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Study on performance of gas-liquid extinguishing agent for lithium iron phosphate battery modules 磷酸铁锂电池组件气液灭火剂性能研究
Pub Date : 2020-03-28 DOI: 10.16265/J.CNKI.ISSN1003-3033.2020.03.009
H. Qiang, Tao Fengbo, Liu Yang, Sun Lei, Niu Zhiyuan, Jin Yang
In order to study performance of different extinguishing agents for energy storage battery modulesꎬ an energy storage cabin test platform was built. With lithium iron phosphate energy storage battery module of 8􀆰 8 kWh as research objectꎬ fire was induced by thermal runaway from 0􀆰 5 C rate constant current overchargeꎬ and experiments were conducted to compare performance of four fire ̄ extinguishing agentsꎬ including medium ̄pressure water mistꎬ Novec1230ꎬ heptafluoropropane and hexafluoropropane. The results show that hexafluoropropane can not extinguish battery fire within a short time while Novec1230 and heptafluoropropane can extinguish it quickly but can not cool it effectively with a tendency to reigniteꎬ all of which are not suitable to be fire extinguishing agent for lithium iron phosphate battery modules. Howeverꎬ medium ̄pressure water mist can quickly extinguish fire and prevent re ̄ignition with its continuous injectionꎬ thus making an ideal fire extinguishing material.
为了研究不同灭火剂对储能电池模块的性能ꎬ,搭建了储能舱试验平台。以8􀆰8 kWh磷酸铁锂储能电池模块为研究对象ꎬ以0􀆰5 C速率恒流过充ꎬ为研究对象,对4种灭火剂ꎬ(中压细水雾ꎬNovec1230ꎬ七氟丙烷和六氟丙烷)的灭火性能进行了实验比较。结果表明,六氟丙烷不能在短时间内扑灭电池火灾,而Novec1230和七氟丙烷可以快速扑灭,但不能有效冷却,有重燃倾向ꎬ,不适合作为磷酸铁锂电池组件的灭火剂。但ꎬ中压细水雾能快速灭火,连续喷射防止重燃ꎬ,是理想的灭火材料。
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引用次数: 0
Dynamic vehicle speed control model of edge rate in long tunnel sections 隧道长断面边率车辆动态速度控制模型
Pub Date : 2020-03-28 DOI: 10.16265/J.CNKI.ISSN1003-3033.2020.03.019
Z. Can, Wang Hong, LU Hua, Zhu Shunying, Xiao Wenbin
Currentlyꎬ when static edge rate is used for vehicle speed controlꎬ cycle length of edge rate period and total length of pavement corresponding to all vehicle speeds are fixedꎬ so it is not well ̄targeted and achieves no obvious effects in speed reduction. In order to make up for this defectꎬ a dynamic speed control edge rate model for tunnel segment was established with minimum vehicle speed dispersion as objective function based on the positive correlation between accident rate and vehicle speed dispersion. Thenꎬ speed control system of dynamic edge rate was installed in central section of long tunnel on expressways for intelligent linkage studies between dynamic edge rate and traffic flow. Finallyꎬ vehicle speeds with or without control system of dynamic edge rate were compared and analyzed. The results show that speed control system based on dynamic edge rate model for tunnel sections can effectively control it with overspeed ratio decreasing by 16􀆰 69%ꎬ 85 percentile speedꎬ average speed and speed standard deviation decrease by 6􀆰 67%ꎬ 7􀆰 96% and 13􀆰 45% respectivelyꎬ and its control effect is more remarkable than that of static edge rate.
