Operating readiness evaluation method of first level information distribution AFES equipment at facilities of fuel and energy complex in special conditions

Introduction. The necessity of obtaining by decision makers (DM) of complete information on first level information distribution equipment operating readiness of Automated Process Control Systems (APCS) at any time. Data on the pre-fire condition at a facility of the fuel and energy complex (FEC) is transmitted using the control elements of Automated Fire and Explosion Safety Systems (AFES) as a part of the APCS. The connection of determining the state of readiness of the AFES equipment with the degree of preventive maintenance is shown. The aim of the study is to obtain a scientifically based tool for determining AFES equipment operating readiness.

Research methods. In order to solve the problem, there was selected a six-level graph of strategic planning model that is offered to a DM for use while evaluating the first level information distribution AFES equipment operating readiness. The hierarchy is based on the implementation of plans for the maintenance, repair and replacement of equipment. There were simulated verification measures and remedial procedures by using the method of successive increments. Two problems of mathematical programming are proposed — linear and nonlinear one. In the first case, a new form of the objective function was obtained, taking into account the maximum efficiency of plans implementation. In the nonlinear formulation in different forms, the criterion search function is considered to estimate the maximum efficiency. Optimal task solving is a conclusion about the use of a certain resource for one specific event. 

Study results. The conclusion was made about the feasibility of using the entire resource for a specific event. When solving the optimization problem in the nonlinear formulation, the dynamism of the parameters of the planned work vector to bring the first level AFES information sources in the required state, as well as the work performance intensity vector, is noted. As a result, there was proposed an AFES equipment integral operating readiness formula for a certain number of remedial measures.

Conclusion. A method for evaluating the effectiveness of remedial measures for AFES, taking into account the resource limited by special conditions, is obtained. The use of the method gives an opportunity for on-duty shifts of the fuel and energy complex facility to promptly respond to pre-fire situations. 

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