Features of determining the capabilities of the UAV ground control station to respond to abnormal situations during the monitoring of territories, taking into account the mistakes of operators and their level of training

Abstract

The subject of study in this paper is the process of managing a fleet of UAVs in abnomal situations. The gоal of the paper is to study the effect of the errors of the operators of the UAV ground control station (GCS) and their level of training on the capabilities of the GCS in responding to abnormal situations. The tasks to be solved are: to analyze literary sources and systematize data on the causes of operator errors, the organization of their training, models for determining the required number of GCS operators; to develop an algorithm for determining the parameters necessary to assess the capacity of GCS for responding to abnormal situations; conduct research in accordance with the stated goal. The following results were obtained. It is shown that the main causes of operator errors when reacting to abnormal situations are: fatigue and dispersal; lack of training; lack of experience to act in abnormal situations; improper distribution of the load on GCS operators; psychological unwillingness to act in abnormal situations; insufficient professional instructions on actions in abnormal situations; imperfect human-machine interface. The expediency of considering the system “GCS operators - UAV” as a closed multi-channel queuing system with waiting is grounded and the structure of such a system is proposed. A list of parameters necessary for assessing the capabilities of the GCS for responding to abnormal situations is formulated and an algorithm for calculating them is proposed. It was determined that, for the considered initial data, increasing the level of operators training reduces: the number of UAVs that are both in the service queue and under the control of operators (by 1.87 UAVs); the average time spent by the UAV in the queue and under the control of the operators (by 19.4 minutes); the number of operators to ensure the absence of UAVs in the queue (twice). The results obtained should be used to create decision support systems for managing UAVs and to substantiate the required number of GCS operators.