目前ꎬ采用静态边率进行车速控制时ꎬ边率周期周期长度和所有车速对应的路面总长度都是固定的ꎬ,针对性不强,减速效果不明显。为了弥补这一缺陷ꎬ基于事故率与车速弥散的正相关关系,以车速弥散最小为目标函数,建立了隧道段动态速度控制边率模型。在高速公路长隧道中段安装了ꎬ动态边率速度控制系统,进行动态边率与交通流的智能联动研究。最后ꎬ对有无动态边缘率控制系统的车速进行了比较和分析。结果表明,基于动态边率模型的隧道断面速度控制系统能有效控制隧道断面速度,超速比降低16􀆰69%ꎬ85百分位速度ꎬ平均速度和速度标准差分别降低6􀆰67%ꎬ7􀆰96%和13􀆰45%ꎬ,其控制效果比静态边率控制效果更显著。
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引用次数: 1
Immersion acoustic positioning method of corrosion for large tank bottom plate 大型罐底板腐蚀的浸没声定位方法
Pub Date : 2020-03-28 DOI: 10.16265/J.CNKI.ISSN1003-3033.2020.03.006
Zhang Ying, Zhang Xiao, Zhu Zidong, Dang Na, C. Xiaolong
In order to avoid detection dead zone in corrosion detection of large ̄scale storage tank floorꎬ an immersion acoustic method is proposedꎬ of which locating corrosion sound source is a key. Based on a passive source localization algorithm featuring time delay estimation and considering characteristics of immersed acoustic detection of tank floorꎬ a mobile planar five ̄element cross array acoustic method was applied to simulate positioning of bottom plate and verify the test. The results show that this method meets the requirement of corrosion detection in accuracy of direction finding and distance measurement. Direction finding accuracy is not affected by sound source angle φ and distance r while distance accuracy is only positively related to r and independent of φ. With the fitting relationship between relative error of distance and r obtained from experimentꎬ the maximum effective radius of immersed acoustic detecting unit can be 中 国 安 全 科 学 学 报 China Safety Science Journal 第30卷 2020年 determined.
为避免大型储罐底板腐蚀检测中的检测死区ꎬ,提出了一种以定位腐蚀声源为关键的浸泡声检测方法ꎬ。基于一种基于时延估计的被动源定位算法,结合坦克底板浸没声探测的特点ꎬ,采用移动平面五元交叉阵声学方法模拟底板定位并进行试验验证。结果表明,该方法在测向精度和测距精度上满足腐蚀检测的要求。测向精度不受声源角φ和距离r的影响,距离精度仅与r呈正相关,与φ无关。根据实验得到的距离相对误差与r的拟合关系ꎬ可确定沉声探测单元的最大有效半径为《中国安全科学学报》第30期。
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引用次数: 0
Measurement of stress-relief zone width of roadway by borehole gas continuous flow method 用钻孔瓦斯连续流法测量巷道应力消除带宽度
Pub Date : 2020-03-28 DOI: 10.16265/J.CNKI.ISSN1003-3033.2020.03.013
Tian Shixiang, MA Ruishuai, Zou Yihuai, Xu Shiqing, Li Huaying, Yu Zhaoyang
In order to accurately measure the width of stress ̄relief zone ahead of roadway working faceꎬ borehole gas continuous flow method was proposed based on the relationship between gas flow discharged from coals and in ̄suit stressꎬ and its feasibility was verified theoretically. Thenꎬ borehole gas flow was measured in 2303 ventilating roadway of Xuehu coal mine by using outburst prediction device. The results show that gas flow increases first and then decreases with its peak being the boundary of stress ̄relief zoneꎬ and the width of the zone ahead of working face is determined to be 9 10 meter. Meanwhileꎬ that measured by using drillings amount and drillings gas absorption index Δh2 is 9􀆰 5-10 meterꎬ consistent with results of borehole gas continuous flow methodꎬ therefore verifying its reliability in determining width of stress ̄relief zone.
