Coordinated Resources Model And Decision-making Algorithm Of Satellites United Observation

Earth Observing Satellites (EOSs) obtain information of the earth's surface from outer space by using satellite sensors. They are widely used in the social, economic, and military applications. In recent years, as more and more EOSs are launched to meet the needs of various complicated types of remote sensing data, the challenge to scheduling of multiple types of EOSs is increased. Aim at these new applications, we need problem-solving mechanisms and the corresponding solution method.This dissertation studies the key technologies of the united Observation of multiple types of EOSs. Research focus is put onto combining multiple types of EOSs with multiple types of data transmitting resources, thus to meet the needs of various earth observing tasks. The main work and contributions of this dissertation can be concluded as the following four parts:1. We build a double-layer description of coordinated resources model for united observation of multiple types of EOSs. The dissertation systematically analyzes and summaries the scheduling features in the satellites united observation problem. Focusing on the characteristics of the scheduling workload and the diversity of the observing tasks, the dissertation concludes the problem model into two levels, and detailed to build the business execution level and planning constrained layer.2.We instantiate a coordinated resources model with ocean observation request and propose decision-making algorithms. By analyzing the characteristics of ocean observations business processes, based on coordinated resources model of satellites united observation, respectively, at two levels of workflow model and constrained optimization model is instantiated. Considering multiform data transmission mode coexistence, we present a scheduling algorithm for EOS based on the maximal ratio of gain and loss. Extensive experiments are implemented which verify the correctness and practicability of our approach.3.We propose the techniques to the scheduling of various data transmitting resources from both the satellites and ground stations. Through analyzing the satellites data transmission problem, a constraint optimization model that considers time window adjustment is proposed. Moreover, based on Squeaky-Wheel Optimization (SWO) which making long leaps in search space, a scheduling algorithm is presented. This algorithm can quickly obtain the optimal solution. Finally, extensive experiments are implemented which verify the correctness and practicability of our algorithm.4.We present a comprehensive evaluation model and analyze different decision-making algorithms in experiment. According to the AHP algorithm, comprehensive evaluation of satellites united observation is established, and three kinds of evaluation measurements was built; the unitary evaluation conclusion was formed in different situation of different algorithms, and a detailed analysis is given.