Multi-Combination Method for Intelligent Remote Sensing of Solar Energy Resources in Different Regions

Abstract

Solar energy is the main means of new energy development, which has the characteristics of a clean, safe and wide range of resources, but there are problems of large differences in radiation and heat in the process of solar energy collection, and how to effectively utilize solar energy resources is the focus of current research In order to improve the utilization effect of solar energy resources, this paper proposes a multi-component remote sensing analysis method based on remote sensing. Firstly, the solar energy resources were quantitatively analyzed to construct the solar energy resource utilization set. Then, with the help of multiple combination indicators such as solar trajectory, direct inclination, and light intensity, intelligent remote sensing judgment was carried out on solar energy resources. Finally, compared with a single measurement method, the utilization accuracy, utilization amount and utilization cost of solar energy resources are verified. The results show that the multivariate combination method can remotely sense solar energy resources in different regions and times, with a control rate of 56%, and a solar energy utilization set with an increase rate of 20%. Moreover, the multi-combination method can expand the control area of solar energy resources, and the expansion rate can be increased by 10%. Therefore, the multi-combination method can improve the utilization rate of solar energy resources, reduce labor costs and management costs, and increase power generation, which is better than a single measurement method.