А New Method of Personalized Training of Logging Machine Operators

Abstract

The paper presents a new method of personalized training for an operator. The method based on mathematical model of interaction between an operator and production equipment and offers an evaluation for a person's rate of making an operating decision. The key idea is to define typical acts of logging machine operator. The defined acts are presented in form of special test, which represents a simplest task. The training process is described through three main steps: watching, recalling and doing (WRD). In this case, the task result is time delay for motor and sensory layers as in real professional case. The model of interaction between operator and production equipment is represented in form of transfer functions. The transfer functions are a sequence of connected standard dynamical elements, which include a rate of information perception and decision making, and the means accuracy of controlling actions. The imitation model shows that during four seconds of the control action the beam moved by 1.281 m and a delay of the beam movement start after the control signal start for 0.578 sec. Therefore quality of operator's control is definitely determined by the following parameters: a time constant that means a response time of a neuromuscular system and human adaptive abilities and describes a rate of control action development; a ratio of human internal feedback and describes accuracy of the control action development, and an operator's response delay time.