针对传统单特征量烟雾监测方法应用于煤矿环境易受干扰的问题，分析了新型多特征量烟雾检测技术在煤矿场景应用的优势与局限；提出使用双波长光电感烟技术进行煤矿火灾烟雾的监测,测试了该技术用于煤矿场景的表现与问题；通过设计针对性的数据处理算法并引入一氧化碳浓度辅助监测手段形成一种基于双波长光电感烟的多特征量煤矿火灾烟雾监测方法,设计试制了基于双波长感烟的多特征量煤矿火灾烟雾监测方法的技术样机并测试了其性能表现。经试验验证，该技术样机对煤矿环境煤尘、水汽、风流的抗干扰能力优于传统技术样机。

Aiming at the problem that the traditional single characteristic smoke monitoring method is easily disturbed in the coal mine environment, this paper analyzes the advantages and limitations of applying new multi-feature smoke detection technology in coal mine scenarios. We propose that using a dual-wavelength photoelectric smoke detection technology for monitoring coal mine fire smoke and test its performance and issues in coal mine scenarios. Through designing targeted data processing algorithms and introducing an auxiliary monitoring method for carbon monoxide concentration, a dual-wavelength photoelectric smoke-based multi-feature smoke monitoring method for coal mine fires is developed. A technical prototype based on dual-wavelength smoke detection is designed, tested, and its performance is demonstrated. According to experimental verification, this technical prototype has better anti-interference capabilities than traditional prototypes against coal and dust, water vapor, and wind flow in coal mine environment.