基于大数据的建筑暖通系统智能化技术探索

Exploration of intelligent technology of building HVAC system based on big data

随着城市化的加速和对室内环境质量要求的提升,传统暖通系统(HVAC)正面临重大挑战。大数据技术的应用在此背景下显得尤为关键,通过分析来自传感器和监控设备的海量数据,极大地优化了暖通系统的性能,提升了能效管理,实现了精确的故障预测与预防。智能化控制策略,尤其是利用PID算法的自适应控制,进一步提高了系统的响应性和效率。这不仅代表了技术进步的趋势,更标志着向更环保、高效、智能的建筑环境管理模式的转变。

With the acceleration of urbanization and the increasing demands for indoor environmental quality,traditional HVAC systems are facing significant challenges.The application of big data technology is particularly critical in this context,as it greatly optimizes the performance of HVAC systems by analyzing massive data from sensors and monitoring devices,enhancing energy efficiency management,and achieving precise fault prediction and prevention.Intelligent control strategies,especially the adaptive control using PID algorithms,further improve the system's responsiveness and efficiency.This not only represents a trend in technological progress but also signifies a shift towards a more environmentally friendly,efficient,and intelligent building environment management model.