Development of a conceptual model of the system of decision support for acceptance control of onboard equipment

The results of development of conceptual model of intelligent decision support system (IDSS) are considered for acceptance control (AC) of onboard automated control system (OACS) of the aircraft. The aim of this work is the formation of the main requirements, principles of construction and development of a conceptual model of IDSS for AC of complex technical objects to ensure timely and accurate assessment of the condition of object of control with a minimum of resource depletion. As research methods we used methods of system analysis, technical control and diagnosis, decision-making and artificial intelligence. At the stage of identification of problem areas its main features have been considered, the problem has been formulated, objectives control requiring information support of decision-makers (DM) in implementing them have been set. As an index of efficiency of IDSS it offers to use the quantitative index of value of information. The information requirements, which IDSS provides the DM, given the structure of the source data and knowledge used in the development of IDSS, have been formulated. Basic principles over and requirements are brought to development and construction of IDSS. At the stage of conceptualization the intellectual ability of DM and experts in the underlying architecture are described. The formal specification of IDSS and its functions offers, a conceptual model over of the system is brought. The offered approaches to simulation of the functional modules of the knowledge base based on methods of the theory of an artificial intelligence are considered. The proposed model of IDSS, target different intellectual and methodological basis for acceptance control, gives the ability to automate the control process of OACS and make more informed management decisions on its results. In the paper the concept of construction of IDSS has potential for successful application in other enterprises of rocket-space industry to create systems of decision support for a range of applied and research tasks is considered.