Font Size: a A A

Application Research Of Dry-depth-time-domain Irrigation Data Monitoring Device Based On Internet Of Things

Posted on:2022-09-06Degree:MasterType:Thesis
Country:ChinaCandidate:X TaoFull Text:PDF
GTID:2513306491466084Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
With the increase of population in our country water resources shortage,the shortage of water resources has seriously restricted the sustainable and healthy development of economy and society in our country,our country as a traditional agricultural country,total water use in agriculture accounts for more than 70% of available fresh water resources in China,so continue to need to develop the intelligent water-saving irrigation technology and promotion.This paper studies a set of dry deep based on Internet of things-irrigation time domain data monitoring device application system,realized the real-time acquisition and monitoring of soil moisture,and measured the environment parameters can be stored with the query,based on combining the fuzzy control algorithm,according to the real-time acquisition of soil humidity,irrigation decision,to promote the utilization of water resources for agriculture in our country has important significance.The main research contents of this paper include:(1)Build a dry-deepness-time-domain water-saving irrigation decision model.Based on tomato cultivation as the research object,this paper of tomato in different growth stages of water demand was analyzed,and identified the tomatoes in seedling period,growth period,mature period,the three growth stage of the growth of the best combination of soil moisture and the growth stage and dry deep-time domain method of irrigation to extend the time needed for irrigation,according to the crop water demand,A decision model of water-saving irrigation was established to determine the fuzzy control strategy with the current soil moisture and the difference between the current soil moisture and the optimal soil moisture as variable input.According to the established fuzzy rules,the optimal soil moisture of crops under the current growth stage was optimized,and the irrigation time was automatically output.(2)Establish a dry-deep time-domain water-saving irrigation system.According to the function and performance requirements of dry-deepness time-domain water-saving irrigation system,the overall design of the control system is carried out.The system adopts wireless communication mode to avoid the trouble in the field wiring.S7-200SMART(CPU SR30)is used as the core processor.The selection and introduction of soil moisture sensor,GPRS DTU,relay and solenoid valve in data transmission module are carried out,and photovoltaic drive battery is used.The intelligent water-saving irrigation system is developed based on Lab VIEW software,and the user login interface is designed by programming.The main control interface is designed to facilitate farmers to understand the farmland information,and the database is established to realize the storage of data,so as to facilitate users to query the previous irrigation situation.Connected to PLC via Ethernet and NI OPC Server,users can also remotely monitor real-time soil moisture information.(3)The experimental platform of application system of dry-depth time-domain intelligent irrigation data monitoring device based on the Internet of Things is set up.After testing the control system,the collected soil moisture information was sent to the monitoring center,and the error was less than 1%.After testing,it was found that the data transmitted by GPRS wireless sensor was not only accurate,but also more reliable.In addition,the software and hardware of the system could run normally,and the database could store and query the data accurately.By building an experimental platform,the decision model of intelligent watersaving irrigation was studied.When intelligent irrigation of tomato was carried out by the system,the error between the system and the target value was less than 5%,which ensured the timeliness and accuracy of irrigation.The system could carry out precise irrigation according to the water demand of plants at different growth stages.In order to verify the function and performance of the application system of dry-deepness-time-domain intelligent irrigation data monitoring device based on the Internet of Things,this paper designed the water-saving irrigation experimental group and the natural growth control group.By comparing the plant height of the plants growing under the intelligent water-saving irrigation system with that under the natural artificial irrigation,the experimental results show that: Compared with the control group,the plant height of the experimental group increased by 28.11%,and the irrigation water consumption decreased by 65.37%.Through the control experiment,it is proved that the intelligent water-saving irrigation system based on dry-depth and time-domain can effectively improve the utilization rate of water,so as to achieve the purpose of intelligent water-saving irrigation.
Keywords/Search Tags:intelligent irrigation, GPRS, Fuzzy control, Soil moisture, LabVIEW
PDF Full Text Request
Related items