Analysis of abnormal running behavior of mechanical operators based on sensor detection

Abstract

The dangerous and harmful factors of machinery manufacturing mainly include human unsafe behavior and consciousness factors, unsafe state factors of equipment and adverse environmental factors. The characteristics and classification of abnormal behavior are analyzed, the detection methods of operators' abnormal running behavior are compared, and the discrimination basis of operators' abnormal running behavior is analyzed. The wearable inertial sensor is studied. The acceleration sensor is used to measure the acceleration of the measured object, and the gyroscope sensor can measure the angle of the human body relative to the ground. MPU9250 is selected as the measurement tool of acceleration and angle to identify the abnormal behavior of the human body, and cooperate with the single chip microcomputer, It is conducive to the detection and early warning of abnormal behavior of mechanical operators.