Overview

What are challenges to install (AI) automated system in space stations ?I shall indicate one challenge case to explain how Earth space station installs (AI) automated control system to assist future any each spacecraft to achieve lot missions more productive and efficient. To install (AI) automated control system, which will follow two challenge views to achieve in success as below: The first challenge view aims to apply (AI) automated system to increase the quality and productivity of each space mission current experience. However, proponents of this challenge viewpoint believed that the (AI) expert system should be developed to allow and experienced operator to make better flight decisions. They do not believe future (AI) artificial intelligent automated control system can make more accurate decisions or operator to reduce or avoid sudden accident occurrence chances during their every space mission trip. However, (AI) automated control system scientists believed that this could be done by developing a (AI) automated control system capable of continuously analyzing all incoming telemetry to a depth that would be impractical ever for an experienced operator. Moreover, the (AI) automated control system scientists felt that the potential dollar value of this (AI) space automated control system investment is difficult to quantify. They indicated that a single good decision which allowed completion of a several hundred million dollar mission would clearly pay for a large amount of (AI0 automated control system work, but it is difficult to say that the good decision was completely the result of the expert system.Developing an (AI) space station expert system needs to meet this goal, such as: Reducing every time space mission flight accident occurrence as well as assisting human space flight operators to control spacecraft equipment to raise every space mission trip efficiency and productivity. So, it requires the incorporation of deep knowledge about a given spacecraft monitoring task. Hence, the first challenge to (AI) expert system to be how to install to space stations, it is the unpredictable (AI) expert system investment amount spending and lacked depth knowledge skill of personnel each (AI) expert operator. It is only one (AI) expert system research stage to future space stations. It still needs time to research how to invent (AI) automated control system to assist space stations to implement productivity and efficiency as well as deducing space accident occurrence chances to future every space mission.The second challenge view was how to use (AI) expert systems to allow each less experienced space flight personnel operator to perform at the level of more senior personnel. That has a measurable cost benefit that it allows shorter training times. This viewpoint requires an emphasis on breadth of knowledge as well as improved human-computer interfaces. Thus, the second challenge is unsure achievement of shorter training times measurement to assist less experienced personnel space flight operators from (AI) space expert systems assistance to achieve shorter training time productivity and efficiency aim. Consequently, (AI) experts need to solve these two challenges to avoid space station operators feel worries whether (AI) technology can really help them to work in order to achieve (AI) automated operation control system achievement to space stations installation implementation for every space mission plan in success.

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