Ground observation operation system architecture based on space cloud service

Abstract

The invention belongs to the field of space earth observation, and particularly relates to an earth observation operation system architecture based on space cloud service. The system is divided into a ground part and a sky part, the ground part is a foundation core node, and the sky part is a space-based edge node and a sensing node. And the space-based edge nodes realize full-time coverage of the airspace below 500km on the ground in an inter-satellite link networking mode. The ground-based core node has a real-time communication capability with the space-based edge node, and can realize sharing and sharing of space and ground resources through a cloud platform system. The number of the foundation core nodes can be expanded according to requirements. According to the earth observation operation system architecture based on the space cloud service, instruction real-time uploading, satellite data on-orbit processing and information product on-orbit distribution of remote sensing satellites can be achieved, and the timeliness of remote sensing satellite data can be greatly improved.

Description

technical field [0001] The invention belongs to the field of space earth observation, in particular to an earth observation operation system architecture based on a space cloud service. Background technique [0002] There are a large number of remote sensing satellites in my country, the data resources are increasingly abundant, and the application fields are also wider and wider. After more than ten years of development and construction, my country's remote sensing satellite technology and remote sensing information acquisition capabilities have reached the world's advanced level. However, there are still the following deficiencies in remote sensing satellite data receiving capability, data quality, timeliness of multi-station received data splicing and processing, and intelligent extraction of remote sensing information: [0003] (1) It does not have the ability to plan on-orbit missions, and the business measurement and control instructions cannot be placed in real time....

AI Technical Summary

Problems solved by technology

[0003] (1) It does not have the ability to plan on-orbit missions, and business measurement and control commands cannot be uploaded in real time

Current remote sensing satellites do not have on-orbit mission planning capabilities, and cannot complete the continuous tracking and monitoring tasks of time-sensitive targets

At present, commercial satellites mainly carry out business measurement and control through their own ground station network, some rent commercial measurement and control resources and the national receiving station network of the Chinese Academy of Sciences for business measurement and control, and civilian satellites rely on ground stations for business measurement and control. It can only be completed when resources are available. In an emergency, the measurement and control instructions cannot be uploaded in real time.

[0004] (2) The data cannot be returned in time, and the proportion of valid data is low

In the conventional mode, remote sensing satellites mainly complete data reception through their own ground station network, and its timeliness is limited by satellite transit and ground station network resources, especially when the satellite conducts overseas surveillance, it cannot return the data in the first time ;In data processing, using civil and commercial satellite application systems for product production, a large amount of data is invalid data such as oceans, clouds, or background features, and the proportion of valid data is low, but these data occupy a lot of resources in the transmission and processing links. Limit the timeliness of data acquisition

[0005] (3) The data sharing and distribution chain is long and the timeliness is low

Remote sensing satellite data needs to be received and processed by the ground station to generate product information and distribute it to users. The distribution chain is long and the sharing efficiency is low

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