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21.
基于ArcIMS的旅游安全管理系统 总被引:3,自引:0,他引:3
结合旅游业的特点,即综合性、敏感性、涉外性或国际性,提出旅游安全管理系统应该包括:灾前的防范系统、灾时的抗灾系统以及灾后的评估善后系统3大部分的设计思路。将相应的旅游重大危险源监控系统的功能定为:以行政监察、社会监督、行业自律和应急救援体系为主的宏观管理系统。阐述了Web GIS的优点并推荐了一种构建Web GIS的新技术———ArcIMS,利用ArcIMS的系统构建的旅游安全管理系统具有功能健全、管理方便、系统成熟和安全可靠的诸多优点;同时整个系统的构建相对于其他Web GIS系统的开发而言,技术难度比较低、开发速度比较快,而且系统运行相对稳定,减轻了系统维护的负担。最后,结合旅游安全信息流的特点,具体阐述了运用ArcIMS作为旅游安全管理系统的平台的合理性和可行性。 相似文献
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Crevice corrosion occurs in a holiday and disbonded region between coating and pipeline steel. Cathodic protection (CP) is generally recognized as the most effective method for corrosion prevention of pipeline, but its effectiveness may be reduced at defects in a disbonded coating. It is difficult to measure and probe corrosion parameters accurately based on experimental work. Therefore, a mathematical model is necessary to identify the phenomena and mechanisms that contribute to the crevice corrosion process. In this work, a mathematical model was developed to determine the evolution of chemical and electrochemical transient processes of crevice corrosion in NaCl dilute solution, and the effect of cathodic protection and crevice width on corrosion of 20# steel pipeline with disbonded coatings. Results have demonstrated that the extent of crevice corrosion depends on the crevice geometry and could be influenced by the increase of crevice depth and decrease of its width. The oxygen concentrations drop significantly inside a crevice whether CP is applied or not and whether crevice width decreased or not. The pH values and conductivity of crevice solution increase with the time. The research provides a theoretical foundation for cathodic protection of pipelines and establishes an effective corrosion model which can identify the phenomena and mechanisms of the crevice corrosion process. This work could be used to help mitigate the corrosion failure of pipelines to prevent catastrophic accidents in oil, gas and chemical process industries. 相似文献
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王文钦 《中国特种设备安全》2014,(7):61-63
主要介绍了电梯的意外轿厢移动保护功能。轿厢意外移动对乘客安全存在巨大隐患,为实现意外移动保护,利用门区及辅助轿门触点构成检测单元;AGSR及BCR检测继电器组合控制UCMR继电器,形成控制单元;UCMR继电器分别控制安全回路及抱闸回路,形成执行单元。 相似文献
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山林地表慢渗系统处理农村生活污水厂尾水研究 总被引:1,自引:0,他引:1
利用山区污水处理厂周边森林植被构建慢速渗滤污水处理系统,用来处理山区农村生活污水厂尾水。结果表明,慢渗系统能够深度净化污水尾水,对COD_(Cr)、NH_3-N、NO_3-N、TN、TP的平均去除率分别为23.8%、40.2%、14.3%、11.3%和23.6%。并且土层越深,COD_(Cr)、TN、TP浓度越低,相应的去除率越高,而NO_3-N、TN去除率则呈降低趋势;山体坡度越大,COD_(Cr)、氨氮浓度有升高趋势,硝态氮、TN、TP有降低趋势;而坡长越大,COD_(Cr)、NH_3-N、NO_3-N、TN浓度有降低趋势,TP有升高趋势。此外,植被类型对水样化学性质有一定影响,竹林更利于COD_(Cr)、NH_3-N、TP浓度的降低,针阔混交林更利于NO_3-N、TN浓度的降低。 相似文献
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Reza Kashiry Fard Reza Azar Afza Reza Teimouri 《Journal of Manufacturing Processes》2013,15(4):483-494
Dry wire electrical discharge machining (WEDM) is an environmentally friendly modification of the oil WEDM process in which liquid dielectric is replaced by a gaseous medium. In the present work, parametric analysis has been fulfilled while dry WEDM of Al–SiC metal matrix composite. Experiments were designed and conducted based on L27 Taguchi's orthogonal array to study the effect of pulse on time, pulse off time, gap voltage, discharge current, wire tension and wire feed on cutting velocity (CV) and surface roughness (SR). Firstly, a series of exploratory experiments has been conducted to identify appropriate gas and wire material based on the values of cutting velocity. After selection of best gas and best wire, they were used for later stage of experiments. Analysis of variances (ANOVA) has been performed to identify significant factors. In order to correlate relationship between process inputs and responses, an adaptive neuro-fuzzy inference system (ANFIS) has been employed to predict the process characteristics based on experimental observation. At the end, an artificial bee colony (ABC) algorithm has been associated with ANFIS models to maximize CV and minimize SR, simultaneously. Then the optimal solutions that obtained through ANFIS-ABC technique have been compared with numbers of confirmatory experiments. Results indicated that oxygen gas and brass wire guarantee superior cutting velocity. Also, according to ANOVA, pulse on time and discharge current were found to have significant effect on CV and SR. In modeling of CV and SR by ANFIS, it was resulted that the proposed method has superiority in prediction of them in the ranges of factors beyond the training condition. Also, association of ANFIS with ABC can find the optimal combination of process parameters accurately according to the confirmatory experiments. 相似文献
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