In coal mining, the myriad of factors influencing miners' attention to safety necessitates deeper exploration. Particularly, discerning the significance and interplay of these factors offers crucial insights into the actual disparities in miners' safety attentiveness. Yet, a limited number of comprehensive studies address this dimension. Thus, an advanced Decision Making Trial Evaluation Laboratory-Interpretive Structural Model (DEMATEL-ISM) has been employed to probe the determinants impacting coal miners' safety focus and the mechanisms underpinning these interactions. The objective is to provide strategies that could diminish the occurrence of minor accidents. Results revealed that there are 9 causative factors and 6 resultant factors shaping the coal miners' attention to safety. Within the structural model of these factors, three layers and seven levels were identified. Notably, the intricacy of relationships among these factors was found to be profound. Emphasis is recommended on the management of these intricate deep-level causative factors boasting high driving power, and mid-level resultant factors characterized by both substantial driving force and dependence.

In order to study the influencing factors of coal permeability enhancement under the effect of phase change thermal storage, coal permeability enhancement experiment and coal gas seepage experiment were conducted, and the effects of thermal storage transition temperature, phase change times, liquid content and crushing degree on the permeability change of coal were analyzed respectively. The results showed that the coal permeability increased linearly with the increase of phase transition temperature; the liquid content and phase change times were main important factors of the coal permeability enhancement under the effect of phase change thermal storage. With the increase of the liquid content of coal or the phase change times of phase change thermal storage, the coal permeability increased exponentially as a whole, and the maximum increased to 556.04% and 406.92% respectively. However, when the number of phase change times reached to a certain value, the increase of coal permeability slowed down gradually. And the permeability enhancement effect of coal was closely related to the degree of coal crushing, when the degree of coal crushing was high, the increase degree of the coal permeability was also more obvious.

实践教学是安全工程专业应用型人才培养的核心环节.基于此,通过开展人才需求调研,确定实践教学预期学习产出,构建基于OBE理念的安全工程专业实践教学体系,使教学活动逆向设计,正向实施,培养学生的创新能力、实践能力、主动学习能力和团队合作能力,从而构建多元化的考核方式和持续改进的教学质量评价体系,以提高实践教学质量、教学效果和人才培养质量.

职业安全卫生工程是安全工程专业一门重要的专业课程,多学科交叉性、专业性、实践性、应用性强是该课程的主要特点.为提高教学效果以及人才培养质量,对该课程的教学现状以及存在的主要问题进行了分析,提出了基于"课-证-岗-赛"融合的职业安全卫生工程课程教学改革思路,从合理构建课程教学内容体系、紧密结合我国...>>详细职业安全卫生工程是安全工程专业一门重要的专业课程,多学科交叉性、专业性、实践性、应用性强是该课程的主要特点.为提高教学效果以及人才培养质量,对该课程的教学现状以及存在的主要问题进行了分析,提出了基于"课-证-岗-赛"融合的职业安全卫生工程课程教学改革思路,从合理构建课程教学内容体系、紧密结合我国职业资格证书获取要求、坚持面向用人单位岗位要求、以"赛"促进学生创新创业能力培养、多元教学方法有机结合五个方面对课程教学设计进行了探讨.

In order to study the effect of liquid-solid expansion phase change on coal permeability enhancement under thermal environment, based on the experiment of increasing the permeability of coal by thermal storage phase change, the characteristics of coal permeability and T2 relaxation time spectrum changes under the effect of thermal storage phase change are obtained, and the effects of thermal storage phase change on coal permeability and pore structure were analyzed. The research results show that the maximum increase in coal permeability under the effect of thermal storage phase change reaches 150.8%, the thermal environment provided by the thermal storage phase change can promote the effect of phase change expansion on the increase of the coal permeability. The peak of the coal body T2 relaxation time between 10 ms and 50 ms and about 100 ms rises relatively higher, the increase is 15.36% and 18.03%, and the maximum increase of the T2 value between the two peaks is 47.11%. The thermal storage phase change mainly increases the permeability of coal by increasing the number of medium and large pores and cracks, and the structure connectivity between the two.

Underground oil and gas pipelines are usually expected to be long-lasting. Corrosion of these steel pipelines may cause structural failures that significantly threaten life and cause environmental hazards. Therefore, developing a reliable approach to estimate soil corrosivity is important for designing a targeted anti-corrosion structure and performing risk assessment. In this study, an extension-based approach is proposed to evaluate soil corrosivity based on the following seven soil properties: redox potential, soil resistivity, pH, pipe-to-soil potential, water content, Chloride (Cl−) concentration, and salt content. Specifically, the soil was classified into five corrosivity levels, and the classic domain element, joint domain element, and element to be evaluated were established by the matter-element theory. Then, the corrosivity level was determined based on the maximum correlation degree of the multi-index to the five levels, and the final classification was obtained from the eigenvalues of the grade variables. Finally, the case study was examined to validate the application of the approach, and the results were compared to the method of buried metal specimens, which was used as a criterion. The present approach, which provided a more detailed classification, was demonstrated to be a superior choice for classifying soil corrosivity levels.

