Abstract
The synthesis method based on the use of information invariants is proposed, and structural-parametric synthesis of the Quanton diagnostic and health complex is performed. Structural and parametric optimization of the complex is carried out according to the performance criterion. As information invariants, complete (within the accepted classification) sets of methods to obtain the functional properties of the complex, phase cycles of the life cycle, structures of technical subsystems and methods for controlling the technicalization levels, productivity and energy efficiency of processes are used. The sets of methods to obtain the functional properties of the complex and phase cycles of the life cycle are formed by elementwise complication of the corresponding attributes. The set of structures of technical subsystems corresponding to certain levels of technicalization of functions is determined on the basis of the periodic system of technical elements. Complete sets of possible structural solutions for methods of controlling the productivity and energy efficiency of processes are obtained by the topological product of the sets of types of objects by the types of methods for ensuring the required properties or qualities of objects. For each structurally different variant, the usual object parameterization procedure and the system of dependencies of the deductive parametric optimization problem are applied. The system of dependencies is a specific case of parametric information invariants. The dependencies are specified using the information about the necessary source data and target transformations occurring in the Quanton complex during the interaction of subsystems. The algorithm for finding an extremely effective solution is step-by-step. This algorithm assumes a step-by-step determination of the optimal process performance parameters within the limiting contours and subsequent improvement of energy efficiency and quality. Due to the use of complete sets of process structures, elements and discrete-continuum procedure of search for the optimal solution, the integration of the optimization of technical innovation is achieved.
Highlights
The Quanton diagnostic and health complex is a technical innovation designed to perform a triple function: non-invasive diagnostics of people, gaining information about the characteristics of the desired health normalizing effect on them and implementation of this effect
Sets of methods to obtain the functional properties of the complex, phase cycles of the life cycle, structures of technical subsystems and means to control the technicalization levels, productivity and energy efficiency of processes can be used
The search for the extremely effective solution involves step-by-step determination of optimal parameter values within the limiting contours for each of the structural variants of the complex ranked by the level of complexity
Summary
The Quanton diagnostic and health complex is a technical innovation designed to perform a triple function: non-invasive diagnostics of people, gaining information about the characteristics of the desired health normalizing effect on them and implementation of this effect. Information and controlling system method, with its level of reliability, confirms or denies these results and, if confirmed, sets the necessary parameters of the normalizing electro-wave bioresonance effect The combination of these functions in one complex makes it promising for wide use. To ensure its effective application in health care facilities, and in everyday life, it is necessary to carry out optimization synthesis The purpose of this task is to optimize the structure and parameters of the complex to obtain proper performance indicators: functionality, reliability of diagnostic results, efficiency of health effect and productivity. In the published patents [1, 2] methods of directed optimization structural-parametric synthesis of computer-integrated systems for combined performance of diagnostic and health functions are not described and not used in practice. General scientific bases for this purpose are created by works in the field of the theory of complex systems, theory of mechanisms and machines, theory of optimization
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