基于大气退化物理模型恢复算法的露天矿车辆助驾技术

露天矿汽车运输是大型露天矿主要运输方式之一,是影响露天矿生产能力和经济效益的关键因素。本文分析了露天矿车辆运输事故原因,针对露天矿卡车运输道路环境特点与天气因素,通过安装于车体外的高清CCD摄像设备,来消除卡车盲区的安全隐患,并基于大气退化物理模型恢复算法,实现了在雨、雪、雾、灰尘等恶劣天气条件下的露天矿车辆运输道路环境探测影像增强技术,提高露天矿卡车司机的可视距离,降低事故发生率。本文的研究对于提高露天矿车辆运输安全,降低露天矿事故发生率具有重要意义,并以某大型露天煤矿为应用实例验证了其可行性。     

On-Scene Injury Severity Prediction (OSISP) Algorithm for Truck Occupants

Objective: The aim of this study is to develop an on-scene injury severity prediction (OSISP) algorithm for truck occupants using only accident characteristics that are feasible to assess at the scene of the accident. The purpose of developing this algorithm is to use it as a basis for a field triage tool used in traffic accidents involving trucks. In addition, the model can be valuable for recognizing important factors for improving triage protocols used in Sweden and possibly in other countries with similar traffic environments and prehospital procedures.

Methods: The scope is adult truck occupants involved in traffic accidents on Swedish public roads registered in the Swedish Traffic Accident Data Acquisition (STRADA) database for calendar years 2003 to 2013. STRADA contains information reported by the police and medical data on injured road users treated at emergency hospitals. Using data from STRADA, 2 OSISP multivariate logistic regression models for deriving the probability of severe injury (defined here as having an Injury Severity Score [ISS] > 15) were implemented for light and heavy trucks; that is, trucks with weight up to 3,500 kg and ??16,500 kg, respectively. A 10-fold cross-validation procedure was used to estimate the performance of the OSISP algorithm in terms of the area under the receiver operating characteristic curve (AUC).

Results: The rate of belt use was low, especially for heavy truck occupants. The OSISP models developed for light and heavy trucks achieved cross-validation AUC of 0.81 and 0.74, respectively. The AUC values obtained when the models were evaluated on all data without cross-validation were 0.87 for both light and heavy trucks. The difference in the AUC values with and without use of cross-validation indicates overfitting of the model, which may be a consequence of relatively small data sets. Belt use stands out as the most valuable predictor in both types of trucks; accident type and age are important predictors for light trucks.

Conclusions: The OSISP models achieve good discriminating capability for light truck occupants and a reasonable performance for heavy truck occupants. The prediction accuracy may be increased by acquiring more data. Belt use was the strongest predictor of severe injury for both light and heavy truck occupants. There is a need for behavior-based safety programs and/or other means to encourage truck occupants to always wear a seat belt.     

高速公路货车事故成因及货车专用道分析

为减少货车对行车安全的影响,在充分考虑货车行驶理论、交通环境和驾驶员特征的基础上,就载重货车交通对高速公路运营安全的影响进行研究。其结果表明,不同车型之间的运行速度差异、超载、驾驶员不良交通行为及纵向间距不足等是造成货车交通事故的主要原因。通过分析货车事故与交通状况的关系,从工程技术可行性等角度提出了货车专用道的设计方法,以有效执行客货分行,提高高速公路运营安全水平。     

基于Logistic的不同车型碰撞行人事故严重程度致因分析

为定量分析不同车型碰撞行人事故严重程度影响因素,以美国北卡罗来纳州2007-2016年人车碰撞事故数据为样本,将其分为小轿车、SUV、货车碰撞行人事故3类,以事故严重程度为因变量,交通参与者属性、道路、环境条件和事故特征为候选自变量,分别建立累计logistic模型进行对比分析,探究人、车、路和环境因素对人车碰撞事故严...     