为了准确测量巷道工作面前方应力卸除带宽度ꎬ根据煤层瓦斯涌出量与煤层应力的关系,提出了钻孔瓦斯连续流动法ꎬ,并从理论上验证了其可行性。利用突出预测装置对雪湖煤矿2303通风巷道ꎬ钻孔瓦斯流量进行了测量。结果表明:瓦斯流量先增大后减小,峰值为卸压带边界ꎬ,确定工作面前方卸压带宽度为9 ~ 10 m;同时,利用钻孔量和钻孔气体吸收指数Δh2测得的ꎬ值为9􀆰5-10 mꎬ与钻孔气体连续流动法测得的结果一致ꎬ,验证了其确定应力释放带宽度的可靠性。
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引用次数: 0
A PCA-LSTM neural network-integrated method for phreatic line prediction 一种PCA-LSTM神经网络集成的潜水线预测方法
Pub Date : 2020-03-28 DOI: 10.16265/J.CNKI.ISSN1003-3033.2020.03.015
Dai Jianfei, Yang Peng, Z. Liyi, Guo Pan, Guan Huaiguang
In order to prevent dam ̄breaking accidents of tailings pondsꎬ to excavate effective information of online monitoring system and improve prediction accuracy of phreatic linesꎬ a prediction model was set up based on PCA and LSTM neural network. Thenꎬ with Chenkeng tailings pond as an exampleꎬ Pearson correlation coefficient and variable combination method were introduced to determine 18 features of model inputsꎬ including location of phreatic line of measuring point in the first three daysꎬ location of two adjacent surrounding saturation linesꎬ water level of pondsꎬ longitudinal displacement of dam body and rainfall. Finallyꎬ PCA was used to eliminate data redundancy between input variablesꎬ and LSTM neural 第 3 期 戴健非等: 集成 PCA 和 LSTM 神经网络的浸润线预测方法 network was applied to predict location of phreatic line for the next three days. The results show that PCA ̄ LSTM neural network ̄based method presents higher predication accuracy with an average absolute error of 0􀆰 011 and a decision coefficient of 0􀆰 805. And it can achieve stable prediction of phreatic lines for tailings ponds under different rainfall conditions.
为防止尾矿库溃坝事故ꎬ,挖掘在线监测系统的有效信息,提高潜流线预测精度ꎬ,建立了基于PCA和LSTM神经网络的潜流线预测模型。然后ꎬ以陈坑尾矿库为例ꎬ引入Pearson相关系数和变量组合法,确定模型输入的18个特征ꎬ包括前三天测点浸润线位置ꎬ相邻的两条周边饱和线位置ꎬ库水位ꎬ坝体纵向位移和降雨量。最后利用ꎬ主成分分析法消除输入变量之间的数据冗余ꎬ,并利用LSTM神经网络预测未来三天的浸润线位置。结果表明,基于PCA的LSTM神经网络预测精度较高,平均绝对误差为0􀆰011,决策系数为0􀆰805。并可实现不同降雨条件下尾矿库潜流线的稳定预测。
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引用次数: 2
Effect of cooling vest on heat and humidity transfer of stab-resistant body armor 冷却背心对防弹衣热湿传递的影响
Pub Date : 2020-03-28 DOI: 10.16265/J.CNKI.ISSN1003-3033.2020.03.027
Li Nan, Chang Suqin, Guo Zerong, HE Jingjie, Y. Mengqi
In order to quantitatively study the heat and moisture transfer performance of SRBA and improve the thermal comfort of SRBAꎬ a thermal manikin was used to measure and analyze thermal insulation and evaporative resistance of cooling vestꎬ SRBA and both stacks at different temperatures (25ꎬ 30ꎬ 40 °C) and humidity (40%ꎬ 55%ꎬ 70%). It is found that the thermal insulation changes at the three temperatures measured as SRBA> both stacks > cooling vestꎬ and the evaporative resistance follows this characteristic above 30 °Cꎬ that the higher the temperature isꎬ the greater the effect of the cooling vest on the heat transfer efficiency of the SRBA will beꎬ and that the thermal insulation can be reduced by up to 46􀆰 75% and the evaporative resistance can be reduced up to 82􀆰 97%. The results show that at higher ambient temperature ( > 30 °C)ꎬ the cooling vest can effectively reduce the thermal insulation and evaporative resistance of the SRBA and improve the heat and moisture transfer efficiencyꎬ and that the influence of the cooling vest on the heat and moisture transfer of the SRBA changes with the ambient temperatureꎬ humidity and design characteristics.
