PLS-based EWMA fault detection strategy for process monitoring

Fault detection (FD) and diagnosis in industrial processes is essential to ensure process safety and maintain product quality. Partial least squares (PLS) has been used successfully in process monitoring because it can effectively deal with highly correlated process variables. However, the conventional PLS-based detection metrics, such as the Hotelling's T² and the Q statistics are ill suited to detect small faults because they only use information from the most recent observations. Other univariate statistical monitoring methods, such as the exponentially weighted moving average (EWMA) control scheme, has shown better abilities to detect small faults. However, EWMA can only be used to monitor single variables. Therefore, the main objective of this paper is to combine the advantages of the univariate EWMA and PLS methods to enhance their performances and widen their applicability in practice. The performance of the proposed PLS-based EWMA FD method was compared with that of the conventional PLS FD method through two simulated examples, one using synthetic data and the other using simulated distillation column data. The simulation results clearly show the effectiveness of the proposed method over the conventional PLS, especially in the presence of faults with small magnitudes.     

井下光谱多参数分析系统开发

本系统基于气体浓度光学分析方法理论朗伯-比尔(Lambert-Beer)定律、光谱气体检测技术开发,实现了对煤矿火灾与瓦斯灾害超前预警、灾害产生的有毒有害气体实时监测和煤矿环境气体爆炸危险性辨识,对于煤矿灾害防治、救灾过程中杜绝次生灾害,保障煤矿工人及救护队员的生命安全,促进煤矿安全生产具有重要意义。     

SELECTING TREND TESTS FOR WATER QUALITY SERIES WITH SERIAL CORRELATION AND MISSING VALUES1

ABSTRACT: The use of nonparametric tests for monotonic trend has flourished in recent years to support routine water quality data analyses. The validity of an assumption of independent, identically distributed error terms is an important concern in selecting the appropriate nonparametric test, as is the presence of missing values. Decision rules are needed for choosing between alternative tests and for deciding whether and how to pre-process data before trend testing. Several data pre-processing procedures in conjunction with the Mann-Kendall tau and the Seasonal Kendall test (with and without serial correlation correction) are evaluated using synthetic time series with generated serial correlation and missing data. A composite test (pre-testing for serial correlation followed by one of two trend tests) is evaluated and was found to perform satisfactorily.     

基于不同废污泥源的短程反硝化快速启动及稳定性

为探究不同废污泥源快速启动短程反硝化和实现稳定NO_2~--N积累的可行性,在3个完全相同的SBR反应器(S1、S2和S3)分别接种:实验室城市污水反硝化除磷系统排泥、城市污水厂剩余污泥及河涌底泥,比较其短程反硝化启动快慢和NO_2~--N积累特性,考察系统短程反硝化活性和NO_3~--N→NO_2~--N转化性能,并从微生物学角度分析反应器功能菌群特征.结果表明,在乙酸钠为唯一碳源、高碱度和适宜COD/NO_3~--N比进水条件下,3个SBR短程反硝化反应器在短时间内均能够成功启动,系统平均NO_3~--N→NO_2~--N转化率为S1 S2 S3(75. 92% 73. 36% 69. 90%).同时发现持续低温条件下S1和S2呈现不同程度的短程反硝化性能恶化趋势,但S3能够稳定维持良好NO_2~--N积累性能.微生物高通量测序表明,变形菌门和拟杆菌门居PD系统主导地位,3个短程反硝化反应器NO_2~--N积累关键功能菌属Thauera属丰度差异明显:S3 S1 S2(25. 09% 4. 71% 3. 60%),表明S3具备稳定高效的NO_2~--N积累性能,同时高丰度Thauera属可能是维持低温短程反硝化活性的重要原因.     

焚烧飞灰重金属含量及浸出长期变化规律研究

通过对24个飞灰样品的重金属全量消解和高精度X射线荧光光谱法（HDXRF）快速检测结果进行线性回归分析,发现HDXRF法可较准确测定飞灰中Cu、Pb、Zn、Ni和Cd含量（线性回归决定系数R²³0.90）.采用HDXRF法对某焚烧厂飞灰重金属含量6个月快速检测及浸出毒性测定数据统计分析发现：飞灰重金属月均含量较稳定（变异系数CV<0.14）但日均含量波动较大（CV>2.54）;飞灰中Pb、Cu和Zn含量呈正相关（相关系数r>0.78）;金属浸出浓度受浸出液终点pH值影响显著,超标频率依次为Pb（68.9%）、Cd（66.1%）、Ni（24.0%）、Cu（14.2%）和Zn（1.6%）.短期飞灰金属含量和浸出毒性数据受焚烧工况,烟气处理工况和垃圾组分等多种因素共同影响,不具有代表性.为评估垃圾分类源头削减重金属效果,建议采用快速检测方法对焚烧飞灰重金属含量进行长期监测.     

浅淡大阻力配水系统的技术改造

大阻力配水系统滤池由于采用穿孔钢管配水 ,而穿孔钢管容易腐蚀、结垢 ,导致孔眼堵塞 ,再若高位水箱反冲强度掌握不当 ,会使承托层和滤料冲洗混乱 ,滤池不能正常运行。针对这一问题 ,湖州市自来水公司与浙江省玉环净化厂联手 ,利用该厂滤板、滤头及有关专利新技术 ,对自来水公司的 6万t/d快速滤池进行改造 ,运行半年来 ,取得了满意的结果。     

生物硝化池污水中硝化细菌的快速定量研究

实验采用聚合酶链式反应（PCR）技术与最大几率数法（MPN）相结合的MPN－PCR法对生物硝化池污水中的硝化细菌进行快速定量。所用的一对PCR引物是在对硝化细菌的16SrRNA基因进行系统比较的基础上设计合成的，可以扩增出大小为388bp的DNA片段。以从生物硝化池污水中抽提的含硝化细菌DNA的混合DNA为模板，进行PCR扩增并确定合适的扩增条件。运用MPN－PCR法进行定量检测的整个过程可在几小时之内完成。     

Can Forest-protection carbon projects improve rural livelihoods? Analysis of the Noel Kempff Mercado climate action project,Bolivia

We studied the Noel KempffMercado Climate Action Project (NKMCAP),Bolivia, to assess whether forestprotection carbon (C) projects cansignificantly benefit local people. Wehypothesized that forest protection canonly securely deliver C if significantstakeholders are meaningfully andtransparently involved, traditional orcustomary rights are recognized and theirloss compensated for, and there are directlinkages between conservation anddevelopment objective. Our researchfocused on 53 members of the communities ofFlorida, Porvenir and Piso Firme and 36secondary stakeholders. In each of thevillages we held half-day meetings withcommunity leaders, complemented bysemi-structured one-hour interviews with 5,10, and 7 families, representing 20%, 10%and 8% of each community. The long-termimpact of the NKMCAP on the localcommunities may well be positive. However,in the short run, certain sections of thelocal communities are financially poorer. Forest protection projects clearly have thepotential to sequester C, protectbiodiversity and simultaneously contributeto sustainable rural development, but ifthey really are to improve rurallivelihoods, they must be designed andimplemented carefully and participatively.