand and temperature can significantly affect the fuel economy of the vehicle. T-EMS shows better performance in fuel economy than S-EMS. The equivalent fuel consumption of the cooling system of T-EMS decreases by 27% compared with that of S-EMS. The total equivalent fuel consumption over the entire trip of PHEV using T-EMS is reduced by 9.7%.     

基于土壤模式生物的纳米材料毒理研究进展

随着纳米科技与工业的高速发展,大量的纳米材料被广泛应用并最终汇聚到土壤环境中,对土壤生态和人体健康造成潜在影响。由于土壤生物具有多样性,选择具有代表性、敏感性并便于获取的土壤模式生物作为实验受体进行纳米材料的生物安全评估及环境毒理效应研究尤为重要。较为系统地回顾和总结了几种典型土壤模式生物的特点,为纳米材料毒理研究中受试生物的选择提供参考,在此基础上整理了大量基于典型土壤模式生物的纳米材料毒性研究资料,归纳了不同层次的研究方法,分析探索了纳米材料毒性机理,并展望了未来的研究重点。