锅炉房工艺设计中确定煤场面积的一种方法

本文以管理科学的库存理论为基础，以提高经济效益为目的，提出了一种全新的锅炉房煤场面积确定方法。     

基于AGA-BP神经网络的采空区危险性评价

针对采空区危险性评价的影响因素众多且关系复杂的特点,提出了基于AGA-BP神经网络算法评价采空区危险性。将岩体结构、地质构造、岩石抗压强度等13个影响因子作为神经网络输入,采空区危险性等级作为输出,建立一个采空区危险性评价的BP神经网络模型;采用自适应遗传算法(AGA)对BP网络的初始权值和阈值进行全局寻优,将寻优结果回代入网络中进行训练并预测得出采空区危险性等级;利用其它智能算法与该预测结果做出比较,以验证AGA-BP算法的有效性及优越性。结果表明:该算法的优化效果明显,同时在训练时间与预测精度上较其它智能算法有突出的优势,是一种在采空区危险性评价方面值得推广的新方法。     

防护鞋靴有害物质限量值研究

本文对防护鞋靴有害物质限量值研究进行了阐述。参考国内外标准,设定防护鞋靴有害物质限制项目和限量值。在检测分析我国具有市场代表性的16个防护鞋靴产品中有害物质含量数据基础上,判断设定限制项目及限量值的可行性。检测结果表明我国防护鞋靴生产技术水平基本能够达到限量要求,设定的限量值可以作为制定国家标准的参考依据。     

性能化设计标准在火灾安全设计中的应用

随着建筑向着高层化、大型化的趋势发展,目前世界上许多国家的建筑设计正逐步地从处方式规范转换到性能化规范.性能化规范的成功实施需要建立性能化设计标准.在建筑火灾安全设计中,使用的性能化设计标准包括确定性设计标准和偶然性设计标准.确定性设计标准主要与火灾的发生、发展和蔓延等级,以及生命安全等级有关.偶然性设计标准主要关心火灾发生的可能性及产生的后果.文章最后对性能化设计标准的应用情况进行了讨论和总结.     

电磁屏蔽针织服装屏蔽作用的影响因素及机理

本文简述了电磁辐射的危害,论述了电磁屏蔽服装的一般原理。结合前人的研究,针对针织服装特点详细分析了织物厚度、线圈长度、针织组织、服装结构设计等对屏蔽作用的影响规律及机理。最后,提出织物组织结构参数与屏蔽纤维含量、屏蔽纤维之间孔隙的关系,屏蔽纤维含量与屏蔽纤维之间孔隙的合理配置是针织物电磁屏蔽效能研究的关键。同时,进行电磁屏蔽针织服装研究时可以结合人体模型并增加服装结构研究的切入点。     

Ignition and burning rates of segregated waste combustion in packed beds

Recent developments in national recycling and re-use programmes for municipal waste have led to segregation of an increasing proportion of waste to enhance material recovery. Several of the segregated streams contain materials that can not viably be re-used or recycled but can be used for energy recovery. In this study, the combustion of cardboard and waste wood was investigated in a small-scale packed bed reactor in order to provide fundamental data for the design/operation of moving bed furnaces. Key parameters of combustion including the ignition and burning rates were evaluated for various air flowrates and compared to the modelling results. Two successive stages of combustion were identified for both samples: the propagation of ignition front into the bed and combustion of the fuel above the ignition front. The burning rate of cardboard reached a peak of about 300 kg/m(2)h at the air flowrate of 936 kg/m(2)h and decreased at higher air flowrates. For waste wood, both the ignition and burning rates increased in the tested range of the air flowrate up to 702 kg/m(2)h, of which the values were very close to those for the cardboard. The model prediction was in good agreement with the test results for waste wood. However, the burning rate for cardboard was under-predicted due to strongly irregular shapes of the fuel.     

Inexact fuzzy-stochastic constraint-softened programming – A case study for waste management

In this study, an inexact fuzzy-stochastic constraint-softened programming method is developed for municipal solid waste (MSW) management under uncertainty. The developed method can deal with multiple uncertainties presented in terms of fuzzy sets, interval values and random variables. Moreover, a number of violation levels for the system constraints are allowed. This is realized through introduction of violation variables to soften system constraints, such that the model’s decision space can be expanded under demanding conditions. This can help generate a range of decision alternatives under various conditions, allowing in-depth analyses of tradeoffs among economic objective, satisfaction degree, and constraint-violation risk. The developed method is applied to a case study of planning a MSW management system. The uncertain and dynamic information can be incorporated within a multi-layer scenario tree; revised decisions are permitted in each time period based on the realized values of uncertain events. Solutions associated with different satisfaction degree levels have been generated, corresponding to different constraint-violation risks. They are useful for supporting decisions of waste flow allocation and system-capacity expansion within a multistage context.     

TiO2/ACF复合材料吸附-光催化降解甲醛的实验研究

甲醛作为对人类具有高致癌风险的有机污染物,对其工作场所的安全要求也越来越严格。其减少及脱除需要发展更加高效的技术手段。本文以甲醛为目标化合物,在自行设计的气相光催化反应器中,以254nm紫外灯作光源,研究其在TiOE／ACF复合材料上的吸附一光催化降解行为。探讨了甲醛的初始浓度,光照强度、空气湿度等对甲醛吸附一光催化降解效率的影响。初步探讨了甲醛的降解机理。结果表明：TiOE／ACF复合材料对甲醛具有极好的降解效果,较低浓度的甲醛,经2h光照,甲醛蒸气降解率达到99．9％（初始浓度为1．93mg／m^3）;甲醛降解率随空气湿度增加而明显增加,适当地水分加入有利于产生羟基活性自由基,促进催化降解反应。实验结果对降低污染区域工作人员的职业中毒风险有重要的意义。     

二次活化活性炭对饮用水中溴酸盐的去除

采用氯化锌对活性炭(AC)进行了二次活化,制得二次活化的活性炭(ZC - AC),对比了ZC - AC和AC对水中溴酸盐(BrO3-)的去除活性,并对ZC - AC的高活性进行了BET、SEM、XRD表征分析,同时考察了ZC - AC的稳定性及反应条件对ZC - AC去除BrO3-的影响.结果表明,ZC-AC对BrO3-的去除活性是AC的6.4倍;ZC - AC重复使用4次后,对BrO3-仍保持了89%的去除率;在BrO3-初始质量浓度为1 000μg/L时ZC- AC达到最大吸附容量,即每克ZC - AC处理8.23mg BrO3-;共存阴离子对ZC - AC去除BrO3-都有抑制作用,其抑制作用从大到小为SO42-、PO43-、NO3-、Cl-、F-、Br-,而含氧酸盐对去除BrO3-有明显的抑制作用,主要是含氧酸盐与BrO3-发生了表面活性位的竞争;溶液的pH值大于10会极大地抑制ZC - AC去除BrO3-.     

基于U-Net深度神经网络的早期火灾烟雾自动分割方法

在火灾事件监测中,为了减少数据处理量、加快探测速度,需要先分割出疑似烟雾区域。传统的烟雾分割算法大多需要设置阈值进行处理,算法的环境适应能力还需进一步提升。在研究中,使用U-Net结构的深度神经网络进行早期火灾烟雾的自动分割,通过半自动算法人工辅助分割出烟雾区域的图像样本,基于深度神经网络对分割烟雾区域进行学习,得到原始视频帧到分割结果的映射模型,并据此模型进行烟雾区域分割。在测试集上的分割实验结果表明该方法与传统方法相比,不需要设置阈值,自动化程度更高,分割速度极快,在疑似烟雾区域分割任务中性能较好。