Design And Realization Of Integrated Control System Of Water And Fertilizer In Orchard

With the increasing lack of fresh water resources in our country,the increasing incidence of agricultural fertilizer pollution,and the increasing quality of life of people,people for the conservation and sustainable development of agriculture requirements are getting higher and higher.In many agricultural areas of our country,there are a large number of fruit tree planting base.At present,most of these planting bases are still using traditional irrigation and fertilization to the garden of fruit trees,And this traditional mode of operation will not only bring greater labor costs,but also resulting in a lot of waste of fresh water resources,as well as environmental pollution caused by agricultural fertilizers.This paper mainly constructs a set of integrated water and fertilizer control system based on PLC.The system can achieve automatic control,manual control and remote control.In the automatic decision-making of water and fertilizer,the fuzzy control algorithm is used to construct the decision system.This method fully combines the local meteorological environment information and artificial planting experience in the orchard to control the water and fertilizer.The data center enables the system to have remote network control functions,enhanced the orchard irrigation and fertilization operations convenience greatly.At the end of the article,the structural optimization of the meteorological environment monitoring system is explored based on the existing system.And the data in the system are analyzed and demonstrated by PLS algorithm and BP neural network algorithm.The results of the analysis show that this method can achieve the purpose of reducing the number of sensors and reducing the amount of lightweight system.The main contents of the thesis are as follows:1、Aiming at the need of intelligent fertilization irrigation in modern orchard,a water and water integrated control system based on PLC control was constructed.It is systematically integrated with soil moisture sensor,soil temperature sensor,wind speed sensor,wind direction sensor,wireless transmission device and data forwarding center.To achieve the system of local manual control,automatic control system and WEB remote control function.2、In order to save development costs and achieve flexible control,the system uses the host computer,the next bit machine,supplemented by the decision control method.The software control system of host computer based on configuration king control is constructed,all the water and fertilizer control logic instructions are sent by the host computer to the lower computer to perform,so as to control the solenoid valve,water pump and other actuator action.At the same time on the entire park of different branches of the fruit set of time control,to ensure that different regions of the different needs of water and fertilizer.3、The water and fertilizer control system of water and fertilizer integrated control system is designed,then mainly introduces the design of irrigating decision in water and fertilizer control system,and introduces the design reasoning process of fuzzy control.In the fertilization,use the principle which fertilizer going with the water,then fertilizer in the process of irrigation.For the amount of fertilizer used,the existing orchard parallel management system is used to calculate the specific formula fertilization scheme of the orchard,and then quantitatively be applied to the water and fertilizer integrated control system.Compared with the traditional control algorithm,the decision-making system based on the fuzzy reasoning control algorithm is that it can integrate the empirical data in the actual planting process into the control system and guide the irrigation and fertilization of the orchard reasonably.4、Through a year of trial run,the optimization and transformation of the system were discussed.The data in the existing meteorological system were analyzed by PLS.Through the modeling of the initial 17 meteorological factors,R~2 can reach 0.997.The four meteorological factors,which have the greatest effect on transpiration and can be obtained at lower cost,are obtained from the contribution of each factor.Finally,these four factors were used to establish the model of transpiration estimation.The BP neural network estimation model based on air temperature,maximum temperature,air humidity,soil moisture as input and fruit tree transpiration as output was constructed.From the data analysis results of the estimation model,the correlation of the system model can reach 85.777%,which can meet the requirements of the actual process,and can achieve the purpose of optimizing the system.