Research On The Evaluation Index Of Workers Hearing Damage Caused By Noise

With the rapid development of industrial production and urban construction,noise pollution has become more and more serious.How to correctly measure and evaluate the harm of industrial noise and take corresponding measures in prevention and management is the key to preventing and controlling noise and protecting workers' hearing.Occupational hearing loss is a research hotspot in the field of occupational health at domestic and foreign.The current international standard for noise exposure(ISO 1999-2013)is based solely on energy metrics.The Equal Energy Hypothesis(EEH)is usually applied to continuous or steady-state noise(Gaussian)but not to complex noise.A number of epidemiological studies have shown that workers in the environment that contains shock and impulse noise in the noise increase the risk of hearing loss.However,there is no accepted method to describe the large amount of non-Gaussian noise found in industry.In addition to the equivalent sound pressure level,spectrum,and exposure time,factors such as the histogram of the peak noise level,the time interval of the peak,and the duration of the pulse need to be taken into account,which makes complex noise difficult to quantify or characterize.The evaluation of complex noise with Kurtosis was originally proposed by Erdreich.The kurtosis ? can reflect the degree to which the distribution of random variables deviates from the Gaussian distribution.The dose-response relationship of the hearing loss caused by complex noise in the application of kurtosis in the human population remains to be further verified.Therefore,this paper discusses the evaluation of complex noise from the following aspects:1)Using the newly acquired data source,we verified the effectiveness of kurtosis in assessing hearing loss due to complex noise.It is proved once again that in addition to the energy scale,kurtosis can be used as an auxiliary parameter to supplement the energy hypothesis that only the limitations of Gaussian noise are applicable.2)In view of the non-uniqueness of kurtosis to noise description,this paper will discuss the choice of kurtosis value from two aspects:the distribution of kurtosis mostly obeys the lognormal distribution,and the use of kurtosis mean instead of the median reflects better The harm of complex noise to the hearing of the human ear;experimental results show that the kurtosis mean is related to the calculated window length(statistical data length).3)In order to be able to overcome the deficiencies of the kurtosis index and effectively distinguish the complex noises,we use the Quantile-Quantile Plot to estimate the two bases on the residual maximum and the sum of squared residuals.New indicator.4)Experiments and statistical analysis show that the new index can effectively avoid the fluctuation caused by the length of the calculation window,and the new index has a strong correlation with kurtosis,which is an ideal index for evaluating complex noise.