华南农业大学学报2024，Vol.45Issue(3)：397-407,11.DOI:10.7671/j.issn.1001-411X.202305029
基于EEMD-WPT的温室环境数据优化处理研究
Research on the optimization processing of greenhouse environmental data based on EEMD-WPT
摘要
Abstract
[Objective]To address the problem that the data acquisition sensors in greenhouse system are easily disturbed by various environmental factors,leading to the presence of noise in the data.[Method]This study proposed a data noise reduction processing method combining ensemble empirical mode decomposition(EEMD)and wavelet packet adaptive threshold(WPT)algorithm,and the Kalman filter and adaptive weighted average algorithm were used to fuse the noise-reduced data.[Result]After applying the EEMD-WPT algorithm to the noise reduction processing of the noise-containing temperature and humidity data,the signal-to-noise ratio was improved by 73.08%compared with the data before noise reduction.The EEMD-WPT algorithm had better noise reduction effect compared with the traditional WPT algorithm,and the signal-to-noise ratio of the processed data was improved by 40.31%and the root mean square error reduced by 84.75%.[Conclusion]The algorithm can solve the problems of data skipping,redundancy and loss,and provides effective parameters for the greenhouse control system,making it highly practical and valuable for application.关键词
EEMD/小波包/自适应阈值/降噪/温室/数据融合Key words
EEMD/Wavelet packet/Adaptive threshold/Noise reduction/Greenhouse/Data fusion分类
信息技术与安全科学引用本文复制引用
吴伟斌,杨柳,吴维浩,吴贤楠,沈梓颖,张方任,罗远强..基于EEMD-WPT的温室环境数据优化处理研究[J].华南农业大学学报,2024,45(3):397-407,11.基金项目
广东省现代农业产业技术体系创新团队建设项目(2023KJ120) （2023KJ120）
国家自然科学基金青年科学基金(52005188) （52005188）
