利用平面激光诱导荧光（PLIF）技术实现气溶胶流场的实时探测，对气溶胶流场运动的研究有着重要意义。针对PLIF气溶胶流场实时探测中微弱信号可视性较差的问题，提出一种信号强度分类变换方法，根据信号强度特征设定限制条件，通过迭代将信号分为若干强度区间，并对各区间内信号强度重新规划赋值。将强度分类变换方法应用于PLIF气溶胶流场探测的荧光信号处理，与限制对比度自适应直方图均衡化（CLAHE）的处理结果相比，该方法在大动态范围荧光信号的微弱信号增强、噪声抑制方面具有较好的效果，对微弱信号信背比的提升超过20%。针对气溶胶流场不同变化阶段，所提方法可以实现25 frame/s的实时处理，满足对气溶胶流场荧光信号实时探测的要求。

Real-time detection of aerosol flow field using planar laser-induced fluorescence (PLIF) technology is crucial for studying the motion of aerosol. To enhance the visibility of weak signals in real-time PLIF aerosol signal detection, we propose a method of piecewise intensity transformation in this paper. This method sets constraints based on the characteristics of signal intensity, iteratively divides the signal into several intensity ranges, and then replans the signal intensity in each range. The proposed piecewise intensity transformation is applied to the signal processing of PLIF aerosol flow field detection,compared with the processing results of limited contrast adaptive histogram equalization (CLAHE), this method has good results in weak signal enhancement and noise suppression of large dynamic range fluorescent signals, with an improvement of over 20% in the signal-to-background ratio of weak signals. The proposed method achieves real-time detection at 25 frames per second for different stages of aerosol flow field, meeting the requirements for real-time detection of aerosol flow field fluorescence signal.