一种基于CAN总线的仿生LED照明控制系统设计Design of a Bionic LED Lighting Control System Based on CAN Bus
杨永胜,陈成,胡洪义,李兰馨,张淑坤
YANG Yongsheng,CHEN Cheng,HU Hongyi,LI Lanxin,ZHANG Shukun
摘要(Abstract)：
为了改善矿井下的照明作业环境，降低长期待在井下对人体造成的不利影响，设计基于CAN总线通信方式的仿生LED照明控制系统，该系统主要由照明分控制器和LED仿生照明灯具组成。文章给出了该系统的整体构成、通信方式、照明分控制器和LED仿生照明灯具软硬件设计方案，并详细地介绍了系统的功能实现。通过融合星型组网技术和大数据仿生算法，在格拉斯曼调光混合定律的基础上实现了仿生LED照明控制系统。经过测试，本系统最终实现了模拟自然光的亮度和色温变化自主控制照明灯具的功能，在满足标准和规范要求的条件下，改善传统的照明工况，提高人体的适应性。
In order to improve the lighting working environment under the mine and reduce the adverse impact on human body caused by staying underground for a long time, a bionic LED lighting control system based on CAN bus communication mode is designed. The system is mainly composed of lighting sub controller and LED bionic lighting lamps. This paper presents the overall composition of the system, communication mode, lighting sub controller and the hardware and software design of LED bionic lighting fixture, and introduces the function realization of the system in detail. Through the integration of star networking technology and big data bionic algorithm, the bionic LED lighting control system is realized on the basis of Glasmann's dimming mixing law. After testing, the system finally realizes the function of simulating the brightness and color temperature changes of natural light to control lighting lamps independently. Under the condition of meeting the requirements of standards and specifications, it improves the traditional lighting conditions and improves the adaptability of the human body.
关键词(KeyWords)：
RT-Thread;仿生;LED照明;矿井
RT-Thread;bionics;LED lighting;mine
基金项目(Foundation):
作者(Author):
杨永胜,陈成,胡洪义,李兰馨,张淑坤
YANG Yongsheng,CHEN Cheng,HU Hongyi,LI Lanxin,ZHANG Shukun
参考文献(References)：
- [1] 邹亚双.井工煤矿环境照度和噪声强度对视疲劳的影响研究[D].北京：中国矿业大学，2022.
- [2] 江婷，张皓垣.自动编址单灯控制技术在隧道照明中的应用[J].中国交通信息化，2022(S1):393-396.
- [3] 原红飞.基于物联网的矿井智慧照明系统的设计及应用[J].煤，2020,29(8):50-51.
- [4] 何晨.黄陵一号煤矿选煤厂智能化建设实践与思考[J].煤炭加工与综合利用，2022(7):14-16.
- [5] 许馨尹，刘梦杰，李涛，等.基于日光估计的动态照明控制方法研究[J].建筑科学，2022,38(8):184-193.
- [6] 宋鹏程.基于PWM驱动的多色LED混光研究[D].广州：华南理工大学，2016.
- [7] 冯健，周强.智能控制系统在室外景观照明中的应用研究[J].光源与照明，2022(7):1-3.
- [8] 李文杰，脱慧.基于STM32的教室智能照明系统设计[J].中国设备工程，2022(13):118-120.