深井受限空间物理实验系统研发与安全人因参数实验研究
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摘要
摘要：深井开采实际上是在一个受限空间内作业。深井采矿作业面恶劣环境条件会对人体的生理健康和工作效率产生重大的影响,并影响到人体的安全行为。随着浅部资源的枯竭,我国矿山逐步进入到深部开采,因此,研究深井开采作业面的安全与环境问题意义重大。由于在深井现场开展研究极为困难和受到条件限制,如果能对深井受限空间作业环境进行物理模拟仿真,在地面开展相关实验来研究其对人体生理和工作效率的影响规律等,则可以避免井下的不利条件和收到更好的效果。
本文在检索国内外相关研究成果的基础上,采用理论分析、环境物理模拟仿真与室内模拟实验结合的研究手段,来系统研究深井受限空间恶劣环境对人体生理和工作效率的单独和复合影响。论文的主要研究内容和取得的成果如下：
(1)基于安全科学与生理学学科体系内容,提出了安全生理学原理定义理论,阐述了其研究对象和内涵。对安全生理学原理划分了5条下属二级原理,包括安全生理需求原理、安全生理感知原理、安全生理反馈原理、安全生理稳态原理和安全生理作业效能原理,并对各下属原理的研究内容和之间的逻辑关系进行了探讨分析。最后研究分析了安全生理学原理在人体安全行为过程中的应用机理、对安全的影响和实际意义。
(2)创建了安全工程原理理论体系,基于矿井工作环境特点,根据安全工程原理的要求设计研发了深井受限空间环境与安全人工智能仿真实验系统装备,在地面真正实现了对井下环境条件的真实物理模拟。环境模拟装备能对矿井温度、湿度、噪声、照明度、气压、风速、粉尘、有毒有害气体进行仿真模拟,并设计有人体生理参数测试系统,利于研究各环境因素对人体生理参数的影响。该实验系统装备拥有先进的自动化操作和监测监控技术,可以系统地开展一系列实验来探讨研究深井受限空间恶劣作业环境与人体生理健康、工作效率及安全行为之间的作用联系。
(3)利用模糊数学理论对深井受限空间环境与安全人工智能仿真实验系统装备的可靠性进行分析,建立实验系统的故障模式与影响分析(FMEA)表,并划分了故障模式危害度,对实验装备系统内的各种仪器设备的故障模式进行多层次模糊综合评判,最终得到各种故障模式对系统可靠性影响大小的排序结果,为提高系统的可靠性提供了依据。
(4)在深井受限空间环境与安全人工智能仿真实验系统中开展单因素对人体的影响实验,对深井的温度、湿度、噪声和照明度环境条件进行物理仿真模拟,选取血压、心率、呼吸率、体温、疲劳度、注意力、记忆力、反应速度为人体生理和工作效率响应评价指标,通过人体在特殊的设定环境下进行劳动模拟测试,探索人体生理指标和工作效率指标在深井受限空间恶劣环境中的变化规律,同时确定单因素拟合公式,分析了各评价指标与各个环境因素之间的定量关系。
(5)采用正交设计理论,开展深井受限空间温度、湿度、噪声和照明4中恶劣环境对人体复合影响的正交实验,在单因素影响实验结果的基础上,运用SPSS统计软件对正交数据进行分析,得到人体生理和劳动效率各评价指标相对于恶劣环境因素的复合影响拟合公式,并对数学预测模型的准确性进行了验证分析,揭示了人体各评价指标与环境因素之间的数量关系。
Abstract:A series of safety and environmental issues will be induced in the process of production of deep confined space of mines.Severe environment has great impact on the physical health of human body and work efficiency, thus affects the safety of human behavior.With the continuous mining of shallow resources,the mines of our country are into the deep mining gradually.The environment problem of confined space of mines has become serious increasingly in the process of deep mining. Severe environment factors make human body generate physical discomfort, which affects safety of production.Therefore,the physical simulation of the working environment in deep confined space of mines and carrying out relevant tests to study the effect of severe environment on human physiology and working efficiency,have important theoretical significance and practical application value to prevent occupational hazards and ensure the safety of production.