煤矿瓦斯爆炸事故的防治对策

我国煤矿日趋严重的瓦斯爆炸事故灾害严重地威胁着矿井工作人员的生命安全，制约矿井生产的发展，给煤炭企业带来沉重的负担，从安全科学的角度及其事故原因分类出发，提出了防治我国煤矿瓦斯爆炸事故的对策。     

Exploratory analysis of Spanish energetic mining accidents

Using data on work accidents and annual mining statistics, the paper studies work-related accidents in the Spanish energetic mining sector in 1999-2008. The following 3 parameters are considered: age, experience and size of the mine (in number of workers) where the accident took place. The main objective of this paper is to show the relationship between different accident indicators: risk index (as an expression of the incidence), average duration index for the age and size of the mine variables (as a measure of the seriousness of an accident), and the gravity index for the various sizes of mines (which measures the seriousness of an accident, too). The conclusions of this study could be useful to develop suitable prevention policies that would contribute towards a decrease in work-related accidents in the Spanish energetic mining industry.     

Analysis of work related accidents in the Spanish mining sector from 1982-2006

Introduction

The rate for work related accidents in the Spanish mining sector is notably higher than in other countries such as the United States. It produces a very negative impact on the mining industry. This paper is the report of a study on serious and fatal accidents in Spanish mining from 1982-2006. It is based on the reports of 212 accidents (serious or fatal) carried out by the General Management of Energy and Mining of Catalonia (Spain). Method: The high work-related accident rate in the Spanish mining sector makes it necessary to carry out an analysis and research that can shed light on the causes of this high rate; this is the only way that a solution can be found. The study is based on Feyer and Williamson's analysis of accident causes, as they apply to 212 accidents. The types and causes of the accidents are coded according to the coding system used by the Spanish National Institute for Safety and Hygiene in the Workplace, which allows us to identify a series of direct causes and contributing factors in different accidents. Results If all the causes and factors that are present in the accidents are known, we are able to look for appropriate solutions to reduce them as much as possible. In short, we are able to come up with a series of conclusions that expose the weak links in the management of accident prevention in companies. This is helpful in the struggle to reduce work injuries in the Spanish mining sector.     

Off-road truck-related accidents in U.S. mines

IntroductionOff-road trucks are one of the major sources of equipment-related accidents in the U.S. mining industries. A systematic analysis of all off-road truck-related accidents, injuries, and illnesses, which are reported and published by the Mine Safety and Health Administration (MSHA), is expected to provide practical insights for identifying the accident patterns and trends in the available raw database. Therefore, appropriate safety management measures can be administered and implemented based on these accident patterns/trends.MethodsA hybrid clustering-classification methodology using K-means clustering and gene expression programming (GEP) is proposed for the analysis of severe and non-severe off-road truck-related injuries at U.S. mines. Using the GEP sub-model, a small subset of the 36 recorded attributes was found to be correlated to the severity level.ResultsGiven the set of specified attributes, the clustering sub-model was able to cluster the accident records into 5 distinct groups. For instance, the first cluster contained accidents related to minerals processing mills and coal preparation plants (91%). More than two-thirds of the victims in this cluster had less than 5 years of job experience. This cluster was associated with the highest percentage of severe injuries (22 severe accidents, 3.4%). Almost 50% of all accidents in this cluster occurred at stone operations. Similarly, the other four clusters were characterized to highlight important patterns that can be used to determine areas of focus for safety initiatives.ConclusionsThe identified clusters of accidents may play a vital role in the prevention of severe injuries in mining. Further research into the cluster attributes and identified patterns will be necessary to determine how these factors can be mitigated to reduce the risk of severe injuries.Practical applicationAnalyzing injury data using data mining techniques provides some insight into attributes that are associated with high accuracies for predicting injury severity.     

