大气回转反吹风袋收尘器在水泥库顶的应用

我公司现有水泥生产能力100万t,现有水泥库12个,水泥输送采用单仓泵气力输送,库顶收尘采用Z×75-42机械扁带除尘袋式收尘器,多年来水泥生产能力增加,收尘器未增加,加之该收尘器结构     

南方丘陵山区湿地氮磷时空变化及影响因素分析

对陈墩库区湿地从2015年9月到2016年8月进行水质监测,通过方差分析和相关性分析归纳总结湿地氮磷浓度变化规律,探究不同植物与湿地氮磷的相互作用。结果表明:陈墩库区TN、TP浓度在不同湿地季节变化有所差异,各湿地TN浓度在春、夏、冬差异显著;TP在冬季有显著差异,其余季节均无明显差异,陈墩库区TN、TP浓度季节变化与进水氮磷浓度和湿地面积、植物类型及生长状况密切相关;不同植物与湿地TN、TP呈现不同的相关性,这与水生植物对氮磷的吸收能力不同有关;轮叶黑藻、再力花、芦苇对氮磷的去除效果较好。     

1，1＇－二（1，3－二氧代长链烷基）二茂铁的合成与表征

用１，１＇－二乙酰基二茂铁与酯的Ｃｌａｉｓｅｎ缩合反应合成了５个新的１，１＇－二（１，３－二氧代长链烷基）二茂铁，其通式为Ｃ５Ｈ４ＦｅＣ５Ｈ４（ＣＯＣＨ２ＣＯＣｎＨ２ｎ＋１）２，ｎ＝５～９。通过元素分析、紫外－可见光谱、红外光谱、核磁共振氢谱和质谱对这些化合物进行了表征。结果表明，这些β－二酮仅以烯醇式存在。     

从废旧聚苯乙烯泡沫塑料中回收苯乙烯

本文采用有机溶剂甲苯作为消泡剂，用热裂解法从废旧聚苯乙烯泡沫塑料中回收苯乙烯，苯乙烯收率可达８０％以上。     

基于遗传算法优化的OCSVM双轮廓模型异常检测算法

针对Modbus工业总线协议的特殊性及工控数据样本的不均衡性,利用单类支持向量机（OCSVM）分别构建正常OCSVM模型和异常OCSVM模型,即双轮廓模态来模拟系统通信的正常模式和异常模式,从而实现工控系统异常检测。同时将遗传算法优化自变量降维应用于工控网络入侵检测场景,实现对输入自变量的降维压缩处理,防止OCSVM模型出现过拟合现象及分类准确率低的问题,提高异常检测的精度,缩减建模时间。通过仿真验证了该算法对工控网络异常检测的有效性。     

Graft copolymerization of styrene and acrylonitrile onto EPDM

Acrylonitrile–EPDM–styrene (AES) graft copolymers were synthesized by solution graft polymerization of styrene (St) and acrylonitrile (AN) onto EPDM in an n‐hexane/benzene solvent with benzoyl peroxide (BPO) as an initiator. The structure changes were studied by an FTIR spectrophotometer. The grafting parameters were calculated gravimetrically. The influence of the polymerization conditions, such as the reaction time, concentration of the initiator, EPDM content, and weight ratio of St/AN, on the structure of the products was investigated. It was found that a proper initiator concentration and EPDM content will give a high grafting ratio of the AES resin. The thermal property of the copolymer was studied using programmed thermogravimetric analysis (TGA). The results showed that the copolymer has a better heat‐resistant property than that of ABS, especially for the initial decomposition temperature (T_in) and the maximum weight loss rate temperature (T_max). Also, the mechanism of the graft reaction was discussed. © 2002 Wiley Periodicals, Inc. J Appl Polym Sci 86: 428–432, 2002     

Effects of the electrospray ionization parameters on the formation and morphology of colloidal microspheres of polyacrylonitrile

Polyacrylonitrile colloidal microspheres have been successfully prepared with different concentrations of electrospraying polyacrylonitrile solutions. The morphology of the colloidal spheres has two kinds of structures and is strongly affected by electrospray‐ionization parameters, such as the polymer concentration, applied voltage, and distance between the electrodes. The solvent can also affect the morphology of polyacrylonitrile. The optimum conditions for preparing colloidal spheres have been found, and differential scanning calorimetry results indicate that polyacrylonitrile colloid spheres are amorphous. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 102: 2889–2893, 2006     

渭河中下游水文变异点识别及生态保障流量计算

针对水文变异引发的基于水文统计学的生态保障流量分析方法在实践应用上存在的问题,提出通过水文变异点分析找出受环境变化影响的转折年,以该年份之前的水文序列计算生态系统需要的保障流量的思路,可有效避免因水文变异而导致的水文统计学方法失效问题。以渭河中下游为例,通过累积曲线法和Mann-Kendall(M-K)检验法对渭河干支流7个关键控制断面进行水文变异点识别,并以此为基础,应用改进Tennant法计算渭河中下游各控制断面的生态低限流量与适宜生态流量。该成果可作为渭河开展流域综合治理和生态保护的参考数据。     

Quantum immune clonal coevolutionary algorithm for dynamic multiobjective optimization

The existing algorithms to solve dynamic multiobjective optimization (DMO) problems generally have difficulties in non-uniformity, local optimality and non-convergence. Based on artificial immune system, quantum evolutionary computing and the strategy of co-evolution, a quantum immune clonal coevolutionary algorithm (QICCA) is proposed to solve DMO problems. The algorithm adopts entire cloning and evolves the theory of quantum to design a quantum updating operation, which improves the searching ability of the algorithm. Moreover, coevolutionary strategy is incorporated in global operation and coevolutionary competitive operation and coevolutionary cooperative operation are designed to improve the uniformity, the diversity and the convergence performance of the solutions. The results on test problems and performance metrics compared with ICADMO and DBM suggest that QICCA has obvious effectiveness and advantages which shows great capability of evolving convergent, diverse and uniformly distributed Pareto fronts.