The concentration distribution of combustible dust determines thermal intensity distribution during an explosion. Current measurements for dust concentration have their particular limitations. Targeting this, we proposed an “ultrasonic-electric” hybrid detection system and a fusion model. We deployed 12 of the ultrasonic-electric hybrid systems in orthogonal arrays to comprehensively observe the clouds. First, the ultrasonic-electric hybrid detection systems obtained concentration data in real time, and those data were calculated by fusion model. Then, the clouds and their concentrations changing with time were depicted. We analyzed those trends and found certain patterns in them. Our approach can provide a fast, accurate way to detect concentrations of dynamic and complex dust. Finally, the corresponding relationship between the dust concentration distribution and its explosive heat intensity distribution is obtained. The results show that the thermal distribution of combustible dust at a concentration of 20-120 g/m³ is proportional to the concentration. This is important for preventing dust explosions and reducing the thermal intensity of explosions.

可燃粉尘的浓度分布决定了爆炸过程中的热强度分布。当前的灰尘浓度测量有其特定的局限性。针对这个问题，我们提出了一种“超声-电”混合检测系统和融合模型。我们在正交阵列中部署了12个超声电混合系统，以全面观察云层。首先，超声电混合检测系统实时获取浓度数据，并通过融合模型计算这些数据。然后，描绘了云及其浓度随时间变化。我们分析了这些趋势并发现了其中的某些模式。我们的方法可以提供一种快速，准确的方法来检测动态和复杂灰尘的浓度。最后，得到了粉尘浓度分布与其爆炸热强度分布的对应关系。结果表明，浓度为20-120 g / m的可燃粉尘的热分布³与浓度成正比。这对于防止粉尘爆炸和降低爆炸的热强度很重要。