引入估计推理的多模式灯光控制系统的设计与实现  

Introduction of Estimated Reasoning Multiple Mode Lights Control System Design and Implementation

作　　者：徐咏冬[1] 彭胜伟[1] 

机构地区：[1]河南化工职业学院机械电子系,河南郑州450042

出　　处：《科技通报》2013年第9期106-109,共4页Bulletin of Science and Technology

摘　　要：汽车在高速驶进与驶出隧道时会产生"明适应"与"暗适应"的视觉问题,对汽车的安全行驶带来威胁,隧道照明控制相关因素较多,非线性较强难以形成精确的数学模型。提出一种引入估计推理的隧道灯光控制系统的设计方法,对车速、车流量、光照等相关因素进行实时采集后经过ZigBee网络传输到控制中心,控制中心以ARM处理器为核心控制部件,通过建立模糊推理的专家系统对隧道中的照明进行控制。实际的系统测试证明,这种系统的照明方式较传统的照明控制节能18%,具有很强的实用性。Car in high speed into and out of the tunnel would produce the ＂light adaptation＂ and ＂dark adaptation＂ visual problem, the ear driving safety threat, tunnel lighting control related factors, nonlinear strong more difficulty in forming the accurate mathematical model. This paper puts forward a fuzzy reasoning based on the high power LED tunnel lighting intelligent control system research, the speed, the traffic light, and the relative factors, such as real-time acquisition after ZigBee network transmission to the control center, control center to ARM processor as core control unit, through the establishment of fuzzy reasoning expert system for tunnel lighting control. The actual system test, the system＇s lighting system is superior to the conventional lighting control energy saving 18%, have very strong practicability.

关 键 词：隧道照明 ZIGBEE 模糊推理 ARM 

分 类 号：TP131[自动化与计算机技术—控制理论与控制工程]