为了定量研究SRBA的热湿传递性能,提高SRBA的热舒适性ꎬ,采用热人体模型对不同温度(25ꎬ30ꎬ40°C)和湿度(40%ꎬ55%ꎬ70%)下的冷却背心ꎬ和两层SRBA的绝热性和蒸发阻力进行了测量和分析。结果表明,在SRBA>两堆>冷却背心ꎬ的三个温度下,绝热性能的变化规律为:在30℃以上,蒸发阻力的变化规律为:ꎬ温度越高,ꎬ冷却背心对SRBA换热效率的影响越大,ꎬ绝热性能可降低46􀆰75%,蒸发阻力可降低82􀆰97%。结果表明:在较高的环境温度下(> 30℃)ꎬ冷却背心能有效降低SRBA的绝热性和蒸发阻力,提高热湿传递效率ꎬ,冷却背心对SRBA热湿传递的影响随环境温度ꎬ湿度和设计特性的变化而变化。
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引用次数: 0
Effect of SDBS of different mass fractions on coal's wettability by molecular simulation 不同质量分数的SDBS对煤润湿性的影响
Pub Date : 2020-03-28 DOI: 10.16265/J.CNKI.ISSN1003-3033.2020.03.004
Li Shugang, Guo Doudou, Baixue Yang, Yan Min, Lin Haifei, Shi Yu
In order to study effects of surfactant on coal ' s wettabilityꎬ with SDBS taken as research objectꎬ Wiser coal chemical structure model and Material Studio molecular simulation software were used to establish a system where SDBS of six different mass fractions coexisted with water and coal. Thenꎬ the system' s adsorption configurationꎬ energy changesꎬ relative concentration distribution as well as mean square displacement (MSD) of water molecules were analyzed. The results show that hydrophobic alkyl chains of SDBS molecules are adsorbed on coal surfaceꎬ and hydrophilic group with benzene ring warps to water phaseꎬ which reduces liquid ̄solid interfacial tension of water and coal. As mass fraction of SDBS 中 国 安 全 科 学 学 报 China Safety Science Journal 第30卷 2020年 increasesꎬ the system's total energy decreasesꎬ but interaction energy between SDBS and coal increasesꎬ indicating that adsorption between molecules is more stable and wettability is enhanced. Spatial distribution difference of hydrophobic alkyl chains of SDBS molecules is one of the main factors affecting wettability. Diffusion coefficient of water molecules increases along with the growth of SDBS mass fractionꎬ which has a significant effect on wettability of coal.
为了研究表面活性剂对煤润湿性的影响ꎬ以SDBS为研究对象ꎬ采用Wiser煤化学结构模型和Material Studio分子模拟软件建立了6种不同质量分数的SDBS与水、煤共存的体系。然后分析ꎬ体系的吸附构型ꎬ能量变化ꎬ相对浓度分布及水分子的均方位移(MSD)。结果表明:SDBS分子的疏水烷基链吸附在煤表面ꎬ,亲水基团的苯环弯曲吸附在水相ꎬ,降低了水煤的液固界面张力。随着SDBS质量分数的增加ꎬ,体系总能量降低ꎬ,但SDBS与煤的相互作用能增加ꎬ,表明分子间吸附更加稳定,润湿性增强。SDBS分子疏水烷基链的空间分布差异是影响其润湿性的主要因素之一。水分子的扩散系数随着SDBS质量分数ꎬ的增大而增大,对煤的润湿性有显著影响。
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引用次数: 4
Health risk assessment caused by productive dust in coal-fired power plants 燃煤电厂生产粉尘的健康风险评价
Pub Date : 2020-02-28 DOI: 10.16265/J.CNKI.ISSN1003-3033.2020.02.024
XU Surui
In order to evaluate occupational health risks caused by productive dust in coal-fired power plants, dust exposure of first-line operators in such plants was explored, and their health risks from exposure to different types of dust were assessed quantitatively by using Monte Carlo simulation method, probability risk assessment and health damage analysis method. The results show that among all occupations, ash removal and slag removal of boiler unit are exposed to the greatest health risk while boiler inspection and desulfurization inspection to minimal risk, and belt inspection and ash removal operators are faced with maximum damage to health. It is also found that body weight (BW) and average time (AT) have negative sensitivity, and parameters which have great impacts on average employee health rank as AT, exposure duration (ED), dust concentration, inhalation rate (IR) and exposure time (ET) in turn.
