噪声是影响煤矿企业安全生产的主要职业危害因素之一，在生产作业过程中，综采工作面噪声强度大、源头广，为降低过度噪声造成的人员伤残和重大经济损失，研究作业人员噪声职业健康损害评估模型，对煤矿企业安全生产管理具有重要意义。本研究以陕煤集团X煤矿14209综采工作面为研究对象，采用现场实测、理论分析及数值模拟方法构建了噪声职业健康损害评估模型，并设计实现噪声健康损害评估系统，量化了职业噪声对综采作业人员健康状况的影响，得到的研究结论如下：

（1）分析综采工作面噪声源并确定噪声作业岗位，依据现场检测方案的噪声测定结果，采煤机司机、乳化泵工、破碎机司机遭受着高强度的噪声危害，超前支护工及皮带机司机所受危害相对较小，综采作业期间噪声频率在2 kHz~9 kHz之间，噪声声压级主要保持在75 dB~100 dB。

（2）从人-机-环-管出发，分析噪声职业健康损害影响因素，探究了不同巷道因素对接噪岗位声场分布的影响，并进一步系统建立包含22个二级指标的噪声健康损害评估指标体系，经Fisher Score、最大信息数及近似马尔科夫毯进行特征选择后，筛选出岗位类别及个体年龄等9个特征作为健康损害评估关键影响因素。

（3）基于GBDT及t-SSA-BP算法构建噪声健康损害评估模型，分别对作业人员职业健康风险及健康损害状况展开预测。GBDT算法健康风险分类准确率为97.5%，经比较，几种健康风险模型预测准确率次序为：GBDT > GA-RF > PSO-LSSVM > RF > SVM >决策树；t-SSA-BP模型对健康损害状况预测R²达0.999，几种健康损害预测模型预测精度次序为：t-SSA-BP > SSA-BP > PSO-BP > CFA-PSO-RBF > PSO-GRNN。

（4）基于B/S架构开发噪声职业健康损害评估系统，通过软件测试验证了评估系统安全可靠，依据15208综采工作面作业人员健康损害状况系统评价结果，工作面作业人员整体健康风险较低，主要为可接受风险和潜在风险，无严重健康风险，并从噪声源、声音传播途径、噪声接收者及企业政府管理四方面提出防治措施，改善矿工噪声职业健康损害现状，降低听力损失发生率。

本研究通过对综采工作面健康损害评估模型的探究，提供了精准量化矿工听力健康损害的新思路，为实现煤矿企业职工健康管理高效化提供了理论基础研究。

Noise is one of the main occupational hazard factors affecting the safety production of coal mine enterprises. In the process of production operation, the noise intensity of fully mechanized mining face is large and the source is wide. In order to reduce the personnel disability and major economic losses caused by excessive noise, it is of great significance to study the occupational health damage assessment model of workers' noise for the safety production management of coal mine enterprises. In this study, 14209 fully mechanized mining face of X coal mine was taken as the research object, and the health damage assessment model was constructed by field measurement, theoretical analysis and numerical simulation. The health damage assessment system was designed and implemented, and the influence of occupational noise on the health status of fully mechanized mining workers was quantified. The conclusions are as follows:

(1) Analyze the noise source and noise operation position of the fully mechanized mining face. According to the noise measurement results of the on-site detection scheme, the driver of the shearer, the emulsification pump worker, and the driver of the crusher suffer from high-intensity noise hazards. The harm of the advanced support worker and the belt driver is relatively small. During the fully mechanized mining operation, the noise frequency is between 2 kHz~9 kHz, the noise sound level is mainly maintained at 75 dB~100 dB.

(2) From the perspective of human-machine-environment-management, the influencing factors of noise occupational health damage are analyzed, and the influence of different roadway factors on the sound field distribution of noise posts is explored, a system of assessment index of noise health damage including 22 second-level indicators is further established. After feature selection by Fisher Score, maximum information number and approximate Markov blanket. Nine characteristics such as job category and individual age are selected as the key influencing factors of health damage assessment.

(3) Based on GBDT and t-SSA-BP algorithm, a noise health damage assessment model is constructed to predict the noise occupational health risk and health damage status of workers. The accuracy of health risk classification of GBDT algorithm is 97.5%, by comparison, the order of prediction accuracy of several health risk models is GBDT > GA-RF > PSO-LSSVM > RF > SVM > decision tree. The t-SSA-BP model predicts the health damage status with R² of 0.999. The order of prediction accuracy of several health damage prediction models is: t-SSA-BP > SSA-BP > PSO-BP > CFA-PSO-RBF > PSO-GRNN.

(4) Based on the B/S architecture, the noise occupational health damage assessment system is developed, and the safety and reliability of the assessment system are verified by software testing. According to the system evaluation results of the health damage status of the workers in the 15208 fully mechanized mining face, the overall health risk of the workers in the working face is low, mainly acceptable risk and potential risk, without serious health risk. The prevention and control measures are put forward from four aspects: noise source, sound transmission route, noise receiver and enterprise government management, so as to improve the current situation of noise occupational health damage of miners and reduce the incidence of hearing loss.

Through the exploration of the health damage assessment model of fully mechanized mining face, this study provides a new idea for accurately quantifying the health damage of miners' hearing, and provides a theoretical basis for realizing the high efficiency of health management of employees in coal mine enterprises.

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