煤炭质量检测中先进信息技术的集成与优化

Integration and optimization of advanced information technology in coal quality testing

煤炭作为重要能源,其质量直接影响燃烧效率、环境排放和产品质量。传统检测方法依赖人工采样和实验室化验,存在采样不均、操作繁琐和周期长的问题,难以满足实时、准确的需求。本文提出了多模态信息融合、标准化与自动化、智能化监控系统等优化方案。这些技术显著提高了煤炭质量检测的精确性和效率,并在实验室和工业应用中得到了验证,展现了其在煤炭质量实时监控和管理中的巨大潜力。优化后的方法不仅能更准确地反映煤炭产品的实际灰分和硫分含量,还能为煤炭行业的发展提供强有力的技术支撑,实现煤炭质量监测的智能化和高效化。

As an important energy resource,the quality of coal directly affects combustion efficiency,environmental emissions,and product quality.Traditional detection methods rely on manual sampling and laboratory testing,which have issues such as uneven sampling,cumbersome operations,and long cycles,making it difficult to meet real-time and accurate requirements.This paper proposes optimization solutions including multimodal information fusion,standardization and automation,and intelligent monitoring systems.These technologies significantly improve the accuracy and efficiency of coal quality detection and have been validated in both laboratory and industrial applications,demonstrating their great potential in real-time monitoring and management of coal quality.The optimized methods not only more accurately reflect the actual ash and sulfur content in coal products but also provide strong technical support for the development of the coal industry,achieving intelligent and efficient coal quality monitoring.