基于安全生产双重属性的新常态下非煤矿山安全监管对策研究

为进一步提高经济新常态下我国非煤矿山安全生产监督管理水平,结合我国安全生产特有的经济属性和社会属性,分析了当前经济发展新常态下安全生产所面临的形势和机遇,查找分析了我国非煤矿山领域安全生产监督管理工作中存在的主要问题及其原因,从提高安全生产准入条件、强化安全执法、鼓励非煤矿山科技创新等方面提出了经济新常态下加强非煤矿山安全生产监督管理的对策措施,以期降低非煤矿山生产安全事故总量,减少人员伤亡,促进我国安全生产监督管理水平的整体提升。     

我国安全生产工作的体制、机制和自主创新的若干思考及建议

本文分析了安全生产工作的重要性和六个基本特点，总结了国内外安全生产的差距和面临的机遇与挑战，探讨了我国安全生产工作的体制、机制，并从专家的角度提出了一些战略性的建议。创新性地描述了由范围、对象、内容、目标和手段等组成的一个安全生产工作矩阵，并在此基础上探讨了安全科学技术与工程的发展思路与方法。从加强党和政府对安全生产工作领导迫切性的角度，扼要阐述了党和政府对安全生产工作领导的思考。     

加强安全生产基层基础工作的调查与思考

本文从安全生产基层基础工作入手,以湖北省为例,从安全监管机构设置不规范不健全、基层安全监管力量十分薄弱、安全投入和监管装备严重不足、基层安全监管队伍不稳定、安全生产政策法规体系不完善、安全生产工作机制不健全等六个方面分析了安全生产基层基础建设存在的突出问题。在此基础上,提出了实施"三三五五四"工程的建议,即:全面落实三个责任(企业主体责任、党委政府组织领导责任、相关部门职责);大力加强三项基本建设(基层安全监管机构建设、安全监管执法人员能力建设、安全监管基础设施及基本装备建设);进一步夯实五个基础(安全生产源头监管、企业安全生产标准化建设、安全生产隐患排查治理、职业病危害防治、基层安全生产网格化管理工程);建立健全五项激励约束机制(企业安全生产信用挂钩联动机制、安全生产激励机制、安全监管执法岗位特殊津贴制度、企业安全生产绩效工资制度、安全生产行政问责制);建立健全四个保障体系(投入保障体系、法制保障体系、宣教保障体系、科技支撑体系)。     

国家矿井安全生产监管物联网应用示范工程总体设计研究

国家矿井安全生产监管物联网应用示范工程是由国家发展和改革委员会支持、国家安全生产监督管理总局牵头组织,以神华集团有限责任公司、中国中煤能源集团有限公司为具体试点单位的国家级示范工程建设项目,旨在利用物联网技术提高煤矿安全生产预测预警和事故风险防控水平,促进物联网技术在煤矿安全生产领域的推广应用和产业发展,是坚持科学发展安全发展、落实科技兴安战略的重要举措。本文探讨了国家矿井安全生产监管物联网应用示范工程建设的必要性和意义,主要介绍了示范工程建设目标、总体实施方案、总体技术方案和实施技术路线等。     

Expert system application for prioritizing preventive actions for shift work: shift expert

Introduction. Shift patterns, work hours, work arrangements and worker motivations have increasingly become key factors for job performance. The main objective of this article is to design an expert system that identifies the negative effects of shift work and prioritizes mitigation efforts according to their importance in preventing these negative effects. The proposed expert system will be referred to as the shift expert. Methods. A thorough literature review is conducted to determine the effects of shift work on workers. Our work indicates that shift work is linked to demographic variables, sleepiness and fatigue, health and well-being, and social and domestic conditions. These parameters constitute the sections of a questionnaire designed to focus on 26 important issues related to shift work. The shift expert is then constructed to provide prevention advice at the individual and organizational levels, and it prioritizes this advice using a fuzzy analytic hierarchy process model, which considers comparison matrices provided by users during the prioritization process. An empirical study of 61 workers working on three rotating shifts is performed. After administering the questionnaires, the collected data are analyzed statistically, and then the shift expert produces individual and organizational recommendations for these workers.     