为研究化工企业火灾爆炸事故的主要人为因素,以63起火灾爆炸事故案例为样本,构建人为因素分析与分类系统(HFACS)模型,进行火灾爆炸事故人为因素分类统计与分析,并利用卡方检验和比值比分析HFACS模型上下层级间的因果关系.结果表明:HFACS模型中上下层级人为因素间存在显著的因果关系,层级1中的"不良的组织氛围"及"组织过程漏洞"和层级2中"监督不充分"在HFACS模型中可以显著增大事故发生的可能性,且"资源管理漏洞"、"不良的组织氛围"、"组织过程漏洞"→"监督不充分"→"人员因素"→"违规"是引发事故的关键路径,并根据HFACS模型中引发事故的关键路径及其人为因素的主要表现形式,提出针对性的化工企业火灾爆炸事故预防措施.

为了准确判定盾构隧道开挖面塌方风险等级,应用可拓学物元理论建立了塌方评价预警模型.首先,选取隧道围岩分级、岩层黏聚力、岩体重度、溶洞直径、最近距离、岩层渗透系数等19个预警指标,划分4个预警等级.其次,利用可拓集合理论的关联函数计算预警指标对预警等级的关联系数,引入熵权法确定指标权重,避免了人为主观因素的影响,根据最大关联度原则和级别变量特征值判定预警等级,建立基于熵权的可拓评价预警方法.最后,将该方法应用于我国某盾构隧道开挖面的塌方风险预警,得出塌方预警等级的级别变量特征值为2.27,属于黄色预警范围,与开挖面实际情况相吻合.研究表明,该方法科学合理、简单高效,对盾构隧道开挖面的塌方风险预警具有较好的适用性.

Oil and gas pipelines have many risk factors, such as third party damage, corrosion, design, and maloperation, which possess many specific risk factors, the least buried depth, ground operations, ground equipment, public education, line status, patrol frequency, and many others. How to determine the weight of each factor accurately is a widespread concern. In this study, the improved three-scale AHP method is introduced to determine risk index weight of pipelines. This method has the advantages of being concise and practical, as well as having a small workload, strong pertinence, and easy-to-compare factor significance, all of which make it more accurate and objective to determine the indexes weights and to conform better to the actual situation. The method proceeds in three steps: first, using improved AHP to determine weight of the two-level index; then, similarly, determining the weight of the three-level index successively; and finally, calculating the weight values of all risk factors.

Recently, oil and gas pipeline accidents happened frequently, such as pipeline leakages, fires and explosions. The accidents often result in a large amount of property losses, casualties and environmental pollutions, and bring in extremely bad influences to our country's social and economic development. Currently, pipeline corrosion situation is very serious and has become one of the important hidden dangers for our country's pipelines safety. Therefore, making scientific analysis on the corrosion situation of pipelines is important and necessary. In this paper, in order to analyze and forecast the corrosion situation of pipelines, we brought in grey GM(1,1) model and Markov chain model to evaluate the maximum corrosion depth and the maximum probability states of pipeline corrosion in the following years, and test the model precision as well. The results show that in the situation of few detection data, the Grey-Markov model can well forecast the maximum corrosion depth and the maximum corrosion probability states of pipelines, and help us master the corrosion tendency of pipelines in the future, and provide guidance for further repairs, maintenances, and detection of pipelines. Broadly speaking, the corrosion forecast has important guiding significances for ensuring the oil and gas pipelines safety.

With the increasing of the service time, the corrosion of the oil and gas pipelines has become more and more seriously for the surrounding environment and the materials conveyed in them. The leak may be happened when the actual operation pressure of the pipelines is larger than the maximum safe pressure if the corroded is not repaired. Once leaked, the oil and gas may be spilled out and caused the accidents such as fire, explosion and pollution unfortunately. At present, most of the researches on failure pressure problems are focused on the single condition cases and few concerned on the characters of different pipelines materials. Therefore, based on the theoretical foundations of fracture mechanics and the characters of the materials, the mathematical model for the failure pressure of the corroded oil and gas pipelines was built in this paper. And then the maximum safety operating pressure of the different grade pipelines were predicted by applying the mathematical model. Furthermore, the factors affecting the failure pressure of the corroded pipelines were discussed and the influence of the different lengths or depths of the corroded area on the failure pressure of the corroded pipelines were analyzed too. Finally, some conclusions and suggestions were proposed to the safety of the oil and gas pipelines.

Based on the relationship between the mine geological factors and gas occurrence status,the paper discussed the gas geological law of Xinfa coal mine and comprehensively analyzed the coal seam gas occurrence characteristics in fault and other complex areas of geological structure,as well as the influence of the coal seam surrounding rock,coal seam floor elevation and coal seam buried depth on gas occurrence.The results showed that the geological structure was the main factor to control gas distribution of 36A coal seam,and secondly was coal seam floor elevation and buried depth.It used the gas content and gas emission data of production measured,then established mathematical model of the coal seam floor elevation and gas content as well as gas emission quantity.Meanwhile it took the regression analysis,and predictded gas content and gas emission quantity in coal mine's deep level,which provided a basis for the gas prevention and control.