Rural road ecological landscape planning system based on interactive genetic algorithm

Shanghai Lida University, Shanghai, 201609, China

2080235@tongji.edu.cn

Abstract

Traditional vegetation landscape spatial hierarchical planning system is faced with huge and complex real data, because its throughput is too low to get more accurate data, this paper proposes a rural road ecological landscape planning system based on interactive genetic algorithm. In the hardware design of the system, the structure distribution of ZingRDK feature extraction hardware is mainly designed, and the functions and parameters of the chip and HDMI interface in the structure are designed in detail. In the software design of the system, the interactive genetic algorithm is applied to the planning process, and then the visual feature reconstruction method is used to collect the green plant landscape image. The edge contour feature of the collected image is extracted, and the color component fusion method is used to enhance the information of green plant landscape image. The intuitionistic ambiguity set of multi-resolution landscape image is given, and the intelligent landscape planning result is calculated by fuzzy information clustering method. The results of the system test show that the net data throughput of the designed rural road landscape planning system is greater than that of the traditional planning system, which indicates that the plant landscape planning system has stronger ability to acquire and process data.