Automatic Monitoring And Optimal Scheduling Of The Multi-layer Nursery Bed Cultivation System With Digital Twin Paradigm

The greenhouse has been widely used for its advantages of not being disturbed by external environment and high utilization rate of land.However,the most advanced greenhouse automatic multi-layer cultivation equipment represented by plant factory still relies on technical personnel to set up the environmental parameters and production plan by combining field data and their own experience.The monitoring and control system can not automatically respond to the dynamic changes of the greenhouse situation.Technical personnel also lack of visual monitoring and overall situation of the greenhouse cultivation cycle.Firstly,the principle of the automatic multi-layer cultivation equipment in greenhouse and the actual conditions and requirements of the greenhouse are studied.For the solar greenhouse,the new multi-layer nursery bed scheduling method is designed.The three dimensional models of the related equipment for scheduling are established.A greenhouse data acquisition network with 100% coverage rate,and less than 3% packet loss rate is set up by ZigBee wireless sensor network.Based on the Android platform and Bluetooth technology,the application of greenhouse environment monitoring and remote irrigation is developed.Secondly,the object-oriented modeling of the greenhouse system is completed by classify and abstract the greenhouse system.The greenhouse Digital Twin dynamic simulation and monitoring algorithm is realized,which is driven by the sensor data of the greenhouse physical scene in real time.Based on the Unity3 D engine,the 3D digital scene of greenhouse is built and the Digital Twin application DTsim is developed.The real time monitoring,dynamic simulation and automatic scheduling of real greenhouse system are realized.The system delay is less than 2 seconds.The problem of lack of visual monitoring and overall model of agricultural facilities and greenhouse cultivation is solved.Finally,aiming at the defect of the nursery bed scheduling plan can not be automatically optimized for the light utilization greenhouse,an optimal mathematical model is set up to optimize the average illumination of each nursery bed in the conditions of the light amount is not less than the survival light amount of every nursery bed and the scheduling of each nursery bed is not more than 3 times.Through the greenhouse CPS,the historical light data and the real-time light data,the empirical light model and the real-time full day prediction light model are established.The automatic updating function of the optimal scheduling plan for the nursery bed is realized.and the existing fixed scheduling scheme is improved.The timed Petri net in the industrial agile logistics system is studied.The logistics process modeling of the multi-layer nursery bed scheduling process has been realized.The logistics simulation is carried out,and the simulation results are analyzed.In this paper,a three-dimensional digital model of greenhouse is established through the digital twin method,and the monitoring of environmental data and the visualization of the greenhouse scene are realized.Based on the automatic scheduling optimization method which is driven by real time light prediction model,a general method and algorithm for the minimum scheduling times of nursery bed under the condition of dynamic light.