城市重大事故可持续应急的过程性特征研究

对城市重大事故应急的安全学内涵进行了研究,提出了城市重大事故可持续应急的概念.提出对于某个城市特定事故的应急响应过程,应该符合自组织规律,运用自组织理论建立了城市重大事故应急的可持续性模型.研究表明,城市重大事故应急的发展过程,按照其内部应急资源的响应速度,可以分为预防、预备、响应和恢复4个阶段,在理论上丰富了应急的内涵.同时指出了提高城市重大事故应急系统效能的途径.     

舰载环境振动摇摆特性测试分析

目的研究舰船在不同航行状态、不同海况下的振动和摇摆响应特性。方法在舰船特征位置布设加速度传感器和倾角传感器,利用数据采集与分析系统对海上航行状态下舰船的振动加速度和摇摆角度信号进行数据采集和信号分析。结果海上测试获取了大量实测数据,通过数据分析得到了某型舰船的振动和摇摆特性。结论对舰船在一定条件下的典型振动特性和摇摆特性有了初步认识,为舰载环境条件的参数积累和武器系统在舰载环境下的适应性及可靠性研究提供了重要的参考和依据。     

Resetting relationship trajectories: A reconceptualization of the relationship repair process

Negative events within and outside of work can disrupt coworkers' relationships, triggering a re-evaluation of relationship quality. The subjective experience of these events – which we term relationship threats – harms relationships, resulting in long-lasting negative interpersonal and organizational consequences. Coworkers' responses to a relationship threat determine whether relationships are repaired or whether the threat leads to a loss of commitment, lowered satisfaction, and increased negative affect. Because of the critical role that relationships play in organizational life, it is vital that we have a comprehensive understanding of the repair process. To date, researchers have focused on one of three repair processes: trust repair. In reconceptualizing relationship repair, we flesh out the remaining two processes: relationship work and sensemaking. Our reconceptualization balances the restorative actions that mitigate in-the-moment harm with those that sustain these benefits over time. We expand our understanding of relationship repair by highlighting the role that narrative foundations play in determining a relationships' vulnerabilities and determining effective repair processes. We highlight the importance of considering relationship threats as events embedded within a relationship's history; identify narrative foundations as a bridging mechanism between disrupted relationships and their repair; and expand our conceptualization of the processes that repair relationships.     

机械加工工艺危险性控制研究

机械安全是制造业赖以生存和发展的基础,涉及到国民经济各个部门和人民的安全与健康。为了有效地控制机械加工工艺的危险性,防止机械事故发生,减少人员伤亡和财产损失,运用事故统计方法,对我国机械加工行业各类生产事故进行统计分析,从不同伤害形式的角度出发,将机械伤害事故类型从绞伤、碾压伤害、夹挤伤害等方面进行研究,重点以锻工、车工、铣工、钳工等11种常见加工工艺为研究对象,分析其操作过程中发生的事故原因和事故类型,得出我国机械加工行业事故发生规律和各加工工艺危险性的大小。与以往机械伤害事故类型统计不同,本文将机械伤害从不同工种和不同伤害形式进行分类统计,更能体现机械加工事故伤害特点,对加强我国机械加工行业的安全生产管理有一定的参考意义。     

山谷污染物扩散过程CFD并行计算方法的研究

以WINDOWS2000操作系统和通用CFD软件FLUENT为基础,研究构建了不同的并行计算硬件平台的方法,计算了典型的山谷污染物扩散过程的湍流流场。通过对SMP、MMP两种并行处理方法的分析,研究了并行计算方法的优缺点。结果表明：尽管MMP平台比务件相当的SMP平台并行计算效率偏低,但具有相当高的效费比,在环境、污染相关问题的CFD计算中极具应用前景。     

