摘要
【目的】为实现设施菜心生产环境的实时监控和精准调控,设计一种基于模糊控制的设施菜心生产环境管控模型及系统。【方法】采用物联网设备实时监测菜心各生长阶段(种子发芽期、叶片生长期、菜薹形成期)的环境因子(空气温度、土壤温度、土壤湿度和土壤电导率),将参数的监测值与适宜范围进行对比,获得各环境因子的偏差及变化率。管控模型利用模糊推理与定性分析结合的方法优化环境因子控制量,确定环境调控设备的调控决策,达到对环境因子的精准调控。【结果】管理模式对比试验表明:在菜心3个生长阶段,管控系统模式的平均调控实时性指标分别为0.10、0.17和0.18,平均准确性指标分别为0.78、0.68和0.74;人工管理模式的平均调控实时性指标分别为0.37、0.41和0.43,平均准确性指标分别为0.31、0.34和0.30。管控系统的平均实时性和准确性与人工管理模式相比分别有62.50%和1.34倍的提升。【结论】管控系统模式实现了菜心生产环境信息的实时获取与精准调控,能帮助用户更好地进行设施菜心的生产管理。
【Objective】To achieve real-time monitoring and precise regulation of the growing environment of facility flowering Chinese cabbage,a growing environment management model and system based on fuzzy control was designed.【Method】The system used Internet of Things equipment to monitor environmental factors(atmospheric temperature,soil temperature,soil moisture,and soil electrical conductivity)information in real-time at seed germination period,leaf growth period and stalk formation period,and compared the monitored values with the values of suitable range of the parameters to obtain the deviation of each environmental factor and its change rate.The management model used a combination method of fuzzy reasoning and qualitative analysis to optimize the control amount of environmental factors,determined the regulation decision of environmental regulation equipment,and achieved the precise regulation of environmental factors.【Result】 The comparison tests of the management modes showed that the average real-time control performance of the control system mode was 0.10, 0.17, and 0.18, and the average accuracy was 0.78, 0.68, and 0.74 respectively in the three growth stages;The average real-time control performance of the manual management mode was 0.37, 0.41 and 0.43, and the average accuracy was 0.31, 0.34 and 0.30, respectively. The average real-time performance and accuracy of the management system were improved by 62.50% and 1.34 times respectively compared with the manual management mode. 【Conclusion】This management system can realize the real- time acquisition and accurate regulation of the production environment information, and help users better manage the production of the facility flowering Chinese cabbage.
作者
毛远洋
陈芳玲
卞智逸
肖德琴
周敏
MAO Yuanyang;CHEN Fangling;BIAN Zhiyi;XIAO Deqin;ZHOU Min(College of Mathematics and Informatics,South China Agricultural University/Key Laboratory of Smart Agricultural Technology in Tropical South China,Ministry of Agriculture and Rural Affairs,Guangzhou 510642,China)
出处
《华南农业大学学报》
CAS
CSCD
北大核心
2024年第1期127-136,共10页
Journal of South China Agricultural University
基金
广东省重点领域研发计划(2019B020214005)
广州市科技计划(202206010116)
关键词
设施农业
菜心
管控模型
模糊控制
环境调控
Facility agriculture
Flowering Chinese cabbage
Management model
Fuzzy control
Environmental regulation
