Design of Intelligent Irrigation Control System for Garden Green Space Based on Intelligent Algorithm and GIS

Traditional urban greening water has serious waste of water resources, unreasonable absorption of water by greening plants and serious waste of social resources. China is extremely short of water resources, but there is still serious waste in the use of irrigation water for garden green space Therefore, it is of great practical significance to design and study a high-precision, high-reliability intelligent irrigation control system for garden green space, which can solve the current water use problem of urban greening and even modern agriculture. In this paper, the design of intelligent irrigation control system for garden green space based on intelligent algorithm and GIS (Geographic Information System) is put forward, and the automatic irrigation contro strategy using intelligent algorithm is put forward, and the intelligent irrigation control system for garden green space is designed and developed based on GIS. Realize information resource sharing, automatic collection, real-time transmission, data management functions, forecast scheduling, scientific accurate, and timely provision of modern application scheduling methods. In order to achieve better irrigation control results, a method combining BPNN (BP neural network) predictive control with fuzzy PID control is proposed. The research results show that the rise time and adjustment time of irrigation system based on intelligent algorithm and fuzzy control are shorter than those of fuzzy PID control and traditional PID control, and the irrigation control system can reach a stable state quickly, and its steady-state error is better than that of traditional PID and fuzzy PID control. The result show that BPNN predictive fuzzy PID control has better control performance and robustness. Compared with the traditional manual statistics, it greatly saves time, and the statistical results are more accurate, which improves the work efficiency.