采场硫化矿石爆堆自燃危险性评价研究

在非煤矿山中,许多矿山因矿石含硫量高,在开采过程中经常发生矿石自燃火灾。因此,开展采场矿石自燃危险性评价意义重大。作者通过总结以往的评价方法,并在做了大量实验的基础上,建立了针对硫化矿石氧化自燃危险性的综合评价体系。首先,以“火灾、爆炸危险指数评价法”(DOW)为模型,根据影响硫化矿石自燃的因素分析,建立了针对硫化矿石自燃危险性的评价指数和等级。据此,结合新疆某矿的矿石自燃性开展评价。作者在评价过程中,考虑了该综合评价法在矿山生产中的实用性,评价方法中的各个影响因素都可以通过实验或者现场调查确定其应取的危险值,这种评价方法适用于所有的硫化矿山火灾危险性评价。     

Safety in the mining industry and the unfinished legacy of mining accidents: Safety levers and defense-in-depth for addressing mining hazards

Mining remains one of the most hazardous occupations worldwide and underground coal mines are especially notorious for their high accident rates. In this work, we provide an overview of the broad and multi-faceted topic of safety in the mining industry. After reviewing some statistics of mining accidents in the United States, we focus on one pervasive and deadly failure mode in mines, namely explosions. The repeated occurrence of mine explosions, often in similar manner, is the loud unfinished legacy of mining accidents and their occurrence in the 21st century is inexcusable and should constitute a strong call for action for all stakeholders in this industry to settle this problem. We analyze one such recent mine disaster in which deficiencies in various safety barriers failed to prevent the accident initiating event from occurring, then subsequent lines of defense failed to block this accident scenario from unfolding and to mitigate its consequences. We identify the technical, organizational, and regulatory deficiencies that failed to prevent the escalation of the mine hazards into an accident, and the accident into a “disaster”. This case study provides an opportunity to illustrate several concepts that help describe the phenomenology of accidents, such as initiating events, precursor or lead indicator, and accident pathogen. Next, we introduce the safety principle of defense-in-depth, which is the basis for regulations and risk-informed decisions by the US Nuclear Regulatory Commission, and we examine its relevance and applicability to the mining system in support of accident prevention and coordinating actions on all the safety levers, technical, organizational, and regulatory to improve mining safety. The mining system includes the physical confines and characteristics of the mine, the equipment in the mine, the individuals and the organization that operate the mine, as well as the processes and regulatory constraints under which the mine operates. We conclude this article with the proposition for the establishment of defense-in-depth as the guiding safety principle for the mining industry and we indicate possible benefits for adopting this structured hazard-centric system approach to mining safety.     

基于层次话题模型的煤矿安全事故致因要素研究

为促进安全发展,强化煤矿安全管理的科技支撑,在事故致因理论基础上,利用文本挖掘中的话题模型和创新性构建的层次致因要素话题模型,对我国2000—2015年发生的386起重特大煤矿事故调查报告进行了深入地挖掘、分析和研究。发现事故致因隐含的规律及各类事故之间的关联与共性,并进一步研究发现不同致因要素随时间的演化规律及致灾倾向,为煤矿安全管理找出重点,指导煤矿安全生产管理实践。     

An analysis of equipment-related fatal accidents in U.S. mining operations: 1995–2005

Despite significant reductions in mining fatalities, the number of these accidents remains high. Based on the number of fatalities per year, a persistent area of concern in mine safety continues to be equipment-related. The study was undertaken in order to more thoroughly characterize equipment-related mining fatalities and to perform an analysis of those that occurred over the last 11-years, from 1995 through 2005. Equipment-related fatalities obtained from the Mine Safety and Health Administration (MSHA) reports are used in this study. Results show that the proportion of total mine fatalities attributable to the equipment ranged from 37% to 88% per year. Among the MSHA equipment subcategories, the greatest proportion of fatalities is related to haul trucks (22.3%), belt conveyors (9.3%), front-end loaders (8.5%), and miscellaneous equipment (36.6%). The relationship between number of equipment-related fatalities and mining experience of the workforce was also examined. Study shows that workers with less than five years of appropriate mining experience constitute 44% of all fatalities that occurred during the period of 1995–2005.     

