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安全生产档案是安全生产管理系统的重要组成部分，为实现地勘单位安全生产目标．必须建立和健全安全生产档案。安全生产档案是实现安全生产管理法制化、科学化、标准化的基础。地勘单位安全管理工作复杂、繁重，建立健全安全生产档案，能有效地帮助单位领导及安全管理部门及时准确的实施安全措施，掌握和了解安全生产形势，创新安全生产管理办法。 相似文献
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钻探安全在地质勘探安全工作中是一个非常重要的方面。近年来，钻探安全生产取得了明显的成绩。但是，由于在新的形势下，钻探工程扩大了服务领域，使得钻探生产内部出现了一些新情况、新问题，钻探安全生产的任务更加严峻和复杂。因此，研究钻探工程安全生产的规律，分析钻探工程伤亡事故原因，排 相似文献
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为贯彻“以人为本，安全第一，依法办矿，守界开采”的工作方针，提升采矿权人的安全生产意识，确保矿山企业安全生产和人民群众生命财产安全，冷水江市国土资源局成立了“安全生产活动月”领导小组，并制定出台了切实可行的实施方案，安排专项活动经费，开展了多形式、全方位的宣传活动。 相似文献
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本文分析了地勘单位安全生产管理机构在地勘经济发展中的地位和作用，阐述了在现阶段地勘单位安全生产管理机构单设是必要的，论述了如何看待地勘单位安全生产管理机构单设问题。 相似文献
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三峡库区地质灾害监测预警工程经济效益评估分析 总被引：1，自引：0，他引：1
地质灾害监测预警工程有效地保护了三峡库区人民生命财产安全和长江航运。为了衡量其发挥的经济效益,在界定三峡库区地质灾害监测预警工程投入产出边界的基础上,构建详细的投入产出指标体系,进而综合分析地质灾害的类型、特点、环境状况、时空特征等诸多因素,构建了三峡库区地质灾害监测预警工程经济效益的期望值与实际可能值评估模型与方法,并运用湖北省秭归县郭家坝镇头道河村张家湾滑坡的基本数据进行了实例分析。本研究成果可为三峡库区地质灾害监测预警及治理提供决策方法。 相似文献
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近年来,气候变化背景下的水资源问题得到日益增加的关注,其研究从水资源短缺、供需平衡等内容转向适应可持续发展的综合研究。基于投入产出理论的水资源研究,从系统循环的角度分析资源的流动性和持续性,能够揭示水资源-经济社会复合系统中各要素的内在数量关系,提出面向可持续发展的水资源价值观和方法论。首先,从模型拓展和实际应用两条主线梳理了国内外基于投入产出理论的水资源相关研究。在模型方面,概括了投入占用产出模型、水资源投入产出模型和区域间投入产出模型的发展和适用性,对比分析了不同区域间投入产出模型的优缺点。在应用方面,分别从不同时空尺度、驱动力因素等方面对虚拟水、水足迹和水资源优化配置三个热点内容进行了整理,并指出：基于投入产出理论的水资源研究基本建立在价值型模型的基础上;区域间投入产出模型已成为分析区域间经济结构、资源流动等环境问题的重要工具。其次,讨论了投入产出模型在冰冻圈水资源管理中的应用,提出基于服务角度的水资源管理模式。最后,展望了投入产出理论在水资源研究中的应用,以期能够为决策者提供额外的信息以便更好的管理水资源。 相似文献
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本文针对目前安全管理存在的问题，论述了安全与生产的关系，分析了影响安全生产管理网络发挥作用的六大因素，阐明了要强化安全生产管理的重要性，并提出了相应的对策。 相似文献
8.