On the basis of reviewing the relevant research results at home and abroad,with theoretical analysis,physical simulation and indoor simulation tests,the single and composite effect of severe environment of deep confined space in mines on human physiology and working efficiency is studied systematically.The main contents and achievements of the thesis are as follows:
(1)Based on the contents of safety science and physiology discipline, the definition of safety physiology principle was proposed, and the research objects and connotation of safe physiology principle were discussed.Five subordinate principles of safety physiology were concluded, which were the demand principle of safety physiology, the perception principle of safety physiology, the feedback principle of safety physiology, the steady state principle of safety physiology and operation efficiency principle of safety physiology.And the research contents and logical relationship of these five second principles were analyzed.Finally, the application mechanism, the impact on the safety and practical significance of safety physiology principles in the process of human safety behavior were analyzed.
(2)The theory system of safety engineering principle was created. Based on the characteristics of the working environment of mines, according to the requirement of the safety engineering principles,the artificial intelligence equipment for simulation of the environment and safety conditions in deep confined space of mines was designed and made, realizing the physical simulation of environment condition in mines on the ground.The equipment can be used to simulate various environmental factors such as temperature,humidity, noise, illumination,air pressure, wind speed, dust, toxic and harmful gases,et al.And the equipment has human parameters measuring sub-system to study the effect of various environment factors on human physiology.The experiment system is equipped with advanced automation and monitoring technology, and can carry out a series of experiments systematically to discuss the relationship between severe environment of deep confined space of mines and human physiological health, working efficiency and safety behavior.
(3)The reliability of the artificial intelligence equipment for simulation of the environment and safety conditions in deep confined space of mines was analyzed with fuzzy mathematics theory.A FMEA table of the experiment system is established, and the harm degrees of failure mode were divided.The failure modes of various instruments equipment of experiment system were analyzed with multilevel fuzzy comprehensive evaluation, and the sorting result of the impact of various failure modes on the system reliability is obtained, providing the basis to improve the reliability of the system.
(4)The test of the single factor effect on human was carried out in the artificial intelligence equipment for simulation of the environment and safety conditions in deep confined space of mines,and the environmental conditions of temperature, humidity, noise,illumination in mines were simulated physically.Blood pressure,heart rate,respiratory rate, body temperature were selected as human physiological indicators.Fatigue, attention,memory, reaction speed were selected as working efficiency indicators.Through the simulation test of labor in special setting environment, the changing rules of human physiological indicators and working efficiency indicators were discussed, and the fitting formulas were determined to analyze the quantitative relationship between each indicator and environment factor.
(5) Orthogonal theory was used to design the test of the composite effect of temperature, humidity, noise, illumination in deep confined spaces of mines on human. On the basis of the result of single factor effect test the orthogonal data was analyzed with SPSS statistical software, and the fitting formulas of human physiological indicators and working efficiency indicators to severe environment factors were obtained. The accuracy of the mathematics prediction model was verified and the quantitative relation between human indicators and the environmental factors was revealed.
本文在检索国内外相关研究成果的基础上,采用理论分析、环境物理模拟仿真与室内模拟实验结合的研究手段,来系统研究深井受限空间恶劣环境对人体生理和工作效率的单独和复合影响。论文的主要研究内容和取得的成果如下：
(1)基于安全科学与生理学学科体系内容,提出了安全生理学原理定义理论,阐述了其研究对象和内涵。对安全生理学原理划分了5条下属二级原理,包括安全生理需求原理、安全生理感知原理、安全生理反馈原理、安全生理稳态原理和安全生理作业效能原理,并对各下属原理的研究内容和之间的逻辑关系进行了探讨分析。最后研究分析了安全生理学原理在人体安全行为过程中的应用机理、对安全的影响和实际意义。
(2)创建了安全工程原理理论体系,基于矿井工作环境特点,根据安全工程原理的要求设计研发了深井受限空间环境与安全人工智能仿真实验系统装备,在地面真正实现了对井下环境条件的真实物理模拟。环境模拟装备能对矿井温度、湿度、噪声、照明度、气压、风速、粉尘、有毒有害气体进行仿真模拟,并设计有人体生理参数测试系统,利于研究各环境因素对人体生理参数的影响。该实验系统装备拥有先进的自动化操作和监测监控技术,可以系统地开展一系列实验来探讨研究深井受限空间恶劣作业环境与人体生理健康、工作效率及安全行为之间的作用联系。
(3)利用模糊数学理论对深井受限空间环境与安全人工智能仿真实验系统装备的可靠性进行分析,建立实验系统的故障模式与影响分析(FMEA)表,并划分了故障模式危害度,对实验装备系统内的各种仪器设备的故障模式进行多层次模糊综合评判,最终得到各种故障模式对系统可靠性影响大小的排序结果,为提高系统的可靠性提供了依据。
(4)在深井受限空间环境与安全人工智能仿真实验系统中开展单因素对人体的影响实验,对深井的温度、湿度、噪声和照明度环境条件进行物理仿真模拟,选取血压、心率、呼吸率、体温、疲劳度、注意力、记忆力、反应速度为人体生理和工作效率响应评价指标,通过人体在特殊的设定环境下进行劳动模拟测试,探索人体生理指标和工作效率指标在深井受限空间恶劣环境中的变化规律,同时确定单因素拟合公式,分析了各评价指标与各个环境因素之间的定量关系。
(5)采用正交设计理论,开展深井受限空间温度、湿度、噪声和照明4中恶劣环境对人体复合影响的正交实验,在单因素影响实验结果的基础上,运用SPSS统计软件对正交数据进行分析,得到人体生理和劳动效率各评价指标相对于恶劣环境因素的复合影响拟合公式,并对数学预测模型的准确性进行了验证分析,揭示了人体各评价指标与环境因素之间的数量关系。
