GPS观测台日常运行维护问题探讨

GPS连续观测台网是监测福建地壳形变运动的骨架网.本文对实际观测工作中所遇到的软件设置中碰到的程序无响应、日常维护中的注意事项、软件设置技巧等问题进行探讨,提出有效的解决办法,为同行提供借鉴,进一步提高和观测质量,获取更真实的观测数据.     

环境空气氮氧化物自动监测仪器的维修方法

分析了环境空气氮氧化物(NOx)自动监测仪故障产生的原因,并提出了判断和处理故障的维修方法.     

生物多样性研究进展

生物多样性是自然资源中的一个重要组成部分。在最近的40年内,生物多样性的研究发展很迅速,有关多样性的测定方法已形成了数十个数学模型和多样性指数。生物多样性的功能也研究得比较多,生物多样性的保护技术也已逐渐系统化,并开始了持续利用和合理开发的研究。     

Impact of heavy metal pollution on plants and leaf-miners

Large-scale effects of diffuse heavy metals pollution on terrestrial ecosystems are still underestimated. We studied the relation between the biodiversity of vascular plants and the feeding Lepidoptera, in our case leaf-miners and pollinating adult butterflies, in a Dutch nature reserve over a period of five years. We found that 5% of the 56 plants species which provide food and habitat to Microlepidoptera during their larval stage were affected by heavy metal pollution. Furthermore, the numerical abundance of leaf-mining larvae remained rather constant, despite of significant increases of the concentrations of Cd, Cu, Ni and Zn pollutants in leaves and litter.     

电仪ITPM提升大型石油炼化企业生产过程本质安全的实践

为适应大型石油炼化企业长周期高负荷运行和绩效提升、安全环保要求,提前发现并消除因电气和仪表设备超期服役、老化及性能不稳、下降等易导致安全风险的潜在因素,通过构建并实施科学、合理的电仪ITPM(设备预防性维修管理体系),及时消除电气和仪表缺陷,避免因电仪原因导致装置非计划停车、波动及安全环保事故的发生,提高电仪设备的可靠性和稳定性,确保大型石油炼化企业生产过程的本质安全。     

影响电除尘器高效持久运行的关键因素

通过萍乡矿业集团公司水泥厂使用电除尘器的情况 ,总结在实际应用中电除尘器高效持久运行必须具备的条件和应采取的措施     

人工湿地系统的维护

介绍垂直流人工湿地改造前后小试和中试系统结构,针对处理效果和系统运行中堵塞问题进行分析,得出系统堵塞问题与植物的选种和填料的组成等有关,并对人工湿地系统的运行维护提出独特的见解.     

TEOM~ RP1400a(PM_(10))测尘仪日常维护和常见故障处理

介绍TEOMR○RP1400a(PM10)测尘仪原理、工作过程以及日常维护、质量控制和常见故障的排除方法。     

Developing a risk-based maintenance model for a Natural Gas Regulating and Metering Station using Bayesian Network

During the last decades, the vital role of maintenance activities in industries including natural gas distribution system has cleared up progressively. High costs may induce to reduced maintenance and, in turn, lead to a lower availability and high risk of undesired events. Therefore, a probabilistic model, based on an acceptable level of risk, is required to avoid under and over estimation of maintenance time interval. This paper presents an advanced Risk-based Maintenance (RBM) methodology to optimize maintenance time schedule. Bayesian Network (BN) is applied to model the risk and the associated uncertainty. The developed method can assist the asset managers to work out the exact maintenance time for each component according to the risk level. To demonstrate and discuss the applicability of the methodology, a case study of Natural Gas Reduction and Measuring Station in Italy is considered. Results prove that the most critical components are the calculator and pilots, while the most reliable one is the odorization. Furthermore, the pressure and temperature gauge (PTG), the remote control system (RCS) and the meter are predicted as the components that require less time to transit from minor risk to catastrophic risk.     

Equipment failures and their contribution to industrial incidents and accidents in the manufacturing industry

Accidental events in manufacturing industries can be caused by many factors, including work methods, lack of training, equipment design, maintenance and reliability. This study is aimed at determining the contribution of failures of commonly used industrial equipment, such as machines, tools and material handling equipment, to the chain of causality of industrial accidents and incidents. Based on a case study which aimed at the analysis of an existing pulp and paper company's accident database, this paper examines the number, type and gravity of the failures involved in these events and their causes. Results from this study show that equipment failures had a major effect on the number and severity of accidents accounted for in the database: 272 out of 773 accidental events were related to equipment failure, where 13 of them had direct human consequences. Failures that contributed directly or indirectly to these events are analyzed.