###### Abstract  
With the emergence of new technologies, the design of urban infrastructure is constantly being innovated, and the lawn lamp as urban lighting infrastructure is an important part of urban infrastructure. For the current lawn lamp function, there are single, large power consumption, low light energy utilization and other shortcomings. Combined with deep learning and optical design, this paper constructs an adaptive lighting control system based on the technology of the Internet. Considering the nonlinear and time-varying characteristics of external factors, a fuzzy control model with ambient light level and pedestrian flow as input and dimming coefficient \(K\) (\(0<K<1\)) as output is proposed to adjust the brightness of the light source and achieve energy savings. In order to improve the light energy utilization of the luminaire and reduce the glare index of the luminaire, a free-form total internal reflection (TIR) lens was designed by finding the optimal curvature of the lens through the polycurved edge light principle. The light source of the lawn lamp was simulated by TracePro, and the results showed that the light energy utilization reached 90%. Finally, the ambient illumination and pedestrian flow data of Dalian ZT Park were measured for different time periods at the site, and the data were normalized using the min-max normalization algorithm. The adaptive dimming capability of the system was verified through simulation tests and field tests, and the results showed that the lighting energy efficiency under the control system was 38%.  
smart systems; fuzzy algorithm; TIR lens; dimming coefficient 2023 13 1631 10.3390/app13031631 10.  
solar tracking devices and fiber optic lighting systems are relatively expensive and not applicable to lawn lights [6]. [PERSON] et al. designed a control strategy for lighting with fuzzy (PID) control as the dimming method to solve the problem of high power consumption in tunnel lighting. The experimental results show that the system can effectively reduce the impact of the light decay phenomenon on the lighting control system to ensure the safety of traffic [7]. [PERSON] et al. proposed a fuzzy control method for tunnel lighting control systems. Simulation results show that the fuzzy system has a significant energy saving effect and good adaptability [8]. In recent years, on the basis of energy savings, outdoor lighting has been more inclined to meet the comfort needs of users [9; 10].  
As a kind of urban infrastructure serving human society, lawn lamps will be directly related to the safety and quality of people's lives. The operation of new technologies and the design thinking of new media can make lawn lights have a good interaction with users. Traditional lawn lights are mainly used to achieve basic functional lighting, such as illuminating roads or lawns, and they lack interaction with people, so an optimal redesign of them is necessary. It is important to note that as an outdoor luminaire, the loss of lamps is very high, and the lighting effect of lamps decreases over time. Therefore, this study breaks the original lawn lamp design concept and adopts an optical design to improve the lighting effect of the lawn lamp and reserve more space for dimming for intelligent control. In this paper, we use a fuzzy control algorithm, taking ambient light level and pedestrian flow as inputs and the dimming coefficient \(K\) (\(0<K<1\)) as output, to solve the problem of constant light from traditional lamps. In order to improve the light energy utilization of lamps and lanterns and reduce the number of glare values of lamps, this study carries out secondary optical design of light sources and designs a collimation system based on a total internal reflection (TIR) lens according to the principle of edge light and synchronous polysurface design method, which controls the light output direction by the TIR lens and collimates the light to make the light source achieve the expected effect.