Design of vehicle-mounted illuminance detection system based on ROS

Illuminance is closely related to our lives, and indoor light has become an indispensable part of our lives. However, excessive light or darkness indoors can greatly increase the fatigue of the human body and even trigger an accident. For this reason, illumination measurement becomes particularly important. Traditional indoor illumination measurement methods use full manual measurement. When there are many measurement points, the manual measurement workload is large and time-consuming, and when the surveyor approaches the measuring instrument, it will cause interference to the light environment. The on-board illumination measurement method proposed in recent years requires manual remote control due to its own system, so automatic detection cannot be achieved. In order to improve the efficiency of indoor manual field measurement of lighting quality, an intelligent on-board illumination detection system is designed according to actual requirements combined with the ROS robot operating system and laser SLAM technology. The system uses STM32 single-chip microcomputer to drive cars, carries lidars, models the indoor environment with laser SLAM technology, processes the illuminance sensor data through raspberry pi, and finally sends them to the upper computer, displays illuminance information, and achieves the purpose of automatically measuring illuminance. Compared with manual measurement methods, its measurement efficiency and accuracy have been greatly improved, providing an effective means for in situ indoor measurement.