| China’s mushroom industry has been developing rapidly in recent years,but the traditional crude production management mode has restricted the further development of the mushroom industry.Unlike the large-scale production in factories,the management of traditional northern mushroom greenhouses is relatively sloppy,and most of the temperature and humidity control of mushroom greenhouses rely on manual control and manual experience control,resulting in low accuracy and stability of temperature and humidity control,which seriously affects the yield and quality of mushrooms.In order to improve the production management ability of mushroom greenhouse,enhance the standardized management level and reduce the labor intensity,the automated,precise and intelligent measurement and control of mushroom production is becoming more and more urgent.Based on the above background,this study explores the temperature and humidity prediction and intelligent control of the mushroom greenhouse in order to provide a more suitable temperature and humidity environment for the growth and development of the mushroom,improve the yield and quality of the mushroom.The main research contents and conclusions are as follows.(1)A temperature and humidity prediction model based on SSA-BPNN for pleurotus ostreatus greenhouse was constructedThe research of temperature and humidity prediction model is a prerequisite for achieving intelligent temperature and humidity control.The input data of the mushroom greenhouse temperature and humidity prediction link is characterized by many types,large quantity and nonlinearity,and the ability of the model to process such input data significantly affects the accuracy and efficiency of the greenhouse temperature and humidity prediction.Based on the nonlinear mapping ability of BPNN model in complex environment,it is often applied in the field of greenhouse temperature and humidity prediction.However,the BPNN model has problems such as easy to fall into local extremes and slow training rate.Using the excellent global search ability and convergence ability of the sparrow search algorithm,the SSA-BPNNbased greenhouse temperature and humidity prediction model for pleurotus ostreatus was constructed.The results showed that the accuracy of SSA-BPNN model applied to mushroom greenhouse temperature and humidity prediction was higher,and all the prediction evaluation indexes were significantly better than the traditional BPNN model.(2)The SSA-BP-PID-based coupled temperature and humidity control model for pleurotus ostreatus greenhouse was constructed.Accurate control of temperature and humidity is the decisive factor to realize the automatic regulation of greenhouse.The research addresses the problems of low control accuracy and poor control efficiency of the traditional PID control model,and proposes a temperature and humidity coupling control method that combines intelligent control methods and coupling strategies.The study constructs a temperature and humidity control model based on SSA-BPPID,and carries out online adaptive optimization of PID control parameters to reduce the control error and regulation time of the model.The SSA-BP-PID coupled control model was established based on the temperature and humidity coupling relationship function.The effectiveness of the SSA-BP-PID coupling control model in improving control accuracy and control efficiency was verified by establishing temperature and humidity automatic control strategies and model evaluation indexes for different growth periods of pleurotus ostreatus.(3)Development of the IOT measurement and control system for mushroom greenhouse based on the six-domain modelThe development of IOT measurement and control system for mushroom greenhouse is an effective way to realize temperature and humidity monitoring and control of the whole growth cycle of mushroom greenhouse.The research constructs the general architecture of the IOT measurement and control system of mushroom greenhouse based on the six-domain model of IOT,reconstructs the key links of the IOT system,and realizes the organic unification of greenhouse physical objects,sensing control,application system and target users.To achieve more specific system functions,the study delineates the Io T software and hardware systems in detail.Based on the general design framework of the Io T hardware system,the study designed and developed a special Io T terminal for Io T sensing,transmission and control of pleurotus ostreatus greenhouse,which guarantees the stability and reliability of greenhouse monitoring and regulation.At the same time,in order to improve the practicality and visualization ability of the system,software systems such as server-side upper computer platform,web-side web platform and cell phone APP were designed and developed. |
