集成DEMATEL-ISM的古建筑火灾致因因素评价

为深入了解古建筑火灾事故致因因素,提高古建筑消防安全管理水平,基于事故致因理论,采用德尔菲法从人员、古建筑消防系统、古建筑防火能力、安全管理与环境五个方面确定18个古建筑火灾致因因素,并建立古建筑火灾事故评价指标体系。同时运用实验室决策分析法(DEMATEL)构建矩阵对古建筑火灾致因因素进行分析。一方面,通过原因度定量结果对古建筑火灾致因因素的属性进行分类,确定其属于火灾原因因素还是结果因素;另一方面,通过中心度指标评价古建筑火灾各个致因因素的重要程度。进而利用解释结构模型(ISM)将致因因素进行层级划分,构建5层3阶的多级递阶模型,分析致因因素间的耦合和交互关系。结果表明,古建筑火灾事故的发生是近邻原因、过渡原因及本质原因共同作用的结果,并针对这三方面确定古建筑火灾事故重点管控方向。同时,在古建筑消防安全管理中,应重点关注中心度较大的致因因素。     

Cybersecurity and dynamic operation in practice: Equipment impacts and safety guarantees

Though dynamic operation of chemical processes has been extensively explored theoretically in contexts such as economic model predictive control or even considering the potential for cyberattacks on control systems creating non-standard operating policies, important practical questions remain regarding dynamic operation. In this work, we look at two of these with particular relevance to process safety: (1) evaluating dynamic operating policies with respect to process equipment fidelity and (2) evaluating procedures for determining the parameters of an advanced control law that can promote both dynamic operation as well as safety if appropriately designed. Regarding the first topic, we utilize computational fluid dynamics and finite element analysis simulations to analyze how cyberattacks on control systems could impact a metric for stress in equipment (maximum Von Mises stress) over time. Subsequently, we develop reduced-order models showing how both a process variable and maximum Von Mises stress vary over time in response to temperature variations at the boundary of the equipment, to use in evaluating how advanced control frameworks might impact and consider the stress. We close by investigating options for obtaining parameters of an economic model predictive control design that would need to meet a variety of theoretical requirements for safety guarantees to hold. This provides insights on practical safety aspects of control theory, and also indicates relationships between control and design from a safety perspective that highlight further relationships between design and control under dynamic operation to deepen perspectives from the computational fluid dynamics and finite element analysis discussions.     

Structural equation model of the influence of noise annoyance on miners’ unsafe behavior in coal mines

Miners' unsafe behavior (UB) is the main cause of coal mine accidents. Previous research has suggested that excessive noise in tunnels impacts miners' temperaments and safe production behavior. To explore the influence of noise on UB, four different dimensions of noise annoyance were identified: cognitive, emotional, communication, and physical mechanism annoyance. The coal mine noise annoyance scale, miners' unsafe behavior intention (UBI) scale, and miners’ UB scale were developed according to different dimensions. In the first survey, a total of 200 questionnaires were distributed in the two coal mines, and 193 valid questionnaires were recovered. Exploratory factor analysis was conducted, and invalid items were removed according to the analysis results to form the final scale. Then, 500 final scales were distributed in two Chinese coal mines, and 482 valid questionnaires were collected. Confirmatory factor analysis was conducted by collating the data of the second questionnaire. Based upon the structural equation model (SEM), the SEM of the influence of noise annoyance degree on UB and the path analysis with latent variable path analysis with the latent variables (PA-LVs) mediating model of the effect of UBI on UB were established, and the path coefficients with fitting data of the model were analyzed. The results indicated that the four dimensions of coal mine noise annoyance had a strong positive impact on UB, which was reduced by less noise annoyance. In addition, the Bootstrap method was used to verify the mediating method among the four dimensions of noise annoyance, cognitive annoyance, emotional annoyance, with communication annoyance indirectly affecting UB through UBI. The research results provide theoretical support for reducing the UB of miners and improving coal mine safety levels.     

Risk assessment of safety level in university laboratories using questionnaire and Bayesian network

Accidents in university laboratories not only create a great threat to students’ safety but bring significant negative social impact. This paper investigates the university laboratory safety in China using questionnaire and Bayesian network (BN) analysis. Sixteen influencing factors for building the Bayesian net were firstly identified. A questionnaire was distributed to graduate students at 60 universities in China to acquire the probability of safe/unsafe conditions for sixteen influencing factors, based on which the conditional probability of four key factors (human, equipment and material, environment, and management) was calculated using the fuzzy triangular theory and expert judgment. The determined conditional probability was used to develop a Bayesian network model for the risk analysis of university laboratory safety and identification of the main reasons behind the accidents. Questionnaire results showed that management problems are prominent due to insufficient safety education training and weak management level of management personnel. The calculated unsafe state probability was found to be 65.2%. In the BN analysis, the human factor was found to play the most important role, followed by equipment and material factor. Sensitive and inferential analysis showed that the most sensitive factors are personnel incorrect operation, illegal operation, and experiment equipment failure. Based on the analysis, countermeasures were proposed to improve the safe management and operation of university laboratories.     

