The Study Of Intelligent City Turf Irrigation System

The gross of water resource in China is abundance, but there is fall short of 1/4 of world average amount for the individual owns. And there are about 400 cities stand in more or less lack of water in nation's 670 cities. The water used for greenbelt irrigation take an important part in city's consumed water. Studying the intelligent city turf irrigation system, lots water in greenbelt irrigating will be saved, and then it would catabatic the lack of water in cities availability.The City Greenbelt Intelligent Irrigation System is mainly based with two parts: Irrigation Water Estimate System and Flux control System. Irrigation Water Estimate System is used to estimate whether greenbelt need irrigated and how much water should be irrigated if it's need to be irrigated; In order to satisfy the best efficiency of pipeline system and minimize the irrigate time, Flux control System is used to manage the circulate of controller which control the Electromagnetic valve.In order to irrigate greenbelt at the right time and appropriate amount, use Penman-Montieth formula which is recommended by Food and Agriculture Organization (FAO) to set up a Fuzzy control System to calculate the Reference Evapotranspiration day by day, take the Crop Evapotranspiration and soil moisture as inputs factor and the irrigation water as output factor, keep the soil moisture in preconcert range, Irrigation Water Fuzzy Estimate System was studied in this paper. In order to optimize system, Adaptive Neuron-Fuzzy Inference System (ANFIS) is used to optimize the subjection function of input factors. Take Beijing as the example to test the Irrigate Water Estimate System, Soil moisture has been keeping in preconcert range in testing period, and considering the infection of rainfall factor, avoid irrigation when it's raining.When Irrigation Water Estimate System estimates the amount of irrigation water, the runtime of the controller have been ensured from colligate the runtime of electromagnetic valve which is under the controller's control. Minimizing the difference of runtime between irrigation teams, considering the flux restrict, irrigation time restrict and unlock restrict, Flux Control System Model was studied in this paper. Make the variable as matrix to resolve the model easier. In order to enhance the resolve efficiency, change 0-1 integral programming to target distribute programming, use genetic algorithm, take decimal system coding, restore incorrectness key method and penalties function method to optimize and resolve the model. The optimization results show that the results are choiceness, it indicate that the Flux Control System is not only feasible, but run very well.