Design and Implement of the ECLSS Adaptive Learning Intelligent Decision Support System / 航天医学与医学工程

ABSTRACT

Objective To monitor state of environment control and life support system (ECLSS), and to diagnose faults and provide decision support in manned space flight. Methods According to the principle of decision support system, neural networks and the expert system, the foundational constructional structure and work flow of the ECLSS decision support system(EDSS) were designed,fault tree analyze(FTA) method was used to sort all of the faults and to form the expert knowledge framework, expert system and neural networks were integrated to adaptive learning from experience. Results In the two-men-five-days SZ-6 manned space flight, this software system worked well, and had reduced the difficulty and intensity of ground flight control and had provided good technological support for the consummation of this flight. Conclusion For the first time, the ECLSS decision support system is designed and implemented by using database and expert system technology. It can judge parameters state and diagnose faults exactly and rapidly, and the data models are designed correctly to give the rational result of parameter prediction.