基于机器视觉的新能源信息管理系统  

New Energy Information Management System Based on Machine Vision

作　　者：赵祺 金大为 张铁马 ZHAO Qi;JIN Dawei;ZHANG Tiema(Tianjin Installation Engineering Co.,Ltd.,Tianjin 300061;Tianjin Futian Technology Co.,Ltd.,Tianjin 300384)

机构地区：[1]天津安装工程有限公司,天津300061 [2]天津福天科技有限公司,天津300384

出　　处：《软件》2024年第3期102-105,121,共5页Software

摘　　要：针对我国加快建设高比例可再生能源过程中,风光发电的间歇性、波动性给现有电力系统安全稳定带来的挑战,提出了基于机器视觉的可靠性解决方法。对建设过程中的图像数据处理分析,提取规律特征并识别分类,进行时空混合建模并对未来发电量计算分析,根据预测结果及时调整施工方案,实施技术整改,以提高在建工程质量水平及发电效率。相比传统方法,基于机器视觉的新能源预测管理软件具有更高的准确性和实时性,已在天津、宁夏、甘肃重点大型集中式光伏电站建设中实际应用,为新能源及电力建设行业的可持续发展注入了新的活力。A reliability solution based on machine vision is proposed to address the challenges posed by the intermittency and volatility of wind and solar power generation in the process of accelerating the construction of high proportion renewable energy in China,which poses a challenge to the safety and stability of the existing power system.Process and analyze image data during the construction process,extract regular features,identify and classify them,conduct spatiotemporal mixed modeling,and calculate and analyze future power generation.Based on the predicted results,adjust the construction plan in a timely manner,implement technical rectification,and improve the quality level and power generation efficiency of ongoing projects.Compared to traditional methods,machine vision based new energy prediction and management software has higher accuracy and real-time performance.It has been applied in the construction of key large-scale centralized photovoltaic power stations in Tianjin,Ningxia,and Gansu,injecting new vitality into the sustainable development of the new energy and power construction industry.

关 键 词：机器视觉 图像数据 新能源 预测管理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]