Abstract:A series of safety and environmental issues will be induced in the process of production of deep confined space of mines.Severe environment has great impact on the physical health of human body and work efficiency, thus affects the safety of human behavior.With the continuous mining of shallow resources,the mines of our country are into the deep mining gradually.The environment problem of confined space of mines has become serious increasingly in the process of deep mining. Severe environment factors make human body generate physical discomfort, which affects safety of production.Therefore,the physical simulation of the working environment in deep confined space of mines and carrying out relevant tests to study the effect of severe environment on human physiology and working efficiency,have important theoretical significance and practical application value to prevent occupational hazards and ensure the safety of production.
On the basis of reviewing the relevant research results at home and abroad,with theoretical analysis,physical simulation and indoor simulation tests,the single and composite effect of severe environment of deep confined space in mines on human physiology and working efficiency is studied systematically.The main contents and achievements of the thesis are as follows:
(1)Based on the contents of safety science and physiology discipline, the definition of safety physiology principle was proposed, and the research objects and connotation of safe physiology principle were discussed.Five subordinate principles of safety physiology were concluded, which were the demand principle of safety physiology, the perception principle of safety physiology, the feedback principle of safety physiology, the steady state principle of safety physiology and operation efficiency principle of safety physiology.And the research contents and logical relationship of these five second principles were analyzed.Finally, the application mechanism, the impact on the safety and practical significance of safety physiology principles in the process of human safety behavior were analyzed.
(2)The theory system of safety engineering principle was created. Based on the characteristics of the working environment of mines, according to the requirement of the safety engineering principles,the artificial intelligence equipment for simulation of the environment and safety conditions in deep confined space of mines was designed and made, realizing the physical simulation of environment condition in mines on the ground.The equipment can be used to simulate various environmental factors such as temperature,humidity, noise, illumination,air pressure, wind speed, dust, toxic and harmful gases,et al.And the equipment has human parameters measuring sub-system to study the effect of various environment factors on human physiology.The experiment system is equipped with advanced automation and monitoring technology, and can carry out a series of experiments systematically to discuss the relationship between severe environment of deep confined space of mines and human physiological health, working efficiency and safety behavior.
(3)The reliability of the artificial intelligence equipment for simulation of the environment and safety conditions in deep confined space of mines was analyzed with fuzzy mathematics theory.A FMEA table of the experiment system is established, and the harm degrees of failure mode were divided.The failure modes of various instruments equipment of experiment system were analyzed with multilevel fuzzy comprehensive evaluation, and the sorting result of the impact of various failure modes on the system reliability is obtained, providing the basis to improve the reliability of the system.
(4)The test of the single factor effect on human was carried out in the artificial intelligence equipment for simulation of the environment and safety conditions in deep confined space of mines,and the environmental conditions of temperature, humidity, noise,illumination in mines were simulated physically.Blood pressure,heart rate,respiratory rate, body temperature were selected as human physiological indicators.Fatigue, attention,memory, reaction speed were selected as working efficiency indicators.Through the simulation test of labor in special setting environment, the changing rules of human physiological indicators and working efficiency indicators were discussed, and the fitting formulas were determined to analyze the quantitative relationship between each indicator and environment factor.
(5) Orthogonal theory was used to design the test of the composite effect of temperature, humidity, noise, illumination in deep confined spaces of mines on human. On the basis of the result of single factor effect test the orthogonal data was analyzed with SPSS statistical software, and the fitting formulas of human physiological indicators and working efficiency indicators to severe environment factors were obtained. The accuracy of the mathematics prediction model was verified and the quantitative relation between human indicators and the environmental factors was revealed.
引文
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