Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks

A sequencing batch reactor was modeled using multi-layer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). Then, the effects of influent concentration (IC), filling time (FT), reaction time (RT), aeration intensity (AI), SRT and MLVSS concentration were examined on the effluent concentrations of TSS, TP, COD and NH₄⁺-N. The results showed that the optimal removal efficiencies would be obtained at FT of 1 h, RT of 6 h, aeration intensity of 0.88 m³/min and SRT of 30 days. In addition, COD and TSS removal efficiencies decreased and TP and NH₄⁺-N removal efficiencies did not change significantly with increases of influent concentration. The TSS, TP, COD and NH₄⁺-N removal efficiencies were 86%, 79%, 94% and 93%, respectively. The training procedures of all contaminants were highly collaborated for both RBFANN and MLPANN models. The results of training and testing data sets showed an almost perfect match between the experimental and the simulated effluent of TSS, TP, COD and NH₄⁺-N. The results indicated that with low experimental values of input data to train ANNs the MLPANN models compared to RBFANN models are more precise due to their higher coefficient of determination (R²) and lower root mean squared errors (RMSE) values.     

基于BIM的装配式建筑并行施工作业空间冲突识别

为识别装配式建筑施工并行作业之间的空间冲突，分析装配式建筑施工项目现场各类作业空间占用需求，利用BIM技术模拟作业空间占用，引入混合轴向包围盒（AABB）与有向包围盒（OBB）算法，建立施工现场并行作业空间冲突检测模型。结果表明:所建立的模型可有效预测施工现场并行作业之间的空间冲突，为进一步的空间资源优化与项目安全管理提供支撑。     

Effect of working time on environmental pressures: empirical evidence from EU-15, 1970–2010

There is growing interest in the correlation between working time and environmental pressures, but prior empirical studies mostly focused on static methodologies. This article used dynamic panel regression approaches to examine and compare the relationship among western, southern, and northern European countries over the period 1970–2010, and proved the existence of strongly significant relationships in all models. Furthermore, this article detected the relationship between working hours and environmental indicators (carbon emission and energy use) at different phases. We contribute to a further understanding of the environmental effects of the working time reduction policy by comparing the differences among various periods and country groups in a system generalized method of moments (GMM) dynamic framework.     

密封充氢环境条件下固态电化学氢气传感器效应试验研究

目的研究密闭充氢环境下固态电化学氢气传感器效应。方法设计能模拟低氧、低氢和压力变化的密闭充氢环境,并在此环境中进行一系列氢气传感器效应试验,分析、评定试验数据。结果得到了不同环境下氢气、氧气浓度随时间变化的规律,提出固态电化学氢气传感器的有效工作环境,并预测了其在不同贮存环境下的工作寿命。结论密闭充氢环境内压力和温度的变化对固态电化学氢气传感器影响较大,湿度影响较小,注气检定合格的氢气传感器,在密封容器内扩散式检定,不合格率高,检定数据误差大于±5%FS。     

回采工作面瓦斯涌出量遗传投影寻踪回归预测

为快速、准确预测回采工作面瓦斯涌出量,基于投影降维思想,建立一种遗传算法(GA)投影寻踪回归预测方法。选取煤层瓦斯原始含量、埋藏深度、煤层厚度、煤层倾角、工作面长度、推进速度、采出率、临近层瓦斯含量、临近层厚度、临近层层间距、岩层岩性、开采深度作为评价因子,对某矿15个学习样本进行训练,建立GA投影寻踪回归预测模型。利用该矿3个实测样本对模型进行检验,并与主成分分析和BP神经网络方法结果进行对比。研究表明:利用GA投影寻踪回归预测回采工作面瓦斯涌出量,平均误差为3.43%,最大误差为5.7%,精度优于其他2种方法。     