为评价燃煤电厂生产性粉尘的职业健康风险,研究了燃煤电厂一线操作人员的粉尘暴露情况,采用蒙特卡罗模拟法、概率风险评估法和健康损害分析法对不同类型粉尘暴露的健康风险进行了定量评价。结果表明,在所有职业中,锅炉机组除灰和除渣人员的健康风险最大,锅炉检查和脱硫检查人员的健康风险最小,皮带检查和除灰人员的健康损害最大。体重(BW)和平均时间(AT)具有负敏感性,对员工平均健康等级影响较大的参数依次为暴露时间(ED)、粉尘浓度、吸入率(IR)和暴露时间(ET)。
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引用次数: 1
Risk analysis of gas storage separator based on RBI technology 基于RBI技术的储气分离器风险分析
Pub Date : 2020-02-28 DOI: 10.16265/J.CNKI.ISSN1003-3033.2020.02.004
Wang Jinjiang, Wang Shuhui, Z. Xing, Zhang Laibin
In order to cope with increasingly complex technological process of gas storage separators and larger process equipment, risk analysis of gas storage separators is conducted based on RBI technology. Firstly, by collecting and integrating multi-source heterogeneous data such as equipment parameters, operating parameters, and environmental parameter, a separator failure model was constructed, its failure probability and area of failure consequences were calculated, and its risk was ranked so as to establish inspection cycle and inspection measures. Then, computer-aided software was developed based on RBI method by using advanced sensing technology and big data analysis technology. The results show that with real-time acquisition and processing of operating data, RBI risk analysis results can achieve both accuracy and automation, thus improving safety management in gas storage station.
为了应对日益复杂的储气分离器工艺流程和更大的工艺设备,基于RBI技术对储气分离器进行风险分析。首先,通过收集和整合设备参数、运行参数、环境参数等多源异构数据,构建分离机失效模型,计算其失效概率和失效后果范围,并对其进行风险排序,从而建立检测周期和检测措施;然后,利用先进的传感技术和大数据分析技术,开发基于RBI方法的计算机辅助软件。结果表明,通过对运行数据的实时采集和处理,RBI风险分析结果可以实现准确性和自动化,从而提高储气站的安全管理水平。
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引用次数: 0
Helmet-wearing detection considering human joint 考虑人体关节的头盔检测
Pub Date : 2020-02-28 DOI: 10.16265/J.CNKI.ISSN1003-3033.2020.02.028
Zhang Bo, Song Yuanbin, Xiong Ruoxin, Z. Shichao
In order to address flaws of existing helmet-wearing detection model, such as its requirement of large sample data and inclination to false detection, a new detection model was proposed that combined human joint detection and Faster R-CNN. Then, OpenPose was utilized to locate positions of head and neck joints, and sub-image of small areas near helmet was extracted before it was detected with Faster R-CNN. Finally, spatial relationship between helmet and head / neck joints were analyzed to further verify whether it was worn correctly. The results show that this enhanced method can reduce error rate and improve its environmental adaptation effectively. And even with small sample data, its recall rate increases by more than 20% and detection accuracy by approximately 10%, significantly reducing demand on samples.
针对现有头盔检测模型对大样本数据的要求和容易误检等缺陷,提出了一种将人体关节检测与Faster R-CNN相结合的新型头盔检测模型。然后利用OpenPose定位头颈部关节位置,提取头盔附近小区域子图像,再用Faster R-CNN进行检测。最后分析头盔与头颈部关节的空间关系,进一步验证头盔佩戴是否正确。结果表明,该方法能有效降低错误率,提高环境适应性。即使在小样本数据下,其召回率也提高了20%以上,检测准确率提高了约10%,显著降低了对样本的需求。
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引用次数: 4
期刊
中国安全科学学报
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