Driver’s mental workload prediction model based on physiological indices

Developing an early warning model to predict the driver’s mental workload (MWL) is critical and helpful, especially for new or less experienced drivers. The present study aims to investigate the correlation between new drivers’ MWL and their work performance, regarding the number of errors. Additionally, the group method of data handling is used to establish the driver’s MWL predictive model based on subjective rating (NASA task load index [NASA-TLX]) and six physiological indices. The results indicate that the NASA-TLX and the number of errors are positively correlated, and the predictive model shows the validity of the proposed model with an R² value of 0.745. The proposed model is expected to provide a reference value for the new drivers of their MWL by providing the physiological indices, and the driving lesson plans can be proposed to sustain an appropriate MWL as well as improve the driver’s work performance.     

Interactive mechanism of working environments and construction behaviors with cognitive work analysis: an elevator installation case study

Unsafe behavior is a leading factor in accidents, and the working environment significantly affects behaviors. However, few studies have focused on detailed mechanisms for addressing unsafe behaviors resulting from environmental constraints. This study aims to delineate these mechanisms using cognitive work analysis (CWA) for an elevator installation case study. Elevator installation was selected for study because it involves operations at heights: falls from heights remain a major cause of construction worker mortality. This study adopts a mixed research approach based on three research methodology stages. This research deconstructs the details of the working environment, the workers’ decision-making processes, the strategies chosen given environmental conditions and the conceptual model for workers’ behaviors, which jointly depict environment–behavior mechanisms at length. By applying CWA to the construction industry, environmental constraints can easily be identified, and targeted engineering suggestions can be generated.     

露天矿山隐伏盲空区精确探测及爆破优化设计

隐伏盲空区是严重威胁露天矿山正常采矿作业的安全隐患,应予以探明并处置。针对露天矿隐伏盲空区探测难度大、崩落处置爆破设计精度差等问题,以白马铁矿1号溜井盲空区为例,首先基于矿山历史资料,利用钻探手段,初步圈定盲空区异常分布范围;然后运用钻孔激光扫描设备进行三维精确扫描,获得盲空区塌腔三维形态和真实边界,并以实测数据为基础,利用逆向建模方法,构建盲空区三维可视化模型;最后根据盲空区的三维空间特征和分布条件,进行爆破分区及参数优化设计。结果表明:采用钻探圈定结合三维激光精确扫描建模的综合探测方法,可获得露天矿山盲空区的可靠信息,准确掌握盲空区垮塌现状,进而为制定更为精准的爆破设计方案提供重要依据,最终达到消除盲空区的目的。研究结果对保障矿山安全生产具有重要意义,同时可为类似工程提供有益参考。     

基于煤矿安全生产标准化的双控机制APP系统研究

针对我国煤矿安全生产标准化工作中数据采集的时效性差、数据录入工作量繁琐、数据汇总分析不明确的问题,利用易安卓编程语言与SQLite数据库技术,采用瀑布生命周期模型的软件开发方法,以《煤矿安全生产标准化考核定级办法》中双控机制的基本内容为依据,设计包括个人信息管理、法律知识库检索、安全风险分级管控、事故隐患排查治理、数据可视化分析、其他6大功能模块的APP系统。结果表明:该系统可提供适合相关管理人员使用的可视化界面,减少了复杂繁琐的工作量,为标准化工作的定点巡检与数据的完整性提供了良好的技术支持,也为非煤矿山、冶金、石油化工等行业的标准化工作实现信息化管理提供了较好的应用模式。     

On the subjective experience and correlates of downtime at work: A mixed‐method examination

In the current paper, we studied downtime at work. Downtime represents a unique aspect of work time, as employees have low workload and more discretion about their activities but are still paid to be at work. Despite its prevalence and potentially significant implications for productivity and well‐being, the experience of downtime has not been a focus in the literature. To study this phenomenon, we first used a qualitative method involving 15 focus groups. Results from 95 employees showed that downtime is distinct from formal breaks and withdrawal behavior and is generally a negative subjective experience. Categories of antecedents of experience and downtime activities were classified. Next, to further explore the phenomenon, and based on Study 1 and relevant literature, we proposed several hypotheses and tested them using an experience sampling method. Results from 86 employees (across 5 workdays and 689 data points) indicated that the amount of downtime was negatively related to day level job satisfaction, job performance, and subjective health. The duration of relaxation activities during downtime mitigated the negative effects of downtime on fatigue. The effects of enjoyment level of the activities, job autonomy, work engagement, and boredom proneness were also examined. Implications, limitations, and future research are discussed.