稻田土壤砷、镉复合污染阻控技术研究进展

砷（As）和镉（Cd）是稻田土壤中最常见的有毒有害重金属元素,且易从土壤迁移到水稻籽粒中.目前,我国稻田土壤中As和Cd及其复合污染现象普遍,对粮食安全和人体健康均构成了严重威胁.As和Cd在土壤中的环境行为相反,对As-Cd复合污染的同步治理是当前水稻安全生产的关键技术难点.通过综述近年来同步阻控水稻对As和Cd吸收以及转运的若干实用技术,包括水分管理、钝化技术、淋洗技术、电动修复技术、植物修复技术、低累积水稻品种的选取以及叶面阻控技术,归纳并分析了各种技术的处理效果、作用机制和制约因素,提出了主要阻控技术的发展方向,指出构建区域高适配性综合技术模式的重要性,以期为稻田As-Cd复合污染治理和水稻安全生产提供参考.     

面向2035的节能与新能源汽车全生命周期碳排放预测评价

发展节能与新能源汽车是降低交通运输行业碳排放的重要技术路径.为量化预测节能与新能源汽车的全生命周期碳排放,利用全生命周期评价方法,以汽车相关技术路线和政策为参考,选取燃油经济性、整车轻量化水平、电力结构碳排放因子和氢能碳排放因子为关键参数,构建传统燃油汽车(ICEV)、轻度混合动力汽车(MHEV)、重度混合动力汽车(HEV)、纯电动汽车(BEV)和燃料电池汽车(FCV)的数据清单并对其全生命周期碳排放进行量化预测评价,对电力结构碳排放因子和不同制氢方式碳排放因子进行了敏感性分析和讨论.结果发现,2022年ICEV、 MHEV、 HEV、 BEV和FCV的全生命周期碳排放量(以CO₂-eq计)分别为208.0、 195.5、 150.0、 113.5和205.0 g·km^-1.到2035年,BEV和FCV相比于ICEV具有较为显著的减碳效益,分别降低69.1%和49.3%.电力结构的碳排放因子对BEV的全生命周期碳排放的影响最显著.关于燃料电池汽车的不同制氢方式,短期应以工业副产氢提纯为主供应FCV氢能需求,长期以可再生能源电解水制氢和化石能源...     

Biological methane production coupled with sulfur oxidation in a microbial electrosynthesis system without organic substrates

Methane is produced in a microbial electrosynthesis system (MES) without organic substrates. However, a relatively high applied voltage is required for the bioelectrical reactions. In this study, we demonstrated that electrotrophic methane production at the biocathode was achieved even at a very low voltage of 0.1 V in an MES, in which abiotic HS⁻ oxidized to SO₄²⁻ at the anodic carbon-cloth surface coated with platinum powder. In addition, microbial community analysis revealed the most probable pathway for methane production from electrons. First, electrotrophic H₂ was produced by syntrophic bacteria, such as Syntrophorhabdus, Syntrophobacter, Syntrophus, Leptolinea, and Aminicenantales, with the direct acceptance of electrons at the biocathode. Subsequently, most of the produced H₂ was converted to acetate by homoacetogens, such as Clostridium and Spirochaeta 2. In conclusion, the majority of the methane was indirectly produced by a large population of acetoclastic methanogens, namely Methanosaeta, via acetate. Further, hydrogenotrophic methanogens, including Methanobacterium and Methanolinea, produced methane via H₂.     

城市电力供应系统公共安全风险评估体系及应用

城市电力供应系统与城市公共安全关系紧密，文章分析了导致城市电力供应系统故障或事故的主要风险因素、事故类型及其风险程度，建立了城市电力供应系统公共安全风险评估体系。利用建立的风险评估体系，对某市电力供应系统的安全性进行了风险评估，同时验证了该体系在城市电力供应系统风险评估中的良好适用性。     

氨法脱硫生产氨肥的清洁生产研究

我国因燃煤导致的SO2污染危害十分严重。从清洁生产角度出发,通过比较锅炉烟气脱硫各种方法的优缺点,确定氨法脱硫作为化工企业处理锅炉烟气的工艺。介绍了氨法脱硫机理,工艺各系统结构组成,进行了经济及社会效益分析。氨法脱硫工艺可以去除93％的SO2,处理后的烟气达到了国家排放标准,脱硫副产品硫酸铵可以转交给同区域的企业,深加工为优质化肥。说明发展清洁生产和循环经济是企业预防和控制污染的有效途径,是实现可持续发展战略的必然选择,有利于企业技术进步,提高管理水平,增强综合竞争能力。     

Economic and environmental value stream map (E2VSM) simulation for multi-product manufacturing systems

Value stream mapping (VSM) is a well-accepted tool within lean manufacturing concept which is often used for analysing and designing the flow of materials and information required to manufacture a product. However, the analysis is static and single product oriented, which fails to cope with either the variation of production plan or a multi-product environment. In addition, the environmental impact of a manufacturing system is highly associated with the dynamic consumption of energy and resources. Despite the recent integration of VSM with simulation or environmental studies (in the domain of energy efficiency), still neglected is the dynamic assessment of all the resources involved in a multi-product production environment. This paper presents a methodology for modelling multi-product manufacturing systems with dynamic material, energy and information flows with the aim to generate economic and environmental value stream maps (E²VSM). The proposed methodology is validated with an industrial case.