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IOT IOT type tunnel lighting control method

机译:物联网物联网型隧道照明控制方法

摘要

The present invention relates to an IoT-type tunnel lighting control method in which a lamp module, that is, linear lighting is installed on the ceiling of a tunnel. The lamp module includes a plurality of lamps consecutively continuously installed from a tunnel entrance to a tunnel exit. The lamps are individually controlled to be turned on and off. The lamp module is divided into a plurality of modules individually controlled from the tunnel entrance to the tunnel exit, and includes leading lights for guiding driving of vehicles. In addition, the leading light changes the color thereof differently in emergency. The color of the lamps inside the tunnel is individually controlled into different colors by being interlocked with the temperature inside the tunnel. Therefore, the IoT-type tunnel lighting control method can provide remarkable effects on safe driving since a lamp block is divided into a plurality of blocks in order to change the intensity of illumination of the blocks to be appropriate for the driving environment, thereby reducing the degree of fatigue of eyes of a driver and improving inner situation recognition, for ensuring quick handling of an emergency situation. Leading lights are installed inside a tunnel in order to guide vehicles inside the tunnel and warn about an urgent situation, thereby ensuring quick handling of the situation. Moreover, the colors of lamps inside the tunnel is individually controlled into different colors by being interlocked with the temperature inside the tunnel, thereby reducing the degree of fatigue of eyes of a driver and improving inner situation recognition.
机译:IoT型隧道照明控制方法技术领域本发明涉及一种在隧道的天花板上安装灯模块即线性照明的IoT型隧道照明控制方法。灯模块包括从隧道入口到隧道出口连续连续安装的多个灯。分别控制灯的开和关。灯模块被分成从隧道入口到隧道出口单独控制的多个模块,并且包括用于引导车辆驾驶的前灯。另外,在紧急情况下,前灯改变其颜色。通过与隧道内部的温度互锁,将隧道内部的灯的颜色分别控制为不同的颜色。因此,由于将灯块划分为多个块以改变块的照明强度以适合于驾驶环境,因此IoT型隧道照明控制方法可以对安全驾驶提供显着效果。驾驶员眼睛疲劳的程度并改善内部状况识别,以确保快速处理紧急情况。为了在隧道内引导车辆并警告紧急情况,在隧道内安装了前灯。此外,通过与隧道内的温度联动,将隧道内的灯的颜色分别控制为不同的颜色,从而减轻驾驶员的眼睛疲劳程度并改善内部状况识别。

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