本文结合安全生产管理的实际和发展需要，就综合性工程设计与工程管理单位的安全生产与对策进行了探讨。主要包括建立安全生产组织，责任体系，加强预防，抓好基层，做好宣教培训及树立正确的安全观等。 相似文献
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Gas drainage not only ensures safety in coal mine but also produces clean energy and reduces emission of greenhouse gases. However, a good method to evaluate the efficiency of gas drainage is still absent. In this study, we firstly propose a definition of gas drainage efficiency which is defined as the ratio of the real output–input efficiency to the ideal output–input efficiency. The definition combines both engineering parameters such as radius, length of borehole and economical parameters such as drilling cost to develop a comprehensive index for the assessment of the engineering–economical efficiency. Then, three important factors to determine gas drainage efficiency including the difficulty level, the input and output, namely investment and production, and the attenuation characteristic of gas drainage are discussed. Based on the relative standards, the index can reasonably evaluate gas drainage projects with different difficulty levels, thereby avoiding dependence on an absolute standard for the evaluation of overall difficulty levels. The indicator can also take both input and output into consideration and reflect the reduction of gas drainage flow with time. Besides, we investigate the relationship between gas drainage efficiency and several engineering parameters, including borehole radius, borehole length and the quality of borehole sealing. The results show the possibility of optimizing engineering parameters to maximize gas drainage efficiency. Finally, the evaluation method is proven efficient by performing case studies. 相似文献
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A study of slope stability prediction using neural networks 总被引：5，自引：0，他引：5
The determination of the non-linear behaviour of multivariate dynamic systems often presents a challenging and demanding problem. Slope stability estimation is an engineering problem that involves several parameters. The impact of these parameters on the stability of slopes is investigated through the use of computational tools called neural networks. A number of networks of threshold logic unit were tested, with adjustable weights. The computational method for the training process was a back-propagation learning algorithm. In this paper, the input data for slope stability estimation consist of values of geotechnical and geometrical input parameters. As an output, the network estimates the factor of safety (FS) that can be modelled as a function approximation problem, or the stability status (S) that can be modelled either as a function approximation problem or as a classification model. The performance of the network is measured and the results are compared to those obtained by means of standard analytical methods. Furthermore, the relative importance of the parameters is studied using the method of the partitioning of weights and compared to the results obtained through the use of Index Information Theory. 相似文献
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降雨预报信息作为洪水预报模型的输入,该信息的准确性直接影响洪水预报模型输出的准确性.为探究模型输入(降雨预报)误差与输出(洪水预报)误差之间的关系,以英那河流域为例,分析了不同雨量等级下,预报模型的输入误差与输出误差的分布规律,并定性分析了两种误差的相关关系.结果表明,降雨量等级若为无雨及小雨时,两种误差不相关;若为中... 相似文献
14.
危险块体的搜索及显现是现代地下矿山安全管理的重要内容,由于各种原因一直未能得到很好的解决。采用子系统映射全局的研究思路,以DXF兼容性格式文件的方式连通GeneralBlock和3DMine两款软件的应用,对地下矿山危险块体的自动搜索及系统显现集成技术进行了研究。以铜坑矿锌多金属矿体255 m和305 m水平的开拓巷道为工程背景,首先,将结构面调查数据输入GeneralBlock完成块体的分析计算,输出含危险块体的DXF格式文件;其次,将该文件导入3DMine软件,析出危险块体,并保存其实体文件;然后,将实体文件调入至3DMine巷道模型中,对危险块体进行精确定位;最后,对所有危险块体着以红色进行预警,从而实现开拓巷道中危险块体的系统显现。应用表明：利用所研发的集成技术,在255 m和305 m水平开拓巷道内,发现了可移动稳定块体27个,不稳定块体1个,顺利实现了地下矿山危险块体的自动搜索及系统显现。研究成果可为地下矿山的安全管理、灾害预警与裂隙加固等提供基本依据。 相似文献
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Pamela G. Doctor 《Engineering Geology》1989,26(4):411-429
Sensitivity and uncertainty analyses methods for computer models are being applied in performance assessment modeling in the geologic high-level radioactive-waste repository program. The models used in performance assessment tend to be complex physical/chemical models with large numbers of input variables. There are two basic approaches to sensitivity and uncertainty analyses: deterministic and statistical. The deterministic approach to sensitivity analysis involves numerical calculation or employs the adjoint form of a partial differential equation to compute partial derivatives; the uncertainty analysis is based on Taylor series expansions of the input variables propagated through the model to compute means and variances of the output variable. The statistical approach to sensitivity analysis involves a response surface approximation to the model with the sensitivity coefficients calculated from the response surface parameters; the uncertainty analysis is based on simulation. The methods each have strengths and weaknesses. 相似文献
16.
