Abstract
To realize the management and control of the water-saving irrigation of the path pipeline distribution in field plots, get the terrain information through remote sensing technology and analyze the path and the amount of the water in the field plots by the ant colony algorithm according to the matter of the low generality in most parts in China. The result shows that the rules were put forward with shorter path, smaller cost and the most utilization of water eventually. It can be widely used in most areas which is lack of water and scientific technology.
Highlights
1.1 Test plan This test is based on the field plot in Shuang Yashan,Hei Longjiang Province where the Regional differentiation is obvious, the land is trapezoidal orderly and the soil types are various that is suitable for the design of deployment of water-saving pipeline.Choose a coordinate point in the experimental plot area of the high terrain,calculate the approximate optimal solution by the ant colony algorithm and set the line path optimization.Soil moisture monitoring equipment uses the GPRS wireless communication mode and the lower soil can reach the humidity without the hydrovalve directly when the higher soil humidity is set
Ant colony algorithm can make sure the action mode and path and get the process disorderly to orderly by the pheromone.M ants start from a city,and come to the judging by (4) and put tabuk .The pheromone will be changed according to (1)(2)(3) and the change can affect the construction of (4).After the repeated cycle,the optimal solution will be put forward
From the above figure we can see that the total amount of water is 3888000m3, there are some loss in flowing through the branches and the effective amount of water eventually reach to 3110402m3 .To ensure the most increasing product in the case,the vegetables need 1453412.25 m3 while the apples need 1656769.50m3. the area of apples is just as 60% as the vegetables,the water distribution tends to apples,that’s because the apples are high economic crop
Summary
The ant colony algorithm was raised connecting to the research of TSP, which was called the traveling businessman matter. L k is the distance of Number K ant walkspikj is the probability of the first k ant moving direction. The ants are controlled by directions of probabilities,we set the route at t as allowedk ,the tabu table is tabuk. There is allowedk ^0,1,..., n 1` tabuk DŽ Construct the following probability expressions by introducing information stimulating factor and expect stimulating factor p. Ant colony algorithm can make sure the action mode and path and get the process disorderly to orderly by the pheromone.M ants start from a city,and come to the judging by (4) and put tabuk .The pheromone will be changed according to (1)(2)(3) and the change can affect the construction of (4).After the repeated cycle,the optimal solution will be put forward. Figure[2].The scatter diagram of the data Calculate the processes and code them by Matlab,the route is 4-12-7-9-1-3-7-5-6-11-8-13-17-16-2-12-14-15-18 , and the summation of them is
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