Abstract: To ensure the safety of special firefighting and rescue personnel in hazardous chemical accidents, this article uses a complete sprinkler test platform, and selects two typical models of chemical protective clothing, traditional firefighting clothing, and new firefighting clothing widely equipped by firefighting teams for parallel repeated tests. The area of the staining area is calculated using traditional grid statistics and image recognition methods, respectively. And use the fabric liquid tightness test platform to study the influence of different spraying pressures and spraying times on the liquid tightness performance of fire protection clothing. The results show that the relative error rate of the average staining area measured by image recognition methods and traditional grid statistical methods is less than 10%, verifying the accuracy and feasibility of computer image recognition methods in this field. As the spraying time and pressure increase, the dyeing area of traditional firefighting clothing fabrics increases, and the liquid tightness performance deteriorates, while new firefighting fabrics have better liquid tightness performance under the same conditions. The new type of firefighting suit fabric is a composite aramid woven fabric with a two-component PTFE film on the inner side and a silicone rubber coating on the outer layer. Compared with traditional firefighting suit fabrics, it has added composite film materials and silicone rubber coatings, which have stronger resistance to liquid penetration.

Key words: firefighting protective clothing, liquid-tight performance, image recognition technology, area calculation, protection performance evaluation