Blood on the coal: The effect of organizational size and differentiation on coal mine accidents

Introduction

Each year, there are at least 100,000,000 occupational accidents and 100,000 occupational deaths in the world. In the United States, one of the safest countries in the world in which to work, there were more than 5,400 workplace fatalities and 5.9 million workplace injuries in 2007. The cost to American industry and taxpayers is estimated to be at least $170 billion per year. Further, as illustrated by accidents such as Three Mile Island and Bhopal, industrial accidents potentially impact a much wider sphere than that of the injured worker and his or her employer. As the repercussions of organizational accidents reverberate through organizations and are felt from human resources to accounting, firms are beginning to incorporate messages of safety in their missions and strategies. As firms organize to achieve safer work environments, they are faced with decisions on how to structure their activities in terms of, among other things, size and differentiation.

Method

This paper explores the impact on accident rates of size and differentiation at the corporate and mine levels of mining companies in an effort to create a framework for thinking about organizational accidents from a structural perspective.

Results

The results suggest that larger mines are safer than smaller mines, and that mines with less task diversity are safer than mines with greater task diversity. The results also suggest that at the corporate level, task diversity decreases mine accidents. These results may help mining executives and engineers structure their corporate activities and individual mines more effectively to help reduce accidents.     

Heavy equipment and truck-related deaths on excavation work sites

PROBLEM: Contact with objects and equipment is the third leading cause of death in construction. This study examines heavy equipment- and truck-related deaths in the excavation work industry in construction. METHODS: The Bureau of Labor Statistics Census of Fatal Occupational Injuries identified 253 heavy equipment related deaths on construction sites in the Excavation Work industry for the years 1992-2002. RESULTS: Heavy equipment operators and construction laborers made up 63% of the heavy equipment- and truck-related deaths. Backhoes and trucks were involved in half the deaths. Rollovers were the main cause of death of heavy equipment operators. For workers on foot and maintenance workers, being struck by heavy equipment or trucks (especially while backing up for workers on foot), and being struck by equipment loads or parts were the major causes of death. DISCUSSION: Ensuring adequate rollover protective structures for heavy equipment, requiring fastening of seat belts, adoption of a lock-out/tagout standard, establishing restricted access zones around heavy equipment, and requiring spotters for workers who must be near heavy equipment or trucks would reduce the risk of heavy equipment- and truck-related deaths in construction. IMPACT ON INDUSTRY: Safety of heavy equipment operators in particular is a major concern in excavation that needs to be addressed.     

Status and future tasks of coal mining safety in China

In general, contexts of coal mining safety involve technology, administration and socioeconomic environment as well. This paper presents statistical analysis of China coal mine accidents in recent years and analyzes the reasons causing coal mining high risk from technical and socioeconomic viewpoints. Social and economic reform has been unleashing social, economical factors that are driving a fundamental transformation of new workplace safety problems and making China coal mining safety take on Chinese features. Compared with major state-owned and local state-owned coalmines, township and village coalmines are most dangerous coal mines with highest occupational risks. The incidence and death toll of ceiling accidents are higher than those of accidents such as gas, machinery, electricity, transportation, flood, and fire. New organizational risks appeared with rapid development of state-owned coal mines’ reorganization. Low skilled labors restrict both technical renovation and safety management. The Government has adopted a systematic arrangement to improve coal mining safety such as closing the township and village coalmines that cannot meet the standard of safety, reinforcing the supervision over coal mining safety, strengthening technological renovation and enhancing work safety input.     

