One form of a metallic particle detection system detects automatically, through analysis of image data from a first sensor, a foreign metallic particle in or on an active material layer of an electrode strip moving between a section and a subsequent section on a roll-to-roll coated electrode manufacturing line that manufactures a plate electrode. The system also determines a position of the foreign metallic particle on the electrode strip moving on the roll-to-roll coated electrode manufacturing line. The system also triggers, in response to detection of the foreign metallic particle and based on the position of the foreign metallic particle and a speed at which the electrode strip is moving, the second sensor, the second sensor generating a reflectance spectrum of the foreign metallic particle. The system also analyzes the reflectance spectrum to identify a type of metal of which the foreign metallic particle is composed.

The present disclosure provides a particle size statistical method of granular minerals of shale, comprising: collecting shale samples; cutting the collected samples into the size of 1 cm1 cm1 cm; performing argon ion polishing; magnifying the samples by the field emission scanning electron microscopy, collecting 500-1000 images; using Adobe Photoshop to seamlessly splice the collected images; using ImageJ in combination with EDS energy spectrum to determine types of mineral particles, performing background subtraction, and setting a reasonable grayscale threshold to classify the particle minerals; performing binary processing on the images of selected mineral particle types; identifying edges of granular minerals, and using a Analyze Particles command to statistically analyze and measure particle sizes, and drawing a particle size distribution histogram. The method can perform precise measurement and statistics on the particle sizes of shale particle minerals, and can perform full-scale statistical analysis on the distribution of different mineral particle sizes in the shale.