2011—2013年广州市道路交通噪声监测与分析
doi: 10.13205/j.hjgc.201501033
BUILDING OF MATHEMATICAL MODEL ABOUT SAFETY EARLY WARNING INDEX IN INDUSTRY AND TRADE SECTORS
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摘要: 在2013年10—12月期间,选取了广州市58条道路和20栋噪声敏感建筑物进行噪声监测,与2011—2012年监测数据相比较,综合分析了广州市道路交通噪声的现状和变化规律。分析表明:广州市昼夜道路交通噪声以71 d B和70 d B为中心上下波动。对于2013年监测数据,噪声敏感建筑物昼夜噪声均值为65.1 d B和64.6 d B,夜间最大突发噪声均值为80.7 d B。此外还计算了每条道路的昼夜噪声频率重心,结果显示,广州市道路昼夜交通噪声频率重心分布基本相同,以1 000~2 000 Hz最为集中。Abstract: Through the careful interpretation of the Detailed Grading regulations of Work Safety Standardization Basic Norms in Metallurgical and Other Industry and Trade Industries ,the safety early warning indicator was broken down into 13 level indicators and 38 secondary indicators,then,the corresponding normalized weights were given after treatment to the corresponding index. For these thirteen security warning indicators,mathematical quantitative models were established, meanwhile,calculation methods and the security state division of early warning indicators were given. Combined with GM ( 1, 1) gray prediction theory and Gray Model,predictive models were built suitable for industry and trade enterprises and predictions were made aimed at the early warning index in the future helping industry and trade corporation predominate dynamic safety production in real-time and making a scientific and reasonable decisions.
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Key words:
- safety production /
- early warning index /
- mathematical model /
- indicator /
- predict
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