The role of behavioral factors on safety management in underground mines

Traditional approaches on the prevention of accidents/injuries in mines reached its limit of effectiveness in improving safety performance and a fresh approach is utmost required. Behavioral safety analysis has been identified as an effective alternative in many industries. This paper is therefore sought to examine the role of behavioral factors on the occurrence of mine accidents and injuries through a case study. Data were collected from two neighboring underground coalmines operating under a large public sector organization of India. High–low plots and t-test were done to explore the differences between behavioral characteristics of accident involved (case) and non-involved (control) workers. How these differences could cause accidents/injuries in mines was estimated through structural equation modeling. The case study results show that accident group of workers (cases) are more job dissatisfied, negatively affected, and highly risk taking compared to the non-accident group of workers (controls). The accident model path analysis shows that negative affectivity, job dissatisfaction, and risk taking behaviors predict an increased number of injuries in mines. Apart from direct influences to work injuries, negative affectivity and job dissatisfaction make workers to take more risks and behave unsafely. These findings contribute to the design of safety programs including safety training, which should be behaviorally motivated. Mine safety management of the case study mines should outskirt their age old belief that accidents/injuries are due to hazardous nature of mining and only engineering control and regulatory monitoring are sufficient for improving safety of the mines. The multivariate analysis also shows that experience bears no relationships with work injury indicating that a less experienced worker is equally likely to be injured as an experienced worker. It implies that experience though helps workers in understanding the physical hazards, however, avoiding the imminent danger is much more behavioral. The variables negative affectivity, job dissatisfaction, and risk taking behaviors are therefore crucial in avoiding accident/injuries in mines.     

我国煤矿安全生产与监管中的三方博弈分析

煤炭开采是我国最大的高危行业之一，本文针对我国煤矿安全事故频繁的现状和特点，从煤矿的内部管理与政府对煤矿的监督两方面入手，深入分析了我国煤矿安全监管体制中行为原因而存在的问题，从而建立了我国煤矿安全管理中基于政府、煤矿和职工的三方博弈模型。根据博弈模型的求解结果，建立了能使三方达到均衡的加强煤矿安全生产和完善监管体制的几点建议。     

Logistic regression model for prediction of roof fall risks in bord and pillar workings in coal mines: An approach

The roof fall hazards are the major problems in underground coal mines, which are generally unpredictable due to the associated uncertainties arising out of the complexity of geological conditions and variability in mining parameters. During the six year period, 1996–2001, 253 Indian coal miners lost their lives and 401 are seriously injured in 490 different roof fall accidents. In India, 32.7% of the total fatal injuries in coal sectors are due to roof fall in bord and pillar method of workings. This paper attempts to predict the severities of roof fall accidents based on some major contributing parameters using the binary logistic regression model. In total, 128 roof fall accidents for the last few years from five underground coal mines in India having bord and pillar method of working are analyzed for this study. The results revealed that wider gallery width is more prone to major and serious accidents than narrower gallery width. Thin seams are more amenable to major accidents in comparison to thick seams. Unsupported or partially supported roofs have higher risk for contributing major as well as serious accidents. Deep workings are more prone to major accidents as compared to shallow depth workings.     

Key airborne concentrations of chemicals for emergency response planning in HAZMAT road transportation- margin of safety or survival

The release of chemicals due to road transportation accidents could have adverse consequences such as fatality, physical and financial loss and environmental damage. The purpose of this study was to determine the suitable margin of safety/survival of individuals in HAZMAT road transportation accidents for use in Emergency Response Planning (ERP). In this study, at first, the safety margin and survival margin were defined and proposed. Then, as a case study, the chemical tanker trucks in Iran's road transport fleet were investigated and the full bore rupture of the tanker trucks was considered as the selective scenario. Eventually, safety margin and survival margin were determined using ALOHA and PHAST software and the Chemical Exposure Index (CEI). The results showed that using the CEI, among the selected chemicals, ammonia, chlorine and 1,3-butadiene had the highest chemical release potential with the exposure indices of 597, 548 and 284, respectively, and need further investigation. The possible safety margin obtained in this study was distances over 5100 m (using ALOHA software for ammonia) and 10,983 m (using PHAST software for chlorine). On the other hand, the survival margin was distances over 980 m away from the accident area (using ALOHA software for ammonia) and 620 m away from the accident area (using the PHAST software for chlorine). The results of this study indicate that determining the safety and survival margins surrounding the tanker trucks and containers of chemicals is a critical issue for the emergency response planning and determining the standards of road's safety and survival margins. On the other hand, due to the obtainment of different results by various methods and software, in road accidents, the highest hazard distance is suggested to be considered to determine the safety margin (distances longer than 10,983 m) and survival margin (distances longer than 980 m) for ERP, regardless of the type of used material and software.