The invention relates to the technical field of lighting control, in particular to an intelligent control method and system for tunnel lighting, and the method comprises the following steps: collecting traffic flow data, vehicle speed data and brightness outside a tunnel of a target tunnel; the method comprises the following steps: establishing a traffic flow prediction data set by using traffic flow data, establishing a vehicle speed prediction data set by using vehicle speed data, further constructing a traffic flow prediction model and a vehicle speed prediction model to obtain a traffic flow prediction value and a vehicle speed prediction value so as to formulate a tunnel illumination plan, and optimizing the tunnel illumination plan based on an image visibility strategy. And an optimal tunnel illumination scheme is obtained to illuminate the target tunnel. According to the method, the randomness and non-uniformity of tunnel illumination control influence factors are fully considered on the basis of introducing a machine learning algorithm, and the potential influence of light on the vision of a driver can be fully considered by using an image visibility strategy, so that the effect of tunnel illumination control is improved.
本发明涉及照明控制技术领域,尤其是涉及一种隧道照明智能控制方法及系统,所述方法包括如下步骤:采集目标隧道的车流量数据、车速数据和洞外亮度;使用车流量数据建立车流量预测数据集,使用车速数据建立车速预测数据集,进而构建车流量预测模型和车速预测模型以获取车流量预测值和车速预测值,用以制定隧道照明预案,并基于图像可视性策略对隧道照明预案进行优化,得到最优隧道照明方案对目标隧道进行照明。本发明在引入机器学习算法的基础上对隧道照明控制影响因素的随机性和不均匀性进行了较为充分的考虑,使用的图像可视性策略也能充分顾及光线对驾驶员视觉的潜在影响,从而提高了隧道照明控制的效果。
Tunnel illumination intelligent control method and system
一种隧道照明智能控制方法及系统
2025-02-07
Patent
Electronic Resource
Chinese
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