Research On The Cloud Intelligent Control System Of Grain Depot Storage Equipment

In order to ensure the quality of grain in the long-term storage process,combining the existing grain storage technology and the actual situation of yingkou Laobianzhong grain storage company,a cloud intelligent control system of low-temperature grain storage equipment is designed.Grain depot is located in northeast China,where winter is long and the temperature is low.The cold air source in winter is fully used for seasonal low temperature grain storage,and the low temperature grain storage equipment system is designed and optimized to realize the purpose of intelligent,efficient and environmental protection grain storage process.In this paper,the meteorological and grain situation monitoring system of the grain depot,the opening and closing and transmission structure of the barn window,the ventilation and refrigeration equipment such as air conditioning fans,and the hardware and software of the control system are studied respectively.The wireless sensor network is designed according to the requirement of grain condition and weather monitoring.Use ZigBee technology in wireless communication.For Leach hierarchical routing algorithm,application optimization was carried out for granary WSN application scenarios,and the optimal cluster number was determined to extend the working time of ZigBee nodes to the maximum extent.Design the rain sensing circuit based on frequency value,and optimize the control sequence of DS18B20 temperature sensor to ensure the stability and accuracy of sensor information transmission.Structure of grain storehouse and window close motion and dynamic analysis,to determine driving moment under external load values,to warehouse window transmission control structure redesign,mechanical transmission mechanism to away from window frames to prevent interference to lose food machine,add manual control structure at the same time,guarantee failure when problems such as the use of reliability.Combined with relevant literature,the theoretical calculation of the designed mechanism was carried out to determine the worm gear and worm material and size parameters.Motion,Ansys and other simulation software was used for auxiliary research.The transient dynamics analysis of the key shaft in the work was carried out to verify that the strength of the designed mechanism met the requirements.For air conditioner,fan,etc.In the process of grain storage energy-consuming equipment,the hardware part of the optimization,design infrared emission module control air conditioning,frequency converter to change the operating power of fan,fan cool storage for verification in guarantee under the premise of cool storage effect in the process of full energy,using the fluent software of Ansys for the u-shape ventilation cage arrangement of velocity field simulation,Then,through theoretical analysis,mathematical model and boundary conditions were set in Fluent,and the temperature field in the process of cold storage was simulated and analyzed to determine the optimal power range for the fan to realize energy saving under the requirements of cold storage.Finally,the logic setting and hardware and software design of cloud intelligent control system.The meteorological and grain situation monitoring equipment,air conditioning fans and other equipment were connected to the control system,cloud box and configuration software were added to the control center with PLC as the core,and the interface was drawn and the control variables were configured.Cloud intelligent control module is applied to realize cloud control,maintenance,programming and other rich functions.The above research provides a more efficient and intelligent management mode for the storage equipment management of local grain depots,and can also provide certain guidance for the low-temperature storage equipment system of other regions.There are 64 figures,13 tables and 56 references in this paper.