摘要
针对目前许多变电站内照明设备自动化程度不够高、对环境变化的敏感度较弱等问题,使用图像识别技术对变电站照明系统进行控制。通过设置摄像头捕捉影像,使用图像识别技术对图像进行灰度转换、均值计算、背景差分处理等处理步骤得到光照强度、人影活动等信息。根据光照强度、人影活动程度以及当时的工作状态等得出需要人工光源补充的照度值。最后通过系统仿真进行验证。结果证明,所提出的策略能够有效提高变电站照明系统对环境变化的响应速度并具有较高的精度,具有较高的实用性。
In view of the problems such as the insufficient degree of automation of the lighting equipment in many existing substations and the weak sensitivity to environmental changes,the image recognition technology is used to control the lighting system of the substation.The image is captured by the set camera,and the image is used to obtain information such as light intensity and shadow activity by grayscale conversion,mean calculation,background difference processing and other processing steps on the image.According to the light intensity,the degree of activity of the figure,and the working state at the time,the illuminance value that needs to be supplemented by an artificial light source is obtained.Finally,the system simulation is used to verify the verification.The results show that the proposed strategy can effectively improve the response speed of the substation lighting system to environmental changes,and has high accuracy and practicability.
作者
梁会军
龙刚成
邓皓
钟建伟
杨永超
梁军
LIANG Hujun;LONG Gangcheng;DENG Hao;ZHONG Jianwei;YANG Yongchao;LIANG Jun(College of Intelligent Systems Science and Engineering,Hubei Minzu University,Enshi 445000,China;Hubei Minzu University,Enshi 445000,China;Cixi Rural Commercial Bank Co.,Ltd.,Ningbo 315000,China)
出处
《中国照明电器》
2025年第7期88-92,共5页
China Light & Lighting
基金
湖北省重点研发计划项目(2023BAB120)
恩施州2023年技术支撑类科技计划项目(D20230042)。
关键词
变电站照明系统
图像识别
智能优化
智慧变电站
设备自动化
substation lighting systems
image recognition
intlligent optimization
smart substation
equipment automation
