提高GPS定位精度的群调度滤波算法*

为解决现行安全生产科技领域中全球定位系统（GPS）/惯性导航系统（INS）融合系统容易产生较大时变误差的关键问题，满足GPS定位信号的精度和信号数据处理时间的要求，提出1种群调度滤波算法，通过实验仿真，分别与模糊算法、机器学习算法及卡尔曼滤波网络算法进行比较研究。结果表明:群调度滤波算法兼顾了定位精度与数据处理时间，具有较大优势，可在航空安全、船舶安全、应急监测、灾后抢险等安全科技领域广泛应用。     

基于Landsat 8遥感数据的天津市地表温度反演

以Landsat 8遥感数据为数据源,进行天津市地表温度反演研究。首先采用单通道算法反演地表温度,并利用均值标准差法进行温度分级。然后建立不同温度等级面积比例的估算模型。再通过随机样点,从不同温度等级和土地覆盖类型2个角度,分别建立并比较不同类样点的地表温度与各指数的拟合模型。结果表明:次高温区域面积比例与人口密度、人均GDP都具有较高的决定系数;地表温度与NDVI、BAEM的二元线性回归决定系数高于地表温度与单一指数的决定系数;将样点分类后,低温点与MNDBI的决定系数高于其他温度等级样点,水域和植被样点与各种指数的决定系数高于其他地物类型样点。     

Experimental study on explosion inhibition by heptafluoropropane and its synergy with inert gas

The inhibition effect of heptafluoropropane (CF₃CHFCF₃) on methane explosions under different inhibitor concentrations in a closed vessel was studied. A high-speed camera and a pressure sensor were adopted respectively to record flame propagation characteristics and pressure data. Results indicate that the relationship between flame propagation and pressure rising was correlated. As the equivalent ratio (ϕ)≤1, the pressure presented a trend of rising firstly and then decreasing with increasing CF₃CHFCF₃ concentration, and it was found that there existed a critical concentration for pressure decrease. As ϕ > 1, the pressure exhibited a decreasing trend. Although the pressure appeared to seemingly increase, the moment that the pressure began to rise (t_rise) and the moment that the maximum explosion overpressure appeared (t_Pmax) were obviously delayed. The average rate of pressure rise ((dP/dt)_ave) was decreased as the concentration of CF3CHFCF3 increased. It indicates that CF₃CHFCF₃ can effectively reduce the explosion reaction rate. The critical concentration of CF₃CHFCF₃ for complete inhibition was determined. Meanwhile, the synergy of CF₃CHFCF₃-inert gas can improve the inhibition effect. Compared with CF₃CHFCF₃–N₂, the synergy of CF₃CHFCF₃–CO₂ presented a better inhibition effect, and the inhibition effect was increased with increasing inert gas concentration. And the mechanisms of physical and chemical effects on explosion inhibition were analyzed.     

Experimental and theoretical investigation of dry-water containing phosphoric acid for new fire suppressant

To overcome the shortcomings of phosphorus-containing compounds (PCCs, not widely used) in fire suppression, the dry water powder containing phosphoric acid was analyzed for a new fire suppressant (SiO₂-P). First, the fine conditions (solid-to-liquid ratio, stirring time and stirring speed) were determined to prepare the new powder. The particle size distributions and XPS of SiO₂-P powder were analyzed. The TG tests were conducted to study the decomposition of powder, and there was a major decomposition peak. Second, the extinguishing time of SiO₂-P powder was tested, which showed that the SiO₂-P powder containing phosphorus species could significantly improve the fire suppression ability. In addition, the kinetic parameters of powder decomposition reaction were determined by genetic algorithm based on TG results. Last, based on the decomposition products and kinetic parameters, the burning velocity and mass fraction of free radicals of CH₄/air flame with SiO₂-P powder addition were studied theoretically. The results indicated that SiO₂-P powder had great ability of reducing the burning velocity and scavenging free radicals. Furthermore, the suppression effects were analyzed, which indicated that the cooperation of H₂O and P suppression effect dominated the suppression mechanism and resulted in the good suppression efficiency.     

具有变频器的矿井低压漏电保护研究

为了解决移动变电站低压侧为变频器供电时漏电保护装置误动的问题，提出了基于傅式算法的附加直流原理漏电保护新方法。通过理论分析和MATLAB/Simulink仿真，研究了具有变频器的矿井低压供电系统附加直流原理漏电保护，提出由傅式算法分解出采样电压直流分量以反映电缆绝缘水平的保护方法；同时分析了其他因素对直流分量的影响。研究结果表明:变频器对传统附加直流保护整定值有较大影响，易造成漏电保护装置误动且无法实现电缆的在线绝缘监测；所提出的直流分量法能准确测量电缆对地绝缘电阻，且可消除电缆分布电容、变频器载波频率、变频器输出频率等其他因素的干扰；采用该漏电保护方法，可承受变频器投入时对采样电压造成的较大冲击，不必在启动期间解除漏电保护装置，能够消除在此期间存在的人身触电安全隐患。     