基于探采对比的煤层瓦斯含量分析及预测

针对新建矿井地勘瓦斯含量测值偏低和井下实测瓦斯含量较少的特点,结合工程和科研实践,提出了利用大量的工作面瓦斯涌出量反演煤层原始瓦斯含量技术和基于探采对比的煤层瓦斯含量预测方法。以邹庄井田32煤层为研究对象,在考虑瓦斯抽采情况下计算3204工作面瓦斯涌出量,并反演该工作面煤层原始瓦斯含量。通过对比采掘过程中获得的瓦斯含量和地勘瓦斯含量,得到不同钻孔深度时的地勘瓦斯含量修正系数,并采用瓦斯地质研究方法对32煤层分3个单元进行瓦斯含量预测。结果表明:32煤层瓦斯含量整体呈现"东部大于西部,北部大于南部"的规律,与临近矿井具有相似的瓦斯赋存规律。这表明利用探采对比的方法预测煤层瓦斯含量是可靠的。     

A hybrid decision-making approach based on FCM and MOORA for occupational health and safety risk analysis

IntroductionWith the development of industries and increased diversity of their associated hazards, the importance of identifying these hazards and controlling the Occupational Health and Safety (OHS) risks has also dramatically augmented. Currently, there is a serious need for a risk management system to identify and prioritize risks with the aim of providing corrective/preventive measures to minimize the negative consequences of OHS risks. In fact, this system can help the protection of employees’ health and reduction of organizational costs. Method: The present study proposes a hybrid decision-making approach based on the Failure Mode and Effect Analysis (FMEA), Fuzzy Cognitive Map (FCM), and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) for assessing and prioritizing OHS risks. After identifying the risks and determining the values of the risk assessment criteria via the FMEA technique, the attempt is made to determine the weights of criteria based on their causal relationships through FCM and the hybrid learning algorithm. Then, the risk prioritization is carried out using the MOORA method based on the decision matrix (the output of the FMEA) and the weights of the criteria (the output of the FCM). Results: The results from the implementation of the proposed approach in a manufacturing company reveal that the score at issue can overcome some of the drawbacks of the traditional Risk Priority Number (RPN) in the conventional FMEA, including lack of assignment the different relative importance to the assessment criteria, inability to take into account other important management criteria, lack of consideration of causal relationships among criteria, and high dependence of the prioritization on the experts’ opinions, which finally provides a full and distinct risk prioritization.     

煤巷掘进过程中粉尘浓度影响因素分析

为了掌握煤巷掘进过程中粉尘浓度变化的影响因素,根据气固两相流理论,针对矿井掘进工作面的特点,采用计算流体力学的离散相模型（DPM）考察了掘进巷道风速、风筒直径、风筒出风口到掘进工作面距离以及风筒的悬挂高度对粉尘浓度变化的影响。结果发现：当掘进巷道风速为0.25-4 m/s时,提高巷道内的通风风速,可以降低巷道内的粉尘浓度,缩短呼吸性粉尘浓度达到稳定的时间,减小工作面粉尘的危害;有利于通风除尘的风筒相关参数为风筒直径0.4-0.6 m、风筒出风口到掘进工作面距离6-7 m、风筒悬挂高度2.0-2.2 m。     

秦皇岛市城镇水土保持工作主要做法及成效分析

随着城镇建设的迅猛发展,项目开发建设占用大量具有生态功能的地表,人为造成的水土流失日趋严重,因此做好城镇水土保持工作至关重要。秦皇岛市从2004年起通过制定规划、建立工作体系、强化预防监督、加强宣传等措施,水土保持工作取得了显著成效:提高了全民水保法制观念,规范了城镇建设项目管理工作,城郊水土流失治理度达90%以上,城区碧水工程已基本完成,实施了城市雨水资源利用试点工程,城市区人均绿地面积达到12 m2,森林覆盖率达40%以上。     

唐山排污权交易模式浅析

对开展排污权交易的目的、意义、关键因素进行了分析,对唐山排污权交易的工作进程以及交易指标、交易主体、交易程序、指导价格、申购数量、交易范围、优先及限制条件等模式特点进行了阐述,以期为同类型城市开展排污权交易提供参考。