微波功率放大组件加速贮存数据处理及寿命评估

目的 以微波功率放大组件为研究对象,开展加速贮存试验退化数据的处理、建模、分析,给出组件的贮存期评估值和激活能等贮存特征参数。方法 在已完成微波功率放大组件加速贮存试验的基础上,借鉴已有的数据建模及处理方法,开展加速贮存数据处理及寿命评估,应用多种退化轨迹拟合寻优、基于性能退化模型参数折算建模、多种寿命分布建模及拟合优度检验等技术,对贮存数据进行分析处理。结果 给出了微波功率放大组件退化轨迹模型、寿命分布模型、加速因子、激活能等贮存特征参数和可靠寿命评估值。结论 描述的加速贮存试验数据处理方法,适应性好,具有较高的优良性,可为类似具有退化数据的电子设备提供借鉴。     

基于灰色关联分析的变压器油池火灭火有效性评估

为对比不同灭火系统扑灭变压器油池火灾有效性,提升变压器油池火灭火效能,从效能评估工具、灭火临界参数、行业法规中提取并确定变压器油池火灭火有效性评估指标集,包括3个观测变量,6个具体指标。采用Otsu’s算法处理火灾图像确定火焰面积,通过层次分析法确定各观测变量和具体指标权重,应用灰色关联法构建变压器油池灭火有效性评估模型。以水喷雾、细水雾、泡沫-水喷雾以及泡沫-细水雾扑灭变压器油池火为例,分别计算4种不同灭火系统下的灭火有效性。研究结果表明：灭火方案有效性为泡沫细水雾(1.000)>纯水细水雾(0.653)>泡沫水喷雾(0.447)>纯水水喷雾(0.333)。该评估模型可以将消防监测终端采集的消防大数据与人工智能技术有效结合,有助于提升变压器消防安全管理智能化水平。     

选矿尾矿综合利用和零排放的研究与生产实践

对南京栖霞山锌阳矿业有限公司铅锌矿选矿尾矿的处理与利用进行了研究 ,找到了一条解决选矿尾矿问题的最佳方案 :对尾矿进行分级处理 ,粗粒尾矿代替水砂用于井下充填打坝 ,细粒尾矿用于井下胶结充填 ,部分全尾矿浓缩脱水后用作水泥辅料 ,从而实现了尾矿固体废物的零排放。该方案已成功应用于生产实践 ,产生了明显环境与经济效益     

宠物食品加工废水处理工程实例

介绍了水解 接触氧化 气浮工艺在宠物食品加工废水中的应用。实践表明 ,在进水CODCr、BOD5和SS分别为 2 5 0 0mg/L、1 6 0 0mg/L和 2 5 0mg/L的情况下 ,出水的CODCr、BOD5和SS分别为 70mg/L、1 5mg/L和 4 0mg/L ,达到了《污水综合排放标准》(GB8978 96 )一级标准。经过 1年半的运行表明 ,该工艺具有运行稳定性好、处理效率高、操作管理方便的优点。     

Integration of data analytics with cloud services for safer process systems,application examples and implementation challenges

Emerging sensors, computers, network technologies, and connected platforms result potentially in an immeasurable collection of data within plant operations. This creates the possibility of solving problems innovatively. Because most of the data appear to be unstructured or semi-structured, organizations shall design and adopt new strategies. Further, workflow architectures with data analytics are needed including machine learning tools and artificial intelligence techniques before proto-type solutions can be developed. We shall discuss several prospects of using (big) data analytics integrated with cloud services to produce solutions for improving plant operations. The paper outlines the vision and a systematic framework highlighting the data analytics lifecycle in the area of plant operation, process safety, and environmental protection. Four rather diverse example case studies are demonstrated including (1) deep learning-based predictive maintenance monitoring modeling, (2) Natural Language Processing (NLP) for mining text, (3) barrier assessment for dynamic risk mapping (DRA), and (4) correlation development for sustainability indicators. It further discusses the challenges in both research and implementation of proposed solutions in the industry. It is concluded that a well-balanced integrated approach including machine supporting decisions integrated with expert knowledge and available information from various key resources is required to enable more informed policy, strategic, and operational risk decision-making leading to safer, reliable and more efficient operations.