水平管内不同煤质煤尘爆炸火焰传播特性实验研究

为研究水平管道空间不同煤质煤尘爆炸火焰传播特性，选取褐煤、长焰煤、不粘煤、气煤4种煤尘，对爆炸火焰焰峰特性、火焰加速传播特性、火焰传播距离与持续时间展开研究。研究结果表明:褐煤在500 ms内焰峰的形状由尖锐向平滑再向钝化不断演变，长焰煤与不粘煤在375 ms时焰峰前端出现明显焰体分离现象，分析认为这与管体冷壁效应、空间尺度效应及空间氧气消耗直接相关；气煤在375 ms时焰峰出现大面积火焰碎纹，说明气煤爆炸火焰猛烈传播的持续时间相对较短，整体爆炸强度相对较弱；褐煤与长焰煤爆炸火焰存在2次间断性加速，分析认为这与管体空间受限、常温管壁散热、局部助燃氧气瞬间不足等因素有关；褐煤在爆炸后400～600 ms内火焰2次加速完全，火焰传播距离达740 mm，明显大于长焰煤、不粘煤与气煤，说明低变质褐煤爆炸火焰持续时间更长，火焰传播距离更远且传播更剧烈；虽然气煤火焰最远传播距离比长焰煤大30 mm，但由于气煤火焰在375 ms左右出现大片火焰碎纹，因此气煤整体的爆炸强度小于长焰煤。     

AHP与GA-SVM耦合模型在滑坡预警中的应用*

为了减少滑坡造成的损失，提高滑坡预测的准确性，通过搭建灾害模拟平台获得滑坡的实验数据，在获得多组模拟实验数据后，分析各变量的特性。首先，通过层次分析(Analytic Hierarchy Process，AHP)算法，对滑坡进行危险度划分；然后，通过支持向量机(Support Vector Machine，SVM)建立模型，遗传算法(Genetic Algorithm,GA)再优化SVM参数，提出1种层次分析法与GA-SVM相耦合的模型。研究结果表明:AHP方法划分后的数据，通过GA与SVM结合建立的模型精度较好，实验预测结果与实际结果较为吻合，与单一SVM相比，精度更高，结果更好，更加适用于多变量的复杂非线性滑坡预警。     

Large eddy simulation and experimental study of the effect of wire mesh on flame behaviours of methane/air explosions in a semi-confined pipe

Preventing the propagation of flames in a pipeline is an effective measure for avoiding gas explosion accidents and reducing losses. To evaluate the effect of wire mesh, acting as a porous media, experimental and simulation studies are conducted to determine the influence of the wire mesh on the dynamics of premixed methane/air flame propagation in a semi-closed pipe. Four different kinds of wire mesh with different numbers of layers are chosen in the experiments and simulation, and the mechanism of wire mesh quenching of the flame is investigated. The experimental and simulation results are consistent. Flames are quenched when 4 layers of 40-mesh or 3 layers of 60-mesh wire mesh are used; however, once the flame propagates through the wire mesh, the risk of methane combustion may increase. The wire mesh becomes the key factor causing flame folds and acceleration, and the greater the number of layers or the larger the mesh size is, the more obvious the folds after the flame passes through the wire mesh. Moreover, the combination of heat absorption and disruption of the continuous flame surface by the mesh causes flame quenching. Wire mesh can effectively attenuate the flame temperature during premixed flame propagation in a pipe, and the attenuated maximum rate reaches approximately 79% in the case of adding 3 layers of 60-mesh wire mesh.     

Forecasting China’s primary energy demand based on an improved AI model

An improved energy demand forecasting model is built based on the autoregressive distributed lag (ARDL) bounds testing approach and an adaptive genetic algorithm (AGA) to obtain credible energy demand forecasting results. The ARDL bounds analysis is first employed to select the appropriate input variables of the energy demand model. After the existence of a cointegration relationship in the model is confirmed, the AGA is then employed to optimize the coefficients of both linear and quadratic forms with gross domestic product, economic structure, urbanization, and technological progress as the input variables. On the basis of historical annual data from 1985 to 2015, the simulation results indicate that the proposed model has greater accuracy and reliability than conventional optimization methods. The predicted results of the proposed model also demonstrate that China will demand approximately 4.9, 5.6, and 6.1 billion standard tons of coal equivalent in 2020, 2025, and 2030, respectively.     

基于人工神经网络的气体泄爆最大超压预测研究

为解决传统经验公式在预测气体泄爆中最大超压出现时的较大偏差或过于保守的问题，提出使用人工神经网络预测气体泄爆最大超压。基于124组实验数据，采用BP与RBF神经网络，通过优化算法计算与迭代循环对泄爆样本中的影响因素进行降维与选择，并确定2类神经网络本身在学习与计算气体泄爆样本时的相关参数。结果表明:PCA（主成分分析法）在当前样本条件下的降维效果较差，而通过迭代对比确认气体泄爆样本中的5类特征全部保留时神经网络的训练模拟效果最好；通过对124组实验数据进行随机挑选训练集与测试集的训练模拟结果发现，神经网络对气体泄爆中最大超压的预测效果较好；通过对比Molkov提出的和经Fakandu等改进的NFPA 68经验公式以及2类神经网络的预测结果表明，神经网络相比于传统气体泄爆经验公式具有明显优势。