Using of neural networks for the prediction of nitrate groundwater contamination in rural and agricultural areas 总被引：1，自引：0，他引：1
Khamis Al-Mahallawi Jacky Mania Azzedine Hani Isam Shahrour 《Environmental Earth Sciences》2012,65(3):917-928
As a neural network provides a non-linear function mapping of a set of input variables into the corresponding network output,
without the requirement of having to specify the actual mathematical form of the relation between the input and output variables,
it has the versatility for modeling a wide range of complex non-linear phenomena. In this study, groundwater contamination
by nitrate, the ANNs are applied as a new type of model to estimate the nitrate contamination of the Gaza Strip aquifer. A
set of six explanatory variables for 139 sampled wells was used and that have a significant influence were identified by using
ANN model. The Multilayer Perceptrons (MLP), Radial Basis Function (RBF), Generalized Regression Neural Network (GRNN), and Linear Networks were used. The best network found to simulate Nitrate
was MLP with six input nodes and four hidden nodes. The input variables are: nitrogen load, housing density in 500-m radius
area surrounding wells, well depth, screen length, well discharge, and infiltration rate. The best network found had good
performance (regression ratio 0.2158, correlation 0.9773, and error 8.4322). Bivariate statistical test also were used and
resulting in considerable unexplained variation in nitrate concentration. Based on ANN model, groundwater contamination by
nitrate depends not on any single factor but on the combination of them. 相似文献
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论述了施工企业建设现代安全生产管理体系的重要性,并总结了广东煤炭地质局建设安全生产管理体系．促进安全生产的实践经验,提出了施工企业应从以建立完善安全生产责任制为核心,健全各项规章制度．加强员工的教育培训、资金投入和安全检查五个方面为重点建立现代安全生产管理体系的思路。 相似文献
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Modeling and Interpretation of Pressuremeter Test Results with Artificial Neural Networks 总被引：1，自引：1，他引：0
In this paper, three types of artificial neural network (ANN) are employed to prediction and interpretation of pressuremeter test results. First, multi layer perceptron neural network is used. Then, neuro-fuzzy network is employed and finally radial basis function is applied. All applied networks have shown favorable performance. Finally, different models have been compared and network with the most outstanding performance in two stages is determined. Contrary to conventional behavioral models, models based neural network do not demonstrate the effect of input parameters on output parameters. This research is response to this need through conducting sensitivity analysis on the optimal structure of proposed models. 相似文献
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针对已滑动或有明显变形的边坡,取定稳定系数值进行反演分析是确定岩土体抗剪强度的重要手段。当边坡滑动面穿越多层岩土体时,盲目地抗剪强度试算反演明显不合理。为解决此问题,构造以多层岩土体抗剪强度为输入,以GeoSlope计算得到的稳定系数、滑面剪入口和剪出口位置为输出的BP神经网络,基于取定的稳定系数和现场测定的滑动面剪入口和剪出口位置,通过重复执行“逆向反推-误差校验-样本修正”实现岩土体抗剪强度的逆向迭代修正反演。工程实例验证结果表明,该方法获取的岩土体抗剪强度基本合理,可供小型边坡防护工程设计参考。该方法成功地规避了BP神经网络以已知信息为输入、以待反演参数为输出的传统做法在解决该问题时为欠定的局限性,对样本库样本数量的要求降低且具有较好精度。 相似文献
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为了解决煤矿井下大功率钻探设备外形尺寸增大而带来的井下运输和钻场使用不便等问题,基于将大功率设备多体化的思路,提出了煤矿井下钻探用泥浆泵车这一煤矿井下新型钻探设备。通过对泥浆泵单元水力端与液力端参数计算及低速大扭矩液压马达特性的匹配设计了泥浆泵单元,泵车总体设计集成了履带车体、操纵台、泵站等关键部分,并且对泵车完成了以人机工程学为基础的工业设计。泥浆泵车系列化扩大了该类型产品的应用范围,为煤矿井下钻探装备在瓦斯抽采、防治水、底板治理、大直径高位钻孔等煤矿安全治理方面提供关键设备。 相似文献